Federated M L
Table of Contents
COLT
ISCA
IEEE Symposium on Security and Privacy
CSET @ USENIX Security Symposium
ALT
SVM@ICSE
SEiGS@ICSE
ICSE Companion
CIKM Workshops
CIMS
IEEE Trans. Inf. Technol. Biomed.
ACM Trans. Storage
Found. Trends Mach. Learn.
IEEE ACM Trans. Audio Speech Lang. Process.
Trans. Assoc. Comput. Linguistics
NeurIPS
Expand NeurIPS
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| (FL)2: Overcoming Few Labels in Federated Semi-Supervised Learning. | NeurIPS | 2024 | Link |
| A Bayesian Approach for Personalized Federated Learning in Heterogeneous Settings. | NeurIPS | 2024 | Link |
| A Swiss Army Knife for Heterogeneous Federated Learning: Flexible Coupling via Trace Norm. | NeurIPS | 2024 | Link |
| A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs. | NeurIPS | 2024 | Link |
| Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views. | NeurIPS | 2024 | Link |
| Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Drift. | NeurIPS | 2024 | Link |
| Communication-Efficient Federated Group Distributionally Robust Optimization. | NeurIPS | 2024 | Link |
| Confusion-Resistant Federated Learning via Diffusion-Based Data Harmonization on Non-IID Data. | NeurIPS | 2024 | Link |
| Convergence Analysis of Split Federated Learning on Heterogeneous Data. | NeurIPS | 2024 | Link |
| DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices. | NeurIPS | 2024 | Link |
| DataStealing: Steal Data from Diffusion Models in Federated Learning with Multiple Trojans. | NeurIPS | 2024 | Link |
| DoFIT: Domain-aware Federated Instruction Tuning with Alleviated Catastrophic Forgetting. | NeurIPS | 2024 | Link |
| Does Egalitarian Fairness Lead to Instability? The Fairness Bounds in Stable Federated Learning Under Altruistic Behaviors. | NeurIPS | 2024 | Link |
| Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning. | NeurIPS | 2024 | Link |
| Dual-Personalizing Adapter for Federated Foundation Models. | NeurIPS | 2024 | Link |
| Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability. | NeurIPS | 2024 | Link |
| FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding? | NeurIPS | 2024 | Link |
| FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection. | NeurIPS | 2024 | Link |
| FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction. | NeurIPS | 2024 | Link |
| FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations. | NeurIPS | 2024 | Link |
| FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection. | NeurIPS | 2024 | Link |
| FedAvP: Augment Local Data via Shared Policy in Federated Learning. | NeurIPS | 2024 | Link |
| FedGMKD: An Efficient Prototype Federated Learning Framework through Knowledge Distillation and Discrepancy-Aware Aggregation. | NeurIPS | 2024 | Link |
| FedGMark: Certifiably Robust Watermarking for Federated Graph Learning. | NeurIPS | 2024 | Link |
| FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning. | NeurIPS | 2024 | Link |
| FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models. | NeurIPS | 2024 | Link |
| FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation. | NeurIPS | 2024 | Link |
| FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction. | NeurIPS | 2024 | Link |
| FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference. | NeurIPS | 2024 | Link |
| Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning. | NeurIPS | 2024 | Link |
| Federated Black-Box Adaptation for Semantic Segmentation. | NeurIPS | 2024 | Link |
| Federated Ensemble-Directed Offline Reinforcement Learning. | NeurIPS | 2024 | Link |
| Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client Resources. | NeurIPS | 2024 | Link |
| Federated Graph Learning for Cross-Domain Recommendation. | NeurIPS | 2024 | Link |
| Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method. | NeurIPS | 2024 | Link |
| Federated Learning over Connected Modes. | NeurIPS | 2024 | Link |
| Federated Learning under Periodic Client Participation and Heterogeneous Data: A New Communication-Efficient Algorithm and Analysis. | NeurIPS | 2024 | Link |
| Federated Model Heterogeneous Matryoshka Representation Learning. | NeurIPS | 2024 | Link |
| Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning. | NeurIPS | 2024 | Link |
| Federated Online Prediction from Experts with Differential Privacy: Separations and Regret Speed-ups. | NeurIPS | 2024 | Link |
| Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data. | NeurIPS | 2024 | Link |
| Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity. | NeurIPS | 2024 | Link |
| Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial Clients. | NeurIPS | 2024 | Link |
| Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning. | NeurIPS | 2024 | Link |
| FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion. | NeurIPS | 2024 | Link |
| HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate Federated Learning. | NeurIPS | 2024 | Link |
| Heterogeneity-Guided Client Sampling: Towards Fast and Efficient Non-IID Federated Learning. | NeurIPS | 2024 | Link |
| Hierarchical Federated Learning with Multi-Timescale Gradient Correction. | NeurIPS | 2024 | Link |
| Improving Generalization in Federated Learning with Model-Data Mutual Information Regularization: A Posterior Inference Approach. | NeurIPS | 2024 | Link |
| Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning. | NeurIPS | 2024 | Link |
| Low Precision Local Training is Enough for Federated Learning. | NeurIPS | 2024 | Link |
| Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data. | NeurIPS | 2024 | Link |
| One-shot Federated Learning via Synthetic Distiller-Distillate Communication. | NeurIPS | 2024 | Link |
| Parameter Disparities Dissection for Backdoor Defense in Heterogeneous Federated Learning. | NeurIPS | 2024 | Link |
| Personalized Federated Learning via Feature Distribution Adaptation. | NeurIPS | 2024 | Link |
| Personalized Federated Learning with Mixture of Models for Adaptive Prediction and Model Fine-Tuning. | NeurIPS | 2024 | Link |
| Private and Personalized Frequency Estimation in a Federated Setting. | NeurIPS | 2024 | Link |
| Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data. | NeurIPS | 2024 | Link |
| RFLPA: A Robust Federated Learning Framework against Poisoning Attacks with Secure Aggregation. | NeurIPS | 2024 | Link |
| Resource-Aware Federated Self-Supervised Learning with Global Class Representations. | NeurIPS | 2024 | Link |
| Revisiting Ensembling in One-Shot Federated Learning. | NeurIPS | 2024 | Link |
| SCAFFLSA: Taming Heterogeneity in Federated Linear Stochastic Approximation and TD Learning. | NeurIPS | 2024 | Link |
| SPEAR: Exact Gradient Inversion of Batches in Federated Learning. | NeurIPS | 2024 | Link |
| SpaFL: Communication-Efficient Federated Learning With Sparse Models And Low Computational Overhead. | NeurIPS | 2024 | Link |
| Stabilized Proximal-Point Methods for Federated Optimization. | NeurIPS | 2024 | Link |
| Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains. | NeurIPS | 2024 | Link |
| The Power of Extrapolation in Federated Learning. | NeurIPS | 2024 | Link |
| The Sample-Communication Complexity Trade-off in Federated Q-Learning. | NeurIPS | 2024 | Link |
| Thinking Forward: Memory-Efficient Federated Finetuning of Language Models. | NeurIPS | 2024 | Link |
| Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting. | NeurIPS | 2024 | Link |
| Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integration. | NeurIPS | 2024 | Link |
| Why Go Full? Elevating Federated Learning Through Partial Network Updates. | NeurIPS | 2024 | Link |
| pFedClub: Controllable Heterogeneous Model Aggregation for Personalized Federated Learning. | NeurIPS | 2024 | Link |
| pfl-research: simulation framework for accelerating research in Private Federated Learning. | NeurIPS | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks. | NeurIPS | 2023 | Link |
| A Unified Solution for Privacy and Communication Efficiency in Vertical Federated Learning. | NeurIPS | 2023 | Link |
| A3FL: Adversarially Adaptive Backdoor Attacks to Federated Learning. | NeurIPS | 2023 | Link |
| Adaptive Test-Time Personalization for Federated Learning. | NeurIPS | 2023 | Link |
| Communication-Efficient Federated Bilevel Optimization with Global and Local Lower Level Problems. | NeurIPS | 2023 | Link |
| Convergence Analysis of Sequential Federated Learning on Heterogeneous Data. | NeurIPS | 2023 | Link |
| DELTA: Diverse Client Sampling for Fasting Federated Learning. | NeurIPS | 2023 | Link |
| DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning. | NeurIPS | 2023 | Link |
| Dynamic Personalized Federated Learning with Adaptive Differential Privacy. | NeurIPS | 2023 | Link |
| Eliminating Domain Bias for Federated Learning in Representation Space. | NeurIPS | 2023 | Link |
| Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction. | NeurIPS | 2023 | Link |
| EvoFed: Leveraging Evolutionary Strategies for Communication-Efficient Federated Learning. | NeurIPS | 2023 | Link |
| FLuID: Mitigating Stragglers in Federated Learning using Invariant Dropout. | NeurIPS | 2023 | Link |
| Fed-CO2: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning. | NeurIPS | 2023 | Link |
| Fed-FA: Theoretically Modeling Client Data Divergence for Federated Language Backdoor Defense. | NeurIPS | 2023 | Link |
| Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer. | NeurIPS | 2023 | Link |
| FedFed: Feature Distillation against Data Heterogeneity in Federated Learning. | NeurIPS | 2023 | Link |
| FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks. | NeurIPS | 2023 | Link |
| FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated Learning. | NeurIPS | 2023 | Link |
| FedL2P: Federated Learning to Personalize. | NeurIPS | 2023 | Link |
| FedNAR: Federated Optimization with Normalized Annealing Regularization. | NeurIPS | 2023 | Link |
| Federated Compositional Deep AUC Maximization. | NeurIPS | 2023 | Link |
| Federated Conditional Stochastic Optimization. | NeurIPS | 2023 | Link |
| Federated Learning via Meta-Variational Dropout. | NeurIPS | 2023 | Link |
| Federated Learning with Bilateral Curation for Partially Class-Disjoint Data. | NeurIPS | 2023 | Link |
| Federated Learning with Client Subsampling, Data Heterogeneity, and Unbounded Smoothness: A New Algorithm and Lower Bounds. | NeurIPS | 2023 | Link |
| Federated Learning with Manifold Regularization and Normalized Update Reaggregation. | NeurIPS | 2023 | Link |
| Federated Linear Bandits with Finite Adversarial Actions. | NeurIPS | 2023 | Link |
| Federated Multi-Objective Learning. | NeurIPS | 2023 | Link |
| Federated Spectral Clustering via Secure Similarity Reconstruction. | NeurIPS | 2023 | Link |
| Fine-Grained Theoretical Analysis of Federated Zeroth-Order Optimization. | NeurIPS | 2023 | Link |
| Flow: Per-instance Personalized Federated Learning. | NeurIPS | 2023 | Link |
| Guiding The Last Layer in Federated Learning with Pre-Trained Models. | NeurIPS | 2023 | Link |
| Handling Data Heterogeneity via Architectural Design for Federated Visual Recognition. | NeurIPS | 2023 | Link |
| IBA: Towards Irreversible Backdoor Attacks in Federated Learning. | NeurIPS | 2023 | Link |
| Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates. | NeurIPS | 2023 | Link |
| Incentives in Federated Learning: Equilibria, Dynamics, and Mechanisms for Welfare Maximization. | NeurIPS | 2023 | Link |
| Incentivized Communication for Federated Bandits. | NeurIPS | 2023 | Link |
| Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning. | NeurIPS | 2023 | Link |
| Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace Training. | NeurIPS | 2023 | Link |
| Mobilizing Personalized Federated Learning in Infrastructure-Less and Heterogeneous Environments via Random Walk Stochastic ADMM. | NeurIPS | 2023 | Link |
| Multiply Robust Federated Estimation of Targeted Average Treatment Effects. | NeurIPS | 2023 | Link |
| Navigating Data Heterogeneity in Federated Learning: A Semi-Supervised Approach for Object Detection. | NeurIPS | 2023 | Link |
| One-Pass Distribution Sketch for Measuring Data Heterogeneity in Federated Learning. | NeurIPS | 2023 | Link |
| PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning. | NeurIPS | 2023 | Link |
| Private Federated Frequency Estimation: Adapting to the Hardness of the Instance. | NeurIPS | 2023 | Link |
| RECESS Vaccine for Federated Learning: Proactive Defense Against Model Poisoning Attacks. | NeurIPS | 2023 | Link |
| Resolving the Tug-of-War: A Separation of Communication and Learning in Federated Learning. | NeurIPS | 2023 | Link |
| SPACE: Single-round Participant Amalgamation for Contribution Evaluation in Federated Learning. | NeurIPS | 2023 | Link |
| SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning. | NeurIPS | 2023 | Link |
| Solving a Class of Non-Convex Minimax Optimization in Federated Learning. | NeurIPS | 2023 | Link |
| Spectral Co-Distillation for Personalized Federated Learning. | NeurIPS | 2023 | Link |
| StableFDG: Style and Attention Based Learning for Federated Domain Generalization. | NeurIPS | 2023 | Link |
| Structured Federated Learning through Clustered Additive Modeling. | NeurIPS | 2023 | Link |
| Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning. | NeurIPS | 2023 | Link |
| Towards Personalized Federated Learning via Heterogeneous Model Reassembly. | NeurIPS | 2023 | Link |
| Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization. | NeurIPS | 2023 | Link |
| Wyze Rule: Federated Rule Dataset for Rule Recommendation Benchmarking. | NeurIPS | 2023 | Link |
| Zeroth-Order Methods for Nondifferentiable, Nonconvex, and Hierarchical Federated Optimization. | NeurIPS | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| A Communication-efficient Algorithm with Linear Convergence for Federated Minimax Learning. | NeurIPS | 2022 | Link |
| A Coupled Design of Exploiting Record Similarity for Practical Vertical Federated Learning. | NeurIPS | 2022 | Link |
| A Simple and Provably Efficient Algorithm for Asynchronous Federated Contextual Linear Bandits. | NeurIPS | 2022 | Link |
| A Unified Analysis of Federated Learning with Arbitrary Client Participation. | NeurIPS | 2022 | Link |
| An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects. | NeurIPS | 2022 | Link |
| Byzantine-tolerant federated Gaussian process regression for streaming data. | NeurIPS | 2022 | Link |
| CalFAT: Calibrated Federated Adversarial Training with Label Skewness. | NeurIPS | 2022 | Link |
| Communication Efficient Federated Learning for Generalized Linear Bandits. | NeurIPS | 2022 | Link |
| Coresets for Vertical Federated Learning: Regularized Linear Regression and $K$-Means Clustering. | NeurIPS | 2022 | Link |
| DENSE: Data-Free One-Shot Federated Learning. | NeurIPS | 2022 | Link |
| DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing. | NeurIPS | 2022 | Link |
| FLAIR: Federated Learning Annotated Image Repository. | NeurIPS | 2022 | Link |
| FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings. | NeurIPS | 2022 | Link |
| Factorized-FL: Personalized Federated Learning with Parameter Factorization & Similarity Matching. | NeurIPS | 2022 | Link |
| FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning. | NeurIPS | 2022 | Link |
| Fairness in Federated Learning via Core-Stability. | NeurIPS | 2022 | Link |
| FedPop: A Bayesian Approach for Personalised Federated Learning. | NeurIPS | 2022 | Link |
| FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction. | NeurIPS | 2022 | Link |
| FedSR: A Simple and Effective Domain Generalization Method for Federated Learning. | NeurIPS | 2022 | Link |
| Federated Learning from Pre-Trained Models: A Contrastive Learning Approach. | NeurIPS | 2022 | Link |
| Federated Submodel Optimization for Hot and Cold Data Features. | NeurIPS | 2022 | Link |
| Global Convergence of Federated Learning for Mixed Regression. | NeurIPS | 2022 | Link |
| Learning to Attack Federated Learning: A Model-based Reinforcement Learning Attack Framework. | NeurIPS | 2022 | Link |
| On Privacy and Personalization in Cross-Silo Federated Learning. | NeurIPS | 2022 | Link |
| On Sample Optimality in Personalized Collaborative and Federated Learning. | NeurIPS | 2022 | Link |
| Personalized Federated Learning towards Communication Efficiency, Robustness and Fairness. | NeurIPS | 2022 | Link |
| Personalized Online Federated Learning with Multiple Kernels. | NeurIPS | 2022 | Link |
| Preservation of the Global Knowledge by Not-True Distillation in Federated Learning. | NeurIPS | 2022 | Link |
| Recovering Private Text in Federated Learning of Language Models. | NeurIPS | 2022 | Link |
| Resource-Adaptive Federated Learning with All-In-One Neural Composition. | NeurIPS | 2022 | Link |
| SAGDA: Achieving $\mathcal{O}(\epsilon{-2})$ Communication Complexity in Federated Min-Max Learning. | NeurIPS | 2022 | Link |
| SecureFedYJ: a safe feature Gaussianization protocol for Federated Learning. | NeurIPS | 2022 | Link |
| Self-Aware Personalized Federated Learning. | NeurIPS | 2022 | Link |
| SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training. | NeurIPS | 2022 | Link |
| Sharper Convergence Guarantees for Asynchronous SGD for Distributed and Federated Learning. | NeurIPS | 2022 | Link |
| SoteriaFL: A Unified Framework for Private Federated Learning with Communication Compression. | NeurIPS | 2022 | Link |
| TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels. | NeurIPS | 2022 | Link |
| Taming Fat-Tailed ("Heavier-Tailed" with Potentially Infinite Variance) Noise in Federated Learning. | NeurIPS | 2022 | Link |
| VF-PS: How to Select Important Participants in Vertical Federated Learning, Efficiently and Securely? | NeurIPS | 2022 | Link |
| Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning. | NeurIPS | 2022 | Link |
| pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning. | NeurIPS | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning. | NeurIPS | 2021 | Link |
| Breaking the centralized barrier for cross-device federated learning. | NeurIPS | 2021 | Link |
| Catastrophic Data Leakage in Vertical Federated Learning. | NeurIPS | 2021 | Link |
| DeepReduce: A Sparse-tensor Communication Framework for Federated Deep Learning. | NeurIPS | 2021 | Link |
| Delayed Gradient Averaging: Tolerate the Communication Latency for Federated Learning. | NeurIPS | 2021 | Link |
| Differentially Private Federated Bayesian Optimization with Distributed Exploration. | NeurIPS | 2021 | Link |
| Evaluating Gradient Inversion Attacks and Defenses in Federated Learning. | NeurIPS | 2021 | Link |
| FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective. | NeurIPS | 2021 | Link |
| Fast Federated Learning in the Presence of Arbitrary Device Unavailability. | NeurIPS | 2021 | Link |
| Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee. | NeurIPS | 2021 | Link |
| FedDR - Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization. | NeurIPS | 2021 | Link |
| Federated Graph Classification over Non-IID Graphs. | NeurIPS | 2021 | Link |
| Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing. | NeurIPS | 2021 | Link |
| Federated Linear Contextual Bandits. | NeurIPS | 2021 | Link |
| Federated Multi-Task Learning under a Mixture of Distributions. | NeurIPS | 2021 | Link |
| Federated Reconstruction: Partially Local Federated Learning. | NeurIPS | 2021 | Link |
| Federated Split Task-Agnostic Vision Transformer for COVID-19 CXR Diagnosis. | NeurIPS | 2021 | Link |
| Federated-EM with heterogeneity mitigation and variance reduction. | NeurIPS | 2021 | Link |
| Few-Round Learning for Federated Learning. | NeurIPS | 2021 | Link |
| FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout. | NeurIPS | 2021 | Link |
| Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients. | NeurIPS | 2021 | Link |
| No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data. | NeurIPS | 2021 | Link |
| On Large-Cohort Training for Federated Learning. | NeurIPS | 2021 | Link |
| Optimality and Stability in Federated Learning: A Game-theoretic Approach. | NeurIPS | 2021 | Link |
| Parameterized Knowledge Transfer for Personalized Federated Learning. | NeurIPS | 2021 | Link |
| PartialFed: Cross-Domain Personalized Federated Learning via Partial Initialization. | NeurIPS | 2021 | Link |
| Personalized Federated Learning With Gaussian Processes. | NeurIPS | 2021 | Link |
| QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning. | NeurIPS | 2021 | Link |
| STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning. | NeurIPS | 2021 | Link |
| Sageflow: Robust Federated Learning against Both Stragglers and Adversaries. | NeurIPS | 2021 | Link |
| Subgraph Federated Learning with Missing Neighbor Generation. | NeurIPS | 2021 | Link |
| The Skellam Mechanism for Differentially Private Federated Learning. | NeurIPS | 2021 | Link |
2020
| Title | Venue | Year | Link |
|---|---|---|---|
| An Efficient Framework for Clustered Federated Learning. | NeurIPS | 2020 | Link |
| Attack of the Tails: Yes, You Really Can Backdoor Federated Learning. | NeurIPS | 2020 | Link |
| Differentially-Private Federated Linear Bandits. | NeurIPS | 2020 | Link |
| Distributionally Robust Federated Averaging. | NeurIPS | 2020 | Link |
| Ensemble Distillation for Robust Model Fusion in Federated Learning. | NeurIPS | 2020 | Link |
| FedSplit: an algorithmic framework for fast federated optimization. | NeurIPS | 2020 | Link |
| Federated Accelerated Stochastic Gradient Descent. | NeurIPS | 2020 | Link |
| Federated Bayesian Optimization via Thompson Sampling. | NeurIPS | 2020 | Link |
| Federated Principal Component Analysis. | NeurIPS | 2020 | Link |
| Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge. | NeurIPS | 2020 | Link |
| Inverting Gradients - How easy is it to break privacy in federated learning? | NeurIPS | 2020 | Link |
| Lower Bounds and Optimal Algorithms for Personalized Federated Learning. | NeurIPS | 2020 | Link |
| Personalized Federated Learning with Moreau Envelopes. | NeurIPS | 2020 | Link |
| Personalized Federated Learning with Theoretical Guarantees: A Model-Agnostic Meta-Learning Approach. | NeurIPS | 2020 | Link |
| Robust Federated Learning: The Case of Affine Distribution Shifts. | NeurIPS | 2020 | Link |
| Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization. | NeurIPS | 2020 | Link |
| Throughput-Optimal Topology Design for Cross-Silo Federated Learning. | NeurIPS | 2020 | Link |
ICML
Expand ICML
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| An Effective and Secure Federated Multi-View Clustering Method with Information-Theoretic Perspective. | ICML | 2025 | Link |
| BSemiFL: Semi-supervised Federated Learning via a Bayesian Approach. | ICML | 2025 | Link |
| Byzantine-Resilient Federated Alternating Gradient Descent and Minimization for Partly-Decoupled Low Rank Matrix Learning. | ICML | 2025 | Link |
| CAN: Leveraging Clients As Navigators for Generative Replay in Federated Continual Learning. | ICML | 2025 | Link |
| Causality Inspired Federated Learning for OOD Generalization. | ICML | 2025 | Link |
| Certifiably Robust Model Evaluation in Federated Learning under Meta-Distributional Shifts. | ICML | 2025 | Link |
| Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off. | ICML | 2025 | Link |
| DMM: Distributed Matrix Mechanism for Differentially-Private Federated Learning Based on Constant-Overhead Linear Secret Resharing. | ICML | 2025 | Link |
| Differentially Private Federated k-Means Clustering with Server-Side Data. | ICML | 2025 | Link |
| Does One-shot Give the Best Shot? Mitigating Model Inconsistency in One-shot Federated Learning. | ICML | 2025 | Link |
| EAGLES: Towards Effective, Efficient, and Economical Federated Graph Learning via Unified Sparsification. | ICML | 2025 | Link |
| Efficient Federated Incomplete Multi-View Clustering. | ICML | 2025 | Link |
| Efficient Heterogeneity-Aware Federated Active Data Selection. | ICML | 2025 | Link |
| Enhancing Foundation Models with Federated Domain Knowledge Infusion. | ICML | 2025 | Link |
| FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models. | ICML | 2025 | Link |
| FSL-SAGE: Accelerating Federated Split Learning via Smashed Activation Gradient Estimation. | ICML | 2025 | Link |
| FedBEns: One-Shot Federated Learning based on Bayesian Ensemble. | ICML | 2025 | Link |
| FedClean: A General Robust Label Noise Correction for Federated Learning. | ICML | 2025 | Link |
| FedECADO: A Dynamical System Model of Federated Learning. | ICML | 2025 | Link |
| FedOne: Query-Efficient Federated Learning for Black-box Discrete Prompt Learning. | ICML | 2025 | Link |
| FedPHA: Federated Prompt Learning for Heterogeneous Client Adaptation. | ICML | 2025 | Link |
| FedSMU: Communication-Efficient and Generalization-Enhanced Federated Learning through Symbolic Model Updates. | ICML | 2025 | Link |
| FedSSI: Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence. | ICML | 2025 | Link |
| Federated Causal Structure Learning with Non-identical Variable Sets. | ICML | 2025 | Link |
| Federated Disentangled Tuning with Textual Prior Decoupling and Visual Dynamic Adaptation. | ICML | 2025 | Link |
| Federated Generalised Variational Inference: A Robust Probabilistic Federated Learning Framework. | ICML | 2025 | Link |
| Federated In-Context Learning: Iterative Refinement for Improved Answer Quality. | ICML | 2025 | Link |
| Federated Incomplete Multi-view Clustering with Globally Fused Graph Guidance. | ICML | 2025 | Link |
| Federated Learning for Feature Generalization with Convex Constraints. | ICML | 2025 | Link |
| Federated Node-Level Clustering Network with Cross-Subgraph Link Mending. | ICML | 2025 | Link |
| Federated Oriented Learning: A Practical One-Shot Personalized Federated Learning Framework. | ICML | 2025 | Link |
| Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models. | ICML | 2025 | Link |
| GHOST: Generalizable One-Shot Federated Graph Learning with Proxy-Based Topology Knowledge Retention. | ICML | 2025 | Link |
| Gap-Dependent Bounds for Federated Q-Learning. | ICML | 2025 | Link |
| Generalization in Federated Learning: A Conditional Mutual Information Framework. | ICML | 2025 | Link |
| Harnessing Heterogeneous Statistical Strength for Personalized Federated Learning via Hierarchical Bayesian Inference. | ICML | 2025 | Link |
| Hybrid Batch Normalisation: Resolving the Dilemma of Batch Normalisation in Federated Learning. | ICML | 2025 | Link |
| Improved Coresets for Vertical Federated Learning: Regularized Linear and Logistic Regressions. | ICML | 2025 | Link |
| Improving Generalization in Federated Learning with Highly Heterogeneous Data via Momentum-Based Stochastic Controlled Weight Averaging. | ICML | 2025 | Link |
| Interaction-Aware Gaussian Weighting for Clustered Federated Learning. | ICML | 2025 | Link |
| Janus: Dual-Server Multi-Round Secure Aggregation with Verifiability for Federated Learning. | ICML | 2025 | Link |
| LBI-FL: Low-Bit Integerized Federated Learning with Temporally Dynamic Bit-Width Allocation. | ICML | 2025 | Link |
| Less is More: Federated Graph Learning with Alleviating Topology Heterogeneity from A Causal Perspective. | ICML | 2025 | Link |
| Local Pan-privacy for Federated Analytics. | ICML | 2025 | Link |
| Momentum-Driven Adaptivity: Towards Tuning-Free Asynchronous Federated Learning. | ICML | 2025 | Link |
| Multi-Session Budget Optimization for Forward Auction-based Federated Learning. | ICML | 2025 | Link |
| NTK-DFL: Enhancing Decentralized Federated Learning in Heterogeneous Settings via Neural Tangent Kernel. | ICML | 2025 | Link |
| One Arrow, Two Hawks: Sharpness-aware Minimization for Federated Learning via Global Model Trajectory. | ICML | 2025 | Link |
| One-Shot Heterogeneous Federated Learning with Local Model-Guided Diffusion Models. | ICML | 2025 | Link |
| Privacy-Preserving Federated Convex Optimization: Balancing Partial-Participation and Efficiency via Noise Cancellation. | ICML | 2025 | Link |
| Private Federated Learning using Preference-Optimized Synthetic Data. | ICML | 2025 | Link |
| Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead. | ICML | 2025 | Link |
| Rethinking the Temperature for Federated Heterogeneous Distillation. | ICML | 2025 | Link |
| S2FGL: Spatial Spectral Federated Graph Learning. | ICML | 2025 | Link |
| SPMC: Self-Purifying Federated Backdoor Defense via Margin Contribution. | ICML | 2025 | Link |
| SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding. | ICML | 2025 | Link |
| Splitting with Importance-aware Updating for Heterogeneous Federated Learning with Large Language Models. | ICML | 2025 | Link |
| The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning. | ICML | 2025 | Link |
| Theoretically Unmasking Inference Attacks Against LDP-Protected Clients in Federated Vision Models. | ICML | 2025 | Link |
| Towards Trustworthy Federated Learning with Untrusted Participants. | ICML | 2025 | Link |
| Uncertainty-Based Extensible Codebook for Discrete Federated Learning in Heterogeneous Data Silos. | ICML | 2025 | Link |
| Understanding the Statistical Accuracy-Communication Trade-off in Personalized Federated Learning with Minimax Guarantees. | ICML | 2025 | Link |
| Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning. | ICML | 2025 | Link |
| You Get What You Give: Reciprocally Fair Federated Learning. | ICML | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| A Doubly Recursive Stochastic Compositional Gradient Descent Method for Federated Multi-Level Compositional Optimization. | ICML | 2024 | Link |
| A Federated Stochastic Multi-level Compositional Minimax Algorithm for Deep AUC Maximization. | ICML | 2024 | Link |
| A New Theoretical Perspective on Data Heterogeneity in Federated Optimization. | ICML | 2024 | Link |
| Accelerating Federated Learning with Quick Distributed Mean Estimation. | ICML | 2024 | Link |
| Accelerating Heterogeneous Federated Learning with Closed-form Classifiers. | ICML | 2024 | Link |
| Achieving Lossless Gradient Sparsification via Mapping to Alternative Space in Federated Learning. | ICML | 2024 | Link |
| Adaptive Group Personalization for Federated Mutual Transfer Learning. | ICML | 2024 | Link |
| AegisFL: Efficient and Flexible Privacy-Preserving Byzantine-Robust Cross-silo Federated Learning. | ICML | 2024 | Link |
| Balancing Similarity and Complementarity for Federated Learning. | ICML | 2024 | Link |
| Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients. | ICML | 2024 | Link |
| Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning. | ICML | 2024 | Link |
| Byzantine Resilient and Fast Federated Few-Shot Learning. | ICML | 2024 | Link |
| Byzantine-Robust Federated Learning: Impact of Client Subsampling and Local Updates. | ICML | 2024 | Link |
| COALA: A Practical and Vision-Centric Federated Learning Platform. | ICML | 2024 | Link |
| Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization. | ICML | 2024 | Link |
| Certifiably Byzantine-Robust Federated Conformal Prediction. | ICML | 2024 | Link |
| Clustered Federated Learning via Gradient-based Partitioning. | ICML | 2024 | Link |
| Decomposable Submodular Maximization in Federated Setting. | ICML | 2024 | Link |
| Effective Federated Graph Matching. | ICML | 2024 | Link |
| Enhancing Storage and Computational Efficiency in Federated Multimodal Learning for Large-Scale Models. | ICML | 2024 | Link |
| FADAS: Towards Federated Adaptive Asynchronous Optimization. | ICML | 2024 | Link |
| Fair Federated Learning via the Proportional Veto Core. | ICML | 2024 | Link |
| FedBAT: Communication-Efficient Federated Learning via Learnable Binarization. | ICML | 2024 | Link |
| FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models. | ICML | 2024 | Link |
| FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler. | ICML | 2024 | Link |
| FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical Guarantees. | ICML | 2024 | Link |
| FedMBridge: Bridgeable Multimodal Federated Learning. | ICML | 2024 | Link |
| FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering. | ICML | 2024 | Link |
| FedREDefense: Defending against Model Poisoning Attacks for Federated Learning using Model Update Reconstruction Error. | ICML | 2024 | Link |
| FedSC: Provable Federated Self-supervised Learning with Spectral Contrastive Objective over Non-i.i.d. Data. | ICML | 2024 | Link |
| Federated Combinatorial Multi-Agent Multi-Armed Bandits. | ICML | 2024 | Link |
| Federated Continual Learning via Prompt-based Dual Knowledge Transfer. | ICML | 2024 | Link |
| Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes. | ICML | 2024 | Link |
| Federated Neuro-Symbolic Learning. | ICML | 2024 | Link |
| Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices. | ICML | 2024 | Link |
| Federated Optimization with Doubly Regularized Drift Correction. | ICML | 2024 | Link |
| Federated Representation Learning in the Under-Parameterized Regime. | ICML | 2024 | Link |
| Federated Self-Explaining GNNs with Anti-shortcut Augmentations. | ICML | 2024 | Link |
| Harmonizing Generalization and Personalization in Federated Prompt Learning. | ICML | 2024 | Link |
| Improved Modelling of Federated Datasets using Mixtures-of-Dirichlet-Multinomials. | ICML | 2024 | Link |
| Lessons from Generalization Error Analysis of Federated Learning: You May Communicate Less Often! | ICML | 2024 | Link |
| Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization. | ICML | 2024 | Link |
| MH-pFLID: Model Heterogeneous personalized Federated Learning via Injection and Distillation for Medical Data Analysis. | ICML | 2024 | Link |
| Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments. | ICML | 2024 | Link |
| Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning. | ICML | 2024 | Link |
| Overcoming Data and Model heterogeneities in Decentralized Federated Learning via Synthetic Anchors. | ICML | 2024 | Link |
| PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs. | ICML | 2024 | Link |
| Private Heterogeneous Federated Learning Without a Trusted Server Revisited: Error-Optimal and Communication-Efficient Algorithms for Convex Losses. | ICML | 2024 | Link |
| Private and Federated Stochastic Convex Optimization: Efficient Strategies for Centralized Systems. | ICML | 2024 | Link |
| Provable Benefits of Local Steps in Heterogeneous Federated Learning for Neural Networks: A Feature Learning Perspective. | ICML | 2024 | Link |
| Pursuing Overall Welfare in Federated Learning through Sequential Decision Making. | ICML | 2024 | Link |
| Ranking-based Client Imitation Selection for Efficient Federated Learning. | ICML | 2024 | Link |
| Recovering Labels from Local Updates in Federated Learning. | ICML | 2024 | Link |
| Recurrent Early Exits for Federated Learning with Heterogeneous Clients. | ICML | 2024 | Link |
| Rethinking the Flat Minima Searching in Federated Learning. | ICML | 2024 | Link |
| SILVER: Single-loop variance reduction and application to federated learning. | ICML | 2024 | Link |
| Self-Driven Entropy Aggregation for Byzantine-Robust Heterogeneous Federated Learning. | ICML | 2024 | Link |
| SignSGD with Federated Defense: Harnessing Adversarial Attacks through Gradient Sign Decoding. | ICML | 2024 | Link |
| Towards the Theory of Unsupervised Federated Learning: Non-asymptotic Analysis of Federated EM Algorithms. | ICML | 2024 | Link |
| Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation. | ICML | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| Achieving Linear Speedup in Non-IID Federated Bilevel Learning. | ICML | 2023 | Link |
| Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression: Fast Convergence and Partial Participation. | ICML | 2023 | Link |
| Anchor Sampling for Federated Learning with Partial Client Participation. | ICML | 2023 | Link |
| Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning. | ICML | 2023 | Link |
| Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning Using Independent Component Analysis. | ICML | 2023 | Link |
| Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation. | ICML | 2023 | Link |
| Conformal Prediction for Federated Uncertainty Quantification Under Label Shift. | ICML | 2023 | Link |
| DoCoFL: Downlink Compression for Cross-Device Federated Learning. | ICML | 2023 | Link |
| Doubly Adversarial Federated Bandits. | ICML | 2023 | Link |
| Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape. | ICML | 2023 | Link |
| Efficient Personalized Federated Learning via Sparse Model-Adaptation. | ICML | 2023 | Link |
| Fast Federated Machine Unlearning with Nonlinear Functional Theory. | ICML | 2023 | Link |
| FeDXL: Provable Federated Learning for Deep X-Risk Optimization. | ICML | 2023 | Link |
| Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction. | ICML | 2023 | Link |
| FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction. | ICML | 2023 | Link |
| FedCR: Personalized Federated Learning Based on Across-Client Common Representation with Conditional Mutual Information Regularization. | ICML | 2023 | Link |
| FedDisco: Federated Learning with Discrepancy-Aware Collaboration. | ICML | 2023 | Link |
| FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization. | ICML | 2023 | Link |
| FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models. | ICML | 2023 | Link |
| Federated Adversarial Learning: A Framework with Convergence Analysis. | ICML | 2023 | Link |
| Federated Conformal Predictors for Distributed Uncertainty Quantification. | ICML | 2023 | Link |
| Federated Heavy Hitter Recovery under Linear Sketching. | ICML | 2023 | Link |
| Federated Linear Contextual Bandits with User-level Differential Privacy. | ICML | 2023 | Link |
| Federated Online and Bandit Convex Optimization. | ICML | 2023 | Link |
| Flash: Concept Drift Adaptation in Federated Learning. | ICML | 2023 | Link |
| From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning. | ICML | 2023 | Link |
| GuardHFL: Privacy Guardian for Heterogeneous Federated Learning. | ICML | 2023 | Link |
| Improving the Model Consistency of Decentralized Federated Learning. | ICML | 2023 | Link |
| LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning. | ICML | 2023 | Link |
| LeadFL: Client Self-Defense against Model Poisoning in Federated Learning. | ICML | 2023 | Link |
| No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation. | ICML | 2023 | Link |
| On the Convergence of Federated Averaging with Cyclic Client Participation. | ICML | 2023 | Link |
| One-Shot Federated Conformal Prediction. | ICML | 2023 | Link |
| Optimizing the Collaboration Structure in Cross-Silo Federated Learning. | ICML | 2023 | Link |
| Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relationships. | ICML | 2023 | Link |
| Personalized Federated Learning under Mixture of Distributions. | ICML | 2023 | Link |
| Personalized Federated Learning with Inferred Collaboration Graphs. | ICML | 2023 | Link |
| Personalized Subgraph Federated Learning. | ICML | 2023 | Link |
| Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design. | ICML | 2023 | Link |
| Private Federated Learning with Autotuned Compression. | ICML | 2023 | Link |
| Revisiting Weighted Aggregation in Federated Learning with Neural Networks. | ICML | 2023 | Link |
| SRATTA: Sample Re-ATTribution Attack of Secure Aggregation in Federated Learning. | ICML | 2023 | Link |
| Secure Federated Correlation Test and Entropy Estimation. | ICML | 2023 | Link |
| Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning. | ICML | 2023 | Link |
| TabLeak: Tabular Data Leakage in Federated Learning. | ICML | 2023 | Link |
| The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond. | ICML | 2023 | Link |
| Towards Unbiased Training in Federated Open-world Semi-supervised Learning. | ICML | 2023 | Link |
| Towards Understanding Ensemble Distillation in Federated Learning. | ICML | 2023 | Link |
| Vertical Federated Graph Neural Network for Recommender System. | ICML | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| Accelerated Federated Learning with Decoupled Adaptive Optimization. | ICML | 2022 | Link |
| Anarchic Federated Learning. | ICML | 2022 | Link |
| Architecture Agnostic Federated Learning for Neural Networks. | ICML | 2022 | Link |
| Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization. | ICML | 2022 | Link |
| Communication-Efficient Adaptive Federated Learning. | ICML | 2022 | Link |
| DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning. | ICML | 2022 | Link |
| Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning. | ICML | 2022 | Link |
| DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training. | ICML | 2022 | Link |
| Disentangled Federated Learning for Tackling Attributes Skew via Invariant Aggregation and Diversity Transferring. | ICML | 2022 | Link |
| EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Learning. | ICML | 2022 | Link |
| Fast Composite Optimization and Statistical Recovery in Federated Learning. | ICML | 2022 | Link |
| FedNL: Making Newton-Type Methods Applicable to Federated Learning. | ICML | 2022 | Link |
| FedNest: Federated Bilevel, Minimax, and Compositional Optimization. | ICML | 2022 | Link |
| FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning. | ICML | 2022 | Link |
| FedScale: Benchmarking Model and System Performance of Federated Learning at Scale. | ICML | 2022 | Link |
| Federated Learning with Label Distribution Skew via Logits Calibration. | ICML | 2022 | Link |
| Federated Learning with Partial Model Personalization. | ICML | 2022 | Link |
| Federated Learning with Positive and Unlabeled Data. | ICML | 2022 | Link |
| Federated Minimax Optimization: Improved Convergence Analyses and Algorithms. | ICML | 2022 | Link |
| Federated Reinforcement Learning: Linear Speedup Under Markovian Sampling. | ICML | 2022 | Link |
| Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification. | ICML | 2022 | Link |
| Generalized Federated Learning via Sharpness Aware Minimization. | ICML | 2022 | Link |
| Multi-Level Branched Regularization for Federated Learning. | ICML | 2022 | Link |
| Neural Tangent Kernel Empowered Federated Learning. | ICML | 2022 | Link |
| Neurotoxin: Durable Backdoors in Federated Learning. | ICML | 2022 | Link |
| Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering. | ICML | 2022 | Link |
| Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning. | ICML | 2022 | Link |
| Personalized Federated Learning through Local Memorization. | ICML | 2022 | Link |
| Personalized Federated Learning via Variational Bayesian Inference. | ICML | 2022 | Link |
| ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training. | ICML | 2022 | Link |
| Proximal and Federated Random Reshuffling. | ICML | 2022 | Link |
| QSFL: A Two-Level Uplink Communication Optimization Framework for Federated Learning. | ICML | 2022 | Link |
| Resilient and Communication Efficient Learning for Heterogeneous Federated Systems. | ICML | 2022 | Link |
| The Fundamental Price of Secure Aggregation in Differentially Private Federated Learning. | ICML | 2022 | Link |
| The Poisson Binomial Mechanism for Unbiased Federated Learning with Secure Aggregation. | ICML | 2022 | Link |
| Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy. | ICML | 2022 | Link |
| Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning. | ICML | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| Bias-Variance Reduced Local SGD for Less Heterogeneous Federated Learning. | ICML | 2021 | Link |
| CRFL: Certifiably Robust Federated Learning against Backdoor Attacks. | ICML | 2021 | Link |
| Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning. | ICML | 2021 | Link |
| Data-Free Knowledge Distillation for Heterogeneous Federated Learning. | ICML | 2021 | Link |
| Debiasing Model Updates for Improving Personalized Federated Training. | ICML | 2021 | Link |
| Ditto: Fair and Robust Federated Learning Through Personalization. | ICML | 2021 | Link |
| Exploiting Shared Representations for Personalized Federated Learning. | ICML | 2021 | Link |
| FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Analysis. | ICML | 2021 | Link |
| Federated Composite Optimization. | ICML | 2021 | Link |
| Federated Continual Learning with Weighted Inter-client Transfer. | ICML | 2021 | Link |
| Federated Deep AUC Maximization for Hetergeneous Data with a Constant Communication Complexity. | ICML | 2021 | Link |
| Federated Learning of User Verification Models Without Sharing Embeddings. | ICML | 2021 | Link |
| Federated Learning under Arbitrary Communication Patterns. | ICML | 2021 | Link |
| Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix. | ICML | 2021 | Link |
| Heterogeneity for the Win: One-Shot Federated Clustering. | ICML | 2021 | Link |
| One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning. | ICML | 2021 | Link |
| Personalized Federated Learning using Hypernetworks. | ICML | 2021 | Link |
| The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation. | ICML | 2021 | Link |
2020
| Title | Venue | Year | Link |
|---|---|---|---|
| Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization. | ICML | 2020 | Link |
| FedBoost: A Communication-Efficient Algorithm for Federated Learning. | ICML | 2020 | Link |
| Federated Learning with Only Positive Labels. | ICML | 2020 | Link |
| FetchSGD: Communication-Efficient Federated Learning with Sketching. | ICML | 2020 | Link |
| From Local SGD to Local Fixed-Point Methods for Federated Learning. | ICML | 2020 | Link |
| SCAFFOLD: Stochastic Controlled Averaging for Federated Learning. | ICML | 2020 | Link |
2019
| Title | Venue | Year | Link |
|---|---|---|---|
| Agnostic Federated Learning. | ICML | 2019 | Link |
| Analyzing Federated Learning through an Adversarial Lens. | ICML | 2019 | Link |
| Bayesian Nonparametric Federated Learning of Neural Networks. | ICML | 2019 | Link |
ICLR
Expand ICLR
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization. | ICLR | 2025 | Link |
| Adaptive Gradient Clipping for Robust Federated Learning. | ICLR | 2025 | Link |
| Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis. | ICLR | 2025 | Link |
| Bad-PFL: Exploiting Backdoor Attacks against Personalized Federated Learning. | ICLR | 2025 | Link |
| Can Textual Gradient Work in Federated Learning? | ICLR | 2025 | Link |
| Closed-Form Merging of Parameter-Efficient Modules for Federated Continual Learning. | ICLR | 2025 | Link |
| Connecting Federated ADMM to Bayes. | ICLR | 2025 | Link |
| Debiasing Federated Learning with Correlated Client Participation. | ICLR | 2025 | Link |
| Decentralized Sporadic Federated Learning: A Unified Algorithmic Framework with Convergence Guarantees. | ICLR | 2025 | Link |
| Decoupled Subgraph Federated Learning. | ICLR | 2025 | Link |
| Differentially Private Federated Learning with Time-Adaptive Privacy Spending. | ICLR | 2025 | Link |
| Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models. | ICLR | 2025 | Link |
| Energy-based Backdoor Defense Against Federated Graph Learning. | ICLR | 2025 | Link |
| Enhancing Clustered Federated Learning: Integration of Strategies and Improved Methodologies. | ICLR | 2025 | Link |
| Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning. | ICLR | 2025 | Link |
| Event-Driven Online Vertical Federated Learning. | ICLR | 2025 | Link |
| FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking. | ICLR | 2025 | Link |
| FedTMOS: Efficient One-Shot Federated Learning with Tsetlin Machine. | ICLR | 2025 | Link |
| Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting. | ICLR | 2025 | Link |
| Federated Continual Learning Goes Online: Uncertainty-Aware Memory Management for Vision Tasks and Beyond. | ICLR | 2025 | Link |
| Federated Domain Generalization with Data-free On-server Matching Gradient. | ICLR | 2025 | Link |
| Federated Few-Shot Class-Incremental Learning. | ICLR | 2025 | Link |
| Federated Granger Causality Learning For Interdependent Clients With State Space Representation. | ICLR | 2025 | Link |
| Federated Q-Learning with Reference-Advantage Decomposition: Almost Optimal Regret and Logarithmic Communication Cost. | ICLR | 2025 | Link |
| Federated Residual Low-Rank Adaptation of Large Language Models. | ICLR | 2025 | Link |
| Hot-pluggable Federated Learning: Bridging General and Personalized FL via Dynamic Selection. | ICLR | 2025 | Link |
| Methods with Local Steps and Random Reshuffling for Generally Smooth Non-Convex Federated Optimization. | ICLR | 2025 | Link |
| Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models. | ICLR | 2025 | Link |
| On the Byzantine-Resilience of Distillation-Based Federated Learning. | ICLR | 2025 | Link |
| On the Importance of Language-driven Representation Learning for Heterogeneous Federated Learning. | ICLR | 2025 | Link |
| On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations. | ICLR | 2025 | Link |
| PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models. | ICLR | 2025 | Link |
| Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models. | ICLR | 2025 | Link |
| Problem-Parameter-Free Federated Learning. | ICLR | 2025 | Link |
| Selective Aggregation for Low-Rank Adaptation in Federated Learning. | ICLR | 2025 | Link |
| SparsyFed: Sparse Adaptive Federated Learning. | ICLR | 2025 | Link |
| Subgraph Federated Learning for Local Generalization. | ICLR | 2025 | Link |
| Towards Federated RLHF with Aggregated Client Preference for LLMs. | ICLR | 2025 | Link |
| Understanding the Stability-based Generalization of Personalized Federated Learning. | ICLR | 2025 | Link |
| Unlocking the Potential of Model Calibration in Federated Learning. | ICLR | 2025 | Link |
| Vertical Federated Learning with Missing Features During Training and Inference. | ICLR | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging. | ICLR | 2024 | Link |
| A Mutual Information Perspective on Federated Contrastive Learning. | ICLR | 2024 | Link |
| Accurate Forgetting for Heterogeneous Federated Continual Learning. | ICLR | 2024 | Link |
| Adaptive Federated Learning with Auto-Tuned Clients. | ICLR | 2024 | Link |
| An improved analysis of per-sample and per-update clipping in federated learning. | ICLR | 2024 | Link |
| Backdoor Federated Learning by Poisoning Backdoor-Critical Layers. | ICLR | 2024 | Link |
| Bayesian Coreset Optimization for Personalized Federated Learning. | ICLR | 2024 | Link |
| Benchmarking Algorithms for Federated Domain Generalization. | ICLR | 2024 | Link |
| Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages. | ICLR | 2024 | Link |
| Communication-Efficient Federated Non-Linear Bandit Optimization. | ICLR | 2024 | Link |
| Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit. | ICLR | 2024 | Link |
| Demystifying Local & Global Fairness Trade-offs in Federated Learning Using Partial Information Decomposition. | ICLR | 2024 | Link |
| Effective and Efficient Federated Tree Learning on Hybrid Data. | ICLR | 2024 | Link |
| Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting. | ICLR | 2024 | Link |
| Fair and Efficient Contribution Valuation for Vertical Federated Learning. | ICLR | 2024 | Link |
| Fake It Till Make It: Federated Learning with Consensus-Oriented Generation. | ICLR | 2024 | Link |
| FedCDA: Federated Learning with Cross-rounds Divergence-aware Aggregation. | ICLR | 2024 | Link |
| FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices Using a Computing Power-Aware Scheduler. | ICLR | 2024 | Link |
| FedDA: Faster Adaptive Gradient Methods for Federated Constrained Optimization. | ICLR | 2024 | Link |
| FedHyper: A Universal and Robust Learning Rate Scheduler for Federated Learning with Hypergradient Descent. | ICLR | 2024 | Link |
| FedImpro: Measuring and Improving Client Update in Federated Learning. | ICLR | 2024 | Link |
| FedInverse: Evaluating Privacy Leakage in Federated Learning. | ICLR | 2024 | Link |
| FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data. | ICLR | 2024 | Link |
| FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity. | ICLR | 2024 | Link |
| FedTrans: Client-Transparent Utility Estimation for Robust Federated Learning. | ICLR | 2024 | Link |
| FedWon: Triumphing Multi-domain Federated Learning Without Normalization. | ICLR | 2024 | Link |
| Federated Causal Discovery from Heterogeneous Data. | ICLR | 2024 | Link |
| Federated Orthogonal Training: Mitigating Global Catastrophic Forgetting in Continual Federated Learning. | ICLR | 2024 | Link |
| Federated Q-Learning: Linear Regret Speedup with Low Communication Cost. | ICLR | 2024 | Link |
| Federated Recommendation with Additive Personalization. | ICLR | 2024 | Link |
| Federated Text-driven Prompt Generation for Vision-Language Models. | ICLR | 2024 | Link |
| Federated Wasserstein Distance. | ICLR | 2024 | Link |
| Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning. | ICLR | 2024 | Link |
| Heterogeneous Personalized Federated Learning by Local-Global Updates Mixing via Convergence Rate. | ICLR | 2024 | Link |
| Hiding in Plain Sight: Disguising Data Stealing Attacks in Federated Learning. | ICLR | 2024 | Link |
| Improving LoRA in Privacy-preserving Federated Learning. | ICLR | 2024 | Link |
| Incentive-Aware Federated Learning with Training-Time Model Rewards. | ICLR | 2024 | Link |
| Incentivized Truthful Communication for Federated Bandits. | ICLR | 2024 | Link |
| Internal Cross-layer Gradients for Extending Homogeneity to Heterogeneity in Federated Learning. | ICLR | 2024 | Link |
| Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients. | ICLR | 2024 | Link |
| Momentum Benefits Non-iid Federated Learning Simply and Provably. | ICLR | 2024 | Link |
| On Differentially Private Federated Linear Contextual Bandits. | ICLR | 2024 | Link |
| One-shot Empirical Privacy Estimation for Federated Learning. | ICLR | 2024 | Link |
| PeFLL: Personalized Federated Learning by Learning to Learn. | ICLR | 2024 | Link |
| Principled Federated Domain Adaptation: Gradient Projection and Auto-Weighting. | ICLR | 2024 | Link |
| Robust Training of Federated Models with Extremely Label Deficiency. | ICLR | 2024 | Link |
| Stochastic Controlled Averaging for Federated Learning with Communication Compression. | ICLR | 2024 | Link |
| Tackling the Data Heterogeneity in Asynchronous Federated Learning with Cached Update Calibration. | ICLR | 2024 | Link |
| Understanding Convergence and Generalization in Federated Learning through Feature Learning Theory. | ICLR | 2024 | Link |
| VFLAIR: A Research Library and Benchmark for Vertical Federated Learning. | ICLR | 2024 | Link |
| VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks. | ICLR | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| A Statistical Framework for Personalized Federated Learning and Estimation: Theory, Algorithms, and Privacy. | ICLR | 2023 | Link |
| Better Generative Replay for Continual Federated Learning. | ICLR | 2023 | Link |
| Bias Propagation in Federated Learning. | ICLR | 2023 | Link |
| CANIFE: Crafting Canaries for Empirical Privacy Measurement in Federated Learning. | ICLR | 2023 | Link |
| Combating Exacerbated Heterogeneity for Robust Models in Federated Learning. | ICLR | 2023 | Link |
| Data-Free One-Shot Federated Learning Under Very High Statistical Heterogeneity. | ICLR | 2023 | Link |
| Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models. | ICLR | 2023 | Link |
| DepthFL : Depthwise Federated Learning for Heterogeneous Clients. | ICLR | 2023 | Link |
| EPISODE: Episodic Gradient Clipping with Periodic Resampled Corrections for Federated Learning with Heterogeneous Data. | ICLR | 2023 | Link |
| Effective passive membership inference attacks in federated learning against overparameterized models. | ICLR | 2023 | Link |
| Efficient Federated Domain Translation. | ICLR | 2023 | Link |
| FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning. | ICLR | 2023 | Link |
| Faster federated optimization under second-order similarity. | ICLR | 2023 | Link |
| FedDAR: Federated Domain-Aware Representation Learning. | ICLR | 2023 | Link |
| FedExP: Speeding Up Federated Averaging via Extrapolation. | ICLR | 2023 | Link |
| FedFA: Federated Feature Augmentation. | ICLR | 2023 | Link |
| Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach. | ICLR | 2023 | Link |
| Federated Learning from Small Datasets. | ICLR | 2023 | Link |
| Federated Nearest Neighbor Machine Translation. | ICLR | 2023 | Link |
| Federated Neural Bandits. | ICLR | 2023 | Link |
| FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification. | ICLR | 2023 | Link |
| Generalization Bounds for Federated Learning: Fast Rates, Unparticipating Clients and Unbounded Losses. | ICLR | 2023 | Link |
| Instance-wise Batch Label Restoration via Gradients in Federated Learning. | ICLR | 2023 | Link |
| Machine Unlearning of Federated Clusters. | ICLR | 2023 | Link |
| Meta Knowledge Condensation for Federated Learning. | ICLR | 2023 | Link |
| Multimodal Federated Learning via Contrastive Representation Ensemble. | ICLR | 2023 | Link |
| On the Importance and Applicability of Pre-Training for Federated Learning. | ICLR | 2023 | Link |
| Panning for Gold in Federated Learning: Targeted Text Extraction under Arbitrarily Large-Scale Aggregation. | ICLR | 2023 | Link |
| PerFedMask: Personalized Federated Learning with Optimized Masking Vectors. | ICLR | 2023 | Link |
| Personalized Federated Learning with Feature Alignment and Classifier Collaboration. | ICLR | 2023 | Link |
| Private Federated Learning Without a Trusted Server: Optimal Algorithms for Convex Losses. | ICLR | 2023 | Link |
| SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication. | ICLR | 2023 | Link |
| Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning. | ICLR | 2023 | Link |
| Single-shot General Hyper-parameter Optimization for Federated Learning. | ICLR | 2023 | Link |
| Sparse Random Networks for Communication-Efficient Federated Learning. | ICLR | 2023 | Link |
| Test-Time Robust Personalization for Federated Learning. | ICLR | 2023 | Link |
| The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation. | ICLR | 2023 | Link |
| Towards Addressing Label Skews in One-Shot Federated Learning. | ICLR | 2023 | Link |
| Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning. | ICLR | 2023 | Link |
| Turning the Curse of Heterogeneity in Federated Learning into a Blessing for Out-of-Distribution Detection. | ICLR | 2023 | Link |
| Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning. | ICLR | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| Acceleration of Federated Learning with Alleviated Forgetting in Local Training. | ICLR | 2022 | Link |
| An Agnostic Approach to Federated Learning with Class Imbalance. | ICLR | 2022 | Link |
| Diurnal or Nocturnal? Federated Learning of Multi-branch Networks from Periodically Shifting Distributions. | ICLR | 2022 | Link |
| Divergence-aware Federated Self-Supervised Learning. | ICLR | 2022 | Link |
| Diverse Client Selection for Federated Learning via Submodular Maximization. | ICLR | 2022 | Link |
| Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization. | ICLR | 2022 | Link |
| FedBABU: Toward Enhanced Representation for Federated Image Classification. | ICLR | 2022 | Link |
| FedChain: Chained Algorithms for Near-optimal Communication Cost in Federated Learning. | ICLR | 2022 | Link |
| FedPara: Low-rank Hadamard Product for Communication-Efficient Federated Learning. | ICLR | 2022 | Link |
| Federated Learning from Only Unlabeled Data with Class-conditional-sharing Clients. | ICLR | 2022 | Link |
| Hybrid Local SGD for Federated Learning with Heterogeneous Communications. | ICLR | 2022 | Link |
| Improving Federated Learning Face Recognition via Privacy-Agnostic Clusters. | ICLR | 2022 | Link |
| On Bridging Generic and Personalized Federated Learning for Image Classification. | ICLR | 2022 | Link |
| Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank? | ICLR | 2022 | Link |
| Robbing the Fed: Directly Obtaining Private Data in Federated Learning with Modified Models. | ICLR | 2022 | Link |
| Towards Model Agnostic Federated Learning Using Knowledge Distillation. | ICLR | 2022 | Link |
| What Do We Mean by Generalization in Federated Learning? | ICLR | 2022 | Link |
| ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity. | ICLR | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning. | ICLR | 2021 | Link |
| Adaptive Federated Optimization. | ICLR | 2021 | Link |
| FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning. | ICLR | 2021 | Link |
| FedBN: Federated Learning on Non-IID Features via Local Batch Normalization. | ICLR | 2021 | Link |
| FedMix: Approximation of Mixup under Mean Augmented Federated Learning. | ICLR | 2021 | Link |
| Federated Learning Based on Dynamic Regularization. | ICLR | 2021 | Link |
| Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms. | ICLR | 2021 | Link |
| Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning. | ICLR | 2021 | Link |
| HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients. | ICLR | 2021 | Link |
| Personalized Federated Learning with First Order Model Optimization. | ICLR | 2021 | Link |
2020
| Title | Venue | Year | Link |
|---|---|---|---|
| DBA: Distributed Backdoor Attacks against Federated Learning. | ICLR | 2020 | Link |
| Fair Resource Allocation in Federated Learning. | ICLR | 2020 | Link |
| Federated Adversarial Domain Adaptation. | ICLR | 2020 | Link |
| Federated Learning with Matched Averaging. | ICLR | 2020 | Link |
NDSS
Expand NDSS
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| Privacy-Preserving Data Deduplication for Enhancing Federated Learning of Language Models. | NDSS | 2025 | Link |
| RAIFLE: Reconstruction Attacks on Interaction-based Federated Learning with Adversarial Data Manipulation. | NDSS | 2025 | Link |
| Scale-MIA: A Scalable Model Inversion Attack against Secure Federated Learning via Latent Space Reconstruction. | NDSS | 2025 | Link |
| URVFL: Undetectable Data Reconstruction Attack on Vertical Federated Learning. | NDSS | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| Automatic Adversarial Adaption for Stealthy Poisoning Attacks in Federated Learning. | NDSS | 2024 | Link |
| CrowdGuard: Federated Backdoor Detection in Federated Learning. | NDSS | 2024 | Link |
| FP-Fed: Privacy-Preserving Federated Detection of Browser Fingerprinting. | NDSS | 2024 | Link |
| FreqFed: A Frequency Analysis-Based Approach for Mitigating Poisoning Attacks in Federated Learning. | NDSS | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| PPA: Preference Profiling Attack Against Federated Learning. | NDSS | 2023 | Link |
| Securing Federated Sensitive Topic Classification against Poisoning Attacks. | NDSS | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| DeepSight: Mitigating Backdoor Attacks in Federated Learning Through Deep Model Inspection. | NDSS | 2022 | Link |
| FedCRI: Federated Mobile Cyber-Risk Intelligence. | NDSS | 2022 | Link |
| Interpretable Federated Transformer Log Learning for Cloud Threat Forensics. | NDSS | 2022 | Link |
| Local and Central Differential Privacy for Robustness and Privacy in Federated Learning. | NDSS | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping. | NDSS | 2021 | Link |
| Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses for Federated Learning. | NDSS | 2021 | Link |
| POSEIDON: Privacy-Preserving Federated Neural Network Learning. | NDSS | 2021 | Link |
2020
| Title | Venue | Year | Link |
|---|---|---|---|
| Strong Authentication without Temper-Resistant Hardware and Application to Federated Identities. | NDSS | 2020 | Link |
2014
| Title | Venue | Year | Link |
|---|---|---|---|
| Hardening Persona - Improving Federated Web Login. | NDSS | 2014 | Link |
CVPR
Expand CVPR
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| A Simple Data Augmentation for Feature Distribution Skewed Federated Learning. | CVPR | 2025 | Link |
| AFL: A Single-Round Analytic Approach for Federated Learning with Pre-trained Models. | CVPR | 2025 | Link |
| Beyond Local Sharpness: Communication-Efficient Global Sharpness-aware Minimization for Federated Learning. | CVPR | 2025 | Link |
| Detecting Backdoor Attacks in Federated Learning via Direction Alignment Inspection. | CVPR | 2025 | Link |
| F3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics. | CVPR | 2025 | Link |
| FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors. | CVPR | 2025 | Link |
| FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models. | CVPR | 2025 | Link |
| FedCALM: Conflict-aware Layer-wise Mitigation for Selective Aggregation in Deeper Personalized Federated Learning. | CVPR | 2025 | Link |
| FedCS: Coreset Selection for Federated Learning. | CVPR | 2025 | Link |
| FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning. | CVPR | 2025 | Link |
| FedSPA: Generalizable Federated Graph Learning under Homophily Heterogeneity. | CVPR | 2025 | Link |
| Federated Learning with Domain Shift Eraser. | CVPR | 2025 | Link |
| Fortifying Federated Learning Towards Trustworthiness via Auditable Data Valuation and Verifiable Client Contribution. | CVPR | 2025 | Link |
| Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning. | CVPR | 2025 | Link |
| Handling Spatial-Temporal Data Heterogeneity for Federated Continual Learning via Tail Anchor. | CVPR | 2025 | Link |
| HistoFS: Non-IID Histopathologic Whole Slide Image Classification via Federated Style Transfer with RoI-Preserving. | CVPR | 2025 | Link |
| Infighting in the Dark: Multi-Label Backdoor Attack in Federated Learning. | CVPR | 2025 | Link |
| Mind the Gap: Confidence Discrepancy Can Guide Federated Semi-Supervised Learning Across Pseudo-Mismatch. | CVPR | 2025 | Link |
| Model Poisoning Attacks to Federated Learning via Multi-Round Consistency. | CVPR | 2025 | Link |
| NoT: Federated Unlearning via Weight Negation. | CVPR | 2025 | Link |
| Patient-Level Anatomy Meets Scanning-Level Physics: Personalized Federated Low-Dose CT Denoising Empowered by Large Language Model. | CVPR | 2025 | Link |
| Population Normalization for Federated Learning. | CVPR | 2025 | Link |
| Subspace Constraint and Contribution Estimation for Heterogeneous Federated Learning. | CVPR | 2025 | Link |
| Unlearning through Knowledge Overwriting: Reversible Federated Unlearning via Selective Sparse Adapter. | CVPR | 2025 | Link |
| dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis. | CVPR | 2025 | Link |
| pFedMxF: Personalized Federated Class-Incremental Learning with Mixture of Frequency Aggregation. | CVPR | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| Adaptive Hyper-graph Aggregation for Modality-Agnostic Federated Learning. | CVPR | 2024 | Link |
| An Aggregation-Free Federated Learning for Tackling Data Heterogeneity. | CVPR | 2024 | Link |
| An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning. | CVPR | 2024 | Link |
| Byzantine-robust Decentralized Federated Learning via Dual-domain Clustering and Trust Bootstrapping. | CVPR | 2024 | Link |
| Communication-Efficient Federated Learning with Accelerated Client Gradient. | CVPR | 2024 | Link |
| Data Valuation and Detections in Federated Learning. | CVPR | 2024 | Link |
| Decentralized Directed Collaboration for Personalized Federated Learning. | CVPR | 2024 | Link |
| Device-Wise Federated Network Pruning. | CVPR | 2024 | Link |
| DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning. | CVPR | 2024 | Link |
| Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization. | CVPR | 2024 | Link |
| FLHetBench: Benchmarking Device and State Heterogeneity in Federated Learning. | CVPR | 2024 | Link |
| Fair Federated Learning Under Domain Skew with Local Consistency and Domain Diversity. | CVPR | 2024 | Link |
| FedAS: Bridging Inconsistency in Personalized Federated Learning. | CVPR | 2024 | Link |
| FedMef: Towards Memory-Efficient Federated Dynamic Pruning. | CVPR | 2024 | Link |
| FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning. | CVPR | 2024 | Link |
| FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning. | CVPR | 2024 | Link |
| FedUV: Uniformity and Variance for Heterogeneous Federated Learning. | CVPR | 2024 | Link |
| Federated Generalized Category Discovery. | CVPR | 2024 | Link |
| Federated Online Adaptation for Deep Stereo. | CVPR | 2024 | Link |
| Fedhca2: Towards Hetero-Client Federated Multi-Task Learning. | CVPR | 2024 | Link |
| Global and Local Prompts Cooperation via Optimal Transport for Federated Learning. | CVPR | 2024 | Link |
| Leak and Learn: An Attacker's Cookbook to Train Using Leaked Data from Federated Learning. | CVPR | 2024 | Link |
| Mixed-Precision Quantization for Federated Learning on Resource-Constrained Heterogeneous Devices. | CVPR | 2024 | Link |
| Perada: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees. | CVPR | 2024 | Link |
| Relaxed Contrastive Learning for Federated Learning. | CVPR | 2024 | Link |
| Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data. | CVPR | 2024 | Link |
| Revamping Federated Learning Security from a Defender's Perspective: A Unified Defense with Homomorphic Encrypted Data Space. | CVPR | 2024 | Link |
| Text-Enhanced Data-Free Approach for Federated Class-Incremental Learning. | CVPR | 2024 | Link |
| Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts. | CVPR | 2024 | Link |
| Towards Efficient Replay in Federated Incremental Learning. | CVPR | 2024 | Link |
| Traceable Federated Continual Learning. | CVPR | 2024 | Link |
| Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning. | CVPR | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| Adaptive Channel Sparsity for Federated Learning under System Heterogeneity. | CVPR | 2023 | Link |
| Bias-Eliminating Augmentation Learning for Debiased Federated Learning. | CVPR | 2023 | Link |
| Class Balanced Adaptive Pseudo Labeling for Federated Semi-Supervised Learning. | CVPR | 2023 | Link |
| Confidence-Aware Personalized Federated Learning via Variational Expectation Maximization. | CVPR | 2023 | Link |
| DaFKD: Domain-aware Federated Knowledge Distillation. | CVPR | 2023 | Link |
| Elastic Aggregation for Federated Optimization. | CVPR | 2023 | Link |
| Fair Federated Medical Image Segmentation via Client Contribution Estimation. | CVPR | 2023 | Link |
| FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning. | CVPR | 2023 | Link |
| FedSeg: Class-Heterogeneous Federated Learning for Semantic Segmentation. | CVPR | 2023 | Link |
| Federated Domain Generalization with Generalization Adjustment. | CVPR | 2023 | Link |
| Federated Incremental Semantic Segmentation. | CVPR | 2023 | Link |
| Federated Learning with Data-Agnostic Distribution Fusion. | CVPR | 2023 | Link |
| GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic Forgetting. | CVPR | 2023 | Link |
| How to Prevent the Poor Performance Clients for Personalized Federated Learning? | CVPR | 2023 | Link |
| Learning Federated Visual Prompt in Null Space for MRI Reconstruction. | CVPR | 2023 | Link |
| Make Landscape Flatter in Differentially Private Federated Learning. | CVPR | 2023 | Link |
| On the Effectiveness of Partial Variance Reduction in Federated Learning with Heterogeneous Data. | CVPR | 2023 | Link |
| Re-Thinking Federated Active Learning Based on Inter-Class Diversity. | CVPR | 2023 | Link |
| Reliable and Interpretable Personalized Federated Learning. | CVPR | 2023 | Link |
| Rethinking Federated Learning with Domain Shift: A Prototype View. | CVPR | 2023 | Link |
| STDLens: Model Hijacking-Resilient Federated Learning for Object Detection. | CVPR | 2023 | Link |
| ScaleFL: Resource-Adaptive Federated Learning with Heterogeneous Clients. | CVPR | 2023 | Link |
| The Resource Problem of Using Linear Layer Leakage Attack in Federated Learning. | CVPR | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| ATPFL: Automatic Trajectory Prediction Model Design under Federated Learning Framework. | CVPR | 2022 | Link |
| Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage. | CVPR | 2022 | Link |
| CD2-pFed: Cyclic Distillation-guided Channel Decoupling for Model Personalization in Federated Learning. | CVPR | 2022 | Link |
| Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation. | CVPR | 2022 | Link |
| Differentially Private Federated Learning with Local Regularization and Sparsification. | CVPR | 2022 | Link |
| FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning. | CVPR | 2022 | Link |
| FedCorr: Multi-Stage Federated Learning for Label Noise Correction. | CVPR | 2022 | Link |
| FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction. | CVPR | 2022 | Link |
| Federated Class-Incremental Learning. | CVPR | 2022 | Link |
| Federated Learning with Position-Aware Neurons. | CVPR | 2022 | Link |
| Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning. | CVPR | 2022 | Link |
| Layer-wised Model Aggregation for Personalized Federated Learning. | CVPR | 2022 | Link |
| Learn from Others and Be Yourself in Heterogeneous Federated Learning. | CVPR | 2022 | Link |
| Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning. | CVPR | 2022 | Link |
| RSCFed: Random Sampling Consensus Federated Semi-supervised Learning. | CVPR | 2022 | Link |
| ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning. | CVPR | 2022 | Link |
| Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning. | CVPR | 2022 | Link |
| Robust Federated Learning with Noisy and Heterogeneous Clients. | CVPR | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space. | CVPR | 2021 | Link |
| Model-Contrastive Federated Learning. | CVPR | 2021 | Link |
| Multi-Institutional Collaborations for Improving Deep Learning-Based Magnetic Resonance Image Reconstruction Using Federated Learning. | CVPR | 2021 | Link |
| Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective. | CVPR | 2021 | Link |
ICCV
Expand ICCV
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| Bold but Cautious: Unlocking the Potential of Personalized Federated Learning through Cautiously Aggressive Collaboration. | ICCV | 2023 | Link |
| Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples. | ICCV | 2023 | Link |
| Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence. | ICCV | 2023 | Link |
| Efficient Model Personalization in Federated Learning via Client-Specific Prompt Generation. | ICCV | 2023 | Link |
| Enhancing Privacy Preservation in Federated Learning via Learning Rate Perturbation. | ICCV | 2023 | Link |
| Experience Replay as an Effective Strategy for Optimizing Decentralized Federated Learning. | ICCV | 2023 | Link |
| FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation. | ICCV | 2023 | Link |
| FSAR: Federated Skeleton-based Action Recognition with Adaptive Topology Structure and Knowledge Distillation. | ICCV | 2023 | Link |
| FedLID: Self-Supervised Federated Learning for Leveraging Limited Image Data. | ICCV | 2023 | Link |
| FedPD: Federated Open Set Recognition with Parameter Disentanglement. | ICCV | 2023 | Link |
| FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning. | ICCV | 2023 | Link |
| FedRCIL: Federated Knowledge Distillation for Representation based Contrastive Incremental Learning. | ICCV | 2023 | Link |
| Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat. | ICCV | 2023 | Link |
| GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning. | ICCV | 2023 | Link |
| Generative Gradient Inversion via Over-Parameterized Networks in Federated Learning. | ICCV | 2023 | Link |
| Global Balanced Experts for Federated Long-Tailed Learning. | ICCV | 2023 | Link |
| Knowledge-Aware Federated Active Learning with Non-IID Data. | ICCV | 2023 | Link |
| L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning. | ICCV | 2023 | Link |
| Local or Global: Selective Knowledge Assimilation for Federated Learning with Limited Labels. | ICCV | 2023 | Link |
| MAS: Towards Resource-Efficient Federated Multiple-Task Learning. | ICCV | 2023 | Link |
| Multi-metrics adaptively identifies backdoors in Federated learning. | ICCV | 2023 | Link |
| No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier. | ICCV | 2023 | Link |
| PGFed: Personalize Each Client's Global Objective for Federated Learning. | ICCV | 2023 | Link |
| Personalized Semantics Excitation for Federated Image Classification. | ICCV | 2023 | Link |
| ProtoFL: Unsupervised Federated Learning via Prototypical Distillation. | ICCV | 2023 | Link |
| Reducing Training Time in Cross-Silo Federated Learning using Multigraph Topology. | ICCV | 2023 | Link |
| Robust Heterogeneous Federated Learning under Data Corruption. | ICCV | 2023 | Link |
| TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation. | ICCV | 2023 | Link |
| Towards Attack-tolerant Federated Learning via Critical Parameter Analysis. | ICCV | 2023 | Link |
| Towards Instance-adaptive Inference for Federated Learning. | ICCV | 2023 | Link |
| When Do Curricula Work in Federated Learning? | ICCV | 2023 | Link |
| Window-based Model Averaging Improves Generalization in Heterogeneous Federated Learning. | ICCV | 2023 | Link |
| Workie-Talkie: Accelerating Federated Learning by Overlapping Computing and Communications via Contrastive Regularization. | ICCV | 2023 | Link |
| zPROBE: Zero Peek Robustness Checks for Federated Learning. | ICCV | 2023 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| Ensemble Attention Distillation for Privacy-Preserving Federated Learning. | ICCV | 2021 | Link |
| Federated Learning for Non-IID Data via Unified Feature Learning and Optimization Objective Alignment. | ICCV | 2021 | Link |
ECCV
Expand ECCV
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| BAFFLE: A Baseline of Backpropagation-Free Federated Learning. | ECCV | 2024 | Link |
| Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning. | ECCV | 2024 | Link |
| Feature Diversification and Adaptation for Federated Domain Generalization. | ECCV | 2024 | Link |
| FedHARM: Harmonizing Model Architectural Diversity in Federated Learning. | ECCV | 2024 | Link |
| FedHide: Federated Learning by Hiding in the Neighbors. | ECCV | 2024 | Link |
| FedRA: A Random Allocation Strategy for Federated Tuning to Unleash the Power of Heterogeneous Clients. | ECCV | 2024 | Link |
| FedTSA: A Cluster-Based Two-Stage Aggregation Method for Model-Heterogeneous Federated Learning. | ECCV | 2024 | Link |
| FedVAD: Enhancing Federated Video Anomaly Detection with GPT-Driven Semantic Distillation. | ECCV | 2024 | Link |
| Federated Learning with Local Openset Noisy Labels. | ECCV | 2024 | Link |
| Fisher Calibration for Backdoor-Robust Heterogeneous Federated Learning. | ECCV | 2024 | Link |
| Local and Global Flatness for Federated Domain Generalization. | ECCV | 2024 | Link |
| Overcome Modal Bias in Multi-modal Federated Learning via Balanced Modality Selection. | ECCV | 2024 | Link |
| PFEDEDIT: Personalized Federated Learning via Automated Model Editing. | ECCV | 2024 | Link |
| PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning. | ECCV | 2024 | Link |
| Personalized Federated Domain-Incremental Learning Based on Adaptive Knowledge Matching. | ECCV | 2024 | Link |
| Pick-a-Back: Selective Device-to-Device Knowledge Transfer in Federated Continual Learning. | ECCV | 2024 | Link |
| SKYMASK: Attack-Agnostic Robust Federated Learning with Fine-Grained Learnable Masks. | ECCV | 2024 | Link |
| SuperFedNAS: Cost-Efficient Federated Neural Architecture Search for On-device Inference. | ECCV | 2024 | Link |
| Towards Multi-modal Transformers in Federated Learning. | ECCV | 2024 | Link |
| Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents. | ECCV | 2024 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| AdaBest: Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation. | ECCV | 2022 | Link |
| Addressing Heterogeneity in Federated Learning via Distributional Transformation. | ECCV | 2022 | Link |
| Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation. | ECCV | 2022 | Link |
| FedLTN: Federated Learning for Sparse and Personalized Lottery Ticket Networks. | ECCV | 2022 | Link |
| FedVLN: Privacy-Preserving Federated Vision-and-Language Navigation. | ECCV | 2022 | Link |
| FedX: Unsupervised Federated Learning with Cross Knowledge Distillation. | ECCV | 2022 | Link |
| Federated Self-supervised Learning for Video Understanding. | ECCV | 2022 | Link |
| Improving Generalization in Federated Learning by Seeking Flat Minima. | ECCV | 2022 | Link |
| Personalizing Federated Medical Image Segmentation via Local Calibration. | ECCV | 2022 | Link |
| SphereFed: Hyperspherical Federated Learning. | ECCV | 2022 | Link |
2020
| Title | Venue | Year | Link |
|---|---|---|---|
| Federated Visual Classification with Real-World Data Distribution. | ECCV | 2020 | Link |
COLT
Expand COLT
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| The Aggregation-Heterogeneity Trade-off in Federated Learning. | COLT | 2023 | Link |
UAI
Expand UAI
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor Information. | UAI | 2025 | Link |
| Cutting Through Privacy: A Hyperplane-Based Data Reconstruction Attack in Federated Learning. | UAI | 2025 | Link |
| ELF: Federated Langevin Algorithms with Primal, Dual and Bidirectional Compression. | UAI | 2025 | Link |
| FALCON: Adaptive Cross-Domain APT Attack Investigation with Federated Causal Learning. | UAI | 2025 | Link |
| FDR-SVM: A Federated Distributionally Robust Support Vector Machine via a Mixture of Wasserstein Balls Ambiguity Set. | UAI | 2025 | Link |
| FeDCM: Federated Learning of Deep Causal Generative Models. | UAI | 2025 | Link |
| FedSPD: A Soft-clustering Approach for Personalized Decentralized Federated Learning. | UAI | 2025 | Link |
| Federated Rényi Fair Inference in Federated Heterogeneous System. | UAI | 2025 | Link |
| Near-Optimal Regret Bounds for Federated Multi-armed Bandits with Fully Distributed Communication. | UAI | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| FedAST: Federated Asynchronous Simultaneous Training. | UAI | 2024 | Link |
| On Convergence of Federated Averaging Langevin Dynamics. | UAI | 2024 | Link |
| On the Convergence of Hierarchical Federated Learning with Partial Worker Participation. | UAI | 2024 | Link |
| Pure Exploration in Asynchronous Federated Bandits. | UAI | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| FLASH: Automating federated learning using CASH. | UAI | 2023 | Link |
| Fast Heterogeneous Federated Learning with Hybrid Client Selection. | UAI | 2023 | Link |
| Fed-LAMB: Layer-wise and Dimension-wise Locally Adaptive Federated Learning. | UAI | 2023 | Link |
| Federated learning of models pre-trained on different features with consensus graphs. | UAI | 2023 | Link |
| Learning To Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learning. | UAI | 2023 | Link |
| Personalized federated domain adaptation for item-to-item recommendation. | UAI | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| Bayesian federated estimation of causal effects from observational data. | UAI | 2022 | Link |
| Faster non-convex federated learning via global and local momentum. | UAI | 2022 | Link |
| Federated online clustering of bandits. | UAI | 2022 | Link |
| Fedvarp: Tackling the variance due to partial client participation in federated learning. | UAI | 2022 | Link |
| Privacy-aware compression for federated data analysis. | UAI | 2022 | Link |
| SASH: Efficient secure aggregation based on SHPRG for federated learning. | UAI | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| Constrained differentially private federated learning for low-bandwidth devices. | UAI | 2021 | Link |
| Federated stochastic gradient Langevin dynamics. | UAI | 2021 | Link |
IJCAI
Expand IJCAI
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| A Multi-Granularity Clustering Approach for Federated Backdoor Defense with the Adam Optimizer. | IJCAI | 2025 | Link |
| ADPFedGNN: Adaptive Decoupling Personalized Federated Graph Neural Network. | IJCAI | 2025 | Link |
| AdaptPFL: Unlocking Cross-Device Palmprint Recognition via Adaptive Personalized Federated Learning with Feature Decoupling. | IJCAI | 2025 | Link |
| An Empirical Study of Federated Prompt Learning for Vision Language Model. | IJCAI | 2025 | Link |
| Approximated Behavioral Metric-based State Projection for Federated Reinforcement Learning. | IJCAI | 2025 | Link |
| Backdoor Attack on Vertical Federated Graph Neural Network Learning. | IJCAI | 2025 | Link |
| CSAHFL: Clustered Semi-Asynchronous Hierarchical Federated Learning for Dual-layer Non-IID in Heterogeneous Edge Computing Networks. | IJCAI | 2025 | Link |
| DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning Under Two-sided Incomplete Information. | IJCAI | 2025 | Link |
| Data Poisoning Attack Defense and Evolutionary Domain Adaptation for Federated Medical Image Segmentation. | IJCAI | 2025 | Link |
| Distilling A Universal Expert from Clustered Federated Learning. | IJCAI | 2025 | Link |
| Enhancing the Performance of Global Model by Improving the Adaptability of Local Models in Federated Learning. | IJCAI | 2025 | Link |
| Exploiting Label Skewness for Spiking Neural Networks in Federated Learning. | IJCAI | 2025 | Link |
| FAST: A Lightweight Mechanism Unleashing Arbitrary Client Participation in Federated Learning. | IJCAI | 2025 | Link |
| FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data. | IJCAI | 2025 | Link |
| FedBG: Proactively Mitigating Bias in Cross-Domain Graph Federated Learning Using Background Data. | IJCAI | 2025 | Link |
| FedCCH: Automatic Personalized Graph Federated Learning for Inter-Client and Intra-Client Heterogeneity. | IJCAI | 2025 | Link |
| FedCM: Client Clustering and Migration in Federated Learning via Gradient Path Similarity and Update Direction Deviation. | IJCAI | 2025 | Link |
| FedCPD: Personalized Federated Learning with Prototype-Enhanced Representation and Memory Distillation. | IJCAI | 2025 | Link |
| FedDLAD: A Federated Learning Dual-Layer Anomaly Detection Framework for Enhancing Resilience Against Backdoor Attacks. | IJCAI | 2025 | Link |
| FedHAN: A Cache-Based Semi-Asynchronous Federated Learning Framework Defending Against Poisoning Attacks in Heterogeneous Clients. | IJCAI | 2025 | Link |
| FedSaaS: Class-Consistency Federated Semantic Segmentation via Global Prototype Supervision and Local Adversarial Harmonization. | IJCAI | 2025 | Link |
| Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization. | IJCAI | 2025 | Link |
| Federated Domain Generalization with Decision Insight Matrix. | IJCAI | 2025 | Link |
| Federated Learning at the Forefront of Fairness: A Multifaceted Perspective. | IJCAI | 2025 | Link |
| Federated Low-Rank Adaptation for Foundation Models: A Survey. | IJCAI | 2025 | Link |
| Federated Multi-view Graph Clustering with Incomplete Attribute Imputation. | IJCAI | 2025 | Link |
| Federated Stochastic Bilevel Optimization with Fully First-Order Gradients. | IJCAI | 2025 | Link |
| Finite-Time Analysis of Heterogeneous Federated Temporal Difference Learning. | IJCAI | 2025 | Link |
| FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition. | IJCAI | 2025 | Link |
| Generic Adversarial Attack Framework Against Vertical Federated Learning. | IJCAI | 2025 | Link |
| Heterogeneous Federated Learning with Scalable Server Mixture-of-Experts. | IJCAI | 2025 | Link |
| Hypernetwork Aggregation for Decentralized Personalized Federated Learning. | IJCAI | 2025 | Link |
| Inconsistency-Based Federated Active Learning. | IJCAI | 2025 | Link |
| Learning Heterogeneous Performance-Fairness Trade-offs in Federated Learning. | IJCAI | 2025 | Link |
| MMGIA: Gradient Inversion Attack Against Multimodal Federated Learning via Intermodal Correlation. | IJCAI | 2025 | Link |
| One-shot Federated Learning Methods: A Practical Guide. | IJCAI | 2025 | Link |
| Optimizing Personalized Federated Learning Through Adaptive Layer-Wise Learning. | IJCAI | 2025 | Link |
| Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach. | IJCAI | 2025 | Link |
| Pixel-wise Divide and Conquer for Federated Vessel Segmentation. | IJCAI | 2025 | Link |
| Rethinking Federated Graph Learning: A Data Condensation Perspective. | IJCAI | 2025 | Link |
| Universal Backdoor Defense via Label Consistency in Vertical Federated Learning. | IJCAI | 2025 | Link |
| Where Does This Data Come From? Enhanced Source Inference Attacks in Federated Learning. | IJCAI | 2025 | Link |
| Zero-shot Federated Unlearning via Transforming from Data-Dependent to Personalized Model-Centric. | IJCAI | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| A Bias-Free Revenue-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning. | IJCAI | 2024 | Link |
| A Survey on Efficient Federated Learning Methods for Foundation Model Training. | IJCAI | 2024 | Link |
| A Systematic Survey on Federated Semi-supervised Learning. | IJCAI | 2024 | Link |
| BADFSS: Backdoor Attacks on Federated Self-Supervised Learning. | IJCAI | 2024 | Link |
| Breaking Barriers of System Heterogeneity: Straggler-Tolerant Multimodal Federated Learning via Knowledge Distillation. | IJCAI | 2024 | Link |
| DarkFed: A Data-Free Backdoor Attack in Federated Learning. | IJCAI | 2024 | Link |
| Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks. | IJCAI | 2024 | Link |
| Dual Calibration-based Personalised Federated Learning. | IJCAI | 2024 | Link |
| EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learning. | IJCAI | 2024 | Link |
| Efficient Federated Multi-View Clustering with Integrated Matrix Factorization and K-Means. | IJCAI | 2024 | Link |
| Enhancing Dual-Target Cross-Domain Recommendation with Federated Privacy-Preserving Learning. | IJCAI | 2024 | Link |
| Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning. | IJCAI | 2024 | Link |
| FBLG: A Local Graph Based Approach for Handling Dual Skewed Non-IID Data in Federated Learning. | IJCAI | 2024 | Link |
| Feature Norm Regularized Federated Learning: Utilizing Data Disparities for Model Performance Gains. | IJCAI | 2024 | Link |
| FedConPE: Efficient Federated Conversational Bandits with Heterogeneous Clients. | IJCAI | 2024 | Link |
| FedES: Federated Early-Stopping for Hindering Memorizing Heterogeneous Label Noise. | IJCAI | 2024 | Link |
| FedFa: A Fully Asynchronous Training Paradigm for Federated Learning. | IJCAI | 2024 | Link |
| FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization. | IJCAI | 2024 | Link |
| FedPFT: Federated Proxy Fine-Tuning of Foundation Models. | IJCAI | 2024 | Link |
| FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning. | IJCAI | 2024 | Link |
| FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning. | IJCAI | 2024 | Link |
| Federated Adaptation for Foundation Model-based Recommendations. | IJCAI | 2024 | Link |
| Federated Multi-View Clustering via Tensor Factorization. | IJCAI | 2024 | Link |
| Federated Prompt Learning for Weather Foundation Models on Devices. | IJCAI | 2024 | Link |
| From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client Sharpness Matching. | IJCAI | 2024 | Link |
| Intelligent Agents for Auction-based Federated Learning: A Survey. | IJCAI | 2024 | Link |
| Knowledge Distillation in Federated Learning: A Practical Guide. | IJCAI | 2024 | Link |
| LEAP: Optimization Hierarchical Federated Learning on Non-IID Data with Coalition Formation Game. | IJCAI | 2024 | Link |
| LG-FGAD: An Effective Federated Graph Anomaly Detection Framework. | IJCAI | 2024 | Link |
| Label Leakage in Vertical Federated Learning: A Survey. | IJCAI | 2024 | Link |
| Personalized Federated Learning for Cross-City Traffic Prediction. | IJCAI | 2024 | Link |
| Practical Hybrid Gradient Compression for Federated Learning Systems. | IJCAI | 2024 | Link |
| Redefining Contributions: Shapley-Driven Federated Learning. | IJCAI | 2024 | Link |
| Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection. | IJCAI | 2024 | Link |
| Scalable Federated Unlearning via Isolated and Coded Sharding. | IJCAI | 2024 | Link |
| Stakeholder-oriented Decision Support for Auction-based Federated Learning. | IJCAI | 2024 | Link |
| The Rise of Federated Intelligence: From Federated Foundation Models Toward Collective Intelligence. | IJCAI | 2024 | Link |
| Unlearning during Learning: An Efficient Federated Machine Unlearning Method. | IJCAI | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| A Survey of Federated Evaluation in Federated Learning. | IJCAI | 2023 | Link |
| BARA: Efficient Incentive Mechanism with Online Reward Budget Allocation in Cross-Silo Federated Learning. | IJCAI | 2023 | Link |
| Competitive-Cooperative Multi-Agent Reinforcement Learning for Auction-based Federated Learning. | IJCAI | 2023 | Link |
| Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning. | IJCAI | 2023 | Link |
| Dual Personalization on Federated Recommendation. | IJCAI | 2023 | Link |
| FedBFPT: An Efficient Federated Learning Framework for Bert Further Pre-training. | IJCAI | 2023 | Link |
| FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment. | IJCAI | 2023 | Link |
| FedET: A Communication-Efficient Federated Class-Incremental Learning Framework Based on Enhanced Transformer. | IJCAI | 2023 | Link |
| FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks. | IJCAI | 2023 | Link |
| FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity. | IJCAI | 2023 | Link |
| FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning. | IJCAI | 2023 | Link |
| FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation. | IJCAI | 2023 | Link |
| FedSampling: A Better Sampling Strategy for Federated Learning. | IJCAI | 2023 | Link |
| Federated Graph Semantic and Structural Learning. | IJCAI | 2023 | Link |
| Federated Probabilistic Preference Distribution Modelling with Compactness Co-Clustering for Privacy-Preserving Multi-Domain Recommendation. | IJCAI | 2023 | Link |
| Globally Consistent Federated Graph Autoencoder for Non-IID Graphs. | IJCAI | 2023 | Link |
| HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning. | IJCAI | 2023 | Link |
| Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data. | IJCAI | 2023 | Link |
| SAMBA: A Generic Framework for Secure Federated Multi-Armed Bandits (Extended Abstract). | IJCAI | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning. | IJCAI | 2022 | Link |
| Continual Federated Learning Based on Knowledge Distillation. | IJCAI | 2022 | Link |
| FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning. | IJCAI | 2022 | Link |
| FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server. | IJCAI | 2022 | Link |
| Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features. | IJCAI | 2022 | Link |
| Federated Multi-Task Attention for Cross-Individual Human Activity Recognition. | IJCAI | 2022 | Link |
| Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning. | IJCAI | 2022 | Link |
| Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting. | IJCAI | 2022 | Link |
| Personalized Federated Learning With a Graph. | IJCAI | 2022 | Link |
| Personalized Federated Learning with Contextualized Generalization. | IJCAI | 2022 | Link |
| Poisoning Deep Learning Based Recommender Model in Federated Learning Scenarios. | IJCAI | 2022 | Link |
| Private Semi-Supervised Federated Learning. | IJCAI | 2022 | Link |
| Shielding Federated Learning: Robust Aggregation with Adaptive Client Selection. | IJCAI | 2022 | Link |
| Towards Verifiable Federated Learning. | IJCAI | 2022 | Link |
| Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification. | IJCAI | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning. | IJCAI | 2021 | Link |
| Communication-efficient and Scalable Decentralized Federated Edge Learning. | IJCAI | 2021 | Link |
| FedSpeech: Federated Text-to-Speech with Continual Learning. | IJCAI | 2021 | Link |
| Federated Learning with Fair Averaging. | IJCAI | 2021 | Link |
| Federated Learning with Sparsification-Amplified Privacy and Adaptive Optimization. | IJCAI | 2021 | Link |
| Federated Model Distillation with Noise-Free Differential Privacy. | IJCAI | 2021 | Link |
| H-FL: A Hierarchical Communication-Efficient and Privacy-Protected Architecture for Federated Learning. | IJCAI | 2021 | Link |
| LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy. | IJCAI | 2021 | Link |
| Practical One-Shot Federated Learning for Cross-Silo Setting. | IJCAI | 2021 | Link |
2020
| Title | Venue | Year | Link |
|---|---|---|---|
| A Multi-player Game for Studying Federated Learning Incentive Schemes. | IJCAI | 2020 | Link |
| Federated Meta-Learning for Fraudulent Credit Card Detection. | IJCAI | 2020 | Link |
2019
| Title | Venue | Year | Link |
|---|---|---|---|
| Multi-Agent Visualization for Explaining Federated Learning. | IJCAI | 2019 | Link |
AAAI
Expand AAAI
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| A High-Efficiency Federated Learning Method Using Complementary Pruning for D2D Communication (Student Abstract). | AAAI | 2025 | Link |
| A New Federated Learning Framework Against Gradient Inversion Attacks. | AAAI | 2025 | Link |
| Asynchronous Federated Clustering with Unknown Number of Clusters. | AAAI | 2025 | Link |
| Attribute Inference Attacks for Federated Regression Tasks. | AAAI | 2025 | Link |
| Beyond Federated Prototype Learning: Learnable Semantic Anchors with Hyperspherical Contrast for Domain-Skewed Data. | AAAI | 2025 | Link |
| Breaking Data Silos in Parkinson's Disease Diagnosis: An Adaptive Federated Learning Approach for Privacy-Preserving Facial Expression Analysis. | AAAI | 2025 | Link |
| Capture Global Feature Statistics for One-Shot Federated Learning. | AAAI | 2025 | Link |
| Cluster Based Heterogeneous Federated Foundation Model Adaptation and Fine-Tuning. | AAAI | 2025 | Link |
| ConFREE: Conflict-free Client Update Aggregation for Personalized Federated Learning. | AAAI | 2025 | Link |
| Convergence Analysis of Federated Learning Methods Using Backward Error Analysis. | AAAI | 2025 | Link |
| Creating Coherence in Federated Non-Negative Matrix Factorization. | AAAI | 2025 | Link |
| Cross-Silo Feature Space Alignment for Federated Learning on Clients with Imbalanced Data. | AAAI | 2025 | Link |
| DCHM: Dynamic Collaboration of Heterogeneous Models Through Isomerism Learning in a Blockchain-Powered Federated Learning Framework. | AAAI | 2025 | Link |
| Data-Free Black-Box Federated Learning via Zeroth-Order Gradient Estimation. | AAAI | 2025 | Link |
| Decentralized Federated Learning with Model Caching on Mobile Agents. | AAAI | 2025 | Link |
| Defending Against Sophisticated Poisoning Attacks with RL-based Aggregation in Federated Learning. | AAAI | 2025 | Link |
| Dual-calibrated Co-training Framework for Personalized Federated Semi-Supervised Medical Image Segmentation. | AAAI | 2025 | Link |
| DualGFL: Federated Learning with a Dual-Level Coalition-Auction Game. | AAAI | 2025 | Link |
| EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated Learning. | AAAI | 2025 | Link |
| EFSkip: A New Error Feedback with Linear Speedup for Compressed Federated Learning with Arbitrary Data Heterogeneity. | AAAI | 2025 | Link |
| Efficient Federated Learning via Clients-to-Server Knowledge Distillation (Student Abstract). | AAAI | 2025 | Link |
| Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy. | AAAI | 2025 | Link |
| Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning. | AAAI | 2025 | Link |
| Exploring Vacant Classes in Label-Skewed Federated Learning. | AAAI | 2025 | Link |
| FCOM: A Federated Collaborative Online Monitoring Framework via Representation Learning. | AAAI | 2025 | Link |
| Fair Federated Survival Analysis. | AAAI | 2025 | Link |
| Fed-DFA: Federated Distillation for Heterogeneous Model Fusion Through the Adversarial Lens. | AAAI | 2025 | Link |
| FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning. | AAAI | 2025 | Link |
| FedCFA: Alleviating Simpson's Paradox in Model Aggregation with Counterfactual Federated Learning. | AAAI | 2025 | Link |
| FedCross: Intertemporal Federated Learning Under Evolutionary Games. | AAAI | 2025 | Link |
| FedFSL-CFRD: Personalized Federated Few-Shot Learning with Collaborative Feature Representation Disentanglement. | AAAI | 2025 | Link |
| FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding Decorrelation. | AAAI | 2025 | Link |
| FedMSGL: A Self-Expressive Hypergraph Based Federated Multi-View Learning. | AAAI | 2025 | Link |
| FedPIA - Permuting and Integrating Adapters Leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning. | AAAI | 2025 | Link |
| FedPop: Federated Population-based Hyperparameter Tuning. | AAAI | 2025 | Link |
| FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning. | AAAI | 2025 | Link |
| FedSPU: Personalized Federated Learning for Resource-Constrained Devices with Stochastic Parameter Update. | AAAI | 2025 | Link |
| FedSum: Data-Efficient Federated Learning Under Data Scarcity Scenario for Text Summarization. | AAAI | 2025 | Link |
| FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis. | AAAI | 2025 | Link |
| Federated Assemblies. | AAAI | 2025 | Link |
| Federated Binary Matrix Factorization Using Proximal Optimization. | AAAI | 2025 | Link |
| Federated Causally Invariant Feature Learning. | AAAI | 2025 | Link |
| Federated Foundation Models on Heterogeneous Time Series. | AAAI | 2025 | Link |
| Federated Graph Anomaly Detection Through Contrastive Learning with Global Negative Pairs. | AAAI | 2025 | Link |
| Federated Graph Condensation with Information Bottleneck Principles. | AAAI | 2025 | Link |
| Federated Graph-Level Clustering Network. | AAAI | 2025 | Link |
| Federated Learning with Heterogeneous LLMs: Integrating Small Student Client Models with a Large Hungry Model. | AAAI | 2025 | Link |
| Federated Learning with Sample-level Client Drift Mitigation. | AAAI | 2025 | Link |
| Federated Recommendation with Explicitly Encoding Item Bias. | AAAI | 2025 | Link |
| Federated Unlearning with Gradient Descent and Conflict Mitigation. | AAAI | 2025 | Link |
| Federated Unsupervised Domain Generalization Using Global and Local Alignment of Gradients. | AAAI | 2025 | Link |
| Federated Weakly Supervised Video Anomaly Detection with Multimodal Prompt. | AAAI | 2025 | Link |
| Federated t-SNE and UMAP for Distributed Data Visualization. | AAAI | 2025 | Link |
| First-Order Federated Bilevel Learning. | AAAI | 2025 | Link |
| Flexible Sharpness-Aware Personalized Federated Learning. | AAAI | 2025 | Link |
| GAS: Generative Activation-Aided Asynchronous Split Federated Learning. | AAAI | 2025 | Link |
| Generating Synthetic Data for Unsupervised Federated Learning of Cross-Modal Retrieval. | AAAI | 2025 | Link |
| Graph Consistency and Diversity Measurement for Federated Multi-View Clustering. | AAAI | 2025 | Link |
| HaCore: Efficient Coreset Construction with Locality Sensitive Hashing for Vertical Federated Learning. | AAAI | 2025 | Link |
| How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? | AAAI | 2025 | Link |
| Improving Federated Domain Generalization Through Dynamical Weights Calculated from Data Influences on Global Model Update. | AAAI | 2025 | Link |
| In-depth Analysis of Low-rank Matrix Factorisation in a Federated Setting. | AAAI | 2025 | Link |
| Incongruent Multimodal Federated Learning for Medical Vision and Language-based Multi-label Disease Detection. | AAAI | 2025 | Link |
| Label-Free Backdoor Attacks in Vertical Federated Learning. | AAAI | 2025 | Link |
| Large Language Models Enhanced Personalized Graph Neural Architecture Search in Federated Learning. | AAAI | 2025 | Link |
| Learn How to Query from Unlabeled Data Streams in Federated Learning. | AAAI | 2025 | Link |
| Learning Together Securely: Prototype-Based Federated Multi-Modal Hashing for Safe and Efficient Multi-Modal Retrieval. | AAAI | 2025 | Link |
| LiD-FL: Towards List-Decodable Federated Learning. | AAAI | 2025 | Link |
| Little Is Enough: Boosting Privacy by Sharing Only Hard Labels in Federated Semi-Supervised Learning. | AAAI | 2025 | Link |
| LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning. | AAAI | 2025 | Link |
| Look Back for More: Harnessing Historical Sequential Updates for Personalized Federated Adapter Tuning. | AAAI | 2025 | Link |
| MFL-Owner: Ownership Protection for Multi-modal Federated Learning via Orthogonal Transform Watermark. | AAAI | 2025 | Link |
| Modeling Inter-Intra Heterogeneity for Graph Federated Learning. | AAAI | 2025 | Link |
| MultiSFL: Towards Accurate Split Federated Learning via Multi-Model Aggregation and Knowledge Replay. | AAAI | 2025 | Link |
| Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach. | AAAI | 2025 | Link |
| Multimodal Fusion Using Multi-View Domains for Data Heterogeneity in Federated Learning. | AAAI | 2025 | Link |
| Overcoming Heterogeneous Data in Federated Medical Vision-Language Pre-training: A Triple-Embedding Model Selector Approach. | AAAI | 2025 | Link |
| PA3Fed: Period-Aware Adaptive Aggregation for Improved Federated Learning. | AAAI | 2025 | Link |
| PFedCS: A Personalized Federated Learning Method for Enhancing Collaboration among Similar Classifiers. | AAAI | 2025 | Link |
| Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach. | AAAI | 2025 | Link |
| Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach. | AAAI | 2025 | Link |
| Personalized Label Inference Attack in Federated Transfer Learning via Contrastive Meta Learning. | AAAI | 2025 | Link |
| Pilot: Building the Federated Multimodal Instruction Tuning Framework. | AAAI | 2025 | Link |
| Progressive Distribution Matching for Federated Semi-Supervised Learning. | AAAI | 2025 | Link |
| Reinforcement Active Client Selection for Federated Heterogeneous Graph Learning. | AAAI | 2025 | Link |
| Reputation-aware Revenue Allocation for Auction-based Federated Learning. | AAAI | 2025 | Link |
| Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective. | AAAI | 2025 | Link |
| Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks. | AAAI | 2025 | Link |
| SADBA: Self-Adaptive Distributed Backdoor Attack Against Federated Learning. | AAAI | 2025 | Link |
| Scalable Federated One-Step Multi-View Clustering with Tensorized Regularization. | AAAI | 2025 | Link |
| SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning. | AAAI | 2025 | Link |
| Single-Loop Federated Actor-Critic across Heterogeneous Environments. | AAAI | 2025 | Link |
| TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learning. | AAAI | 2025 | Link |
| TTA-FedDG: Leveraging Test-Time Adaptation to Address Federated Domain Generalization. | AAAI | 2025 | Link |
| Tackling Intertwined Data and Device Heterogeneities in Federated Learning with Unlimited Staleness. | AAAI | 2025 | Link |
| Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning. | AAAI | 2025 | Link |
| WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling. | AAAI | 2025 | Link |
| pFedES: Generalized Proxy Feature Extractor Sharing for Model Heterogeneous Personalized Federated Learning. | AAAI | 2025 | Link |
| pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning. | AAAI | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| A Huber Loss Minimization Approach to Byzantine Robust Federated Learning. | AAAI | 2024 | Link |
| A Primal-Dual Algorithm for Hybrid Federated Learning. | AAAI | 2024 | Link |
| A Privacy Preserving Federated Learning (PPFL) Based Cognitive Digital Twin (CDT) Framework for Smart Cities. | AAAI | 2024 | Link |
| Adapted Weighted Aggregation in Federated Learning. | AAAI | 2024 | Link |
| Adversarial Attacks on Federated-Learned Adaptive Bitrate Algorithms. | AAAI | 2024 | Link |
| Algorithmic Foundation of Federated Learning with Sequential Data. | AAAI | 2024 | Link |
| Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning. | AAAI | 2024 | Link |
| CLIP-Guided Federated Learning on Heterogeneity and Long-Tailed Data. | AAAI | 2024 | Link |
| Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space. | AAAI | 2024 | Link |
| Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators. | AAAI | 2024 | Link |
| Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning. | AAAI | 2024 | Link |
| Concealing Sensitive Samples against Gradient Leakage in Federated Learning. | AAAI | 2024 | Link |
| Data Disparity and Temporal Unavailability Aware Asynchronous Federated Learning for Predictive Maintenance on Transportation Fleets. | AAAI | 2024 | Link |
| Diversity-Authenticity Co-constrained Stylization for Federated Domain Generalization in Person Re-identification. | AAAI | 2024 | Link |
| EMGAN: Early-Mix-GAN on Extracting Server-Side Model in Split Federated Learning. | AAAI | 2024 | Link |
| Efficient Asynchronous Federated Learning with Prospective Momentum Aggregation and Fine-Grained Correction. | AAAI | 2024 | Link |
| Exploiting Label Skews in Federated Learning with Model Concatenation. | AAAI | 2024 | Link |
| Exploring One-Shot Semi-supervised Federated Learning with Pre-trained Diffusion Models. | AAAI | 2024 | Link |
| FairTrade: Achieving Pareto-Optimal Trade-Offs between Balanced Accuracy and Fairness in Federated Learning. | AAAI | 2024 | Link |
| Fed-QSSL: A Framework for Personalized Federated Learning under Bitwidth and Data Heterogeneity. | AAAI | 2024 | Link |
| FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation Noise. | AAAI | 2024 | Link |
| FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-Aware Model Update. | AAAI | 2024 | Link |
| FedCD: Federated Semi-Supervised Learning with Class Awareness Balance via Dual Teachers. | AAAI | 2024 | Link |
| FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning. | AAAI | 2024 | Link |
| FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants. | AAAI | 2024 | Link |
| FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning. | AAAI | 2024 | Link |
| FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels. | AAAI | 2024 | Link |
| FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning. | AAAI | 2024 | Link |
| FedGCR: Achieving Performance and Fairness for Federated Learning with Distinct Client Types via Group Customization and Reweighting. | AAAI | 2024 | Link |
| FedLF: Layer-Wise Fair Federated Learning. | AAAI | 2024 | Link |
| FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing. | AAAI | 2024 | Link |
| FedMut: Generalized Federated Learning via Stochastic Mutation. | AAAI | 2024 | Link |
| FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning. | AAAI | 2024 | Link |
| FedST: Federated Style Transfer Learning for Non-IID Image Segmentation. | AAAI | 2024 | Link |
| FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning. | AAAI | 2024 | Link |
| Federated Adaptive Prompt Tuning for Multi-Domain Collaborative Learning. | AAAI | 2024 | Link |
| Federated Causality Learning with Explainable Adaptive Optimization. | AAAI | 2024 | Link |
| Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users. | AAAI | 2024 | Link |
| Federated Graph Learning under Domain Shift with Generalizable Prototypes. | AAAI | 2024 | Link |
| Federated Label-Noise Learning with Local Diversity Product Regularization. | AAAI | 2024 | Link |
| Federated Learning via Input-Output Collaborative Distillation. | AAAI | 2024 | Link |
| Federated Learning with Extremely Noisy Clients via Negative Distillation. | AAAI | 2024 | Link |
| Federated Modality-Specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation. | AAAI | 2024 | Link |
| Federated Partial Label Learning with Local-Adaptive Augmentation and Regularization. | AAAI | 2024 | Link |
| Federated X-armed Bandit. | AAAI | 2024 | Link |
| Formal Logic Enabled Personalized Federated Learning through Property Inference. | AAAI | 2024 | Link |
| General Commerce Intelligence: Glocally Federated NLP-Based Engine for Privacy-Preserving and Sustainable Personalized Services of Multi-Merchants. | AAAI | 2024 | Link |
| HiFi-Gas: Hierarchical Federated Learning Incentive Mechanism Enhanced Gas Usage Estimation. | AAAI | 2024 | Link |
| Integer Is Enough: When Vertical Federated Learning Meets Rounding. | AAAI | 2024 | Link |
| Knowledge Transfer via Compact Model in Federated Learning (Student Abstract). | AAAI | 2024 | Link |
| Knowledge-Aware Parameter Coaching for Personalized Federated Learning. | AAAI | 2024 | Link |
| LR-XFL: Logical Reasoning-Based Explainable Federated Learning. | AAAI | 2024 | Link |
| Language-Guided Transformer for Federated Multi-Label Classification. | AAAI | 2024 | Link |
| Multi-Dimensional Fair Federated Learning. | AAAI | 2024 | Link |
| Multi-Source Collaborative Gradient Discrepancy Minimization for Federated Domain Generalization. | AAAI | 2024 | Link |
| No Prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation. | AAAI | 2024 | Link |
| On Disentanglement of Asymmetrical Knowledge Transfer for Modality-Task Agnostic Federated Learning. | AAAI | 2024 | Link |
| On the Role of Server Momentum in Federated Learning. | AAAI | 2024 | Link |
| PICSR: Prototype-Informed Cross-Silo Router for Federated Learning (Student Abstract). | AAAI | 2024 | Link |
| PPIDSG: A Privacy-Preserving Image Distribution Sharing Scheme with GAN in Federated Learning. | AAAI | 2024 | Link |
| PerFedRLNAS: One-for-All Personalized Federated Neural Architecture Search. | AAAI | 2024 | Link |
| Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts. | AAAI | 2024 | Link |
| Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images. | AAAI | 2024 | Link |
| Provably Convergent Federated Trilevel Learning. | AAAI | 2024 | Link |
| Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective. | AAAI | 2024 | Link |
| Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning against Attribute Inference Attacks. | AAAI | 2024 | Link |
| Towards Fair Graph Federated Learning via Incentive Mechanisms. | AAAI | 2024 | Link |
| Towards the Robustness of Differentially Private Federated Learning. | AAAI | 2024 | Link |
| TurboSVM-FL: Boosting Federated Learning through SVM Aggregation for Lazy Clients. | AAAI | 2024 | Link |
| UFDA: Universal Federated Domain Adaptation with Practical Assumptions. | AAAI | 2024 | Link |
| Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models. | AAAI | 2024 | Link |
| z-SignFedAvg: A Unified Stochastic Sign-Based Compression for Federated Learning. | AAAI | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| A Federated Learning Monitoring Tool for Self-Driving Car Simulation (Student Abstract). | AAAI | 2023 | Link |
| Almost Cost-Free Communication in Federated Best Arm Identification. | AAAI | 2023 | Link |
| Bayesian Federated Neural Matching That Completes Full Information. | AAAI | 2023 | Link |
| Beyond ADMM: A Unified Client-Variance-Reduced Adaptive Federated Learning Framework. | AAAI | 2023 | Link |
| CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems. | AAAI | 2023 | Link |
| Clustered Federated Learning for Heterogeneous Data (Student Abstract). | AAAI | 2023 | Link |
| Complement Sparsification: Low-Overhead Model Pruning for Federated Learning. | AAAI | 2023 | Link |
| DPAUC: Differentially Private AUC Computation in Federated Learning. | AAAI | 2023 | Link |
| DeFL: Defending against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness. | AAAI | 2023 | Link |
| Delving into the Adversarial Robustness of Federated Learning. | AAAI | 2023 | Link |
| Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model. | AAAI | 2023 | Link |
| Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles between Client Data Subspaces. | AAAI | 2023 | Link |
| Efficient Training of Large-Scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout. | AAAI | 2023 | Link |
| FairFed: Enabling Group Fairness in Federated Learning. | AAAI | 2023 | Link |
| Faster Adaptive Federated Learning. | AAAI | 2023 | Link |
| FedABC: Targeting Fair Competition in Personalized Federated Learning. | AAAI | 2023 | Link |
| FedALA: Adaptive Local Aggregation for Personalized Federated Learning. | AAAI | 2023 | Link |
| FedGS: Federated Graph-Based Sampling with Arbitrary Client Availability. | AAAI | 2023 | Link |
| FedMDFG: Federated Learning with Multi-Gradient Descent and Fair Guidance. | AAAI | 2023 | Link |
| FedNP: Towards Non-IID Federated Learning via Federated Neural Propagation. | AAAI | 2023 | Link |
| Federated Generative Model on Multi-Source Heterogeneous Data in IoT. | AAAI | 2023 | Link |
| Federated Learning on Non-IID Graphs via Structural Knowledge Sharing. | AAAI | 2023 | Link |
| Federated Robustness Propagation: Sharing Adversarial Robustness in Heterogeneous Federated Learning. | AAAI | 2023 | Link |
| Incentive-Boosted Federated Crowdsourcing. | AAAI | 2023 | Link |
| Industry-Scale Orchestrated Federated Learning for Drug Discovery. | AAAI | 2023 | Link |
| Layer-Wise Adaptive Model Aggregation for Scalable Federated Learning. | AAAI | 2023 | Link |
| MGIA: Mutual Gradient Inversion Attack in Multi-Modal Federated Learning (Student Abstract). | AAAI | 2023 | Link |
| On the Vulnerability of Backdoor Defenses for Federated Learning. | AAAI | 2023 | Link |
| Poisoning with Cerberus: Stealthy and Colluded Backdoor Attack against Federated Learning. | AAAI | 2023 | Link |
| Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning. | AAAI | 2023 | Link |
| Tackling Data Heterogeneity in Federated Learning with Class Prototypes. | AAAI | 2023 | Link |
| Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense. | AAAI | 2023 | Link |
| Win-Win: A Privacy-Preserving Federated Framework for Dual-Target Cross-Domain Recommendation. | AAAI | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| A Multi-Agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning. | AAAI | 2022 | Link |
| AsyncFL: Asynchronous Federated Learning Using Majority Voting with Quantized Model Updates (Student Abstract). | AAAI | 2022 | Link |
| Class-Wise Adaptive Self Distillation for Federated Learning on Non-IID Data (Student Abstract). | AAAI | 2022 | Link |
| Contribution-Aware Federated Learning for Smart Healthcare. | AAAI | 2022 | Link |
| Coordinating Momenta for Cross-Silo Federated Learning. | AAAI | 2022 | Link |
| Cross-Modal Federated Human Activity Recognition via Modality-Agnostic and Modality-Specific Representation Learning. | AAAI | 2022 | Link |
| CrowdFL: A Marketplace for Crowdsourced Federated Learning. | AAAI | 2022 | Link |
| Efficient Device Scheduling with Multi-Job Federated Learning. | AAAI | 2022 | Link |
| FedCC: Federated Learning with Consensus Confirmation for Byzantine Attack Resistance (Student Abstract). | AAAI | 2022 | Link |
| FedFR: Joint Optimization Federated Framework for Generic and Personalized Face Recognition. | AAAI | 2022 | Link |
| FedInv: Byzantine-Robust Federated Learning by Inversing Local Model Updates. | AAAI | 2022 | Link |
| FedProto: Federated Prototype Learning across Heterogeneous Clients. | AAAI | 2022 | Link |
| FedSoft: Soft Clustered Federated Learning with Proximal Local Updating. | AAAI | 2022 | Link |
| Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better. | AAAI | 2022 | Link |
| Federated Learning for Face Recognition with Gradient Correction. | AAAI | 2022 | Link |
| Federated Nearest Neighbor Classification with a Colony of Fruit-Flies. | AAAI | 2022 | Link |
| HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images. | AAAI | 2022 | Link |
| Implicit Gradient Alignment in Distributed and Federated Learning. | AAAI | 2022 | Link |
| Is Your Data Relevant?: Dynamic Selection of Relevant Data for Federated Learning. | AAAI | 2022 | Link |
| Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation. | AAAI | 2022 | Link |
| Seizing Critical Learning Periods in Federated Learning. | AAAI | 2022 | Link |
| SmartIdx: Reducing Communication Cost in Federated Learning by Exploiting the CNNs Structures. | AAAI | 2022 | Link |
| SplitFed: When Federated Learning Meets Split Learning. | AAAI | 2022 | Link |
| SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data. | AAAI | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| A Serverless Approach to Federated Learning Infrastructure Oriented for IoT/Edge Data Sources (Student Abstract). | AAAI | 2021 | Link |
| Addressing Class Imbalance in Federated Learning. | AAAI | 2021 | Link |
| Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning. | AAAI | 2021 | Link |
| Defending against Backdoors in Federated Learning with Robust Learning Rate. | AAAI | 2021 | Link |
| FLAME: Differentially Private Federated Learning in the Shuffle Model. | AAAI | 2021 | Link |
| FedRec++: Lossless Federated Recommendation with Explicit Feedback. | AAAI | 2021 | Link |
| Federated Block Coordinate Descent Scheme for Learning Global and Personalized Models. | AAAI | 2021 | Link |
| Federated Multi-Armed Bandits. | AAAI | 2021 | Link |
| Game of Gradients: Mitigating Irrelevant Clients in Federated Learning. | AAAI | 2021 | Link |
| Model-sharing Games: Analyzing Federated Learning Under Voluntary Participation. | AAAI | 2021 | Link |
| On the Convergence of Communication-Efficient Local SGD for Federated Learning. | AAAI | 2021 | Link |
| Personalized Cross-Silo Federated Learning on Non-IID Data. | AAAI | 2021 | Link |
| Provably Secure Federated Learning against Malicious Clients. | AAAI | 2021 | Link |
| Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating. | AAAI | 2021 | Link |
| Toward Understanding the Influence of Individual Clients in Federated Learning. | AAAI | 2021 | Link |
2020
| Title | Venue | Year | Link |
|---|---|---|---|
| FedVision: An Online Visual Object Detection Platform Powered by Federated Learning. | AAAI | 2020 | Link |
| Federated Latent Dirichlet Allocation: A Local Differential Privacy Based Framework. | AAAI | 2020 | Link |
| Federated Learning for Vision-and-Language Grounding Problems. | AAAI | 2020 | Link |
| Federated Patient Hashing. | AAAI | 2020 | Link |
| Practical Federated Gradient Boosting Decision Trees. | AAAI | 2020 | Link |
| Robust Federated Learning via Collaborative Machine Teaching. | AAAI | 2020 | Link |
2011
| Title | Venue | Year | Link |
|---|---|---|---|
| Mechanism Design for Federated Sponsored Search Auctions. | AAAI | 2011 | Link |
AISTATS
Expand AISTATS
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning. | AISTATS | 2025 | Link |
| DPFL: Decentralized Personalized Federated Learning. | AISTATS | 2025 | Link |
| FedBaF: Federated Learning Aggregation Biased by a Foundation Model. | AISTATS | 2025 | Link |
| Federated Causal Inference: Multi-Study ATE Estimation beyond Meta-Analysis. | AISTATS | 2025 | Link |
| Federated Communication-Efficient Multi-Objective Optimization. | AISTATS | 2025 | Link |
| Federated UCBVI: Communication-Efficient Federated Regret Minimization with Heterogeneous Agents. | AISTATS | 2025 | Link |
| Global Group Fairness in Federated Learning via Function Tracking. | AISTATS | 2025 | Link |
| On the Convergence of Continual Federated Learning Using Incrementally Aggregated Gradients. | AISTATS | 2025 | Link |
| On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond. | AISTATS | 2025 | Link |
| Optimising Clinical Federated Learning through Mode Connectivity-based Model Aggregation. | AISTATS | 2025 | Link |
| Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning. | AISTATS | 2025 | Link |
| Refined Analysis of Constant Step Size Federated Averaging and Federated Richardson-Romberg Extrapolation. | AISTATS | 2025 | Link |
| The cost of local and global fairness in Federated Learning. | AISTATS | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| Adaptive Compression in Federated Learning via Side Information. | AISTATS | 2024 | Link |
| Adaptive Federated Minimax Optimization with Lower Complexities. | AISTATS | 2024 | Link |
| Analysis of Privacy Leakage in Federated Large Language Models. | AISTATS | 2024 | Link |
| Asynchronous SGD on Graphs: a Unified Framework for Asynchronous Decentralized and Federated Optimization. | AISTATS | 2024 | Link |
| BOBA: Byzantine-Robust Federated Learning with Label Skewness. | AISTATS | 2024 | Link |
| Communication-Efficient Federated Learning With Data and Client Heterogeneity. | AISTATS | 2024 | Link |
| Compression with Exact Error Distribution for Federated Learning. | AISTATS | 2024 | Link |
| Escaping Saddle Points in Heterogeneous Federated Learning via Distributed SGD with Communication Compression. | AISTATS | 2024 | Link |
| FedFisher: Leveraging Fisher Information for One-Shot Federated Learning. | AISTATS | 2024 | Link |
| Federated Experiment Design under Distributed Differential Privacy. | AISTATS | 2024 | Link |
| Federated Learning For Heterogeneous Electronic Health Records Utilising Augmented Temporal Graph Attention Networks. | AISTATS | 2024 | Link |
| Federated Linear Contextual Bandits with Heterogeneous Clients. | AISTATS | 2024 | Link |
| Invariant Aggregator for Defending against Federated Backdoor Attacks. | AISTATS | 2024 | Link |
| On-Demand Federated Learning for Arbitrary Target Class Distributions. | AISTATS | 2024 | Link |
| Personalized Federated X-armed Bandit. | AISTATS | 2024 | Link |
| Provable Mutual Benefits from Federated Learning in Privacy-Sensitive Domains. | AISTATS | 2024 | Link |
| Queuing dynamics of asynchronous Federated Learning. | AISTATS | 2024 | Link |
| SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization. | AISTATS | 2024 | Link |
| Stochastic Smoothed Gradient Descent Ascent for Federated Minimax Optimization. | AISTATS | 2024 | Link |
| Understanding Generalization of Federated Learning via Stability: Heterogeneity Matters. | AISTATS | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| Active Membership Inference Attack under Local Differential Privacy in Federated Learning. | AISTATS | 2023 | Link |
| Byzantine-Robust Federated Learning with Optimal Statistical Rates. | AISTATS | 2023 | Link |
| Characterizing Internal Evasion Attacks in Federated Learning. | AISTATS | 2023 | Link |
| Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout. | AISTATS | 2023 | Link |
| Federated Asymptotics: a model to compare federated learning algorithms. | AISTATS | 2023 | Link |
| Federated Averaging Langevin Dynamics: Toward a unified theory and new algorithms. | AISTATS | 2023 | Link |
| Federated Learning for Data Streams. | AISTATS | 2023 | Link |
| Federated Learning under Distributed Concept Drift. | AISTATS | 2023 | Link |
| Nothing but Regrets - Privacy-Preserving Federated Causal Discovery. | AISTATS | 2023 | Link |
| Private Non-Convex Federated Learning Without a Trusted Server. | AISTATS | 2023 | Link |
| The communication cost of security and privacy in federated frequency estimation. | AISTATS | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits. | AISTATS | 2022 | Link |
| Basis Matters: Better Communication-Efficient Second Order Methods for Federated Learning. | AISTATS | 2022 | Link |
| Differentially Private Federated Learning on Heterogeneous Data. | AISTATS | 2022 | Link |
| FLIX: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning. | AISTATS | 2022 | Link |
| Federated Functional Gradient Boosting. | AISTATS | 2022 | Link |
| Federated Learning with Buffered Asynchronous Aggregation. | AISTATS | 2022 | Link |
| Federated Myopic Community Detection with One-shot Communication. | AISTATS | 2022 | Link |
| Federated Reinforcement Learning with Environment Heterogeneity. | AISTATS | 2022 | Link |
| QLSD: Quantised Langevin Stochastic Dynamics for Bayesian Federated Learning. | AISTATS | 2022 | Link |
| Sharp Bounds for Federated Averaging (Local SGD) and Continuous Perspective. | AISTATS | 2022 | Link |
| SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification. | AISTATS | 2022 | Link |
| Towards Federated Bayesian Network Structure Learning with Continuous Optimization. | AISTATS | 2022 | Link |
| Towards Understanding Biased Client Selection in Federated Learning. | AISTATS | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| Convergence and Accuracy Trade-Offs in Federated Learning and Meta-Learning. | AISTATS | 2021 | Link |
| Federated Learning with Compression: Unified Analysis and Sharp Guarantees. | AISTATS | 2021 | Link |
| Federated Multi-armed Bandits with Personalization. | AISTATS | 2021 | Link |
| Federated f-Differential Privacy. | AISTATS | 2021 | Link |
| Free-rider Attacks on Model Aggregation in Federated Learning. | AISTATS | 2021 | Link |
| Shuffled Model of Differential Privacy in Federated Learning. | AISTATS | 2021 | Link |
| Towards Flexible Device Participation in Federated Learning. | AISTATS | 2021 | Link |
2020
| Title | Venue | Year | Link |
|---|---|---|---|
| FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization. | AISTATS | 2020 | Link |
| Federated Heavy Hitters Discovery with Differential Privacy. | AISTATS | 2020 | Link |
| How To Backdoor Federated Learning. | AISTATS | 2020 | Link |
KDD
Expand KDD
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| A Unified Solution to Diverse Heterogeneities in One-Shot Federated Learning. | KDD | 2025 | Link |
| Asymmetrical Reciprocity-based Federated Learning for Resolving Disparities in Medical Diagnosis. | KDD | 2025 | Link |
| BTFL: A Bayesian-based Test-Time Generalization Method for Internal and External Data Distributions in Federated learning. | KDD | 2025 | Link |
| Breaking the Memory Wall for Heterogeneous Federated Learning via Progressive Training. | KDD | 2025 | Link |
| DarkDistill: Difficulty-Aligned Federated Early-Exit Network Training on Heterogeneous Devices. | KDD | 2025 | Link |
| FEZE: Alignment-Flexible Zero-Shot Vertical Federated Learning. | KDD | 2025 | Link |
| FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning. | KDD | 2025 | Link |
| FedAPM: Federated Learning via ADMM with Partial Model Personalization. | KDD | 2025 | Link |
| FedDiAL: Adaptive Federated Learning with Hierarchical Discriminative Network for Large Pre-trained Models. | KDD | 2025 | Link |
| FedGuCci: Making Local Models More Connected in Landscape for Federated Learning. | KDD | 2025 | Link |
| FedKDD 2025: The 2025 International Joint Workshop on Federated Learning for Data Mining and Graph Analytics. | KDD | 2025 | Link |
| FedMetro: Efficient Metro Passenger Flow Prediction via Federated Graph Learning. | KDD | 2025 | Link |
| FedSC: Federated Learning with Semantic-Aware Collaboration. | KDD | 2025 | Link |
| FedVS: Towards Federated Vector Similarity Search with Filters. | KDD | 2025 | Link |
| Federated Continual Graph Learning. | KDD | 2025 | Link |
| Generalizing Personalized Federated Graph Augmentation via Min-max Adversarial Learning. | KDD | 2025 | Link |
| Gradients as An Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing. | KDD | 2025 | Link |
| GuardFGL: Similarity-driven Federated Graph Learning with Adversarial Robustness and Membership Privacy. | KDD | 2025 | Link |
| HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark. | KDD | 2025 | Link |
| PARSIFAL: Private and Robust Sign Federated Learning. | KDD | 2025 | Link |
| PraFFL: A Preference-Aware Scheme in Fair Federated Learning. | KDD | 2025 | Link |
| Proxy-Validated Importance-Aware Federated Sample Selection with Meta Learning. | KDD | 2025 | Link |
| Runtime-Aware Pipeline for Vertical Federated Learning with Bounded Model Staleness. | KDD | 2025 | Link |
| Tackling Federated Long-Tailed Learning via Synthetic Feature-Based Decoupled Training. | KDD | 2025 | Link |
| Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and Regression. | KDD | 2025 | Link |
| Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift. | KDD | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| Asynchronous Vertical Federated Learning for Kernelized AUC Maximization. | KDD | 2024 | Link |
| BadSampler: Harnessing the Power of Catastrophic Forgetting to Poison Byzantine-robust Federated Learning. | KDD | 2024 | Link |
| CASA: Clustered Federated Learning with Asynchronous Clients. | KDD | 2024 | Link |
| Distributed Harmonization: Federated Clustered Batch Effect Adjustment and Generalization. | KDD | 2024 | Link |
| Enabling Collaborative Test-Time Adaptation in Dynamic Environment via Federated Learning. | KDD | 2024 | Link |
| FLAIM: AIM-based Synthetic Data Generation in the Federated Setting. | KDD | 2024 | Link |
| FLea: Addressing Data Scarcity and Label Skew in Federated Learning via Privacy-preserving Feature Augmentation. | KDD | 2024 | Link |
| FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model. | KDD | 2024 | Link |
| FedGTP: Exploiting Inter-Client Spatial Dependency in Federated Graph-based Traffic Prediction. | KDD | 2024 | Link |
| FedKDD: International Joint Workshop on Federated Learning for Data Mining and Graph Analytics. | KDD | 2024 | Link |
| FedNLR: Federated Learning with Neuron-wise Learning Rates. | KDD | 2024 | Link |
| FedRoLA: Robust Federated Learning Against Model Poisoning via Layer-based Aggregation. | KDD | 2024 | Link |
| FedSAC: Dynamic Submodel Allocation for Collaborative Fairness in Federated Learning. | KDD | 2024 | Link |
| FedSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMs. | KDD | 2024 | Link |
| Federated Graph Learning with Structure Proxy Alignment. | KDD | 2024 | Link |
| FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning. | KDD | 2024 | Link |
| GPFedRec: Graph-Guided Personalization for Federated Recommendation. | KDD | 2024 | Link |
| HiFGL: A Hierarchical Framework for Cross-silo Cross-device Federated Graph Learning. | KDD | 2024 | Link |
| Is Aggregation the Only Choice? Federated Learning via Layer-wise Model Recombination. | KDD | 2024 | Link |
| On the Convergence of Zeroth-Order Federated Tuning for Large Language Models. | KDD | 2024 | Link |
| OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning. | KDD | 2024 | Link |
| PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection. | KDD | 2024 | Link |
| Personalized Federated Continual Learning via Multi-Granularity Prompt. | KDD | 2024 | Link |
| Preventing Strategic Behaviors in Collaborative Inference for Vertical Federated Learning. | KDD | 2024 | Link |
| Privacy-Preserving Federated Learning using Flower Framework. | KDD | 2024 | Link |
| VertiMRF: Differentially Private Vertical Federated Data Synthesis. | KDD | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| CriticalFL: A Critical Learning Periods Augmented Client Selection Framework for Efficient Federated Learning. | KDD | 2023 | Link |
| DM-PFL: Hitchhiking Generic Federated Learning for Efficient Shift-Robust Personalization. | KDD | 2023 | Link |
| FLAMES2Graph: An Interpretable Federated Multivariate Time Series Classification Framework. | KDD | 2023 | Link |
| FS-REAL: Towards Real-World Cross-Device Federated Learning. | KDD | 2023 | Link |
| FedAPEN: Personalized Cross-silo Federated Learning with Adaptability to Statistical Heterogeneity. | KDD | 2023 | Link |
| FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy. | KDD | 2023 | Link |
| FedDefender: Client-Side Attack-Tolerant Federated Learning. | KDD | 2023 | Link |
| FedMultimodal: A Benchmark for Multimodal Federated Learning. | KDD | 2023 | Link |
| FedPseudo: Privacy-Preserving Pseudo Value-Based Deep Learning Models for Federated Survival Analysis. | KDD | 2023 | Link |
| Federated Few-shot Learning. | KDD | 2023 | Link |
| International Workshop on Federated Learning for Distributed Data Mining. | KDD | 2023 | Link |
| Navigating Alignment for Non-identical Client Class Sets: A Label Name-Anchored Federated Learning Framework. | KDD | 2023 | Link |
| Personalized Federated Learning with Parameter Propagation. | KDD | 2023 | Link |
| Privacy Matters: Vertical Federated Linear Contextual Bandits for Privacy Protected Recommendation. | KDD | 2023 | Link |
| PrivateRec: Differentially Private Model Training and Online Serving for Federated News Recommendation. | KDD | 2023 | Link |
| Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks. | KDD | 2023 | Link |
| Serverless Federated AUPRC Optimization for Multi-Party Collaborative Imbalanced Data Mining. | KDD | 2023 | Link |
| ShapleyFL: Robust Federated Learning Based on Shapley Value. | KDD | 2023 | Link |
| Theoretical Convergence Guaranteed Resource-Adaptive Federated Learning with Mixed Heterogeneity. | KDD | 2023 | Link |
| UA-FedRec: Untargeted Attack on Federated News Recommendation. | KDD | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| A Practical Introduction to Federated Learning. | KDD | 2022 | Link |
| Collaboration Equilibrium in Federated Learning. | KDD | 2022 | Link |
| Communication-Efficient Robust Federated Learning with Noisy Labels. | KDD | 2022 | Link |
| Connecting Low-Loss Subspace for Personalized Federated Learning. | KDD | 2022 | Link |
| FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients. | KDD | 2022 | Link |
| Fed-LTD: Towards Cross-Platform Ride Hailing via Federated Learning to Dispatch. | KDD | 2022 | Link |
| FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling. | KDD | 2022 | Link |
| FedMSplit: Correlation-Adaptive Federated Multi-Task Learning across Multimodal Split Networks. | KDD | 2022 | Link |
| FedWalk: Communication Efficient Federated Unsupervised Node Embedding with Differential Privacy. | KDD | 2022 | Link |
| FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning. | KDD | 2022 | Link |
| Felicitas: Federated Learning in Distributed Cross Device Collaborative Frameworks. | KDD | 2022 | Link |
| No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices. | KDD | 2022 | Link |
| Practical Lossless Federated Singular Vector Decomposition over Billion-Scale Data. | KDD | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization. | KDD | 2021 | Link |
| Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling. | KDD | 2021 | Link |
| FLOP: Federated Learning on Medical Datasets using Partial Networks. | KDD | 2021 | Link |
| Fed2: Feature-Aligned Federated Learning. | KDD | 2021 | Link |
| FedRS: Federated Learning with Restricted Softmax for Label Distribution Non-IID Data. | KDD | 2021 | Link |
| Federated Adversarial Debiasing for Fair and Transferable Representations. | KDD | 2021 | Link |
| Towards Fair Federated Learning. | KDD | 2021 | Link |
2020
| Title | Venue | Year | Link |
|---|---|---|---|
| FedFast: Going Beyond Average for Faster Training of Federated Recommender Systems. | KDD | 2020 | Link |
| Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data. | KDD | 2020 | Link |
2017
| Title | Venue | Year | Link |
|---|---|---|---|
| Federated Tensor Factorization for Computational Phenotyping. | KDD | 2017 | Link |
WSDM
Expand WSDM
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| Density-aware and Cluster-based Federated Anomaly Detection on Data Streams. | WSDM | 2025 | Link |
| FedGF: Enhancing Structural Knowledge via Graph Factorization for Federated Graph Learning. | WSDM | 2025 | Link |
| Integrating Knowledge Graphs and Neuro-Symbolic AI: LDM Enables FAIR and Federated Research Data Management. | WSDM | 2025 | Link |
| Privacy-Preserving Orthogonal Aggregation for Guaranteeing Gender Fairness in Federated Recommendation. | WSDM | 2025 | Link |
| Towards Personalized Federated Multi-Scenario Multi-Task Recommendation. | WSDM | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| Guardian: Guarding against Gradient Leakage with Provable Defense for Federated Learning. | WSDM | 2024 | Link |
| User Consented Federated Recommender System Against Personalized Attribute Inference Attack. | WSDM | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| Federated Unlearning for On-Device Recommendation. | WSDM | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| PipAttack: Poisoning Federated Recommender Systems for Manipulating Item Promotion. | WSDM | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| A Practical Federated Learning Framework for Small Number of Stakeholders. | WSDM | 2021 | Link |
| Federated Deep Knowledge Tracing. | WSDM | 2021 | Link |
2019
| Title | Venue | Year | Link |
|---|---|---|---|
| Federated Online Learning to Rank with Evolution Strategies. | WSDM | 2019 | Link |
2012
| Title | Venue | Year | Link |
|---|---|---|---|
| Beyond ten blue links: enabling user click modeling in federated web search. | WSDM | 2012 | Link |
2011
| Title | Venue | Year | Link |
|---|---|---|---|
| On composition of a federated web search result page: using online users to provide pairwise preference for heterogeneous verticals. | WSDM | 2011 | Link |
CCS
Expand CCS
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| Armadillo: Robust Single-Server Secure Aggregation for Federated Learning with Input Validation. | CCS | 2025 | Link |
| FilterFL: Knowledge Filtering-based Data-Free Backdoor Defense for Federated Learning. | CCS | 2025 | Link |
| Harnessing Sparsification in Federated Learning: A Secure, Efficient, and Differentially Private Realization. | CCS | 2025 | Link |
| On Hyperparameters and Backdoor-Resistance in Horizontal Federated Learning. | CCS | 2025 | Link |
| Poster: Adaptive Gradient Clipping with Personalized Differential Privacy for Heterogeneous Federated Learning. | CCS | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| Byzantine-Robust Decentralized Federated Learning. | CCS | 2024 | Link |
| Camel: Communication-Efficient and Maliciously Secure Federated Learning in the Shuffle Model of Differential Privacy. | CCS | 2024 | Link |
| Cross-silo Federated Learning with Record-level Personalized Differential Privacy. | CCS | 2024 | Link |
| Distributed Backdoor Attacks on Federated Graph Learning and Certified Defenses. | CCS | 2024 | Link |
| Not One Less: Exploring Interplay between User Profiles and Items in Untargeted Attacks against Federated Recommendation. | CCS | 2024 | Link |
| Poster: End-to-End Privacy-Preserving Vertical Federated Learning using Private Cross-Organizational Data Collaboration. | CCS | 2024 | Link |
| Poster: Protection against Source Inference Attacks in Federated Learning using Unary Encoding and Shuffling. | CCS | 2024 | Link |
| Samplable Anonymous Aggregation for Private Federated Data Analysis. | CCS | 2024 | Link |
| Two-Tier Data Packing in RLWE-based Homomorphic Encryption for Secure Federated Learning. | CCS | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| MESAS: Poisoning Defense for Federated Learning Resilient against Adaptive Attackers. | CCS | 2023 | Link |
| Poster: Bridging Trust Gaps: Data Usage Transparency in Federated Data Ecosystems. | CCS | 2023 | Link |
| Poster: Verifiable Data Valuation with Strong Fairness in Horizontal Federated Learning. | CCS | 2023 | Link |
| Turning Privacy-preserving Mechanisms against Federated Learning. | CCS | 2023 | Link |
| Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks. | CCS | 2023 | Link |
| martFL: Enabling Utility-Driven Data Marketplace with a Robust and Verifiable Federated Learning Architecture. | CCS | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| CERBERUS: Exploring Federated Prediction of Security Events. | CCS | 2022 | Link |
| EIFFeL: Ensuring Integrity for Federated Learning. | CCS | 2022 | Link |
| Eluding Secure Aggregation in Federated Learning via Model Inconsistency. | CCS | 2022 | Link |
| Federated Boosted Decision Trees with Differential Privacy. | CCS | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| Private Hierarchical Clustering in Federated Networks. | CCS | 2021 | Link |
2019
| Title | Venue | Year | Link |
|---|---|---|---|
| Poster: A Reliable and Accountable Privacy-Preserving Federated Learning Framework using the Blockchain. | CCS | 2019 | Link |
ACL
Expand ACL
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Models. | ACL | 2025 | Link |
| FedDQC: Data Quality Control in Federated Instruction-tuning of Large Language Models. | ACL | 2025 | Link |
| FedEx-LoRA: Exact Aggregation for Federated and Efficient Fine-Tuning of Large Language Models. | ACL | 2025 | Link |
| FedLEKE: Federated Locate-then-Edit Knowledge Editing for Multi-Client Collaboration. | ACL | 2025 | Link |
| Federated Data-Efficient Instruction Tuning for Large Language Models. | ACL | 2025 | Link |
| Towards Robust and Efficient Federated Low-Rank Adaptation with Heterogeneous Clients. | ACL | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| Fair Federated Learning with Biased Vision-Language Models. | ACL | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| Client-Customized Adaptation for Parameter-Efficient Federated Learning. | ACL | 2023 | Link |
| Communication Efficient Federated Learning for Multilingual Neural Machine Translation with Adapter. | ACL | 2023 | Link |
| FEDLEGAL: The First Real-World Federated Learning Benchmark for Legal NLP. | ACL | 2023 | Link |
| FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models. | ACL | 2023 | Link |
| Federated Domain Adaptation for Named Entity Recognition via Distilling with Heterogeneous Tag Sets. | ACL | 2023 | Link |
| Federated Learning for Semantic Parsing: Task Formulation, Evaluation Setup, New Algorithms. | ACL | 2023 | Link |
| Federated Learning of Gboard Language Models with Differential Privacy. | ACL | 2023 | Link |
NAACL-HLT
Expand NAACL-HLT
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| Can Public Large Language Models Help Private Cross-device Federated Learning? | NAACL-HLT | 2024 | Link |
| FedLFC: Towards Efficient Federated Multilingual Modeling with LoRA-based Language Family Clustering. | NAACL-HLT | 2024 | Link |
| Generalizable Multilingual Hate Speech Detection on Low Resource Indian Languages using Fair Selection in Federated Learning. | NAACL-HLT | 2024 | Link |
| Navigation as Attackers Wish? Towards Building Robust Embodied Agents under Federated Learning. | NAACL-HLT | 2024 | Link |
| Open-Vocabulary Federated Learning with Multimodal Prototyping. | NAACL-HLT | 2024 | Link |
| Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning. | NAACL-HLT | 2024 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks. | NAACL-HLT | 2022 | Link |
| Federated Learning with Noisy User Feedback. | NAACL-HLT | 2022 | Link |
| Pretrained Models for Multilingual Federated Learning. | NAACL-HLT | 2022 | Link |
| Training Mixed-Domain Translation Models via Federated Learning. | NAACL-HLT | 2022 | Link |
EMNLP
Expand EMNLP
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| EcoLoRA: Communication-Efficient Federated Fine-Tuning of Large Language Models. | EMNLP | 2025 | Link |
| Multilingual Federated Low-Rank Adaptation for Collaborative Content Anomaly Detection across Multilingual Social Media Participants. | EMNLP | 2025 | Link |
| PPC-GPT: Federated Task-Specific Compression of Large Language Models via Pruning and Chain-of-Thought Distillation. | EMNLP | 2025 | Link |
| X-FLoRA: Cross-modal Federated Learning with Modality-expert LoRA for Medical VQA. | EMNLP | 2025 | Link |
| pFedGPT: Hierarchically Optimizing LoRA Aggregation Weights for Personalized Federated GPT Models. | EMNLP | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| A Hassle-free Algorithm for Strong Differential Privacy in Federated Learning Systems. | EMNLP | 2024 | Link |
| FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models. | EMNLP | 2024 | Link |
| Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models. | EMNLP | 2024 | Link |
| Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models. | EMNLP | 2024 | Link |
| Low-Resource Machine Translation through the Lens of Personalized Federated Learning. | EMNLP | 2024 | Link |
| Promoting Data and Model Privacy in Federated Learning through Quantized LoRA. | EMNLP | 2024 | Link |
| Safely Learning with Private Data: A Federated Learning Framework for Large Language Model. | EMNLP | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| Coordinated Replay Sample Selection for Continual Federated Learning. | EMNLP | 2023 | Link |
| FedID: Federated Interactive Distillation for Large-Scale Pretraining Language Models. | EMNLP | 2023 | Link |
| FedTherapist: Mental Health Monitoring with User-Generated Linguistic Expressions on Smartphones via Federated Learning. | EMNLP | 2023 | Link |
| Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization. | EMNLP | 2023 | Link |
| Federated Meta-Learning for Emotion and Sentiment Aware Multi-modal Complaint Identification. | EMNLP | 2023 | Link |
| Tunable Soft Prompts are Messengers in Federated Learning. | EMNLP | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| A Federated Approach to Predicting Emojis in Hindi Tweets. | EMNLP | 2022 | Link |
| Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling. | EMNLP | 2022 | Link |
| Dim-Krum: Backdoor-Resistant Federated Learning for NLP with Dimension-wise Krum-Based Aggregation. | EMNLP | 2022 | Link |
| Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation. | EMNLP | 2022 | Link |
| Federated Continual Learning for Text Classification via Selective Inter-client Transfer. | EMNLP | 2022 | Link |
| Federated Model Decomposition with Private Vocabulary for Text Classification. | EMNLP | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| A Secure and Efficient Federated Learning Framework for NLP. | EMNLP | 2021 | Link |
| Distantly Supervised Relation Extraction in Federated Settings. | EMNLP | 2021 | Link |
| Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation. | EMNLP | 2021 | Link |
| Improving Federated Learning for Aspect-based Sentiment Analysis via Topic Memories. | EMNLP | 2021 | Link |
2020
| Title | Venue | Year | Link |
|---|---|---|---|
| Empirical Studies of Institutional Federated Learning For Natural Language Processing. | EMNLP | 2020 | Link |
| FedED: Federated Learning via Ensemble Distillation for Medical Relation Extraction. | EMNLP | 2020 | Link |
COLING
Expand COLING
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| FedCSR: A Federated Framework for Multi-Platform Cross-Domain Sequential Recommendation with Dual Contrastive Learning. | COLING | 2025 | Link |
| FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Models. | COLING | 2025 | Link |
| Federated Incremental Named Entity Recognition. | COLING | 2025 | Link |
| Federated Retrieval Augmented Generation for Multi-Product Question Answering. | COLING | 2025 | Link |
| Gradient Inversion Attack in Federated Learning: Exposing Text Data through Discrete Optimization. | COLING | 2025 | Link |
2020
| Title | Venue | Year | Link |
|---|---|---|---|
| Federated Learning for Spoken Language Understanding. | COLING | 2020 | Link |
SIGIR
Expand SIGIR
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| FedCIA: Federated Collaborative Information Aggregation for Privacy-Preserving Recommendation. | SIGIR | 2025 | Link |
| Joint Item Embedding Dual-view Exploration and Adaptive Local-Global Fusion for Federated Recommendation. | SIGIR | 2025 | Link |
| NodeRec+: A Lightweight Framework for Federated Recommender Systems. | SIGIR | 2025 | Link |
| Unlearning for Federated Online Learning to Rank: A Reproducibility Study. | SIGIR | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| FeB4RAG: Evaluating Federated Search in the Context of Retrieval Augmented Generation. | SIGIR | 2024 | Link |
| FedUD: Exploiting Unaligned Data for Cross-Platform Federated Click-Through Rate Prediction. | SIGIR | 2024 | Link |
| ReFer: Retrieval-Enhanced Vertical Federated Recommendation for Full Set User Benefit. | SIGIR | 2024 | Link |
| Revisit Targeted Model Poisoning on Federated Recommendation: Optimize via Multi-objective Transport. | SIGIR | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| Edge-cloud Collaborative Learning with Federated and Centralized Features. | SIGIR | 2023 | Link |
| FLIRT: Federated Learning for Information Retrieval. | SIGIR | 2023 | Link |
| FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning. | SIGIR | 2023 | Link |
| Fine-Grained Preference-Aware Personalized Federated POI Recommendation with Data Sparsity. | SIGIR | 2023 | Link |
| Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures. | SIGIR | 2023 | Link |
| Personalized Federated Relation Classification over Heterogeneous Texts. | SIGIR | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| Is Non-IID Data a Threat in Federated Online Learning to Rank? | SIGIR | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| FedCMR: Federated Cross-Modal Retrieval. | SIGIR | 2021 | Link |
| FedCT: Federated Collaborative Transfer for Recommendation. | SIGIR | 2021 | Link |
| On the Privacy of Federated Pipelines. | SIGIR | 2021 | Link |
2020
| Title | Venue | Year | Link |
|---|---|---|---|
| Meta Matrix Factorization for Federated Rating Predictions. | SIGIR | 2020 | Link |
2013
| Title | Venue | Year | Link |
|---|---|---|---|
| Search result diversification in resource selection for federated search. | SIGIR | 2013 | Link |
| SearchResultFinder: federated search made easy. | SIGIR | 2013 | Link |
2012
| Title | Venue | Year | Link |
|---|---|---|---|
| Building reputation and trust using federated search and opinion mining. | SIGIR | 2012 | Link |
| Mixture model with multiple centralized retrieval algorithms for result merging in federated search. | SIGIR | 2012 | Link |
| Utilizing inter-document similarities in federated search. | SIGIR | 2012 | Link |
2011
| Title | Venue | Year | Link |
|---|---|---|---|
| A weighted curve fitting method for result merging in federated search. | SIGIR | 2011 | Link |
2010
| Title | Venue | Year | Link |
|---|---|---|---|
| From federated to aggregated search. | SIGIR | 2010 | Link |
2009
| Title | Venue | Year | Link |
|---|---|---|---|
| Effective query expansion for federated search. | SIGIR | 2009 | Link |
2007
| Title | Venue | Year | Link |
|---|---|---|---|
| Exploration of the tradeoff between effectiveness and efficiency for results merging in federated search. | SIGIR | 2007 | Link |
| Federated text retrieval from uncooperative overlapped collections. | SIGIR | 2007 | Link |
| Protecting source privacy in federated search. | SIGIR | 2007 | Link |
| Updating collection representations for federated search. | SIGIR | 2007 | Link |
2006
| Title | Venue | Year | Link |
|---|---|---|---|
| User modeling for full-text federated search in peer-to-peer networks. | SIGIR | 2006 | Link |
2005
| Title | Venue | Year | Link |
|---|---|---|---|
| Modeling search engine effectiveness for federated search. | SIGIR | 2005 | Link |
2004
| Title | Venue | Year | Link |
|---|---|---|---|
| Supporting federated information sharing communities (abstract only). | SIGIR | 2004 | Link |
| Supporting federated information sharing communities. | SIGIR | 2004 | Link |
ICDE
Expand ICDE
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| A Bargaining-Based Approach for Feature Trading in Vertical Federated Learning. | ICDE | 2025 | Link |
| Efficient Data Valuation Approximation in Federated Learning: A Sampling-Based Approach. | ICDE | 2025 | Link |
| FedEcover: Fast and Stable Converging Model-Heterogeneous Federated Learning with Efficient-Coverage Submodel Extraction. | ICDE | 2025 | Link |
| FedSDP: Federated Self-Derived Prototypes for Personalized Federated Learning. | ICDE | 2025 | Link |
| Federated Data Analytics with Differentially Private Density Estimation Model. | ICDE | 2025 | Link |
| Federated Trajectory Similarity Learning with Privacy-Preserving Clustering. | ICDE | 2025 | Link |
| Heterogeneous-Aware Traffic Prediction: A Privacy-Preserving Federated Learning Framework. | ICDE | 2025 | Link |
| Hounding Data Diversity: Towards Participant Selection in Vertical Federated Learning. | ICDE | 2025 | Link |
| Online Federated Learning on Distributed Unknown Data Using UAVs. | ICDE | 2025 | Link |
| pFSSL-D: Generalization Meets Personalization in Dual-Phase Federated Semi-Supervised Learning. | ICDE | 2025 | Link |
| pFedAFM: Adaptive Feature Mixture for Data-Level Personalization in Heterogeneous Federated Learning on Mobile Edge Devices. | ICDE | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity. | ICDE | 2024 | Link |
| Clients Help Clients: Alternating Collaboration for Semi-Supervised Federated Learning. | ICDE | 2024 | Link |
| Fast, Robust and Interpretable Participant Contribution Estimation for Federated Learning. | ICDE | 2024 | Link |
| FedCTQ: A Federated-Based Framework for Accurate and Efficient Contact Tracing Query. | ICDE | 2024 | Link |
| FedCross: Towards Accurate Federated Learning via Multi-Model Cross-Aggregation. | ICDE | 2024 | Link |
| FedMix: Boosting with Data Mixture for Vertical Federated Learning. | ICDE | 2024 | Link |
| Feed: Towards Personalization-Effective Federated Learning. | ICDE | 2024 | Link |
| HeteFedRec: Federated Recommender Systems with Model Heterogeneity. | ICDE | 2024 | Link |
| Hide Your Model: A Parameter Transmission-free Federated Recommender System. | ICDE | 2024 | Link |
| Label Noise Correction for Federated Learning: A Secure, Efficient and Reliable Realization. | ICDE | 2024 | Link |
| LightTR: A Lightweight Framework for Federated Trajectory Recovery. | ICDE | 2024 | Link |
| MergeSFL: Split Federated Learning with Feature Merging and Batch Size Regulation. | ICDE | 2024 | Link |
| Preventing the Popular Item Embedding Based Attack in Federated Recommendations. | ICDE | 2024 | Link |
| RobFL: Robust Federated Learning via Feature Center Separation and Malicious Center Detection. | ICDE | 2024 | Link |
| Semi-Asynchronous Online Federated Crowdsourcing. | ICDE | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| Distribution-Regularized Federated Learning on Non-IID Data. | ICDE | 2023 | Link |
| Dynamic Activation of Clients and Parameters for Federated Learning over Heterogeneous Graphs. | ICDE | 2023 | Link |
| Enhancing Decentralized Federated Learning for Non-IID Data on Heterogeneous Devices. | ICDE | 2023 | Link |
| FLBooster: A Unified and Efficient Platform for Federated Learning Acceleration. | ICDE | 2023 | Link |
| Fed-SC: One-Shot Federated Subspace Clustering over High-Dimensional Data. | ICDE | 2023 | Link |
| FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge. | ICDE | 2023 | Link |
| Federated IoT Interaction Vulnerability Analysis. | ICDE | 2023 | Link |
| Lumos: Heterogeneity-aware Federated Graph Learning over Decentralized Devices. | ICDE | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| Efficient Participant Contribution Evaluation for Horizontal and Vertical Federated Learning. | ICDE | 2022 | Link |
| Enhancing Federated Learning with In-Cloud Unlabeled Data. | ICDE | 2022 | Link |
| Enhancing Federated Learning with Intelligent Model Migration in Heterogeneous Edge Computing. | ICDE | 2022 | Link |
| FedADMM: A Robust Federated Deep Learning Framework with Adaptivity to System Heterogeneity. | ICDE | 2022 | Link |
| FedMP: Federated Learning through Adaptive Model Pruning in Heterogeneous Edge Computing. | ICDE | 2022 | Link |
| FedRecAttack: Model Poisoning Attack to Federated Recommendation. | ICDE | 2022 | Link |
| Federated Learning on Non-IID Data Silos: An Experimental Study. | ICDE | 2022 | Link |
| Graph-Driven Federated Data Management (Extended Abstract). | ICDE | 2022 | Link |
| Improving Fairness for Data Valuation in Horizontal Federated Learning. | ICDE | 2022 | Link |
| Samba: A System for Secure Federated Multi-Armed Bandits. | ICDE | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| An Efficient Approach for Cross-Silo Federated Learning to Rank. | ICDE | 2021 | Link |
| Efficient Federated-Learning Model Debugging. | ICDE | 2021 | Link |
| Feature Inference Attack on Model Predictions in Vertical Federated Learning. | ICDE | 2021 | Link |
2010
| Title | Venue | Year | Link |
|---|---|---|---|
| A demonstration of the MaxStream federated stream processing system. | ICDE | 2010 | Link |
2002
| Title | Venue | Year | Link |
|---|---|---|---|
| Decoupled Query Optimization for Federated Database Systems. | ICDE | 2002 | Link |
| Demonstration: Active Asynchronous Transaction Management in High-Autonomy Federated Environment Using Data Agents: Global Change Master Directory v8.0. | ICDE | 2002 | Link |
1997
| Title | Venue | Year | Link |
|---|---|---|---|
| Designing the Reengineering Services for the DOK Federated Database System. | ICDE | 1997 | Link |
1995
| Title | Venue | Year | Link |
|---|---|---|---|
| A Universal Relation Approach to Federated Database Management. | ICDE | 1995 | Link |
1994
| Title | Venue | Year | Link |
|---|---|---|---|
| Semantics-Based Multilevel Transaction Management in Federated Systems. | ICDE | 1994 | Link |
1993
| Title | Venue | Year | Link |
|---|---|---|---|
| The Design, Implementation, and Evaluation of an Object-Based Sharing Mechanism for Federated Database Systems. | ICDE | 1993 | Link |
1989
| Title | Venue | Year | Link |
|---|---|---|---|
| Negotiating Data Access in Federated Database Systems. | ICDE | 1989 | Link |
1987
| Title | Venue | Year | Link |
|---|---|---|---|
| An Approach to Schema Integration and Query Formulation in Federated Database Systems. | ICDE | 1987 | Link |
ICDM
Expand ICDM
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| DFDG: Data-Free Dual-Generator Adversarial Distillation for One-Shot Federated Learning. | ICDM | 2024 | Link |
| Enhancing IoT Intrusion Detection through Vertical Federated Learning and Latent Space Mapping. | ICDM | 2024 | Link |
| FGLBA: Enabling Highly-Effective and Stealthy Backdoor Attack on Federated Graph Learning. | ICDM | 2024 | Link |
| Fed-LDR: Federated Local Data-infused Graph Creation with Node-centric Model Refinement. | ICDM | 2024 | Link |
| Handling Non-IID Data in Federated Learning using Metaheuristic Optimization Techniques. | ICDM | 2024 | Link |
| SemiFDA: Domain Adaptation in Semi-Supervised Federated Learning. | ICDM | 2024 | Link |
| Towards Transparent AI-Powered Cybersecurity in Financial Systems: The Deployment of Federated Learning and Explainable AI in the CaixaBank pilot. | ICDM | 2024 | Link |
| Traffic Pattern Sharing for Federated Traffic Flow Prediction with Personalization. | ICDM | 2024 | Link |
| Uncovering Attacks and Defenses in Secure Aggregation for Federated Deep Learning. | ICDM | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| A Federated Multi-Modal Learning Framework Powered by Distributed Ledgers for Cyber-safe and Efficient UAV Delivery Systems. | ICDM | 2023 | Link |
| A Practical Clean-Label Backdoor Attack with Limited Information in Vertical Federated Learning. | ICDM | 2023 | Link |
| An Element-Wise Weights Aggregation Method for Federated Learning. | ICDM | 2023 | Link |
| An Impact Study of Concept Drift in Federated Learning. | ICDM | 2023 | Link |
| BDVFL: Blockchain-based Decentralized Vertical Federated Learning. | ICDM | 2023 | Link |
| Data Quality Aware Hierarchical Federated Reinforcement Learning Framework for Dynamic Treatment Regimes. | ICDM | 2023 | Link |
| Equipping Federated Graph Neural Networks with Structure-aware Group Fairness. | ICDM | 2023 | Link |
| Evolutionary Multi-model Federated Learning on Malicious and Heterogeneous Data. | ICDM | 2023 | Link |
| Exact-Fun: An Exact and Efficient Federated Unlearning Approach. | ICDM | 2023 | Link |
| Fault Detection in Telecom Networks Using Bi-Level Federated Graph Neural Networks. | ICDM | 2023 | Link |
| Fed-mSSA: A Federated Approach for Spatio-Temporal Data Modeling Using Multivariate Singular Spectrum Analysis. | ICDM | 2023 | Link |
| FedDIP: Federated Learning with Extreme Dynamic Pruning and Incremental Regularization. | ICDM | 2023 | Link |
| FedNAT: Byzantine-robust Federated Learning through Activation-based Attention Transfer. | ICDM | 2023 | Link |
| Federated Knowledge Graph Completion via Latent Embedding Sharing and Tensor Factorization. | ICDM | 2023 | Link |
| Federated Learning for Privacy-Preserving Prediction of Occupational Group Mobility Using Multi-Source Mobile Data. | ICDM | 2023 | Link |
| Heterogeneity-aware Cross-school Electives Recommendation: a Hybrid Federated Approach. | ICDM | 2023 | Link |
| Leveraging Federated Learning for Unsecured Loan Risk Assessment on Decentralized Finance Lending Platforms. | ICDM | 2023 | Link |
| Personalized Federated Semi-Supervised Learning with Black-Box Models. | ICDM | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| Contractible Regularization for Federated Learning on Non-IID Data. | ICDM | 2022 | Link |
| FedSkip: Combatting Statistical Heterogeneity with Federated Skip Aggregation. | ICDM | 2022 | Link |
| Federated Fingerprint Learning with Heterogeneous Architectures. | ICDM | 2022 | Link |
| GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs. | ICDM | 2022 | Link |
| Personalized Federated Learning via Heterogeneous Modular Networks. | ICDM | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| Federated Principal Component Analysis for Genome-Wide Association Studies. | ICDM | 2021 | Link |
| Source Inference Attacks in Federated Learning. | ICDM | 2021 | Link |
2020
| Title | Venue | Year | Link |
|---|---|---|---|
| A federated learning based approach for loan defaults prediction. | ICDM | 2020 | Link |
WACV
Expand WACV
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model Aggregation. | WACV | 2025 | Link |
| Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities. | WACV | 2025 | Link |
| Federated Source-Free Domain Adaptation for Classification: Weighted Cluster Aggregation for Unlabeled Data. | WACV | 2025 | Link |
| Federated Voxel Scene Graph for Intracranial Hemorrhage. | WACV | 2025 | Link |
| Federated-Continual Dynamic Segmentation of Histopathology Guided by Barlow Continuity. | WACV | 2025 | Link |
| Identify Backdoored Model in Federated Learning via Individual Unlearning. | WACV | 2025 | Link |
| MLLM-LLaVA-FL: Multimodal Large Language Model Assisted Federated Learning. | WACV | 2025 | Link |
| Navigating Heterogeneity and Privacy in One-Shot Federated Learning with Diffusion Models. | WACV | 2025 | Link |
| Predicting Event Memorability Using Personalized Federated Learning. | WACV | 2025 | Link |
| When Cars Meet Drones: Hyperbolic Federated Learning for Source-Free Domain Adaptation in Adverse Weather. | WACV | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| FedFSLAR: A Federated Learning Framework for Few-shot Action Recognition. | WACV | 2024 | Link |
| Gradient Coreset for Federated Learning. | WACV | 2024 | Link |
| Late to the party? On-demand unlabeled personalized federated learning. | WACV | 2024 | Link |
| Maximum Knowledge Orthogonality Reconstruction with Gradients in Federated Learning. | WACV | 2024 | Link |
| MetaVers: Meta-Learned Versatile Representations for Personalized Federated Learning. | WACV | 2024 | Link |
| Minimizing Layerwise Activation Norm Improves Generalization in Federated Learning. | WACV | 2024 | Link |
| Mixing Gradients in Neural Networks as a Strategy to Enhance Privacy in Federated Learning. | WACV | 2024 | Link |
| TransFed: A way to epitomize Focal Modulation using Transformer-based Federated Learning. | WACV | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| Federated Domain Generalization for Image Recognition via Cross-Client Style Transfer. | WACV | 2023 | Link |
| Federated Learning for Commercial Image Sources. | WACV | 2023 | Link |
| Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning. | WACV | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| Federated Multi-Target Domain Adaptation. | WACV | 2022 | Link |
SIGCOMM
Expand SIGCOMM
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| A Lightweight Emulation Framework for Energy-Aware Federated Learning. | SIGCOMM | 2025 | Link |
| Federated Inference: Towards Collaborative and Privacy-Preserving Inference over Edge Devices. | SIGCOMM | 2025 | Link |
| NEBULA - Decentralized Federated Learning for Heterogeneous Networks. | SIGCOMM | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| dAuth: A Resilient Authentication Architecture for Federated Private Cellular Networks. | SIGCOMM | 2024 | Link |
2015
| Title | Venue | Year | Link |
|---|---|---|---|
| Federated End-to-End Authentication for the Constrained Internet of Things Using IBC and ECC. | SIGCOMM | 2015 | Link |
2011
| Title | Venue | Year | Link |
|---|---|---|---|
| Online testing of federated and heterogeneous distributed systems. | SIGCOMM | 2011 | Link |
INFOCOM
Expand INFOCOM
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| Accelerating Clustered Federated Learning in Dynamic D2D Networks with Transferable GNN. | INFOCOM | 2025 | Link |
| AoI-Aware Federated Unlearning for Streaming Data with Online Client Selection and Pricing. | INFOCOM | 2025 | Link |
| CARE: Compatibility-Aware Incentive Mechanisms for Federated Learning with Budgeted Requesters. | INFOCOM | 2025 | Link |
| Combating Deep Leakage from Gradients in Cross-Silo Federated Learning with QKD. | INFOCOM | 2025 | Link |
| Constrained Over-the-Air Model Updating for Wireless Online Federated Learning with Delayed Information. | INFOCOM | 2025 | Link |
| ElasticFed: Collaborative Large-Small Transformer Training for Federated Continual Learning at Edge. | INFOCOM | 2025 | Link |
| FLM-TopK: Expediting Federated Large Language Model Tuning by Sparsifying Intervalized Gradients. | INFOCOM | 2025 | Link |
| FedEXT: Differential Federated Learning with Complementary Extension of Edge Models. | INFOCOM | 2025 | Link |
| FedFetch: Faster Federated Learning with Adaptive Downstream Prefetching. | INFOCOM | 2025 | Link |
| FedGPA: Federated Learning with Global-Personalized Collaboration for Edge Anomaly Detection. | INFOCOM | 2025 | Link |
| FedUFD: Personalized Edge Computing Using Federated Uncertainty-Driven Feature Distillation. | INFOCOM | 2025 | Link |
| Federated Adaptive Fine-Tuning of Large Language Models with Heterogeneous Quantization and LoRA. | INFOCOM | 2025 | Link |
| GeoFL: A Framework for Efficient Geo-Distributed Cross-Device Federated Learning. | INFOCOM | 2025 | Link |
| Input Integrity and Authentic Results: Towards Trustworthy Aggregation in Federated Learning. | INFOCOM | 2025 | Link |
| LCO-AGQ: A Lightweight Client-Oriented Adaptive Gradient Quantization Algorithm for Federated Learning. | INFOCOM | 2025 | Link |
| Lightweight Federated Learning with Differential Privacy and Straggler Resilience. | INFOCOM | 2025 | Link |
| PSFL: Parallel-Sequential Federated Learning with Convergence Guarantees. | INFOCOM | 2025 | Link |
| Preference Profiling Attacks Against Vertical Federated Learning Over Graph Data. | INFOCOM | 2025 | Link |
| Similarity-Guided Rapid Deployment of Federated Intelligence Over Heterogeneous Edge Computing. | INFOCOM | 2025 | Link |
| Towards Federated Inference: An Online Model Ensemble Framework for Cooperative Edge AI. | INFOCOM | 2025 | Link |
| VaniKG: Vanishing Key Gradient Attack and Defense for Robust Federated Aggregation. | INFOCOM | 2025 | Link |
| γ-FedHT: Stepsize-Aware Hard-Threshold Gradient Compression in Federated Learning. | INFOCOM | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| A Data Reconstruction Attack Against Vertical Federated Learning Based on Knowledge Transfer. | INFOCOM | 2024 | Link |
| A Semi-Asynchronous Decentralized Federated Learning Framework via Tree-Graph Blockchain. | INFOCOM | 2024 | Link |
| ASR-FED: Agnostic Straggler Resilient Federated Algorithm for Drone Networks Security. | INFOCOM | 2024 | Link |
| AeroRec: An Efficient On-Device Recommendation Framework using Federated Self-Supervised Knowledge Distillation. | INFOCOM | 2024 | Link |
| Agglomerative Federated Learning: Empowering Larger Model Training via End-Edge-Cloud Collaboration. | INFOCOM | 2024 | Link |
| BR-DeFedRL: Byzantine-Robust Decentralized Federated Reinforcement Learning with Fast Convergence and Communication Efficiency. | INFOCOM | 2024 | Link |
| Breaking Secure Aggregation: Label Leakage from Aggregated Gradients in Federated Learning. | INFOCOM | 2024 | Link |
| Cascade: Enhancing Reinforcement Learning with Curriculum Federated Learning and Interference Avoidance - A Case Study in Adaptive Bitrate Selection. | INFOCOM | 2024 | Link |
| DPBalance: Efficient and Fair Privacy Budget Scheduling for Federated Learning as a Service. | INFOCOM | 2024 | Link |
| Decentralized Federated Learning Under Free-riders: Credibility Analysis. | INFOCOM | 2024 | Link |
| Designing Robust 6G Networks with Bimodal Distribution for Decentralized Federated Learning. | INFOCOM | 2024 | Link |
| Distributed Link Heterogeneity Exploitation for Attention-Weighted Robust Federated Learning in 6G Networks. | INFOCOM | 2024 | Link |
| Efficient Adapting for Vision-language Foundation Model in Edge Computing Based on Personalized and Multi-Granularity Federated Learning. | INFOCOM | 2024 | Link |
| Efficient Client Sampling with Compression in Heterogeneous Federated Learning. | INFOCOM | 2024 | Link |
| Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning. | INFOCOM | 2024 | Link |
| Expediting In-Network Federated Learning by Voting-Based Consensus Model Compression. | INFOCOM | 2024 | Link |
| FairFed: Improving Fairness and Efficiency of Contribution Evaluation in Federated Learning via Cooperative Shapley Value. | INFOCOM | 2024 | Link |
| Fed-CVLC: Compressing Federated Learning Communications with Variable-Length Codes. | INFOCOM | 2024 | Link |
| FedBF16-Dynamic: Communication-Efficient Federated Learning with Adaptive Transmission. | INFOCOM | 2024 | Link |
| FedTC: Enabling Communication-Efficient Federated Learning via Transform Coding. | INFOCOM | 2024 | Link |
| Federated Analytics-Empowered Frequent Pattern Mining for Decentralized Web 3.0 Applications. | INFOCOM | 2024 | Link |
| Federated Distributed Deep Reinforcement Learning for Recommendation-enabled Edge Caching. | INFOCOM | 2024 | Link |
| Federated Learning Based Integrated Sensing, Communications, and Powering Over 6G Massive-MIMO Mobile Networks. | INFOCOM | 2024 | Link |
| Federated Learning While Providing Model as a Service: Joint Training and Inference Optimization. | INFOCOM | 2024 | Link |
| Federated Learning for Energy-efficient Cooperative Perception in Connected and Autonomous Vehicles. | INFOCOM | 2024 | Link |
| Federated Learning-Based Cooperative Model Training for Task-Oriented Semantic Communication. | INFOCOM | 2024 | Link |
| Federated Offline Policy Optimization with Dual Regularization. | INFOCOM | 2024 | Link |
| Fedkit: Enabling Cross-Platform Federated Learning for Android and iOS. | INFOCOM | 2024 | Link |
| GAN-Based Privacy Abuse Attack on Federated Learning in IoT Networks. | INFOCOM | 2024 | Link |
| GraphProxy: Communication-Efficient Federated Graph Learning with Adaptive Proxy. | INFOCOM | 2024 | Link |
| Heroes: Lightweight Federated Learning with Neural Composition and Adaptive Local Update in Heterogeneous Edge Networks. | INFOCOM | 2024 | Link |
| Joint Client Selection and Privacy Compensation for Differentially Private Federated Learning. | INFOCOM | 2024 | Link |
| Joint Optimization of Charging Time and Resource Allocation in Wireless Power Transfer Assisted Federated Learning. | INFOCOM | 2024 | Link |
| Momentum-Based Federated Reinforcement Learning with Interaction and Communication Efficiency. | INFOCOM | 2024 | Link |
| Reputation-Aware Scheduling for Secure Internet of Drones: A Federated Multi-Agent Deep Reinforcement Learning Approach. | INFOCOM | 2024 | Link |
| SpreadFGL: Edge-Client Collaborative Federated Graph Learning with Adaptive Neighbor Generation. | INFOCOM | 2024 | Link |
| Strategic Data Revocation in Federated Unlearning. | INFOCOM | 2024 | Link |
| Titanic: Towards Production Federated Learning with Large Language Models. | INFOCOM | 2024 | Link |
| Tomtit: Hierarchical Federated Fine-Tuning of Giant Models based on Autonomous Synchronization. | INFOCOM | 2024 | Link |
| Towards Efficient Asynchronous Federated Learning in Heterogeneous Edge Environments. | INFOCOM | 2024 | Link |
| TrustBandit: Optimizing Client Selection for Robust Federated Learning Against Poisoning Attacks. | INFOCOM | 2024 | Link |
| Two-Timescale Energy Optimization for Wireless Federated Learning. | INFOCOM | 2024 | Link |
| Unbiased Federated Learning for Heterogeneous Data Under Unreliable Links. | INFOCOM | 2024 | Link |
| Wireless Hierarchical Federated Aggregation Weights Design with Loss-Based-Heterogeneity. | INFOCOM | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| A Hierarchical Knowledge Transfer Framework for Heterogeneous Federated Learning. | INFOCOM | 2023 | Link |
| A Reinforcement Learning Approach for Minimizing Job Completion Time in Clustered Federated Learning. | INFOCOM | 2023 | Link |
| AOCC-FL: Federated Learning with Aligned Overlapping via Calibrated Compensation. | INFOCOM | 2023 | Link |
| Adaptive Configuration for Heterogeneous Participants in Decentralized Federated Learning. | INFOCOM | 2023 | Link |
| AnycostFL: Efficient On-Demand Federated Learning over Heterogeneous Edge Devices. | INFOCOM | 2023 | Link |
| Asynchronous Federated Unlearning. | INFOCOM | 2023 | Link |
| Communication-Efficient Federated Learning for Heterogeneous Edge Devices Based on Adaptive Gradient Quantization. | INFOCOM | 2023 | Link |
| Enabling Communication-Efficient Federated Learning via Distributed Compressed Sensing. | INFOCOM | 2023 | Link |
| FedMoS: Taming Client Drift in Federated Learning with Double Momentum and Adaptive Selection. | INFOCOM | 2023 | Link |
| FedSDG-FS: Efficient and Secure Feature Selection for Vertical Federated Learning. | INFOCOM | 2023 | Link |
| Federated Learning under Heterogeneous and Correlated Client Availability. | INFOCOM | 2023 | Link |
| Federated Learning with Flexible Control. | INFOCOM | 2023 | Link |
| Federated PCA on Grassmann Manifold for Anomaly Detection in IoT Networks. | INFOCOM | 2023 | Link |
| Heterogeneity-Aware Federated Learning with Adaptive Client Selection and Gradient Compression. | INFOCOM | 2023 | Link |
| Joint Edge Aggregation and Association for Cost-Efficient Multi-Cell Federated Learning. | INFOCOM | 2023 | Link |
| Joint Participation Incentive and Network Pricing Design for Federated Learning. | INFOCOM | 2023 | Link |
| More than Enough is Too Much: Adaptive Defenses against Gradient Leakage in Production Federated Learning. | INFOCOM | 2023 | Link |
| Network Adaptive Federated Learning: Congestion and Lossy Compression. | INFOCOM | 2023 | Link |
| Oblivion: Poisoning Federated Learning by Inducing Catastrophic Forgetting. | INFOCOM | 2023 | Link |
| Privacy as a Resource in Differentially Private Federated Learning. | INFOCOM | 2023 | Link |
| SVDFed: Enabling Communication-Efficient Federated Learning via Singular-Value-Decomposition. | INFOCOM | 2023 | Link |
| SplitGP: Achieving Both Generalization and Personalization in Federated Learning. | INFOCOM | 2023 | Link |
| TVFL: Tunable Vertical Federated Learning towards Communication-Efficient Model Serving. | INFOCOM | 2023 | Link |
| Tackling System Induced Bias in Federated Learning: Stratification and Convergence Analysis. | INFOCOM | 2023 | Link |
| Toward Sustainable AI: Federated Learning Demand Response in Cloud-Edge Systems via Auctions. | INFOCOM | 2023 | Link |
| Truthful Incentive Mechanism for Federated Learning with Crowdsourced Data Labeling. | INFOCOM | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| A Profit-Maximizing Model Marketplace with Differentially Private Federated Learning. | INFOCOM | 2022 | Link |
| Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization. | INFOCOM | 2022 | Link |
| FLASH: Federated Learning for Automated Selection of High-band mmWave Sectors. | INFOCOM | 2022 | Link |
| FedFPM: A Unified Federated Analytics Framework for Collaborative Frequent Pattern Mining. | INFOCOM | 2022 | Link |
| Joint Superposition Coding and Training for Federated Learning over Multi-Width Neural Networks. | INFOCOM | 2022 | Link |
| Optimal Rate Adaption in Federated Learning with Compressed Communications. | INFOCOM | 2022 | Link |
| Protect Privacy from Gradient Leakage Attack in Federated Learning. | INFOCOM | 2022 | Link |
| Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling. | INFOCOM | 2022 | Link |
| The Right to be Forgotten in Federated Learning: An Efficient Realization with Rapid Retraining. | INFOCOM | 2022 | Link |
| Towards Optimal Multi-Modal Federated Learning on Non-IID Data with Hierarchical Gradient Blending. | INFOCOM | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| An Incentive Mechanism for Cross-Silo Federated Learning: A Public Goods Perspective. | INFOCOM | 2021 | Link |
| Cost-Effective Federated Learning Design. | INFOCOM | 2021 | Link |
| Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation. | INFOCOM | 2021 | Link |
| Dual Attention-Based Federated Learning for Wireless Traffic Prediction. | INFOCOM | 2021 | Link |
| FAIR: Quality-Aware Federated Learning with Precise User Incentive and Model Aggregation. | INFOCOM | 2021 | Link |
| FedSens: A Federated Learning Approach for Smart Health Sensing with Class Imbalance in Resource Constrained Edge Computing. | INFOCOM | 2021 | Link |
| FedServing: A Federated Prediction Serving Framework Based on Incentive Mechanism. | INFOCOM | 2021 | Link |
| Federated Learning over Wireless Networks: A Band-limited Coordinated Descent Approach. | INFOCOM | 2021 | Link |
| Learning for Learning: Predictive Online Control of Federated Learning with Edge Provisioning. | INFOCOM | 2021 | Link |
| P-FedAvg: Parallelizing Federated Learning with Theoretical Guarantees. | INFOCOM | 2021 | Link |
| Resource-Efficient Federated Learning with Hierarchical Aggregation in Edge Computing. | INFOCOM | 2021 | Link |
| Sample-level Data Selection for Federated Learning. | INFOCOM | 2021 | Link |
| To Talk or to Work: Flexible Communication Compression for Energy Efficient Federated Learning over Heterogeneous Mobile Edge Devices. | INFOCOM | 2021 | Link |
2020
| Title | Venue | Year | Link |
|---|---|---|---|
| Enabling Execution Assurance of Federated Learning at Untrusted Participants. | INFOCOM | 2020 | Link |
| Optimizing Federated Learning on Non-IID Data with Reinforcement Learning. | INFOCOM | 2020 | Link |
| Physical-Layer Arithmetic for Federated Learning in Uplink MU-MIMO Enabled Wireless Networks. | INFOCOM | 2020 | Link |
2019
| Title | Venue | Year | Link |
|---|---|---|---|
| Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning. | INFOCOM | 2019 | Link |
| Federated Learning over Wireless Networks: Optimization Model Design and Analysis. | INFOCOM | 2019 | Link |
2015
| Title | Venue | Year | Link |
|---|---|---|---|
| Anti-counterfeiting via federated RFID tags' fingerprints and geometric relationships. | INFOCOM | 2015 | Link |
2009
| Title | Venue | Year | Link |
|---|---|---|---|
| Application-Specific, Agile and Private (ASAP) Platforms for Federated Computing Services over WDM Networks. | INFOCOM | 2009 | Link |
MobiCom
Expand MobiCom
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| Poster: Asynchronous Federated Learning Library and Benchmark with AFL-Lib. | MobiCom | 2025 | Link |
| Poster: BlockFL-Med: Blockchain-Enabled and Lightweight Federated Learning for Smart Medical Spaces. | MobiCom | 2025 | Link |
| Poster: FedFNS: A Robust Federated Learning Method for Data Shift over Unreliable Communication Links. | MobiCom | 2025 | Link |
| Poster: Learning to Personalize in Federated Networks with Contribution-Aware Aggregation. | MobiCom | 2025 | Link |
| When Device Delays Meet Data Heterogeneity in Federated AIoT Applications. | MobiCom | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| A Client Detection and Parameter Correction Algorithm for Clustering Defense in Clustered Federated Learning. | MobiCom | 2024 | Link |
| ADMarker: A Multi-Modal Federated Learning System for Monitoring Digital Biomarkers of Alzheimer's Disease. | MobiCom | 2024 | Link |
| Exploring Visual Explanations for Defending Federated Learning against Poisoning Attacks. | MobiCom | 2024 | Link |
| Federated Black-box Prompt Tuning System for Large Language Models on the Edge. | MobiCom | 2024 | Link |
| Joint Horizontal and Vertical Federated Learning for Multimodal IoT. | MobiCom | 2024 | Link |
| LATTE: Layer Algorithm-aware Training Time Estimation for Heterogeneous Federated Learning. | MobiCom | 2024 | Link |
| ParallelSFL: A Novel Split Federated Learning Framework Tackling Heterogeneity Issues. | MobiCom | 2024 | Link |
| Proximal Federated Learning for Body Mass Index Monitoring using Commodity WiFi. | MobiCom | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| AutoFed: Heterogeneity-Aware Federated Multimodal Learning for Robust Autonomous Driving. | MobiCom | 2023 | Link |
| Efficient Federated Learning for Modern NLP. | MobiCom | 2023 | Link |
| Federated Few-Shot Learning for Mobile NLP. | MobiCom | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| FedHD: federated learning with hyperdimensional computing. | MobiCom | 2022 | Link |
| Federated learning-based air quality prediction for smart cities using BGRU model. | MobiCom | 2022 | Link |
| NestFL: efficient federated learning through progressive model pruning in heterogeneous edge computing. | MobiCom | 2022 | Link |
| PyramidFL: a fine-grained client selection framework for efficient federated learning. | MobiCom | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| Federated mobile sensing for activity recognition. | MobiCom | 2021 | Link |
| Hermes: an efficient federated learning framework for heterogeneous mobile clients. | MobiCom | 2021 | Link |
2020
| Title | Venue | Year | Link |
|---|---|---|---|
| Billion-scale federated learning on mobile clients: a submodel design with tunable privacy. | MobiCom | 2020 | Link |
2013
| Title | Venue | Year | Link |
|---|---|---|---|
| Online evaluation of sensing characteristics for radio platforms in the CREW federated testbed. | MobiCom | 2013 | Link |
NSDI
Expand NSDI
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| PAPAYA Federated Analytics Stack: Engineering Privacy, Scalability and Practicality. | NSDI | 2025 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| FLASH: Towards a High-performance Hardware Acceleration Architecture for Cross-silo Federated Learning. | NSDI | 2023 | Link |
2019
| Title | Venue | Year | Link |
|---|---|---|---|
| Hydra: a federated resource manager for data-center scale analytics. | NSDI | 2019 | Link |
2004
| Title | Venue | Year | Link |
|---|---|---|---|
| Contract-Based Load Management in Federated Distributed Systems. | NSDI | 2004 | Link |
WWW
Expand WWW
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| A Fairer Client Selection Framework for Federated Internet of Things: Equality, Equity, and Trade-off Perspectives. | WWW | 2025 | Link |
| A Tutorial of Personalized Federated Recommender Systems: Recent Advances and Future Directions. | WWW | 2025 | Link |
| Aegis: Post-Training Attribute Unlearning in Federated Recommender Systems against Attribute Inference Attacks. | WWW | 2025 | Link |
| Blockchain-based Framework for Scalable and Incentivized Federated Learning. | WWW | 2025 | Link |
| Byzantine-Robust Federated Learning over Ring-All-Reduce Distributed Computing. | WWW | 2025 | Link |
| Dealing with Noisy Data in Federated Learning: An Incentive Mechanism with Flexible Pricing. | WWW | 2025 | Link |
| Decentralized and Policy-Aware Serverless Orchestration for the Federated Web. | WWW | 2025 | Link |
| Empowering Federated Graph Rationale Learning with Latent Environments. | WWW | 2025 | Link |
| FL@FM-TheWebConf'25: International Workshop on Federated Foundation Models for the Web 2025. | WWW | 2025 | Link |
| FLock: Robust and Privacy-Preserving Federated Learning based on Practical Blockchain State Channels. | WWW | 2025 | Link |
| FedEDM: Federated Equivariant Diffusion Model for 3D Molecule Generation with Enhanced Communication Efficiency. | WWW | 2025 | Link |
| FedKDShap: Enhancing Federated Learning via Shapley Values Driven Knowledge Distillation on Non-IID Data. | WWW | 2025 | Link |
| FedMobile: Enabling Knowledge Contribution-aware Multi-modal Federated Learning with Incomplete Modalities. | WWW | 2025 | Link |
| FedRIR: Rethinking Information Representation in Federated Learning. | WWW | 2025 | Link |
| FedSTG: Breaking through Spatio-Temporal Data Silos with Federated Graph Learning. | WWW | 2025 | Link |
| Federated Fine-Tuning of Large Language Models: Kahneman-Tversky vs. Direct Preference Optimization. | WWW | 2025 | Link |
| Federated Graph Anomaly Detection via Disentangled Representation Learning. | WWW | 2025 | Link |
| Federated Intelligence in Web: A Tutorial. | WWW | 2025 | Link |
| Horizontal Federated Heterogeneous Graph Learning: A Multi-Scale Adaptive Solution to Data Distribution Challenges. | WWW | 2025 | Link |
| Maverick: Personalized Edge-Assisted Federated Learning with Contrastive Training. | WWW | 2025 | Link |
| MoCFL: Mobile Cluster Federated Learning Framework for Highly Dynamic Network. | WWW | 2025 | Link |
| NI-GDBA: Non-Intrusive Distributed Backdoor Attack Based on Adaptive Perturbation on Federated Graph Learning. | WWW | 2025 | Link |
| P4GCN: Vertical Federated Social Recommendation with Privacy-Preserving Two-Party Graph Convolution Network. | WWW | 2025 | Link |
| PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning. | WWW | 2025 | Link |
| Personalized Federated Recommendation for Cold-Start Users via Adaptive Knowledge Fusion. | WWW | 2025 | Link |
| Poisoning Attacks and Defenses to Federated Unlearning. | WWW | 2025 | Link |
| Provably Robust Federated Reinforcement Learning. | WWW | 2025 | Link |
| Quantifying Individual Fairness in Continual Federated Learning. | WWW | 2025 | Link |
| ReSLLM: Large Language Models are Strong Resource Selectors for Federated Search. | WWW | 2025 | Link |
| Subgraph Federated Unlearning. | WWW | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| Accelerating the Decentralized Federated Learning via Manipulating Edges. | WWW | 2024 | Link |
| An Investigation into the Feasibility of Performing Federated Learning on Social Linked Data Servers. | WWW | 2024 | Link |
| BlockDFL: A Blockchain-based Fully Decentralized Peer-to-Peer Federated Learning Framework. | WWW | 2024 | Link |
| Cardinality Counting in "Alcatraz": A Privacy-aware Federated Learning Approach. | WWW | 2024 | Link |
| Co-clustering for Federated Recommender System. | WWW | 2024 | Link |
| Detecting Poisoning Attacks on Federated Learning Using Gradient-Weighted Class Activation Mapping. | WWW | 2024 | Link |
| Exploring Representational Similarity Analysis to Protect Federated Learning from Data Poisoning. | WWW | 2024 | Link |
| FL@FM-TheWebConf'24: International Workshop on Federated Foundation Models for the Web. | WWW | 2024 | Link |
| FedDSE: Distribution-aware Sub-model Extraction for Federated Learning over Resource-constrained Devices. | WWW | 2024 | Link |
| FedHLT: Efficient Federated Low-Rank Adaption with Hierarchical Language Tree for Multilingual Modeling. | WWW | 2024 | Link |
| Federated Heterogeneous Graph Neural Network for Privacy-preserving Recommendation. | WWW | 2024 | Link |
| Federated Learning Vulnerabilities: Privacy Attacks with Denoising Diffusion Probabilistic Models. | WWW | 2024 | Link |
| Federated Learning in Large Model Era: Vision-Language Model for Smart City Safety Operation Management. | WWW | 2024 | Link |
| Fediscount: Shopping Online at a Federated Store Using FedUP as SPARQL Federation Engine. | WWW | 2024 | Link |
| GradFilt: Class-wise Targeted Data Reconstruction from Gradients in Federated Learning. | WWW | 2024 | Link |
| HBIAS FedAvg: Smooth Federated Learning Transition for In-use Edge Models. | WWW | 2024 | Link |
| How Few Davids Improve One Goliath: Federated Learning in Resource-Skewed Edge Computing Environments. | WWW | 2024 | Link |
| Incentive and Dynamic Client Selection for Federated Unlearning. | WWW | 2024 | Link |
| Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation. | WWW | 2024 | Link |
| PAGE: Equilibrate Personalization and Generalization in Federated Learning. | WWW | 2024 | Link |
| Phoenix: A Federated Generative Diffusion Model. | WWW | 2024 | Link |
| Poisoning Attack on Federated Knowledge Graph Embedding. | WWW | 2024 | Link |
| Poisoning Federated Recommender Systems with Fake Users. | WWW | 2024 | Link |
| Privacy-Preserving and Fairness-Aware Federated Learning for Critical Infrastructure Protection and Resilience. | WWW | 2024 | Link |
| Prompt-enhanced Federated Content Representation Learning for Cross-domain Recommendation. | WWW | 2024 | Link |
| Robust Federated Learning Mitigates Client-side Training Data Distribution Inference Attacks. | WWW | 2024 | Link |
| Towards Efficient Communication and Secure Federated Recommendation System via Low-rank Training. | WWW | 2024 | Link |
| Towards Energy-efficient Federated Learning via INT8-based Training on Mobile DSPs. | WWW | 2024 | Link |
| Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation. | WWW | 2024 | Link |
| When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions. | WWW | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| 1st Workshop on Federated Learning Technologies. | WWW | 2023 | Link |
| A Federated Learning Benchmark for Drug-Target Interaction. | WWW | 2023 | Link |
| A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness and Privacy. | WWW | 2023 | Link |
| AgrEvader: Poisoning Membership Inference against Byzantine-robust Federated Learning. | WWW | 2023 | Link |
| FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot Detection. | WWW | 2023 | Link |
| FedEdge: Accelerating Edge-Assisted Federated Learning. | WWW | 2023 | Link |
| Federated Learning for Metaverse: A Survey. | WWW | 2023 | Link |
| Federated Node Classification over Graphs with Latent Link-type Heterogeneity. | WWW | 2023 | Link |
| FlexiFed: Personalized Federated Learning for Edge Clients with Heterogeneous Model Architectures. | WWW | 2023 | Link |
| Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning. | WWW | 2023 | Link |
| Interaction-level Membership Inference Attack Against Federated Recommender Systems. | WWW | 2023 | Link |
| Privacy-Preserving Online Content Moderation with Federated Learning. | WWW | 2023 | Link |
| Privacy-Preserving Online Content Moderation: A Federated Learning Use Case. | WWW | 2023 | Link |
| Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding. | WWW | 2023 | Link |
| Semi-decentralized Federated Ego Graph Learning for Recommendation. | WWW | 2023 | Link |
| To Store or Not? Online Data Selection for Federated Learning with Limited Storage. | WWW | 2023 | Link |
| Towards a Decentralized Data Hub and Query System for Federated Dynamic Data Spaces. | WWW | 2023 | Link |
| Understanding the Impact of Label Skewness and Optimization on Federated Learning for Text Classification. | WWW | 2023 | Link |
| Vertical Federated Knowledge Transfer via Representation Distillation for Healthcare Collaboration Networks. | WWW | 2023 | Link |
| pFedPrompt: Learning Personalized Prompt for Vision-Language Models in Federated Learning. | WWW | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| An Accuracy-Lossless Perturbation Method for Defending Privacy Attacks in Federated Learning. | WWW | 2022 | Link |
| FedKC: Federated Knowledge Composition for Multilingual Natural Language Understanding. | WWW | 2022 | Link |
| Federated SPARQL Query Processing over Heterogeneous Linked Data Fragments. | WWW | 2022 | Link |
| Federated Unlearning via Class-Discriminative Pruning. | WWW | 2022 | Link |
| Powering Multi-Task Federated Learning with Competitive GPU Resource Sharing. | WWW | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| Characterizing Impacts of Heterogeneity in Federated Learning upon Large-Scale Smartphone Data. | WWW | 2021 | Link |
| Communication Efficient Federated Generalized Tensor Factorization for Collaborative Health Data Analytics. | WWW | 2021 | Link |
| Hierarchical Personalized Federated Learning for User Modeling. | WWW | 2021 | Link |
| Incentive Mechanism for Horizontal Federated Learning Based on Reputation and Reverse Auction. | WWW | 2021 | Link |
| Meta-HAR: Federated Representation Learning for Human Activity Recognition. | WWW | 2021 | Link |
| PFA: Privacy-preserving Federated Adaptation for Effective Model Personalization. | WWW | 2021 | Link |
2018
| Title | Venue | Year | Link |
|---|---|---|---|
| FIESTAIoT Project: Federated Interoperable Semantic IoT/cloud Testbeds and Applications. | WWW | 2018 | Link |
2016
| Title | Venue | Year | Link |
|---|---|---|---|
| FuhSen: A Platform for Federated, RDF-based Hybrid Search. | WWW | 2016 | Link |
2015
| Title | Venue | Year | Link |
|---|---|---|---|
| Dataset Descriptions for Optimizing Federated Querying. | WWW | 2015 | Link |
| FedWeb Greatest Hits: Presenting the New Test Collection for Federated Web Search. | WWW | 2015 | Link |
2012
| Title | Venue | Year | Link |
|---|---|---|---|
| A revenue sharing mechanism for federated search and advertising. | WWW | 2012 | Link |
| Building reputation and trust using federated search and opinion mining. | WWW | 2012 | Link |
2011
| Title | Venue | Year | Link |
|---|---|---|---|
| Model characterization curves for federated search using click-logs: predicting user engagement metrics for the span of feasible operating points. | WWW | 2011 | Link |
2006
| Title | Venue | Year | Link |
|---|---|---|---|
| Capturing the essentials of federated systems. | WWW | 2006 | Link |
2005
| Title | Venue | Year | Link |
|---|---|---|---|
| A modeling approach to federated identity and access management. | WWW | 2005 | Link |
OSDI
Expand OSDI
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| Oort: Efficient Federated Learning via Guided Participant Selection. | OSDI | 2021 | Link |
2002
| Title | Venue | Year | Link |
|---|---|---|---|
| FARSITE: Federated, Available, and Reliable Storage for an Incompletely Trusted Environment. | OSDI | 2002 | Link |
SOSP
Expand SOSP
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| Arboretum: A Planner for Large-Scale Federated Analytics with Differential Privacy. | SOSP | 2023 | Link |
2005
| Title | Venue | Year | Link |
|---|---|---|---|
| Distributed operating system for resource discovery and allocation in federated clusters. | SOSP | 2005 | Link |
ISCA
Expand ISCA
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| Flagger: Cooperative Acceleration for Large-Scale Cross-Silo Federated Learning Aggregation. | ISCA | 2024 | Link |
MLSys
Expand MLSys
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| FLStore: Efficient Federated Learning Storage for non-training workloads. | MLSys | 2025 | Link |
| FedProphet: Memory-Efficient Federated Adversarial Training via Robust and Consistent Cascade Learning. | MLSys | 2025 | Link |
| Photon: Federated LLM Pre-Training. | MLSys | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| FedTrans: Efficient Federated Learning via Multi-Model Transformation. | MLSys | 2024 | Link |
| HeteroSwitch: Characterizing and Taming System-Induced Data Heterogeneity in Federated Learning. | MLSys | 2024 | Link |
| LIFL: A Lightweight, Event-driven Serverless Platform for Federated Learning. | MLSys | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| FLINT: A Platform for Federated Learning Integration. | MLSys | 2023 | Link |
| FedTree: A Federated Learning System For Trees. | MLSys | 2023 | Link |
| GlueFL: Reconciling Client Sampling and Model Masking for Bandwidth Efficient Federated Learning. | MLSys | 2023 | Link |
| On Noisy Evaluation in Federated Hyperparameter Tuning. | MLSys | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning. | MLSys | 2022 | Link |
| PAPAYA: Practical, Private, and Scalable Federated Learning. | MLSys | 2022 | Link |
2020
| Title | Venue | Year | Link |
|---|---|---|---|
| Federated Optimization in Heterogeneous Networks. | MLSys | 2020 | Link |
DAC
Expand DAC
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| FedEDA: Federated Learning Framework for Privacy-Preserving Machine Learning in EDA. | DAC | 2025 | Link |
| MMDFL: Multi-Model-based Decentralized Federated Learning for Resource-Constrained AIoT Systems. | DAC | 2025 | Link |
| PracMHBench: Re-evaluating Model-Heterogeneous Federated Learning Based on Practical Edge Device Constraints. | DAC | 2025 | Link |
| Resilient Federated Learning on Embedded Devices with Constrained Network Connectivity. | DAC | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| AdaptiveFL: Adaptive Heterogeneous Federated Learning for Resource-Constrained AIoT Systems. | DAC | 2024 | Link |
| Fake Node-Based Perception Poisoning Attacks against Federated Object Detection Learning in Mobile Computing Networks. | DAC | 2024 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| FHDnn: communication efficient and robust federated learning for AIoT networks. | DAC | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| FedLight: Federated Reinforcement Learning for Autonomous Multi-Intersection Traffic Signal Control. | DAC | 2021 | Link |
| HADFL: Heterogeneity-aware Decentralized Federated Learning Framework. | DAC | 2021 | Link |
| Helios: Heterogeneity-Aware Federated Learning with Dynamically Balanced Collaboration. | DAC | 2021 | Link |
2014
| Title | Venue | Year | Link |
|---|---|---|---|
| Design and Implementation of a Dynamic Component Model for Federated AUTOSAR Systems. | DAC | 2014 | Link |
SP
Expand SP
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| An Interactive Framework for Implementing Privacy-Preserving Federated Learning: Experiments on Large Language Models. | SP | 2025 | Link |
| FedTilt: Towards Multi-Level Fairness-Preserving and Robust Federated Learning. | SP | 2025 | Link |
| Not All Edges are Equally Robust: Evaluating the Robustness of Ranking-Based Federated Learning. | SP | 2025 | Link |
| Practical Poisoning Attacks with Limited Byzantine Clients in Clustered Federated Learning. | SP | 2025 | Link |
| Privacy-Preserving Mutual Authentication Protocol for Federated Learning in Intelligent Transportation Systems. | SP | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| A Performance Analysis for Confidential Federated Learning. | SP | 2024 | Link |
| BadVFL: Backdoor Attacks in Vertical Federated Learning. | SP | 2024 | Link |
| FLShield: A Validation Based Federated Learning Framework to Defend Against Poisoning Attacks. | SP | 2024 | Link |
| LayerDBA: Circumventing Similarity-Based Defenses in Federated Learning. | SP | 2024 | Link |
| Loki: Large-scale Data Reconstruction Attack against Federated Learning through Model Manipulation. | SP | 2024 | Link |
| Poster: Towards Privacy-Preserving Federated Recommendation via Synthetic Interactions. | SP | 2024 | Link |
| Protecting Label Distribution in Cross-Silo Federated Learning. | SP | 2024 | Link |
| SHERPA: Explainable Robust Algorithms for Privacy-Preserved Federated Learning in Future Networks to Defend Against Data Poisoning Attacks. | SP | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| 3DFed: Adaptive and Extensible Framework for Covert Backdoor Attack in Federated Learning. | SP | 2023 | Link |
| BayBFed: Bayesian Backdoor Defense for Federated Learning. | SP | 2023 | Link |
| ELSA: Secure Aggregation for Federated Learning with Malicious Actors. | SP | 2023 | Link |
| FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical Information. | SP | 2023 | Link |
| Flamingo: Multi-Round Single-Server Secure Aggregation with Applications to Private Federated Learning. | SP | 2023 | Link |
| On the Pitfalls of Security Evaluation of Robust Federated Learning. | SP | 2023 | Link |
| RoFL: Robustness of Secure Federated Learning. | SP | 2023 | Link |
| SafeFL: MPC-friendly Framework for Private and Robust Federated Learning. | SP | 2023 | Link |
| Scalable and Privacy-Preserving Federated Principal Component Analysis. | SP | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Production Federated Learning. | SP | 2022 | Link |
| SNARKBlock: Federated Anonymous Blocklisting from Hidden Common Input Aggregate Proofs. | SP | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| SAFELearn: Secure Aggregation for private FEderated Learning. | SP | 2021 | Link |
IEEE Symposium on Security and Privacy Workshops
Expand IEEE Symposium on Security and Privacy Workshops
2019
| Title | Venue | Year | Link |
|---|---|---|---|
| IOTFLA : A Secured and Privacy-Preserving Smart Home Architecture Implementing Federated Learning. | IEEE Symposium on Security and Privacy Workshops | 2019 | Link |
2015
| Title | Venue | Year | Link |
|---|---|---|---|
| Privacy by Design in Federated Identity Management. | IEEE Symposium on Security and Privacy Workshops | 2015 | Link |
IEEE Symposium on Security and Privacy
Expand IEEE Symposium on Security and Privacy
2019
| Title | Venue | Year | Link |
|---|---|---|---|
| Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning. | IEEE Symposium on Security and Privacy | 2019 | Link |
USENIX Security Symposium
Expand USENIX Security Symposium
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| DP-BREM: Differentially-Private and Byzantine-Robust Federated Learning with Client Momentum. | USENIX Security Symposium | 2025 | Link |
| FastLloyd: Federated, Accurate, Secure, and Tunable k-Means Clustering with Differential Privacy. | USENIX Security Symposium | 2025 | Link |
| From Risk to Resilience: Towards Assessing and Mitigating the Risk of Data Reconstruction Attacks in Federated Learning. | USENIX Security Symposium | 2025 | Link |
| PoiSAFL: Scalable Poisoning Attack Framework to Byzantine-resilient Semi-asynchronous Federated Learning. | USENIX Security Symposium | 2025 | Link |
| Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning. | USENIX Security Symposium | 2025 | Link |
| SoK: Gradient Inversion Attacks in Federated Learning. | USENIX Security Symposium | 2025 | Link |
| SoK: On Gradient Leakage in Federated Learning. | USENIX Security Symposium | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| ACE: A Model Poisoning Attack on Contribution Evaluation Methods in Federated Learning. | USENIX Security Symposium | 2024 | Link |
| BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federated Learning. | USENIX Security Symposium | 2024 | Link |
| Defending Against Data Reconstruction Attacks in Federated Learning: An Information Theory Approach. | USENIX Security Symposium | 2024 | Link |
| Efficient Privacy Auditing in Federated Learning. | USENIX Security Symposium | 2024 | Link |
| FAMOS: Robust Privacy-Preserving Authentication on Payment Apps via Federated Multi-Modal Contrastive Learning. | USENIX Security Symposium | 2024 | Link |
| Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning. | USENIX Security Symposium | 2024 | Link |
| Lurking in the shadows: Unveiling Stealthy Backdoor Attacks against Personalized Federated Learning. | USENIX Security Symposium | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| Every Vote Counts: Ranking-Based Training of Federated Learning to Resist Poisoning Attacks. | USENIX Security Symposium | 2023 | Link |
| FedVal: Different good or different bad in federated learning. | USENIX Security Symposium | 2023 | Link |
| Gradient Obfuscation Gives a False Sense of Security in Federated Learning. | USENIX Security Symposium | 2023 | Link |
| PrivateFL: Accurate, Differentially Private Federated Learning via Personalized Data Transformation. | USENIX Security Symposium | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| Efficient Differentially Private Secure Aggregation for Federated Learning via Hardness of Learning with Errors. | USENIX Security Symposium | 2022 | Link |
| FLAME: Taming Backdoors in Federated Learning. | USENIX Security Symposium | 2022 | Link |
| Label Inference Attacks Against Vertical Federated Learning. | USENIX Security Symposium | 2022 | Link |
2020
| Title | Venue | Year | Link |
|---|---|---|---|
| Local Model Poisoning Attacks to Byzantine-Robust Federated Learning. | USENIX Security Symposium | 2020 | Link |
CSET @ USENIX Security Symposium
Expand CSET @ USENIX Security Symposium
2019
| Title | Venue | Year | Link |
|---|---|---|---|
| Triton: A Software-Reconfigurable Federated Avionics Testbed. | CSET @ USENIX Security Symposium | 2019 | Link |
ACM Multimedia
Expand ACM Multimedia
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| Consistency of Local and Global Flatness for Federated Learning. | ACM Multimedia | 2025 | Link |
| Discovering Maximum Frequency Consensus: Lightweight Federated Learning for Medical Image Segmentation. | ACM Multimedia | 2025 | Link |
| Diverse and Public Features Cooperation via Gradient Rectification for Federated Prompt Learning. | ACM Multimedia | 2025 | Link |
| DualFPT: Handling Data Heterogeneity in Federated Prompt Tuning from both Generalized and Personalized Perspective. | ACM Multimedia | 2025 | Link |
| DynFed: Adaptive Federated Learning via Quantization-Aware Knowledge Distillation. | ACM Multimedia | 2025 | Link |
| FORGET ME: Federated Unlearning for Face Generation Models. | ACM Multimedia | 2025 | Link |
| FeatShield: Isolating Malicious Feature Extractors for Backdoor-Robust Federated Learning. | ACM Multimedia | 2025 | Link |
| FedAPT: Federated Adversarial Prompt Tuning for Vision-Language Models. | ACM Multimedia | 2025 | Link |
| FedBAP: Backdoor Defense via Benign Adversarial Perturbation in Federated Learning. | ACM Multimedia | 2025 | Link |
| FedDEAP: Adaptive Dual-Prompt Tuning for Multi-Domain Federated Learning. | ACM Multimedia | 2025 | Link |
| FedRog: Robust Federated Graph Classification for Strong Heterogeneity and High-Noise Scenarios. | ACM Multimedia | 2025 | Link |
| Federated Incomplete Multi-view Clustering with Individual Structure Preservation and Central Representation Tensorization. | ACM Multimedia | 2025 | Link |
| Multi-Width Neural Network-Assisted Hierarchical Federated Learning in Heterogeneous Cloud-Edge-Device Computing. | ACM Multimedia | 2025 | Link |
| Positive Style Accumulation: A Style Screening and Continuous Utilization Framework for Federated DG-ReID. | ACM Multimedia | 2025 | Link |
| PriCAF: Privacy-Preserving Contribution Assessment in Federated Learning Before Model Training. | ACM Multimedia | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| Adaptive Hierarchical Aggregation for Federated Object Detection. | ACM Multimedia | 2024 | Link |
| Cluster-driven Personalized Federated Recommendation with Interest-aware Graph Convolution Network for Multimedia. | ACM Multimedia | 2024 | Link |
| CoAst: Validation-Free Contribution Assessment for Federated Learning based on Cross-Round Valuation. | ACM Multimedia | 2024 | Link |
| Cross-Modal Meta Consensus for Heterogeneous Federated Learning. | ACM Multimedia | 2024 | Link |
| Decoupling General and Personalized Knowledge in Federated Learning via Additive and Low-rank Decomposition. | ACM Multimedia | 2024 | Link |
| DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations. | ACM Multimedia | 2024 | Link |
| FedBCGD: Communication-Efficient Accelerated Block Coordinate Gradient Descent for Federated Learning. | ACM Multimedia | 2024 | Link |
| FedCAFE: Federated Cross-Modal Hashing with Adaptive Feature Enhancement. | ACM Multimedia | 2024 | Link |
| FedDEO: Description-Enhanced One-Shot Federated Learning with Diffusion Models. | ACM Multimedia | 2024 | Link |
| FedEvalFair: A Privacy-Preserving and Statistically Grounded Federated Fairness Evaluation Framework. | ACM Multimedia | 2024 | Link |
| FedSLS: Exploring Federated Aggregation in Saliency Latent Space. | ACM Multimedia | 2024 | Link |
| Federated Fuzzy C-means with Schatten-p Norm Minimization. | ACM Multimedia | 2024 | Link |
| Federated Morozov Regularization for Shortcut Learning in Privacy Preserving Learning with Watermarked Image Data. | ACM Multimedia | 2024 | Link |
| Heterogeneity-Aware Federated Deep Multi-View Clustering towards Diverse Feature Representations. | ACM Multimedia | 2024 | Link |
| Masked Random Noise for Communication-Efficient Federated Learning. | ACM Multimedia | 2024 | Link |
| One-Shot Sequential Federated Learning for Non-IID Data by Enhancing Local Model Diversity. | ACM Multimedia | 2024 | Link |
| One-shot-but-not-degraded Federated Learning. | ACM Multimedia | 2024 | Link |
| Overcoming Spatial-Temporal Catastrophic Forgetting for Federated Class-Incremental Learning. | ACM Multimedia | 2024 | Link |
| Spatio-temporal Heterogeneous Federated Learning for Time Series Classification with Multi-view Orthogonal Training. | ACM Multimedia | 2024 | Link |
| Towards Effective Federated Graph Anomaly Detection via Self-boosted Knowledge Distillation. | ACM Multimedia | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| A Four-Pronged Defense Against Byzantine Attacks in Federated Learning. | ACM Multimedia | 2023 | Link |
| AffectFAL: Federated Active Affective Computing with Non-IID Data. | ACM Multimedia | 2023 | Link |
| Client-Adaptive Cross-Model Reconstruction Network for Modality-Incomplete Multimodal Federated Learning. | ACM Multimedia | 2023 | Link |
| Cross-Silo Prototypical Calibration for Federated Learning with Non-IID Data. | ACM Multimedia | 2023 | Link |
| Cuing Without Sharing: A Federated Cued Speech Recognition Framework via Mutual Knowledge Distillation. | ACM Multimedia | 2023 | Link |
| FedAA: Using Non-sensitive Modalities to Improve Federated Learning while Preserving Image Privacy. | ACM Multimedia | 2023 | Link |
| FedCD: A Classifier Debiased Federated Learning Framework for Non-IID Data. | ACM Multimedia | 2023 | Link |
| FedCE: Personalized Federated Learning Method based on Clustering Ensembles. | ACM Multimedia | 2023 | Link |
| FedGH: Heterogeneous Federated Learning with Generalized Global Header. | ACM Multimedia | 2023 | Link |
| FedVQA: Personalized Federated Visual Question Answering over Heterogeneous Scenes. | ACM Multimedia | 2023 | Link |
| Federated Deep Multi-View Clustering with Global Self-Supervision. | ACM Multimedia | 2023 | Link |
| Federated Learning with Label-Masking Distillation. | ACM Multimedia | 2023 | Link |
| Improving Federated Person Re-Identification through Feature-Aware Proximity and Aggregation. | ACM Multimedia | 2023 | Link |
| Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data. | ACM Multimedia | 2023 | Link |
| Prototype-guided Knowledge Transfer for Federated Unsupervised Cross-modal Hashing. | ACM Multimedia | 2023 | Link |
| Towards Fast and Stable Federated Learning: Confronting Heterogeneity via Knowledge Anchor. | ACM Multimedia | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| Feeling Without Sharing: A Federated Video Emotion Recognition Framework Via Privacy-Agnostic Hybrid Aggregation. | ACM Multimedia | 2022 | Link |
| Few-Shot Model Agnostic Federated Learning. | ACM Multimedia | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| Joint Optimization in Edge-Cloud Continuum for Federated Unsupervised Person Re-identification. | ACM Multimedia | 2021 | Link |
2020
| Title | Venue | Year | Link |
|---|---|---|---|
| InvisibleFL: Federated Learning over Non-Informative Intermediate Updates against Multimedia Privacy Leakages. | ACM Multimedia | 2020 | Link |
| Performance Optimization of Federated Person Re-identification via Benchmark Analysis. | ACM Multimedia | 2020 | Link |
1999
| Title | Venue | Year | Link |
|---|---|---|---|
| A federated multimedia database system. | ACM Multimedia | 1999 | Link |
ALT
Expand ALT
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| Iterated Vector Fields and Conservatism, with Applications to Federated Learning. | ALT | 2022 | Link |
Proc. ACM Manag. Data
Expand Proc. ACM Manag. Data
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| Federated Heavy Hitter Analytics with Local Differential Privacy. | Proc. ACM Manag. Data | 2025 | Link |
| SecureXGB: A Secure and Efficient Multi-party Protocol for Vertical Federated XGBoost. | Proc. ACM Manag. Data | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| A Profit-Maximizing Data Marketplace with Differentially Private Federated Learning under Price Competition. | Proc. ACM Manag. Data | 2024 | Link |
| FedKNN: Secure Federated k-Nearest Neighbor Search. | Proc. ACM Manag. Data | 2024 | Link |
| Historical Embedding-Guided Efficient Large-Scale Federated Graph Learning. | Proc. ACM Manag. Data | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| F3KM: Federated, Fair, and Fast k-means. | Proc. ACM Manag. Data | 2023 | Link |
| FEAST: A Communication-efficient Federated Feature Selection Framework for Relational Data. | Proc. ACM Manag. Data | 2023 | Link |
| FedCSS: Joint Client-and-Sample Selection for Hard Sample-Aware Noise-Robust Federated Learning. | Proc. ACM Manag. Data | 2023 | Link |
| Practical Differentially Private and Byzantine-resilient Federated Learning. | Proc. ACM Manag. Data | 2023 | Link |
SIGMOD Conference
Expand SIGMOD Conference
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| An Introduction to Federated Computation. | SIGMOD Conference | 2022 | Link |
| BlindFL: Vertical Federated Machine Learning without Peeking into Your Data. | SIGMOD Conference | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| ExDRa: Exploratory Data Science on Federated Raw Data. | SIGMOD Conference | 2021 | Link |
| VF2Boost: Very Fast Vertical Federated Gradient Boosting for Cross-Enterprise Learning. | SIGMOD Conference | 2021 | Link |
2016
| Title | Venue | Year | Link |
|---|---|---|---|
| THEMIS: Fairness in Federated Stream Processing under Overload. | SIGMOD Conference | 2016 | Link |
2005
| Title | Venue | Year | Link |
|---|---|---|---|
| Modeling and querying multidimensional data sources in Siebel Analytics: a federated relational system. | SIGMOD Conference | 2005 | Link |
2002
| Title | Venue | Year | Link |
|---|---|---|---|
| Garlic: a new flavor of federated query processing for DB2. | SIGMOD Conference | 2002 | Link |
1995
| Title | Venue | Year | Link |
|---|---|---|---|
| Efendi: Federated Database System of Cadlab. | SIGMOD Conference | 1995 | Link |
1994
| Title | Venue | Year | Link |
|---|---|---|---|
| The MYRIAD Federated Database Prototype. | SIGMOD Conference | 1994 | Link |
1993
| Title | Venue | Year | Link |
|---|---|---|---|
| Temporal Modules: An Approach Toward Federated Temporal Databases. | SIGMOD Conference | 1993 | Link |
EuroSys
Expand EuroSys
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| Hourglass: Enabling Efficient Split Federated Learning with Data Parallelism. | EuroSys | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| DeTA: Minimizing Data Leaks in Federated Learning via Decentralized and Trustworthy Aggregation. | EuroSys | 2024 | Link |
| Dordis: Efficient Federated Learning with Dropout-Resilient Differential Privacy. | EuroSys | 2024 | Link |
| FLOAT: Federated Learning Optimizations with Automated Tuning. | EuroSys | 2024 | Link |
| Totoro: A Scalable Federated Learning Engine for the Edge. | EuroSys | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| REFL: Resource-Efficient Federated Learning. | EuroSys | 2023 | Link |
SVM@ICSE
Expand SVM@ICSE
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| Edge-Based Detection of Label Flipping Attacks in Federated Learning Using Explainable AI. | SVM@ICSE | 2025 | Link |
ICSE
Expand ICSE
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| TraceFL: Interpretability-Driven Debugging in Federated Learning via Neuron Provenance. | ICSE | 2025 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| FedDebug: Systematic Debugging for Federated Learning Applications. | ICSE | 2023 | Link |
| FedSlice: Protecting Federated Learning Models from Malicious Participants with Model Slicing. | ICSE | 2023 | Link |
2012
| Title | Venue | Year | Link |
|---|---|---|---|
| Application of Self-Adaptive techniques to federated authorization models. | ICSE | 2012 | Link |
| Towards a federated cloud ecosystem (Invited industrial talk). | ICSE | 2012 | Link |
SEiGS@ICSE
Expand SEiGS@ICSE
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| Towards an Adaptive and Federated Testbed for AI Research in Africa. | SEiGS@ICSE | 2025 | Link |
ICSE Companion
Expand ICSE Companion
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| F-CodeLLM: A Federated Learning Framework for Adapting Large Language Models to Practical Software Development. | ICSE Companion | 2024 | Link |
CIKM
Expand CIKM
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| A Large-Scale Web Search Dataset for Federated Online Learning to Rank. | CIKM | 2025 | Link |
| A Robust Clustered Federated Learning Approach for Non-IID Data with Quantity Skew. | CIKM | 2025 | Link |
| Advanced Privacy Protection in Federated Learning using Server-initiated Homomorphic Encryption. | CIKM | 2025 | Link |
| Aggregated Gradients-based Adaptive Learning Rate Design in Federated Learning. | CIKM | 2025 | Link |
| AutoCoRe-FL: Automatic Concept-based Rule Reasoning in Federated Learning. | CIKM | 2025 | Link |
| Curriculum Guided Personalized Subgraph Federated Learning. | CIKM | 2025 | Link |
| DT-FedSDC: A Dual-Target Federated Framework with Semantic Enhancement and Disentangled Contrastive Learning for Cross-Domain Recommendation. | CIKM | 2025 | Link |
| Deceptive Synthetic Updates: Stealth Free-Rider Attack on Model Aggregation in Federated Learning. | CIKM | 2025 | Link |
| Decoupling Feature Entanglement for Personalized Federated Learning via Neural Collapse. | CIKM | 2025 | Link |
| EFU: Enforcing Federated Unlearning via Functional Encryption. | CIKM | 2025 | Link |
| FedFMD: Fairness-Driven Adaptive Aggregation in Federated Learning via Mahalanobis Distance. | CIKM | 2025 | Link |
| FedGC: Contrastive-enhanced Subgraph Federated Learning with Grouping Pseudo-Label. | CIKM | 2025 | Link |
| FedGVD: Efficient Federated Graph Learning via Unidirectional Distillation with Dynamic Virtual Nodes. | CIKM | 2025 | Link |
| FedSTEP: Asynchronous and Staleness-Aware Personalization for Efficient Federated Learning. | CIKM | 2025 | Link |
| Federated Approximate Query Processing Based on Deep Models. | CIKM | 2025 | Link |
| Federated Continual Recommendation. | CIKM | 2025 | Link |
| Federated Gradient Boosting for Financial Fraud Detection: An Empirical Study in the Banking Sector. | CIKM | 2025 | Link |
| HyperGenFL: Hypernetwork-Generated Model Aggregation in Federated Learning. | CIKM | 2025 | Link |
| MMiC: Mitigating Modality Incompleteness in Clustered Federated Learning. | CIKM | 2025 | Link |
| OFedED: One-shot Federated Learning with Model Ensemble and Dataset Distillation. | CIKM | 2025 | Link |
| PKGRec: Personal Knowledge Graph Construction and Mining for Federated Recommendation Enhancement. | CIKM | 2025 | Link |
| Personalized Federated Recommendation with Multi-Faceted User Representation and Global Consistent Prototype. | CIKM | 2025 | Link |
| Publicly Verifiable and Fault-Tolerant Privacy-Preserving Aggregation for Federated Learning. | CIKM | 2025 | Link |
| Rethinking Client-oriented Federated Graph Learning. | CIKM | 2025 | Link |
| SEF-UQR: Scalable and Efficient Privacy-Preserving Federated Updating QR Factorization. | CIKM | 2025 | Link |
| Toward Secure Federated Partial Label Learning Against Poisoning Attacks. | CIKM | 2025 | Link |
| Towards Instance-wise Personalized Federated Learning via Semi-Implicit Bayesian Prompt Tuning. | CIKM | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| Beyond Aggregation: Efficient Federated Model Consolidation with Heterogeneity-Adaptive Weights Diffusion. | CIKM | 2024 | Link |
| Breaking State-of-the-Art Poisoning Defenses to Federated Learning: An Optimization-Based Attack Framework. | CIKM | 2024 | Link |
| Buffalo: Biomedical Vision-Language Understanding with Cross-Modal Prototype and Federated Foundation Model Collaboration. | CIKM | 2024 | Link |
| DAMe: Personalized Federated Social Event Detection with Dual Aggregation Mechanism. | CIKM | 2024 | Link |
| DFLStar: A Decentralized Federated Learning Framework with Self-Knowledge Distillation and Participant Selection. | CIKM | 2024 | Link |
| DP-FedFace: Privacy-Preserving Facial Recognition in Real Federated Scenarios. | CIKM | 2024 | Link |
| EFVAE: Efficient Federated Variational Autoencoder for Collaborative Filtering. | CIKM | 2024 | Link |
| Efficient and Robust Regularized Federated Recommendation. | CIKM | 2024 | Link |
| Efficient and Secure Contribution Estimation in Vertical Federated Learning. | CIKM | 2024 | Link |
| Federated Deep Equilibrium Learning: Harnessing Compact Global Representations to Enhance Personalization. | CIKM | 2024 | Link |
| Federated Heterogeneous Contrastive Distillation for Molecular Representation Learning. | CIKM | 2024 | Link |
| Federated Node Classification over Distributed Ego-Networks with Secure Contrastive Embedding Sharing. | CIKM | 2024 | Link |
| PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning. | CIKM | 2024 | Link |
| Robust Federated Unlearning. | CIKM | 2024 | Link |
| Tackling Noisy Clients in Federated Learning with End-to-end Label Correction. | CIKM | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| A Joint Training-Calibration Framework for Test-Time Personalization with Label Shift in Federated Learning. | CIKM | 2023 | Link |
| Differential Privacy in HyperNetworks for Personalized Federated Learning. | CIKM | 2023 | Link |
| FedPSE: Personalized Sparsification with Element-wise Aggregation for Federated Learning. | CIKM | 2023 | Link |
| Federated Competing Risk Analysis. | CIKM | 2023 | Link |
| Federated News Recommendation with Fine-grained Interpolation and Dynamic Clustering. | CIKM | 2023 | Link |
| Non-IID always Bad? Semi-Supervised Heterogeneous Federated Learning with Local Knowledge Enhancement. | CIKM | 2023 | Link |
| Personalized Differentially Private Federated Learning without Exposing Privacy Budgets. | CIKM | 2023 | Link |
| Personalized Location-Preference Learning for Federated Task Assignment in Spatial Crowdsourcing. | CIKM | 2023 | Link |
| Privacy-Preserving Federated Learning via Disentanglement. | CIKM | 2023 | Link |
| VFedAD: A Defense Method Based on the Information Mechanism Behind the Vertical Federated Data Poisoning Attack. | CIKM | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| A System for Time Series Feature Extraction in Federated Learning. | CIKM | 2022 | Link |
| Adversarial Robustness through Bias Variance Decomposition: A New Perspective for Federated Learning. | CIKM | 2022 | Link |
| FeReD: Federated Reinforcement Learning in the DBMS. | CIKM | 2022 | Link |
| FedCDR: Federated Cross-Domain Recommendation for Privacy-Preserving Rating Prediction. | CIKM | 2022 | Link |
| FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning. | CIKM | 2022 | Link |
| Federated Data Preparation, Learning, and Debugging in Apache SystemDS. | CIKM | 2022 | Link |
| Federated K-Private Set Intersection. | CIKM | 2022 | Link |
| Learning to Generalize in Heterogeneous Federated Networks. | CIKM | 2022 | Link |
| Mitigating Biases in Student Performance Prediction via Attention-Based Personalized Federated Learning. | CIKM | 2022 | Link |
| Neuron Specific Pruning for Communication Efficient Federated Learning. | CIKM | 2022 | Link |
| Personalized Federated Recommendation via Joint Representation Learning, User Clustering, and Model Adaptation. | CIKM | 2022 | Link |
| RobustFed: A Truth Inference Approach for Robust Federated Learning. | CIKM | 2022 | Link |
| Task Assignment with Federated Preference Learning in Spatial Crowdsourcing. | CIKM | 2022 | Link |
| The 1st International Workshop on Federated Learning with Graph Data (FedGraph). | CIKM | 2022 | Link |
| Towards Federated Learning against Noisy Labels via Local Self-Regularization. | CIKM | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| Desirable Companion for Vertical Federated Learning: New Zeroth-Order Gradient Based Algorithm. | CIKM | 2021 | Link |
| Differentially Private Federated Knowledge Graphs Embedding. | CIKM | 2021 | Link |
| FedMatch: Federated Learning Over Heterogeneous Question Answering Data. | CIKM | 2021 | Link |
| FedSkel: Efficient Federated Learning on Heterogeneous Systems with Skeleton Gradients Update. | CIKM | 2021 | Link |
| Large-scale Secure XGB for Vertical Federated Learning. | CIKM | 2021 | Link |
2020
| Title | Venue | Year | Link |
|---|---|---|---|
| PrivacyFL: A Simulator for Privacy-Preserving and Secure Federated Learning. | CIKM | 2020 | Link |
2019
| Title | Venue | Year | Link |
|---|---|---|---|
| Federated Topic Modeling. | CIKM | 2019 | Link |
2015
| Title | Venue | Year | Link |
|---|---|---|---|
| Personalized Federated Search at LinkedIn. | CIKM | 2015 | Link |
2012
| Title | Venue | Year | Link |
|---|---|---|---|
| Federated search in the wild: the combined power of over a hundred search engines. | CIKM | 2012 | Link |
2002
| Title | Venue | Year | Link |
|---|---|---|---|
| The verity federated infrastructure. | CIKM | 2002 | Link |
2001
| Title | Venue | Year | Link |
|---|---|---|---|
| A Relational Algebra for Data/Metadata Integration in a Federated Database System. | CIKM | 2001 | Link |
1993
| Title | Venue | Year | Link |
|---|---|---|---|
| Concurrency Control in Federated Databases: A Dynamic Approach. | CIKM | 1993 | Link |
| Query Optimization and Processing in Federated Database Systems. | CIKM | 1993 | Link |
CIKM Workshops
Expand CIKM Workshops
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| A Privacy Framework for Hierarchical Federated Learning. | CIKM Workshops | 2021 | Link |
CIMS
USENIX ATC
Expand USENIX ATC
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| AssyLLM: Efficient Federated Fine-tuning of LLMs via Assembling Pre-trained Blocks. | USENIX ATC | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| Efficient Decentralized Federated Singular Vector Decomposition. | USENIX ATC | 2024 | Link |
| FwdLLM: Efficient Federated Finetuning of Large Language Models with Perturbed Inferences. | USENIX ATC | 2024 | Link |
2020
| Title | Venue | Year | Link |
|---|---|---|---|
| BatchCrypt: Efficient Homomorphic Encryption for Cross-Silo Federated Learning. | USENIX ATC | 2020 | Link |
2011
| Title | Venue | Year | Link |
|---|---|---|---|
| Toward Online Testing of Federated and Heterogeneous Distributed Systems. | USENIX ATC | 2011 | Link |
Artif. Intell.
Expand Artif. Intell.
2026
| Title | Venue | Year | Link |
|---|---|---|---|
| Disentangling data distribution for optimal and communication-efficient federated learning. | Artif. Intell. | 2026 | Link |
| Federated neural nonparametric point processes. | Artif. Intell. | 2026 | Link |
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| FedHM: Efficient federated learning for heterogeneous models via low-rank factorization. | Artif. Intell. | 2025 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| Privacy-preserving graph convolution network for federated item recommendation. | Artif. Intell. | 2023 | Link |
Mach. Learn.
Expand Mach. Learn.
2026
| Title | Venue | Year | Link |
|---|---|---|---|
| FedGES: A Federated Learning Approach for Bayesian Network Structure Learning. | Mach. Learn. | 2026 | Link |
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| Auction-based incentive mechanism with personalized privacy protection in federated learning. | Mach. Learn. | 2025 | Link |
| DP-FedSecure: a secure and efficient federated learning scheme based on adaptive differential privacy. | Mach. Learn. | 2025 | Link |
| Efficient federated unlearning under plausible deniability. | Mach. Learn. | 2025 | Link |
| Federated causal inference from observational data. | Mach. Learn. | 2025 | Link |
| Fedflow: a personalized federated learning framework for passenger flow prediction. | Mach. Learn. | 2025 | Link |
| FediOS: decoupling orthogonal subspaces for personalization in feature-skew federated learning. | Mach. Learn. | 2025 | Link |
| HFIA: a parasitic feature inference attack and gradient-based defense strategy in SplitNN-based vertical federated learning. | Mach. Learn. | 2025 | Link |
| Improve global generalization for personalized federated learning within a Stackelberg game. | Mach. Learn. | 2025 | Link |
| TransFed: cross-domain feature alignment for semi-supervised federated transfer learning. | Mach. Learn. | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| Aligning model outputs for class imbalanced non-IID federated learning. | Mach. Learn. | 2024 | Link |
| Communication-efficient clustered federated learning via model distance. | Mach. Learn. | 2024 | Link |
| Federated learning with superquantile aggregation for heterogeneous data. | Mach. Learn. | 2024 | Link |
| Secure and fast asynchronous Vertical Federated Learning via cascaded hybrid optimization. | Mach. Learn. | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| Ensemble and continual federated learning for classification tasks. | Mach. Learn. | 2023 | Link |
| FAC-fed: Federated adaptation for fairness and concept drift aware stream classification. | Mach. Learn. | 2023 | Link |
| Robust federated learning under statistical heterogeneity via hessian-weighted aggregation. | Mach. Learn. | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| An accurate, scalable and verifiable protocol for federated differentially private averaging. | Mach. Learn. | 2022 | Link |
J. Mach. Learn. Res.
Expand J. Mach. Learn. Res.
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| FedCBO: Reaching Group Consensus in Clustered Federated Learning through Consensus-based Optimization. | J. Mach. Learn. Res. | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| A First Look into the Carbon Footprint of Federated Learning. | J. Mach. Learn. Res. | 2023 | Link |
| A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates. | J. Mach. Learn. Res. | 2023 | Link |
| Attacks against Federated Learning Defense Systems and their Mitigation. | J. Mach. Learn. Res. | 2023 | Link |
| FedLab: A Flexible Federated Learning Framework. | J. Mach. Learn. Res. | 2023 | Link |
| Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning. | J. Mach. Learn. Res. | 2023 | Link |
| Minimax Estimation for Personalized Federated Learning: An Alternative between FedAvg and Local Training? | J. Mach. Learn. Res. | 2023 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| One-Shot Federated Learning: Theoretical Limits and Algorithms to Achieve Them. | J. Mach. Learn. Res. | 2021 | Link |
IEEE Trans. Pattern Anal. Mach. Intell.
Expand IEEE Trans. Pattern Anal. Mach. Intell.
2026
| Title | Venue | Year | Link |
|---|---|---|---|
| Communication-Efficient Federated Multi-View Clustering. | IEEE Trans. Pattern Anal. Mach. Intell. | 2026 | Link |
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| DFedADMM: Dual Constraint Controlled Model Inconsistency for Decentralize Federated Learning. | IEEE Trans. Pattern Anal. Mach. Intell. | 2025 | Link |
| FedID: Enhancing Federated Learning Security Through Dynamic Identification. | IEEE Trans. Pattern Anal. Mach. Intell. | 2025 | Link |
| Federated Multi-View K-Means Clustering. | IEEE Trans. Pattern Anal. Mach. Intell. | 2025 | Link |
| Medical Federated Model With Mixture of Personalized and Shared Components. | IEEE Trans. Pattern Anal. Mach. Intell. | 2025 | Link |
| Re-Fed+: A Better Replay Strategy for Federated Incremental Learning. | IEEE Trans. Pattern Anal. Mach. Intell. | 2025 | Link |
| Robust Asymmetric Heterogeneous Federated Learning With Corrupted Clients. | IEEE Trans. Pattern Anal. Mach. Intell. | 2025 | Link |
| Stabilizing and Accelerating Federated Learning on Heterogeneous Data With Partial Client Participation. | IEEE Trans. Pattern Anal. Mach. Intell. | 2025 | Link |
| Toward the Flatter Landscape and Better Generalization in Federated Learning Under Client-Level Differential Privacy. | IEEE Trans. Pattern Anal. Mach. Intell. | 2025 | Link |
| VQ-FedDiff: Federated Learning Algorithm of Diffusion Models With Client-Specific Vector-Quantized Conditioning. | IEEE Trans. Pattern Anal. Mach. Intell. | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| A Bayesian Federated Learning Framework With Online Laplace Approximation. | IEEE Trans. Pattern Anal. Mach. Intell. | 2024 | Link |
| Cross-Modal Federated Human Activity Recognition. | IEEE Trans. Pattern Anal. Mach. Intell. | 2024 | Link |
| Federated Feature Augmentation and Alignment. | IEEE Trans. Pattern Anal. Mach. Intell. | 2024 | Link |
| Federated Gaussian Process: Convergence, Automatic Personalization and Multi-Fidelity Modeling. | IEEE Trans. Pattern Anal. Mach. Intell. | 2024 | Link |
| Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark. | IEEE Trans. Pattern Anal. Mach. Intell. | 2024 | Link |
| Federated Learning of Generalized Linear Causal Networks. | IEEE Trans. Pattern Anal. Mach. Intell. | 2024 | Link |
| Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning. | IEEE Trans. Pattern Anal. Mach. Intell. | 2024 | Link |
| Multi-Stage Asynchronous Federated Learning With Adaptive Differential Privacy. | IEEE Trans. Pattern Anal. Mach. Intell. | 2024 | Link |
| No One Left Behind: Real-World Federated Class-Incremental Learning. | IEEE Trans. Pattern Anal. Mach. Intell. | 2024 | Link |
| The Impact of Adversarial Attacks on Federated Learning: A Survey. | IEEE Trans. Pattern Anal. Mach. Intell. | 2024 | Link |
| Understanding and Mitigating Dimensional Collapse in Federated Learning. | IEEE Trans. Pattern Anal. Mach. Intell. | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| Decentralized Federated Averaging. | IEEE Trans. Pattern Anal. Mach. Intell. | 2023 | Link |
| Efficient Federated Learning Via Local Adaptive Amended Optimizer With Linear Speedup. | IEEE Trans. Pattern Anal. Mach. Intell. | 2023 | Link |
| FedIPR: Ownership Verification for Federated Deep Neural Network Models. | IEEE Trans. Pattern Anal. Mach. Intell. | 2023 | Link |
| Federated Learning Via Inexact ADMM. | IEEE Trans. Pattern Anal. Mach. Intell. | 2023 | Link |
| Tighter Regret Analysis and Optimization of Online Federated Learning. | IEEE Trans. Pattern Anal. Mach. Intell. | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| Communication-Efficient Randomized Algorithm for Multi-Kernel Online Federated Learning. | IEEE Trans. Pattern Anal. Mach. Intell. | 2022 | Link |
| Lazily Aggregated Quantized Gradient Innovation for Communication-Efficient Federated Learning. | IEEE Trans. Pattern Anal. Mach. Intell. | 2022 | Link |
IEEE Trans. Image Process.
Expand IEEE Trans. Image Process.
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| Client-Unbiased Skeletal Action Recognizer in Federated Learning. | IEEE Trans. Image Process. | 2025 | Link |
| Dynamic Personalized Federated Learning for Cross-Spectral Palmprint Recognition. | IEEE Trans. Image Process. | 2025 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| Edge Devices Clustering for Federated Visual Classification: A Feature Norm Based Framework. | IEEE Trans. Image Process. | 2023 | Link |
IEEE Trans. Signal Process.
Expand IEEE Trans. Signal Process.
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| Adaptive Federated Learning Over the Air. | IEEE Trans. Signal Process. | 2025 | Link |
| Byzantine-Robust and Communication-Efficient Personalized Federated Learning. | IEEE Trans. Signal Process. | 2025 | Link |
| Combating Interference for Over-the-Air Federated Learning: A Statistical Approach via RIS. | IEEE Trans. Signal Process. | 2025 | Link |
| Communication and Energy Efficient Federated Learning Using Zero-Order Optimization Technique. | IEEE Trans. Signal Process. | 2025 | Link |
| Communication-Efficient Distributed Bayesian Federated Learning Over Arbitrary Graphs. | IEEE Trans. Signal Process. | 2025 | Link |
| Communication-Efficient Vertical Federated Learning via Compressed Error Feedback. | IEEE Trans. Signal Process. | 2025 | Link |
| Empowering Federated Learning With Implicit Gossiping: Mitigating Connection Unreliability Amidst Unknown and Arbitrary Dynamics. | IEEE Trans. Signal Process. | 2025 | Link |
| Kalman Filter Aided Federated Koopman Learning. | IEEE Trans. Signal Process. | 2025 | Link |
| Locally Differentially Private Online Federated Learning With Correlated Noise. | IEEE Trans. Signal Process. | 2025 | Link |
| Online Federated Reproduced Gradient Descent With Time-Varying Global Optima. | IEEE Trans. Signal Process. | 2025 | Link |
| Over-the-Air Multitask Federated Learning via Cost-Effective Hybrid Beamforming. | IEEE Trans. Signal Process. | 2025 | Link |
| PAUSE: Low-Latency and Privacy-Aware Active User Selection for Federated Learning. | IEEE Trans. Signal Process. | 2025 | Link |
| Probabilistic Byzantine Attack on Federated Learning. | IEEE Trans. Signal Process. | 2025 | Link |
| Sparse Decentralized Federated Learning. | IEEE Trans. Signal Process. | 2025 | Link |
| Towards Communication-Efficient Federated Learning via Sparse and Aligned Adaptive Optimization. | IEEE Trans. Signal Process. | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| A Communication-Efficient Adaptive Algorithm for Federated Learning Under Cumulative Regret. | IEEE Trans. Signal Process. | 2024 | Link |
| A Communication-Efficient Algorithm for Federated Multilevel Stochastic Compositional Optimization. | IEEE Trans. Signal Process. | 2024 | Link |
| Accelerating Hybrid Federated Learning Convergence Under Partial Participation. | IEEE Trans. Signal Process. | 2024 | Link |
| Adaptive Model Pruning and Personalization for Federated Learning Over Wireless Networks. | IEEE Trans. Signal Process. | 2024 | Link |
| Causal Influence in Federated Edge Inference. | IEEE Trans. Signal Process. | 2024 | Link |
| Communication-Efficient Design for Quantized Decentralized Federated Learning. | IEEE Trans. Signal Process. | 2024 | Link |
| Compute-Update Federated Learning: A Lattice Coding Approach. | IEEE Trans. Signal Process. | 2024 | Link |
| Federated Inference With Reliable Uncertainty Quantification Over Wireless Channels via Conformal Prediction. | IEEE Trans. Signal Process. | 2024 | Link |
| Federated Learning from Heterogeneous Data via Controlled Air Aggregation with Bayesian Estimation. | IEEE Trans. Signal Process. | 2024 | Link |
| Unleashing Edgeless Federated Learning With Analog Transmissions. | IEEE Trans. Signal Process. | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| Asymptotic Analysis of Federated Learning Under Event-Triggered Communication. | IEEE Trans. Signal Process. | 2023 | Link |
| Clustered Federated Learning via Generalized Total Variation Minimization. | IEEE Trans. Signal Process. | 2023 | Link |
| Communication-Efficient Federated Learning: A Variance-Reduced Stochastic Approach With Adaptive Sparsification. | IEEE Trans. Signal Process. | 2023 | Link |
| Communication-Efficient Federated Linear and Deep Generalized Canonical Correlation Analysis. | IEEE Trans. Signal Process. | 2023 | Link |
| Confederated Learning: Federated Learning With Decentralized Edge Servers. | IEEE Trans. Signal Process. | 2023 | Link |
| Device Scheduling in Over-the-Air Federated Learning Via Matching Pursuit. | IEEE Trans. Signal Process. | 2023 | Link |
| FedFM: Anchor-Based Feature Matching for Data Heterogeneity in Federated Learning. | IEEE Trans. Signal Process. | 2023 | Link |
| FedGiA: An Efficient Hybrid Algorithm for Federated Learning. | IEEE Trans. Signal Process. | 2023 | Link |
| FedHybrid: A Hybrid Federated Optimization Method for Heterogeneous Clients. | IEEE Trans. Signal Process. | 2023 | Link |
| FedUR: Federated Learning Optimization Through Adaptive Centralized Learning Optimizers. | IEEE Trans. Signal Process. | 2023 | Link |
| Joint Privacy Enhancement and Quantization in Federated Learning. | IEEE Trans. Signal Process. | 2023 | Link |
| Reward Teaching for Federated Multiarmed Bandits. | IEEE Trans. Signal Process. | 2023 | Link |
| Riemannian Low-Rank Model Compression for Federated Learning With Over-the-Air Aggregation. | IEEE Trans. Signal Process. | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| Communication-Efficient Stochastic Zeroth-Order Optimization for Federated Learning. | IEEE Trans. Signal Process. | 2022 | Link |
| Federated Generalized Bayesian Learning via Distributed Stein Variational Gradient Descent. | IEEE Trans. Signal Process. | 2022 | Link |
| Federated Learning Under Importance Sampling. | IEEE Trans. Signal Process. | 2022 | Link |
| Federated Matrix Factorization: Algorithm Design and Application to Data Clustering. | IEEE Trans. Signal Process. | 2022 | Link |
| Federated Online Deep Learning for CSIT and CSIR Estimation of FDD Multi-User Massive MIMO Systems. | IEEE Trans. Signal Process. | 2022 | Link |
| Federated Over-Air Subspace Tracking From Incomplete and Corrupted Data. | IEEE Trans. Signal Process. | 2022 | Link |
| Robust Aggregation for Federated Learning. | IEEE Trans. Signal Process. | 2022 | Link |
| Sample-Based and Feature-Based Federated Learning for Unconstrained and Constrained Nonconvex Optimization via Mini-batch SSCA. | IEEE Trans. Signal Process. | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| A Novel Framework for the Analysis and Design of Heterogeneous Federated Learning. | IEEE Trans. Signal Process. | 2021 | Link |
| FedPD: A Federated Learning Framework With Adaptivity to Non-IID Data. | IEEE Trans. Signal Process. | 2021 | Link |
| Federated Learning With Spiking Neural Networks. | IEEE Trans. Signal Process. | 2021 | Link |
| Gradual Federated Learning With Simulated Annealing. | IEEE Trans. Signal Process. | 2021 | Link |
| Over-the-Air Federated Learning From Heterogeneous Data. | IEEE Trans. Signal Process. | 2021 | Link |
| UVeQFed: Universal Vector Quantization for Federated Learning. | IEEE Trans. Signal Process. | 2021 | Link |
2020
| Title | Venue | Year | Link |
|---|---|---|---|
| Federated Variance-Reduced Stochastic Gradient Descent With Robustness to Byzantine Attacks. | IEEE Trans. Signal Process. | 2020 | Link |
2018
| Title | Venue | Year | Link |
|---|---|---|---|
| Distributed Federated Tobit Kalman Filter Fusion Over a Packet-Delaying Network: A Probabilistic Perspective. | IEEE Trans. Signal Process. | 2018 | Link |
IEEE Trans. Neural Networks Learn. Syst.
Expand IEEE Trans. Neural Networks Learn. Syst.
2026
| Title | Venue | Year | Link |
|---|---|---|---|
| Contrastive Federated Learning for Graph Anomaly Detection. | IEEE Trans. Neural Networks Learn. Syst. | 2026 | Link |
| DSPFL: A Deep-Layer Sign Sharing Personalized Federated Learning Scheme for Mitigating Poisoning Attacks. | IEEE Trans. Neural Networks Learn. Syst. | 2026 | Link |
| Unveiling Group-Specific Distributed Concept Drift: A Fairness Imperative in Federated Learning. | IEEE Trans. Neural Networks Learn. Syst. | 2026 | Link |
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| A Cost-Aware Utility-Maximizing Bidding Strategy for Auction-Based Federated Learning. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| A Cross-Client Coordinator in Federated Learning Framework for Conquering Heterogeneity. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| A Survey on Federated Recommendation Systems. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| AFed: Algorithmic Fair Federated Learning. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| AMFL: Resource-Efficient Adaptive Metaverse-Based Federated Learning for the Human-Centric Augmented Reality Applications. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| AdaptiveFL: Communication-Adaptive Federated Learning Under Dynamic Bandwidth. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| Addressing Skewed Heterogeneity via Federated Prototype Rectification With Personalization. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| Advocating for the Silent: Enhancing Federated Generalization for Nonparticipating Clients. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| Allosteric Feature Collaboration for Model-Heterogeneous Federated Learning. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| An Unsupervised Federated Domain Adaptation Method Based on Knowledge Distillation. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| Auditable and Verifiable Federated Learning Based on Blockchain-Enabled Decentralization. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| Boosting Communication Efficiency in Federated Learning for Multiagent-Based Multimicrogrid Energy Management. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| Communication-Efficient Hybrid Federated Learning for E-Health With Horizontal and Vertical Data Partitioning. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| Communication-Efficient Nonconvex Federated Learning With Error Feedback for Uplink and Downlink. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| D2Fed: Federated Semi-Supervised Learning With Dual-Role Additive Local Training and Dual-Perspective Global Aggregation. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| DA-PFL: Dynamic Affinity Aggregation in Personalized Federated Learning Under Class Imbalance. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| DSFedCon: Dynamic Sparse Federated Contrastive Learning for Data-Driven Intelligent Systems. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| Decentralized Personalized Federated Learning Based on a Conditional "Sparse-to-Sparser" Scheme. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| Decoupling Neural Networks to Leverage Uniform Representation and Balance Personalization and Collaboration in Federated Learning. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| DefendFL: A Privacy-Preserving Federated Learning Scheme Against Poisoning Attacks. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| E-3SFC: Communication-Efficient Federated Learning With Double-Way Features Synthesizing. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| Embracing Multiheterogeneity and Privacy Security Simultaneously: A Dynamic Privacy-Aware Federated Reinforcement Learning Approach. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| FADngs: Federated Learning for Anomaly Detection. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| Feature Correlation-Guided Knowledge Transfer for Federated Self-Supervised Learning. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| Fed-HeLLo: Efficient Federated Foundation Model Fine-Tuning With Heterogeneous LoRA Allocation. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| FedLSC: Improving Communication Efficiency and Robustness in Federated Learning With Stragglers and Adversaries. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| FedSTS: A Stratified Client Selection Framework for Consistently Fast Federated Learning. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| Federated Aggregation With Interlayer Personalized Contribution: Preference-Based Optimization Between Performance and Privacy. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| Federated Cross-Incremental Self-Supervised Learning for Medical Image Segmentation. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| Federated Discriminative Representation Learning for Image Classification. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| Federated Fine-Tuning on Heterogeneous LoRAs With Error-Compensated Aggregation. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| Federated Graph Anomaly Detection via Contrastive Self-Supervised Learning. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| Federated Graph Neural Networks: Overview, Techniques, and Challenges. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| Federated Learning Based on Model Discrepancy and Variance Reduction. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| Federated Learning With Only Positive Labels by Exploring Label Correlations. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| Federated Learning for Data Trading Portfolio Allocation With Autonomous Economic Agents. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| Federated Noisy Client Learning. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| Federated Scientific Machine Learning for Approximating Functions and Solving Differential Equations With Data Heterogeneity. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| Federated Unlearning: A Survey on Methods, Design Guidelines, and Evaluation Metrics. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| Guest Editorial: Special Issue on Trustworthy Federated Learning. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| Horizontal Federated Density Peaks Clustering. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| Hypernetwork-Based Physics-Driven Personalized Federated Learning for CT Imaging. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| Improving Generalization and Personalization in Model-Heterogeneous Federated Learning. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| Improving Global Generalization and Local Personalization for Federated Learning. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| IronForge: An Open, Secure, Fair, Decentralized Federated Learning. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| Knowledge-Guided Label Distribution Calibration for Federated Affective Computing. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| Leverage Variational Graph Representation for Model Poisoning on Federated Learning. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| Multicenter Hierarchical Federated Learning With Fault-Tolerance Mechanisms for Resilient Edge Computing Networks. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| Noise-Robust Federated Learning via Interclient Co-Distillation. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| One-Shot Secure Federated K-Means Clustering Based on Density Cores. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| PrivFR: Privacy-Enhanced Federated Recommendation With Shared Hash Embedding. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| Robust Federated Learning: Maximum Correntropy Aggregation Against Byzantine Attacks. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| Robust Privacy-Preserving Recommendation Systems Driven by Multimodal Federated Learning. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| Route-and-Aggregate Decentralized Federated Learning Under Communication Errors. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End Devices. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| Secure and Efficient Federated Learning Against Model Poisoning Attacks in Horizontal and Vertical Data Partitioning. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| Tailored Federated Learning With Adaptive Central Acceleration on Diversified Global Models. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| The Diversity Bonus: Learning From Dissimilar Clients in Personalized Federated Learning. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| The Risk of Federated Learning to Skew Fine-Tuning Features and Underperform Robustness. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| Threats and Defenses in the Federated Learning Life Cycle: A Comprehensive Survey and Challenges. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| Toward Quantum Federated Learning. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| Vector Quantization-Based Clustered Federated Learning With Global Feature Anchors for Improved Representation and Generalization. | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
| Why Batch Normalization Damage Federated Learning on Non-IID Data? | IEEE Trans. Neural Networks Learn. Syst. | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| A Memory-Efficient Federated Kernel Support Vector Machine for Edge Devices. | IEEE Trans. Neural Networks Learn. Syst. | 2024 | Link |
| A New Look and Convergence Rate of Federated Multitask Learning With Laplacian Regularization. | IEEE Trans. Neural Networks Learn. Syst. | 2024 | Link |
| Active Client Selection for Clustered Federated Learning. | IEEE Trans. Neural Networks Learn. Syst. | 2024 | Link |
| An Efficient Federated Learning Framework for Machinery Fault Diagnosis With Improved Model Aggregation and Local Model Training. | IEEE Trans. Neural Networks Learn. Syst. | 2024 | Link |
| Balanced Federated Semisupervised Learning With Fairness-Aware Pseudo-Labeling. | IEEE Trans. Neural Networks Learn. Syst. | 2024 | Link |
| Clustered Federated Learning in Heterogeneous Environment. | IEEE Trans. Neural Networks Learn. Syst. | 2024 | Link |
| Enhanced Security and Privacy via Fragmented Federated Learning. | IEEE Trans. Neural Networks Learn. Syst. | 2024 | Link |
| FedGAMMA: Federated Learning With Global Sharpness-Aware Minimization. | IEEE Trans. Neural Networks Learn. Syst. | 2024 | Link |
| FedTP: Federated Learning by Transformer Personalization. | IEEE Trans. Neural Networks Learn. Syst. | 2024 | Link |
| Federated Data Quality Assessment Approach: Robust Learning With Mixed Label Noise. | IEEE Trans. Neural Networks Learn. Syst. | 2024 | Link |
| Federated Generalized Face Presentation Attack Detection. | IEEE Trans. Neural Networks Learn. Syst. | 2024 | Link |
| Federated Learning via Plurality Vote. | IEEE Trans. Neural Networks Learn. Syst. | 2024 | Link |
| Federated Multiagent Deep Reinforcement Learning Approach via Physics-Informed Reward for Multimicrogrid Energy Management. | IEEE Trans. Neural Networks Learn. Syst. | 2024 | Link |
| Flexible Vertical Federated Learning With Heterogeneous Parties. | IEEE Trans. Neural Networks Learn. Syst. | 2024 | Link |
| Gradient Matching Federated Domain Adaptation for Brain Image Classification. | IEEE Trans. Neural Networks Learn. Syst. | 2024 | Link |
| Memory and Communication Efficient Federated Kernel k-Means. | IEEE Trans. Neural Networks Learn. Syst. | 2024 | Link |
| MetaFed: Federated Learning Among Federations With Cyclic Knowledge Distillation for Personalized Healthcare. | IEEE Trans. Neural Networks Learn. Syst. | 2024 | Link |
| Non-IID Federated Learning With Sharper Risk Bound. | IEEE Trans. Neural Networks Learn. Syst. | 2024 | Link |
| Personalized Federated Few-Shot Learning. | IEEE Trans. Neural Networks Learn. Syst. | 2024 | Link |
| Personalized Federated Graph Learning on Non-IID Electronic Health Records. | IEEE Trans. Neural Networks Learn. Syst. | 2024 | Link |
| Practical and Robust Federated Learning With Highly Scalable Regression Training. | IEEE Trans. Neural Networks Learn. Syst. | 2024 | Link |
| Privacy and Robustness in Federated Learning: Attacks and Defenses. | IEEE Trans. Neural Networks Learn. Syst. | 2024 | Link |
| Sparse Personalized Federated Learning. | IEEE Trans. Neural Networks Learn. Syst. | 2024 | Link |
| Towards Fairness-Aware Federated Learning. | IEEE Trans. Neural Networks Learn. Syst. | 2024 | Link |
| Uncertainty-Aware Aggregation for Federated Open Set Domain Adaptation. | IEEE Trans. Neural Networks Learn. Syst. | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| FedAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning. | IEEE Trans. Neural Networks Learn. Syst. | 2023 | Link |
| Federated Learning With Taskonomy for Non-IID Data. | IEEE Trans. Neural Networks Learn. Syst. | 2023 | Link |
| IFL-GAN: Improved Federated Learning Generative Adversarial Network With Maximum Mean Discrepancy Model Aggregation. | IEEE Trans. Neural Networks Learn. Syst. | 2023 | Link |
| Model Compression for Communication Efficient Federated Learning. | IEEE Trans. Neural Networks Learn. Syst. | 2023 | Link |
| Model Pruning Enables Efficient Federated Learning on Edge Devices. | IEEE Trans. Neural Networks Learn. Syst. | 2023 | Link |
| Toward On-Device Federated Learning: A Direct Acyclic Graph-Based Blockchain Approach. | IEEE Trans. Neural Networks Learn. Syst. | 2023 | Link |
| Towards Personalized Federated Learning. | IEEE Trans. Neural Networks Learn. Syst. | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| Privacy-Preserving Asynchronous Vertical Federated Learning Algorithms for Multiparty Collaborative Learning. | IEEE Trans. Neural Networks Learn. Syst. | 2022 | Link |
| Ternary Compression for Communication-Efficient Federated Learning. | IEEE Trans. Neural Networks Learn. Syst. | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| Clustered Federated Learning: Model-Agnostic Distributed Multitask Optimization Under Privacy Constraints. | IEEE Trans. Neural Networks Learn. Syst. | 2021 | Link |
2020
| Title | Venue | Year | Link |
|---|---|---|---|
| Communication-Efficient Federated Deep Learning With Layerwise Asynchronous Model Update and Temporally Weighted Aggregation. | IEEE Trans. Neural Networks Learn. Syst. | 2020 | Link |
| Multi-Objective Evolutionary Federated Learning. | IEEE Trans. Neural Networks Learn. Syst. | 2020 | Link |
| Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data. | IEEE Trans. Neural Networks Learn. Syst. | 2020 | Link |
IEEE Trans. Artif. Intell.
Expand IEEE Trans. Artif. Intell.
2026
| Title | Venue | Year | Link |
|---|---|---|---|
| Robust Peer-to-Peer Federated Learning With Deep Reinforcement Learning Based Client Selection Against Data Poisoning Attacks. | IEEE Trans. Artif. Intell. | 2026 | Link |
| pFedBL: Federated Bayesian Learning With Personalized Prior. | IEEE Trans. Artif. Intell. | 2026 | Link |
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| A Credible and Fair Federated Learning Framework Based on Blockchain. | IEEE Trans. Artif. Intell. | 2025 | Link |
| A Trustworthy AIoT-Enabled Localization System via Federated Learning and Blockchain. | IEEE Trans. Artif. Intell. | 2025 | Link |
| Active Gradient Manipulation for Privacy Breaching in Vertical Federated Learning. | IEEE Trans. Artif. Intell. | 2025 | Link |
| Blockchain-Empowered Cyber-Secure Federated Learning for Trustworthy Edge Computing. | IEEE Trans. Artif. Intell. | 2025 | Link |
| Exploiting Gaussian Noise Variance for Dynamic Differential Poisoning in Federated Learning. | IEEE Trans. Artif. Intell. | 2025 | Link |
| FLyer: Federated Learning-Based Crop Yield Prediction for Agriculture 5.0. | IEEE Trans. Artif. Intell. | 2025 | Link |
| FedDGA: Federated Multitask Learning Based on Dynamic Guided Attention. | IEEE Trans. Artif. Intell. | 2025 | Link |
| FedECE: Federated Estimation of Causal Effect Based on Causal Graphical Modeling. | IEEE Trans. Artif. Intell. | 2025 | Link |
| Federated Multiarmed Bandits Under Byzantine Attacks. | IEEE Trans. Artif. Intell. | 2025 | Link |
| From Routine to Reflection: Pruning Neural Networks in Communication-Efficient Federated Learning. | IEEE Trans. Artif. Intell. | 2025 | Link |
| Intrusion Detection Approach for Industrial Internet of Things Traffic Using Deep Recurrent Reinforcement Learning Assisted Federated Learning. | IEEE Trans. Artif. Intell. | 2025 | Link |
| Malicious Clients and Contribution Co-Aware Federated Unlearning. | IEEE Trans. Artif. Intell. | 2025 | Link |
| Model-Heterogeneous Federated Graph Learning With Prototype Propagation. | IEEE Trans. Artif. Intell. | 2025 | Link |
| Performance Analysis and Design of a Weighted Personalized Quantum Federated Learning. | IEEE Trans. Artif. Intell. | 2025 | Link |
| Privacy Inference Attack and Defense in Centralized and Federated Learning: A Comprehensive Survey. | IEEE Trans. Artif. Intell. | 2025 | Link |
| Unsupervised Multivariate Time Series Anomaly Detection by Feature Decoupling in Federated Learning Scenarios. | IEEE Trans. Artif. Intell. | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| A Novel Incentive Mechanism for Federated Learning Over Wireless Communications. | IEEE Trans. Artif. Intell. | 2024 | Link |
| A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design. | IEEE Trans. Artif. Intell. | 2024 | Link |
| A Study of Enhancing Federated Learning on Non-IID Data With Server Learning. | IEEE Trans. Artif. Intell. | 2024 | Link |
| An Adaptive Federated Relevance Framework for Spatial-Temporal Graph Learning. | IEEE Trans. Artif. Intell. | 2024 | Link |
| Attacking-Distance-Aware Attack: Semi-targeted Model Poisoning on Federated Learning. | IEEE Trans. Artif. Intell. | 2024 | Link |
| Blockchain and Federated Reinforcement Learning for Vehicle-to-Everything Energy Trading in Smart Grids. | IEEE Trans. Artif. Intell. | 2024 | Link |
| Communication-Efficient Federated Learning for Decision Trees. | IEEE Trans. Artif. Intell. | 2024 | Link |
| Contrastive-Enhanced Domain Generalization With Federated Learning. | IEEE Trans. Artif. Intell. | 2024 | Link |
| Cost-Efficient Feature Selection for Horizontal Federated Learning. | IEEE Trans. Artif. Intell. | 2024 | Link |
| Defending Against Poisoning Attacks in Federated Learning With Blockchain. | IEEE Trans. Artif. Intell. | 2024 | Link |
| Differentially Private and Heterogeneity-Robust Federated Learning With Theoretical Guarantee. | IEEE Trans. Artif. Intell. | 2024 | Link |
| Federated $c$-Means and Fuzzy $c$-Means Clustering Algorithms for Horizontally and Vertically Partitioned Data. | IEEE Trans. Artif. Intell. | 2024 | Link |
| Federated Learning for Distribution Skewed Data Using Sample Weights. | IEEE Trans. Artif. Intell. | 2024 | Link |
| Federated Multi-Phase Curriculum Learning to Synchronously Correlate User Heterogeneity. | IEEE Trans. Artif. Intell. | 2024 | Link |
| Federated Multitask Learning for Complaint Identification Using Graph Attention Network. | IEEE Trans. Artif. Intell. | 2024 | Link |
| Federated Reinforcement Learning With Knowledge Transfer for Network Selection in Hybrid WiFi-VLC Networks. | IEEE Trans. Artif. Intell. | 2024 | Link |
| Get Rid of Your Trail: Remotely Erasing Backdoors in Federated Learning. | IEEE Trans. Artif. Intell. | 2024 | Link |
| Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks. | IEEE Trans. Artif. Intell. | 2024 | Link |
| Robust and Verifiable Privacy Federated Learning. | IEEE Trans. Artif. Intell. | 2024 | Link |
| Synergetic Focal Loss for Imbalanced Classification in Federated XGBoost. | IEEE Trans. Artif. Intell. | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| A Federated Dictionary Learning Method for Process Monitoring With Industrial Applications. | IEEE Trans. Artif. Intell. | 2023 | Link |
| FastSlowMo: Federated Learning With Combined Worker and Aggregator Momenta. | IEEE Trans. Artif. Intell. | 2023 | Link |
| Multiparticipant Federated Feature Selection Algorithm With Particle Swarm Optimization for Imbalanced Data Under Privacy Protection. | IEEE Trans. Artif. Intell. | 2023 | Link |
| PIVODL: Privacy-Preserving Vertical Federated Learning Over Distributed Labels. | IEEE Trans. Artif. Intell. | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| Federated Multitask Learning for HyperFace. | IEEE Trans. Artif. Intell. | 2022 | Link |
IEEE Trans. Knowl. Data Eng.
Expand IEEE Trans. Knowl. Data Eng.
2026
| Title | Venue | Year | Link |
|---|---|---|---|
| LightTR+: A Lightweight Incremental Framework for Federated Trajectory Recovery. | IEEE Trans. Knowl. Data Eng. | 2026 | Link |
| Multi-Party Federated Urban Flow Mining and Analysis Based on Lazy Aggregation. | IEEE Trans. Knowl. Data Eng. | 2026 | Link |
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| ${\sf CHASe}$CHASe: Client Heterogeneity-Aware Data Selection for Effective Federated Active Learning. | IEEE Trans. Knowl. Data Eng. | 2025 | Link |
| Analyzing and Enhancing LDP Perturbation Mechanisms in Federated Learning. | IEEE Trans. Knowl. Data Eng. | 2025 | Link |
| CGoFed: Constrained Gradient Optimization Strategy for Federated Class Incremental Learning. | IEEE Trans. Knowl. Data Eng. | 2025 | Link |
| Cafe: Improved Federated Data Imputation by Leveraging Missing Data Heterogeneity. | IEEE Trans. Knowl. Data Eng. | 2025 | Link |
| Enhancing Security and Privacy in Federated Learning Using Low-Dimensional Update Representation and Proximity-Based Defense. | IEEE Trans. Knowl. Data Eng. | 2025 | Link |
| FedDict: Towards Practical Federated Dictionary-Based Time Series Classification. | IEEE Trans. Knowl. Data Eng. | 2025 | Link |
| Federated Graph Neural Networks With Equivalent Hypergraph Construction for Traffic Flow Prediction. | IEEE Trans. Knowl. Data Eng. | 2025 | Link |
| GCPA: GAN-Based Collusive Poisoning Attack in Federated Recommender Systems. | IEEE Trans. Knowl. Data Eng. | 2025 | Link |
| HidAttack: An Effective and Undetectable Model Poisoning Attack to Federated Recommenders. | IEEE Trans. Knowl. Data Eng. | 2025 | Link |
| Personalized Recommendation Models in Federated Settings: A Survey. | IEEE Trans. Knowl. Data Eng. | 2025 | Link |
| Robust and Communication-Efficient Federated Domain Adaptation via Random Features. | IEEE Trans. Knowl. Data Eng. | 2025 | Link |
| Spatio-Temporal Prediction on Streaming Data: A Unified Federated Continuous Learning Framework. | IEEE Trans. Knowl. Data Eng. | 2025 | Link |
| Ten Challenging Problems in Federated Foundation Models. | IEEE Trans. Knowl. Data Eng. | 2025 | Link |
| Vertical Federated Density Peaks Clustering Under Nonlinear Mapping. | IEEE Trans. Knowl. Data Eng. | 2025 | Link |
| Zkfhed: A Verifiable and Scalable Blockchain-Enhanced Federated Learning System. | IEEE Trans. Knowl. Data Eng. | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| A Survey for Federated Learning Evaluations: Goals and Measures. | IEEE Trans. Knowl. Data Eng. | 2024 | Link |
| Adaptive Clustering Based Personalized Federated Learning Framework for Next POI Recommendation With Location Noise. | IEEE Trans. Knowl. Data Eng. | 2024 | Link |
| AiFed: An Adaptive and Integrated Mechanism for Asynchronous Federated Data Mining. | IEEE Trans. Knowl. Data Eng. | 2024 | Link |
| An Experimental Study on Federated Equi-Joins. | IEEE Trans. Knowl. Data Eng. | 2024 | Link |
| BADFL: Backdoor Attack Defense in Federated Learning From Local Model Perspective. | IEEE Trans. Knowl. Data Eng. | 2024 | Link |
| BM-FL: A Balanced Weight Strategy for Multi-Stage Federated Learning Against Multi-Client Data Skewing. | IEEE Trans. Knowl. Data Eng. | 2024 | Link |
| Comprehensive Privacy Analysis on Federated Recommender System Against Attribute Inference Attacks. | IEEE Trans. Knowl. Data Eng. | 2024 | Link |
| Differentially Private Federated Learning on Non-iid Data: Convergence Analysis and Adaptive Optimization. | IEEE Trans. Knowl. Data Eng. | 2024 | Link |
| Distributed Rumor Source Detection via Boosted Federated Learning. | IEEE Trans. Knowl. Data Eng. | 2024 | Link |
| Efficient and Private Federated Trajectory Matching. | IEEE Trans. Knowl. Data Eng. | 2024 | Link |
| FRAMU: Attention-Based Machine Unlearning Using Federated Reinforcement Learning. | IEEE Trans. Knowl. Data Eng. | 2024 | Link |
| FedCORE: Federated Learning for Cross-Organization Recommendation Ecosystem. | IEEE Trans. Knowl. Data Eng. | 2024 | Link |
| FedEAN: Entity-Aware Adversarial Negative Sampling for Federated Knowledge Graph Reasoning. | IEEE Trans. Knowl. Data Eng. | 2024 | Link |
| FedEDB: Building a Federated and Encrypted Data Store via Consortium Blockchains. | IEEE Trans. Knowl. Data Eng. | 2024 | Link |
| Federated Continual Learning via Knowledge Fusion: A Survey. | IEEE Trans. Knowl. Data Eng. | 2024 | Link |
| Federated Learning With Heterogeneous Client Expectations: A Game Theory Approach. | IEEE Trans. Knowl. Data Eng. | 2024 | Link |
| FlGan: GAN-Based Unbiased Federated Learning Under Non-IID Settings. | IEEE Trans. Knowl. Data Eng. | 2024 | Link |
| Is Sharing Neighbor Generator in Federated Graph Learning Safe? | IEEE Trans. Knowl. Data Eng. | 2024 | Link |
| MAP: Model Aggregation and Personalization in Federated Learning With Incomplete Classes. | IEEE Trans. Knowl. Data Eng. | 2024 | Link |
| On Data Distribution Leakage in Cross-Silo Federated Learning. | IEEE Trans. Knowl. Data Eng. | 2024 | Link |
| PrivFusion: Privacy-Preserving Model Fusion via Decentralized Federated Graph Matching. | IEEE Trans. Knowl. Data Eng. | 2024 | Link |
| ProjPert: Projection-Based Perturbation for Label Protection in Split Learning Based Vertical Federated Learning. | IEEE Trans. Knowl. Data Eng. | 2024 | Link |
| Prototype Similarity Distillation for Communication-Efficient Federated Unsupervised Representation Learning. | IEEE Trans. Knowl. Data Eng. | 2024 | Link |
| RFDG: Reinforcement Federated Domain Generalization. | IEEE Trans. Knowl. Data Eng. | 2024 | Link |
| Task Assignment With Efficient Federated Preference Learning in Spatial Crowdsourcing. | IEEE Trans. Knowl. Data Eng. | 2024 | Link |
| Vertical Federated Learning: Concepts, Advances, and Challenges. | IEEE Trans. Knowl. Data Eng. | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| A Game-Theoretic Federated Learning Framework for Data Quality Improvement. | IEEE Trans. Knowl. Data Eng. | 2023 | Link |
| A Robust Game-Theoretical Federated Learning Framework With Joint Differential Privacy. | IEEE Trans. Knowl. Data Eng. | 2023 | Link |
| A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection. | IEEE Trans. Knowl. Data Eng. | 2023 | Link |
| Automated Graph Neural Network Search Under Federated Learning Framework. | IEEE Trans. Knowl. Data Eng. | 2023 | Link |
| Cluster-Based Joins for Federated SPARQL Queries. | IEEE Trans. Knowl. Data Eng. | 2023 | Link |
| Collaborative Semantic Aggregation and Calibration for Federated Domain Generalization. | IEEE Trans. Knowl. Data Eng. | 2023 | Link |
| FedDSR: Daily Schedule Recommendation in a Federated Deep Reinforcement Learning Framework. | IEEE Trans. Knowl. Data Eng. | 2023 | Link |
| Graph-Driven Federated Data Management. | IEEE Trans. Knowl. Data Eng. | 2023 | Link |
| Privacy-Preserving Multi-Granular Federated Neural Architecture Search - A General Framework. | IEEE Trans. Knowl. Data Eng. | 2023 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| A Privacy-Preserving Distributed Contextual Federated Online Learning Framework with Big Data Support in Social Recommender Systems. | IEEE Trans. Knowl. Data Eng. | 2021 | Link |
| Optimizing Multi-Query Evaluation in Federated RDF Systems. | IEEE Trans. Knowl. Data Eng. | 2021 | Link |
2007
| Title | Venue | Year | Link |
|---|---|---|---|
| Engineering a Policy-Based System for Federated Healthcare Databases. | IEEE Trans. Knowl. Data Eng. | 2007 | Link |
IEEE Trans. Big Data
Expand IEEE Trans. Big Data
2026
| Title | Venue | Year | Link |
|---|---|---|---|
| Fast Convergent Federated Learning via Decaying SGD Updates. | IEEE Trans. Big Data | 2026 | Link |
| Optimal Transport Barycentric Aggregation for Byzantine-Resilient Federated Learning. | IEEE Trans. Big Data | 2026 | Link |
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| $ \tt {zkFL}$zkFL: Zero-Knowledge Proof-Based Gradient Aggregation for Federated Learning. | IEEE Trans. Big Data | 2025 | Link |
| A Comprehensive Federated Learning Framework for Diabetic Retinopathy Grading and Lesion Segmentation. | IEEE Trans. Big Data | 2025 | Link |
| A Distributed Generative Adversarial Network for Data Augmentation Under Vertical Federated Learning. | IEEE Trans. Big Data | 2025 | Link |
| A Hybrid Self-Supervised Learning Framework for Vertical Federated Learning. | IEEE Trans. Big Data | 2025 | Link |
| A Theoretical Analysis of Efficiency Constrained Utility-Privacy Bi-Objective Optimization in Federated Learning. | IEEE Trans. Big Data | 2025 | Link |
| AFML: An Asynchronous Federated Meta-Learning Mechanism for Charging Station Occupancy Prediction With Biased and Isolated Data. | IEEE Trans. Big Data | 2025 | Link |
| Accelerating Blockchain-Enabled Federated Learning With Clustered Clients. | IEEE Trans. Big Data | 2025 | Link |
| Advances in Robust Federated Learning: A Survey With Heterogeneity Considerations. | IEEE Trans. Big Data | 2025 | Link |
| Blockchain-Empowered Federated Learning: Benefits, Challenges, and Solutions. | IEEE Trans. Big Data | 2025 | Link |
| Cepe-FL: Communication-Efficient and Privacy-Enhanced Federated Learning Via Adaptive Compressive Sensing. | IEEE Trans. Big Data | 2025 | Link |
| DAG-EnseFL: DAG-Based Asynchronous Federated Learning With Ensemble Distillation. | IEEE Trans. Big Data | 2025 | Link |
| Data-Free Knowledge Filtering and Distillation in Federated Learning. | IEEE Trans. Big Data | 2025 | Link |
| FRACTAL: Data-Aware Clustering and Communication Optimization for Decentralized Federated Learning. | IEEE Trans. Big Data | 2025 | Link |
| Federated Average Clustering Learning Based on Time-Asynchronous Similarity. | IEEE Trans. Big Data | 2025 | Link |
| Federated Multi-View Multi-Label Classification. | IEEE Trans. Big Data | 2025 | Link |
| Guest Editorial Special Issue on Federated Learning for Big Data Applications. | IEEE Trans. Big Data | 2025 | Link |
| Harnessing the Power of Local Supervision in Federated Learning. | IEEE Trans. Big Data | 2025 | Link |
| Heterogeneous Device Collaboration Based Federated Learning for Big Data Applications. | IEEE Trans. Big Data | 2025 | Link |
| LBFL: A Lightweight Blockchain-Based Federated Learning Framework With Proof-of-Contribution Committee Consensus. | IEEE Trans. Big Data | 2025 | Link |
| MemDefense: Defending Against Membership Inference Attacks in IoT-Based Federated Learning via Pruning Perturbations. | IEEE Trans. Big Data | 2025 | Link |
| On the Convergence of Federated Learning Algorithms Without Data Similarity. | IEEE Trans. Big Data | 2025 | Link |
| Personalized Federated Learning With Contrastive Momentum. | IEEE Trans. Big Data | 2025 | Link |
| Reliable Federated Disentangling Network for Non-IID Domain Feature. | IEEE Trans. Big Data | 2025 | Link |
| Robust Privacy-Preserving Federated Item Ranking in Online Marketplaces: Exploiting Platform Reputation for Effective Aggregation. | IEEE Trans. Big Data | 2025 | Link |
| Towards Fair and Scalable Trial Assignment in Federated Bandits: A Shapley Value Approach. | IEEE Trans. Big Data | 2025 | Link |
| Towards Privacy-Preserving Personalized Federated Relation Classification. | IEEE Trans. Big Data | 2025 | Link |
| Update Selective Parameters: Federated Machine Unlearning Based on Model Explanation. | IEEE Trans. Big Data | 2025 | Link |
| Vertical Federated Representation Synthesis for Non-Aligned Samples in the Active Party. | IEEE Trans. Big Data | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| A Federated Convolution Transformer for Fake News Detection. | IEEE Trans. Big Data | 2024 | Link |
| Accelerating Vertical Federated Learning. | IEEE Trans. Big Data | 2024 | Link |
| Adaptive Client Clustering for Efficient Federated Learning Over Non-IID and Imbalanced Data. | IEEE Trans. Big Data | 2024 | Link |
| An Experimental Study of Byzantine-Robust Aggregation Schemes in Federated Learning. | IEEE Trans. Big Data | 2024 | Link |
| Augmented Multi-Party Computation Against Gradient Leakage in Federated Learning. | IEEE Trans. Big Data | 2024 | Link |
| BiG-Fed: Bilevel Optimization Enhanced Graph-Aided Federated Learning. | IEEE Trans. Big Data | 2024 | Link |
| Cascade Vertical Federated Learning Towards Straggler Mitigation and Label Privacy Over Distributed Labels. | IEEE Trans. Big Data | 2024 | Link |
| Decentralized Federated Learning: A Survey on Security and Privacy. | IEEE Trans. Big Data | 2024 | Link |
| Defending Batch-Level Label Inference and Replacement Attacks in Vertical Federated Learning. | IEEE Trans. Big Data | 2024 | Link |
| ESB-FL: Efficient and Secure Blockchain-Based Federated Learning With Fair Payment. | IEEE Trans. Big Data | 2024 | Link |
| Efficient Asynchronous Multi-Participant Vertical Federated Learning. | IEEE Trans. Big Data | 2024 | Link |
| FEVERLESS: Fast and Secure Vertical Federated Learning Based on XGBoost for Decentralized Labels. | IEEE Trans. Big Data | 2024 | Link |
| FedFAIM: A Model Performance-Based Fair Incentive Mechanism for Federated Learning. | IEEE Trans. Big Data | 2024 | Link |
| FedGE: Break the Scalability Limitation of Graph Neural Network With Federated Graph Embedding. | IEEE Trans. Big Data | 2024 | Link |
| Federated Meta Embedding Concept Stock Recommendation. | IEEE Trans. Big Data | 2024 | Link |
| Fine-Tuned Personality Federated Learning for Graph Data. | IEEE Trans. Big Data | 2024 | Link |
| Improved Gradient Inversion Attacks and Defenses in Federated Learning. | IEEE Trans. Big Data | 2024 | Link |
| Learning Critically: Selective Self-Distillation in Federated Learning on Non-IID Data. | IEEE Trans. Big Data | 2024 | Link |
| MarS-FL: Enabling Competitors to Collaborate in Federated Learning. | IEEE Trans. Big Data | 2024 | Link |
| Mix2SFL: Two-Way Mixup for Scalable, Accurate, and Communication-Efficient Split Federated Learning. | IEEE Trans. Big Data | 2024 | Link |
| Multi-Party Federated Recommendation Based on Semi-Supervised Learning. | IEEE Trans. Big Data | 2024 | Link |
| Personalized Federated Learning With Adaptive Batchnorm for Healthcare. | IEEE Trans. Big Data | 2024 | Link |
| Practical Attribute Reconstruction Attack Against Federated Learning. | IEEE Trans. Big Data | 2024 | Link |
| Practical Vertical Federated Learning With Unsupervised Representation Learning. | IEEE Trans. Big Data | 2024 | Link |
| Privacy-Preserving Federated Adversarial Domain Adaptation Over Feature Groups for Interpretability. | IEEE Trans. Big Data | 2024 | Link |
| Reputation-Aware Federated Learning Client Selection Based on Stochastic Integer Programming. | IEEE Trans. Big Data | 2024 | Link |
| Research of Federated Learning Application Methods and Social Responsibility. | IEEE Trans. Big Data | 2024 | Link |
| SBPA: Sybil-Based Backdoor Poisoning Attacks for Distributed Big Data in AIoT-Based Federated Learning System. | IEEE Trans. Big Data | 2024 | Link |
| Towards Effective Clustered Federated Learning: A Peer-to-Peer Framework With Adaptive Neighbor Matching. | IEEE Trans. Big Data | 2024 | Link |
| WTDP-Shapley: Efficient and Effective Incentive Mechanism in Federated Learning for Intelligent Safety Inspection. | IEEE Trans. Big Data | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| A Cost-Driven Top-K Queries Optimization Approach on Federated RDF Systems. | IEEE Trans. Big Data | 2023 | Link |
| FedCKE: Cross-Domain Knowledge Graph Embedding in Federated Learning. | IEEE Trans. Big Data | 2023 | Link |
| Optimizing Keyword Search Over Federated RDF Systems. | IEEE Trans. Big Data | 2023 | Link |
| Privacy and Efficiency of Communications in Federated Split Learning. | IEEE Trans. Big Data | 2023 | Link |
| Quality Inference in Federated Learning With Secure Aggregation. | IEEE Trans. Big Data | 2023 | Link |
| Self-Supervised Federated Adaptation for Multi-Site Brain Disease Diagnosis. | IEEE Trans. Big Data | 2023 | Link |
| Towards Efficient Synchronous Federated Training: A Survey on System Optimization Strategies. | IEEE Trans. Big Data | 2023 | Link |
| Towards Privacy-Aware Causal Structure Learning in Federated Setting. | IEEE Trans. Big Data | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| Federated Forest. | IEEE Trans. Big Data | 2022 | Link |
2020
| Title | Venue | Year | Link |
|---|---|---|---|
| CloudFinder: A System for Processing Big Data Workloads on Volunteered Federated Clouds. | IEEE Trans. Big Data | 2020 | Link |
IEEE Trans. Cybern.
Expand IEEE Trans. Cybern.
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| Differential Privacy Enabled Robust Asynchronous Federated Multitask Learning: A Multigradient Descent Approach. | IEEE Trans. Cybern. | 2025 | Link |
| FedCoSR: Personalized Federated Learning With Contrastive Shareable Representations for Label Heterogeneity in Non-IID Data. | IEEE Trans. Cybern. | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| FedDBL: Communication and Data Efficient Federated Deep-Broad Learning for Histopathological Tissue Classification. | IEEE Trans. Cybern. | 2024 | Link |
| FedLGA: Toward System-Heterogeneity of Federated Learning via Local Gradient Approximation. | IEEE Trans. Cybern. | 2024 | Link |
| Selective Trimmed Average: A Resilient Federated Learning Algorithm With Deterministic Guarantees on the Optimality Approximation. | IEEE Trans. Cybern. | 2024 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| Federated Continuous Learning With Broad Network Architecture. | IEEE Trans. Cybern. | 2021 | Link |
IEEE Trans. Medical Imaging
Expand IEEE Trans. Medical Imaging
2026
| Title | Venue | Year | Link |
|---|---|---|---|
| Improving Learning of New Diseases Through Knowledge-Enhanced Initialization for Federated Adapter Tuning. | IEEE Trans. Medical Imaging | 2026 | Link |
| LLM-Driven Medical Report Generation via Communication-Efficient Heterogeneous Federated Learning. | IEEE Trans. Medical Imaging | 2026 | Link |
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| Communication Efficient Federated Learning for Multi-Organ Segmentation via Knowledge Distillation With Image Synthesis. | IEEE Trans. Medical Imaging | 2025 | Link |
| DEeR: Deviation Eliminating and Noise Regulating for Privacy-Preserving Federated Low-Rank Adaptation. | IEEE Trans. Medical Imaging | 2025 | Link |
| Decentralized Personalization for Federated Medical Image Segmentation via Gossip Contrastive Mutual Learning. | IEEE Trans. Medical Imaging | 2025 | Link |
| Dynamic Client Distillation for Semi-Supervised Federated Learning in a Realistic Scenario. | IEEE Trans. Medical Imaging | 2025 | Link |
| FedBCD: Federated Ultrasound Video and Image Joint Learning for Breast Cancer Diagnosis. | IEEE Trans. Medical Imaging | 2025 | Link |
| FedDAG: Federated Domain Adversarial Generation Toward Generalizable Medical Image Analysis. | IEEE Trans. Medical Imaging | 2025 | Link |
| FedLPPA: Learning Personalized Prompt and Aggregation for Federated Weakly-Supervised Medical Image Segmentation. | IEEE Trans. Medical Imaging | 2025 | Link |
| Generalizable Reconstruction for Accelerating MR Imaging via Federated Learning With Neural Architecture Search. | IEEE Trans. Medical Imaging | 2025 | Link |
| Multi-Modal Federated Learning for Cancer Staging Over Non-IID Datasets With Unbalanced Modalities. | IEEE Trans. Medical Imaging | 2025 | Link |
| Tackling Modality-Heterogeneous Client Drift Holistically for Heterogeneous Multimodal Federated Learning. | IEEE Trans. Medical Imaging | 2025 | Link |
| Toward Integrating Federated Learning With Split Learning via Spatio-Temporal Graph Framework for Brain Disease Prediction. | IEEE Trans. Medical Imaging | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| FedDP: Dual Personalization in Federated Medical Image Segmentation. | IEEE Trans. Medical Imaging | 2024 | Link |
| FedOSS: Federated Open Set Recognition via Inter-Client Discrepancy and Collaboration. | IEEE Trans. Medical Imaging | 2024 | Link |
| Federated Semi-Supervised Medical Image Segmentation via Prototype-Based Pseudo-Labeling and Contrastive Learning. | IEEE Trans. Medical Imaging | 2024 | Link |
| Model-Heterogeneous Semi-Supervised Federated Learning for Medical Image Segmentation. | IEEE Trans. Medical Imaging | 2024 | Link |
| Pseudo-Data Based Self-Supervised Federated Learning for Classification of Histopathological Images. | IEEE Trans. Medical Imaging | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| A Federated Learning System for Histopathology Image Analysis With an Orchestral Stain-Normalization GAN. | IEEE Trans. Medical Imaging | 2023 | Link |
| Do Gradient Inversion Attacks Make Federated Learning Unsafe? | IEEE Trans. Medical Imaging | 2023 | Link |
| FedDM: Federated Weakly Supervised Segmentation via Annotation Calibration and Gradient De-Conflicting. | IEEE Trans. Medical Imaging | 2023 | Link |
| FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation. | IEEE Trans. Medical Imaging | 2023 | Link |
| FedNI: Federated Graph Learning With Network Inpainting for Population-Based Disease Prediction. | IEEE Trans. Medical Imaging | 2023 | Link |
| Federated Active Learning for Multicenter Collaborative Disease Diagnosis. | IEEE Trans. Medical Imaging | 2023 | Link |
| Federated Brain Graph Evolution Prediction Using Decentralized Connectivity Datasets With Temporally-Varying Acquisitions. | IEEE Trans. Medical Imaging | 2023 | Link |
| Federated Cycling (FedCy): Semi-Supervised Federated Learning of Surgical Phases. | IEEE Trans. Medical Imaging | 2023 | Link |
| Federated Domain Adaptation via Transformer for Multi-Site Alzheimer's Disease Diagnosis. | IEEE Trans. Medical Imaging | 2023 | Link |
| Federated Learning With Privacy-Preserving Ensemble Attention Distillation. | IEEE Trans. Medical Imaging | 2023 | Link |
| Federated Learning of Generative Image Priors for MRI Reconstruction. | IEEE Trans. Medical Imaging | 2023 | Link |
| Federated Multi-Organ Segmentation With Inconsistent Labels. | IEEE Trans. Medical Imaging | 2023 | Link |
| Federated Partially Supervised Learning With Limited Decentralized Medical Images. | IEEE Trans. Medical Imaging | 2023 | Link |
| Guest Editorial Special Issue on Federated Learning for Medical Imaging: Enabling Collaborative Development of Robust AI Models. | IEEE Trans. Medical Imaging | 2023 | Link |
| IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation. | IEEE Trans. Medical Imaging | 2023 | Link |
| Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging. | IEEE Trans. Medical Imaging | 2023 | Link |
| Proportionally Fair Hospital Collaborations in Federated Learning of Histopathology Images. | IEEE Trans. Medical Imaging | 2023 | Link |
| Specificity-Preserving Federated Learning for MR Image Reconstruction. | IEEE Trans. Medical Imaging | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| Personalized Retrogress-Resilient Federated Learning Toward Imbalanced Medical Data. | IEEE Trans. Medical Imaging | 2022 | Link |
IEEE Trans. Syst. Man Cybern. Syst.
Expand IEEE Trans. Syst. Man Cybern. Syst.
2026
| Title | Venue | Year | Link |
|---|---|---|---|
| PfoPG: A Personalized Federated First-Order Policy Gradient Algorithm and Its Nonasymptotic Analysis. | IEEE Trans. Syst. Man Cybern. Syst. | 2026 | Link |
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| An Adaptive Federated Fuzzy C-Means Clustering With Nonindependently and Identically Distributed Data. | IEEE Trans. Syst. Man Cybern. Syst. | 2025 | Link |
| EPFL: Toward Elastic Personalized Federated Learning With Seamless Client Joining and Quitting. | IEEE Trans. Syst. Man Cybern. Syst. | 2025 | Link |
| FedRPS: A Lightweight Federated Learning System Based on Rotated Partial Secret Sharing for Industrial Cellular Networks. | IEEE Trans. Syst. Man Cybern. Syst. | 2025 | Link |
| Vaccination Against Backdoor Attacks on Federated Learning Systems. | IEEE Trans. Syst. Man Cybern. Syst. | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| Heterogeneous Federated Domain Generalization Network With Common Representation Learning for Cross-Load Machinery Fault Diagnosis. | IEEE Trans. Syst. Man Cybern. Syst. | 2024 | Link |
| Privacy-Preserving Realization of Fuzzy Clustering and Fuzzy Modeling Through Vertical Federated Learning. | IEEE Trans. Syst. Man Cybern. Syst. | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| Data-Driven Participant Selection and Bandwidth Allocation for Heterogeneous Federated Edge Learning. | IEEE Trans. Syst. Man Cybern. Syst. | 2023 | Link |
| Decentralized Autonomous Operations and Organizations in TransVerse: Federated Intelligence for Smart Mobility. | IEEE Trans. Syst. Man Cybern. Syst. | 2023 | Link |
| FedStream: Prototype-Based Federated Learning on Distributed Concept-Drifting Data Streams. | IEEE Trans. Syst. Man Cybern. Syst. | 2023 | Link |
| Federated Active Semi-Supervised Learning With Communication Efficiency. | IEEE Trans. Syst. Man Cybern. Syst. | 2023 | Link |
IEEE Trans. Emerg. Top. Comput. Intell.
Expand IEEE Trans. Emerg. Top. Comput. Intell.
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| A Cross-Domain Recommendation Model Based on Asymmetric Vertical Federated Learning and Heterogeneous Representation. | IEEE Trans. Emerg. Top. Comput. Intell. | 2025 | Link |
| AdaFML: Adaptive Federated Meta Learning With Multi-Objectives and Context-Awareness in Dynamic Heterogeneous Networks. | IEEE Trans. Emerg. Top. Comput. Intell. | 2025 | Link |
| Content-Aware Caching at the Mobile Edge Network Using Federated Learning. | IEEE Trans. Emerg. Top. Comput. Intell. | 2025 | Link |
| Enhancing Federated Learning Through Differential Privacy: Introducing FedHybrid for Multicenter Diverse Heart Disease Datasets. | IEEE Trans. Emerg. Top. Comput. Intell. | 2025 | Link |
| Exploitation Maximization of Unlabeled Data for Federated Semi-Supervised Learning. | IEEE Trans. Emerg. Top. Comput. Intell. | 2025 | Link |
| FLAME: Federated Learning With Masked Autoencoders and Mean-Prototypes Embedding for Sparsely Labeled Medical Images. | IEEE Trans. Emerg. Top. Comput. Intell. | 2025 | Link |
| FedCGP: Cluster-Based Gradual Personalization for Federated Medical Image Segmentation. | IEEE Trans. Emerg. Top. Comput. Intell. | 2025 | Link |
| FedLaw: Value-Aware Federated Learning With Individual Fairness and Coalition Stability. | IEEE Trans. Emerg. Top. Comput. Intell. | 2025 | Link |
| FedSlate: A Federated Deep Reinforcement Learning Recommender System. | IEEE Trans. Emerg. Top. Comput. Intell. | 2025 | Link |
| Heterogeneity-Aware Clustering and Intra-Cluster Uniform Data Sampling for Federated Learning. | IEEE Trans. Emerg. Top. Comput. Intell. | 2025 | Link |
| Incentivized Federated Learning: A Survey. | IEEE Trans. Emerg. Top. Comput. Intell. | 2025 | Link |
| K-Core Structure Feature Encoding-Based Enhanced Federated Graph Learning Framework. | IEEE Trans. Emerg. Top. Comput. Intell. | 2025 | Link |
| Privacy-Enhanced Federated GNN Inference Against Adversarial Example Attack. | IEEE Trans. Emerg. Top. Comput. Intell. | 2025 | Link |
| PurifyFL: Non-Interactive Privacy-Preserving Federated Learning Against Poisoning Attacks Based on Single Server. | IEEE Trans. Emerg. Top. Comput. Intell. | 2025 | Link |
| SynFlowFL: A Dynamic Synaptic Flow Framework for Efficient, Personalized Federated Learning. | IEEE Trans. Emerg. Top. Comput. Intell. | 2025 | Link |
| TiFedCrowd: Federated Crowdsourcing With Time-Controlled Incentive. | IEEE Trans. Emerg. Top. Comput. Intell. | 2025 | Link |
| Trustworthy Federated Fine-Tuning for Industrial Chains Demand Forecasting. | IEEE Trans. Emerg. Top. Comput. Intell. | 2025 | Link |
| Unsupervised Speaker Diarization in Distributed IoT Networks Using Federated Learning. | IEEE Trans. Emerg. Top. Comput. Intell. | 2025 | Link |
| VFFG: Verifiable Privacy-Enhanced Federated Fine-Tuning for GPT Service. | IEEE Trans. Emerg. Top. Comput. Intell. | 2025 | Link |
| VFL+: Low-Coupling Vertical Federated Learning With Privileged Information Paradigm. | IEEE Trans. Emerg. Top. Comput. Intell. | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| A Secure Federated Data-Driven Evolutionary Multi-Objective Optimization Algorithm. | IEEE Trans. Emerg. Top. Comput. Intell. | 2024 | Link |
| Augmented Intelligence Based COVID-19 Diagnostics and Deep Feature Categorization Based on Federated Learning. | IEEE Trans. Emerg. Top. Comput. Intell. | 2024 | Link |
| Centralized and Federated Learning for COVID-19 Detection With Chest X-Ray Images: Implementations and Analysis. | IEEE Trans. Emerg. Top. Comput. Intell. | 2024 | Link |
| Differential Privacy-Preserving of Multi-Party Collaboration Under Federated Learning in Data Center Networks. | IEEE Trans. Emerg. Top. Comput. Intell. | 2024 | Link |
| FedSG: A Personalized Subgraph Federated Learning Framework on Multiple Non-IID Graphs. | IEEE Trans. Emerg. Top. Comput. Intell. | 2024 | Link |
| Generalizable Segmentation of COVID-19 Infection From Multi-Site Tomography Scans: A Federated Learning Framework. | IEEE Trans. Emerg. Top. Comput. Intell. | 2024 | Link |
| Time-Sensitive Federated Learning With Heterogeneous Training Intensity: A Deep Reinforcement Learning Approach. | IEEE Trans. Emerg. Top. Comput. Intell. | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| An Efficient Federated Genetic Programming Framework for Symbolic Regression. | IEEE Trans. Emerg. Top. Comput. Intell. | 2023 | Link |
| Communication Efficient Federated Learning With Heterogeneous Structured Client Models. | IEEE Trans. Emerg. Top. Comput. Intell. | 2023 | Link |
| Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges. | IEEE Trans. Emerg. Top. Comput. Intell. | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| FedPCC: Parallelism of Communication and Computation for Federated Learning in Wireless Networks. | IEEE Trans. Emerg. Top. Comput. Intell. | 2022 | Link |
| Heterogeneous Semi-Asynchronous Federated Learning in Internet of Things: A Multi-Armed Bandit Approach. | IEEE Trans. Emerg. Top. Comput. Intell. | 2022 | Link |
IEEE Trans. Emerg. Top. Comput.
Expand IEEE Trans. Emerg. Top. Comput.
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| A Novel Prediction Technique for Federated Learning. | IEEE Trans. Emerg. Top. Comput. | 2025 | Link |
| Asyn2F: An Asynchronous Federated Learning Framework With Bidirectional Model Aggregation. | IEEE Trans. Emerg. Top. Comput. | 2025 | Link |
| FedRDF: A Robust and Dynamic Aggregation Function Against Poisoning Attacks in Federated Learning. | IEEE Trans. Emerg. Top. Comput. | 2025 | Link |
| Federated Learning Approach for Collaborative and Secure Smart Healthcare Applications. | IEEE Trans. Emerg. Top. Comput. | 2025 | Link |
| HIFLA: Hilbert-Inspired Federated Learning via Action Principles. | IEEE Trans. Emerg. Top. Comput. | 2025 | Link |
| Incentive Mechanism Design for Hierarchical Federated Learning With Selfishness Queue Stability. | IEEE Trans. Emerg. Top. Comput. | 2025 | Link |
| Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics. | IEEE Trans. Emerg. Top. Comput. | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| Blockchain-Based Federated Learning With SMPC Model Verification Against Poisoning Attack for Healthcare Systems. | IEEE Trans. Emerg. Top. Comput. | 2024 | Link |
| Personalized Privacy-Preserving Framework for Cross-Silo Federated Learning. | IEEE Trans. Emerg. Top. Comput. | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| Efficient Vertical Federated Learning Method for Ridge Regression of Large-Scale Samples. | IEEE Trans. Emerg. Top. Comput. | 2023 | Link |
| FINISH: Efficient and Scalable NMF-Based Federated Learning for Detecting Malware Activities. | IEEE Trans. Emerg. Top. Comput. | 2023 | Link |
| Resource-Aware Knowledge Distillation for Federated Learning. | IEEE Trans. Emerg. Top. Comput. | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| A Survey of Incentive Mechanism Design for Federated Learning. | IEEE Trans. Emerg. Top. Comput. | 2022 | Link |
| Fuzzy Clustered Federated Learning Algorithm for Solar Power Generation Forecasting. | IEEE Trans. Emerg. Top. Comput. | 2022 | Link |
| HCP: Heterogeneous Computing Platform for Federated Learning Based Collaborative Content Caching Towards 6G Networks. | IEEE Trans. Emerg. Top. Comput. | 2022 | Link |
| Secrecy Driven Federated Learning via Cooperative Jamming: An Approach of Latency Minimization. | IEEE Trans. Emerg. Top. Comput. | 2022 | Link |
IEEE Trans. Intell. Transp. Syst.
Expand IEEE Trans. Intell. Transp. Syst.
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| A Multi-Agent Federated Reinforcement Learning-Based Cooperative Vehicle-Infrastructure Control Approach Framework for Roundabouts. | IEEE Trans. Intell. Transp. Syst. | 2025 | Link |
| A Multi-Rank Federated Distillation Framework for Data-Imbalance Fault Diagnosis of Multi-Railway High-Speed Train Bogies. | IEEE Trans. Intell. Transp. Syst. | 2025 | Link |
| A Preference-Based Multi-Agent Federated Reinforcement Learning Algorithm Framework for Trustworthy Interactive Urban Autonomous Driving. | IEEE Trans. Intell. Transp. Syst. | 2025 | Link |
| A Resource Allocation Strategy in Internet of Vehicles Based on Multi-Task Federated Learning and Incentive Mechanism. | IEEE Trans. Intell. Transp. Syst. | 2025 | Link |
| Advancing Intrusion Detection in V2X Networks: A Comprehensive Survey on Machine Learning, Federated Learning, and Edge AI for V2X Security. | IEEE Trans. Intell. Transp. Syst. | 2025 | Link |
| An Active Client Selection Scheme Based on Blockchain for Federated Learning in Shipping. | IEEE Trans. Intell. Transp. Syst. | 2025 | Link |
| Clustered Federated Learning With Adaptive Pruning for 6G Edge-Intelligent Transportation. | IEEE Trans. Intell. Transp. Syst. | 2025 | Link |
| DAG Blockchain-Assisted Asynchronous Federated Mutual Learning for Autonomous Driving. | IEEE Trans. Intell. Transp. Syst. | 2025 | Link |
| Dual Model Pruning Enables Efficient Federated Learning in Intelligent Transportation Systems. | IEEE Trans. Intell. Transp. Syst. | 2025 | Link |
| Efficient Federated Connected Electric Vehicle Scheduling System: A Noncooperative Online Incentive Approach. | IEEE Trans. Intell. Transp. Syst. | 2025 | Link |
| Efficient Vehicle Selection and Resource Allocation for Knowledge Distillation-Based Federated Learning in UAV-Assisted VEC. | IEEE Trans. Intell. Transp. Syst. | 2025 | Link |
| Energy-Efficient Federated Learning Training Optimization for Digital Twin Driven 6G Air-Ground Integrated Vehicular Networks. | IEEE Trans. Intell. Transp. Syst. | 2025 | Link |
| Enhancing Federated Learning in Connected and Autonomous Vehicles Through Cost Optimization and Advanced Model Selection. | IEEE Trans. Intell. Transp. Syst. | 2025 | Link |
| FLCSDet: Federated Learning-Driven Cross-Spatial Vessel Detection for Maritime Surveillance With Privacy Preservation. | IEEE Trans. Intell. Transp. Syst. | 2025 | Link |
| FMD-IoV: Security and Robust Enhancement for Federated Multi-Domain Learning-Based IoV. | IEEE Trans. Intell. Transp. Syst. | 2025 | Link |
| Fair Federated Learning for Multi-Task 6G NWDAF Network Anomaly Detection. | IEEE Trans. Intell. Transp. Syst. | 2025 | Link |
| Fast-Convergent and Communication-Alleviated Heterogeneous Hierarchical Federated Learning in Autonomous Driving. | IEEE Trans. Intell. Transp. Syst. | 2025 | Link |
| Federated Deep Reinforcement Learning-Based Intelligent Surface Configuration in 6G Secure Airport Networks. | IEEE Trans. Intell. Transp. Syst. | 2025 | Link |
| Federated Learning and Digital Twin-Enabled Distributed Intelligence Framework for 6G Autonomous Transport Systems. | IEEE Trans. Intell. Transp. Syst. | 2025 | Link |
| Federated Learning-Based Resource Allocation for V2X Communications. | IEEE Trans. Intell. Transp. Syst. | 2025 | Link |
| Federated Transfer Learning for Privacy-Preserved Cross-City Traffic Flow Prediction. | IEEE Trans. Intell. Transp. Syst. | 2025 | Link |
| Network-State-Intelligent Learning Rate Optimization for Federated Streaming Models in Smart Transportation. | IEEE Trans. Intell. Transp. Syst. | 2025 | Link |
| PSFL: Personalized Split Federated Learning Framework for Distributed Model Training in Intelligent Transportation Systems. | IEEE Trans. Intell. Transp. Syst. | 2025 | Link |
| REFOL: Resource-Efficient Federated Online Learning for Traffic Flow Forecasting. | IEEE Trans. Intell. Transp. Syst. | 2025 | Link |
| Security-Enhanced Spatiotemporal Ride-Hailing Demand Prediction - Part I: Horizontal Federated Learning. | IEEE Trans. Intell. Transp. Syst. | 2025 | Link |
| Security-Enhanced Spatiotemporal Ride-Hailing Demand Prediction - Part II: Vertical Federated Learning. | IEEE Trans. Intell. Transp. Syst. | 2025 | Link |
| Traffic Prediction Based on Formal Concept-Enhanced Federated Graph Learning. | IEEE Trans. Intell. Transp. Syst. | 2025 | Link |
| Unsupervised Domain Adaptive Vehicle Re-Identification: A Federated Learning Scheme. | IEEE Trans. Intell. Transp. Syst. | 2025 | Link |
| iFLOW: An Intelligent and Scalable Multi-Model Federated Learning Framework on the Wheels. | IEEE Trans. Intell. Transp. Syst. | 2025 | Link |
| pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving. | IEEE Trans. Intell. Transp. Syst. | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| A Multi-Modal Tensor Ring Decomposition for Communication-Efficient and Trustworthy Federated Learning for ITS in COVID-19 Scenario. | IEEE Trans. Intell. Transp. Syst. | 2024 | Link |
| A Secure Personalized Federated Learning Algorithm for Autonomous Driving. | IEEE Trans. Intell. Transp. Syst. | 2024 | Link |
| AFM3D: An Asynchronous Federated Meta-Learning Framework for Driver Distraction Detection. | IEEE Trans. Intell. Transp. Syst. | 2024 | Link |
| Adaptive Segmentation Enhanced Asynchronous Federated Learning for Sustainable Intelligent Transportation Systems. | IEEE Trans. Intell. Transp. Syst. | 2024 | Link |
| Adaptive Traffic Prediction at the ITS Edge With Online Models and Blockchain-Based Federated Learning. | IEEE Trans. Intell. Transp. Syst. | 2024 | Link |
| Blockchain-Enabled Federated Learning for Enhanced Collaborative Intrusion Detection in Vehicular Edge Computing. | IEEE Trans. Intell. Transp. Syst. | 2024 | Link |
| Contract Theory Based Incentive Mechanism for Clustered Vehicular Federated Learning. | IEEE Trans. Intell. Transp. Syst. | 2024 | Link |
| Cost-Efficient Edge Federated Learning Over Multiple Base Stations for the ITS Based on Connected and Autonomous Vehicles. | IEEE Trans. Intell. Transp. Syst. | 2024 | Link |
| DMITS: Dependency and Mobility-Aware Intelligent Task Scheduling in Socially-Enabled VFC Based on Federated DRL Approach. | IEEE Trans. Intell. Transp. Syst. | 2024 | Link |
| Digital Twin-Enabled Efficient Federated Learning for Collision Warning in Intelligent Driving. | IEEE Trans. Intell. Transp. Syst. | 2024 | Link |
| FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units. | IEEE Trans. Intell. Transp. Syst. | 2024 | Link |
| FedShip: Federated Over-the-Air Learning for Communication-Efficient and Privacy-Aware Smart Shipping in 6G Communications. | IEEE Trans. Intell. Transp. Syst. | 2024 | Link |
| Federated Learning Enabled Credit Priority Task Processing for Transportation Big Data. | IEEE Trans. Intell. Transp. Syst. | 2024 | Link |
| Federated Learning in Intelligent Transportation Systems: Recent Applications and Open Problems. | IEEE Trans. Intell. Transp. Syst. | 2024 | Link |
| Joint Partial Offloading and Resource Allocation for Vehicular Federated Learning Tasks. | IEEE Trans. Intell. Transp. Syst. | 2024 | Link |
| Multi-Process Federated Learning With Stacking for Securing 6G-V2X Network Slicing at Cross-Borders. | IEEE Trans. Intell. Transp. Syst. | 2024 | Link |
| Multimodal Transport Demand Forecasting via Federated Learning. | IEEE Trans. Intell. Transp. Syst. | 2024 | Link |
| Online Spatio-Temporal Correlation-Based Federated Learning for Traffic Flow Forecasting. | IEEE Trans. Intell. Transp. Syst. | 2024 | Link |
| Privacy-Preserving Federated Deep Reinforcement Learning for Mobility-as-a-Service. | IEEE Trans. Intell. Transp. Syst. | 2024 | Link |
| RCFL: Redundancy-Aware Collaborative Federated Learning in Vehicular Networks. | IEEE Trans. Intell. Transp. Syst. | 2024 | Link |
| Range-Constrained and Stable Federated Charging Scheme for Electricity Vehicles. | IEEE Trans. Intell. Transp. Syst. | 2024 | Link |
| Samp-DSGD: Link Reliability Sampling Based Federated Learning for Vehicular Networks. | IEEE Trans. Intell. Transp. Syst. | 2024 | Link |
| Toward Efficient and Secure Object Detection With Sparse Federated Training Over Internet of Vehicles. | IEEE Trans. Intell. Transp. Syst. | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| A Federated Learning Approach With Imperfect Labels in LoRa-Based Transportation Systems. | IEEE Trans. Intell. Transp. Syst. | 2023 | Link |
| A Federated Learning-Based Edge Caching Approach for Mobile Edge Computing-Enabled Intelligent Connected Vehicles. | IEEE Trans. Intell. Transp. Syst. | 2023 | Link |
| A Federated Platform Enabling a Systematic Collaboration Among Devices, Data and Functions for Smart Mobility. | IEEE Trans. Intell. Transp. Syst. | 2023 | Link |
| A Selective Federated Reinforcement Learning Strategy for Autonomous Driving. | IEEE Trans. Intell. Transp. Syst. | 2023 | Link |
| AI-Empowered Trajectory Anomaly Detection for Intelligent Transportation Systems: A Hierarchical Federated Learning Approach. | IEEE Trans. Intell. Transp. Syst. | 2023 | Link |
| An Incentive Mechanism of Incorporating Supervision Game for Federated Learning in Autonomous Driving. | IEEE Trans. Intell. Transp. Syst. | 2023 | Link |
| Asynchronous Federated Deep Reinforcement Learning-Based URLLC-Aware Computation Offloading in Space-Assisted Vehicular Networks. | IEEE Trans. Intell. Transp. Syst. | 2023 | Link |
| DisBezant: Secure and Robust Federated Learning Against Byzantine Attack in IoT-Enabled MTS. | IEEE Trans. Intell. Transp. Syst. | 2023 | Link |
| Enhanced Federated Learning for Edge Data Security in Intelligent Transportation Systems. | IEEE Trans. Intell. Transp. Syst. | 2023 | Link |
| FedCrack: Federated Transfer Learning With Unsupervised Representation for Crack Detection. | IEEE Trans. Intell. Transp. Syst. | 2023 | Link |
| FedSTN: Graph Representation Driven Federated Learning for Edge Computing Enabled Urban Traffic Flow Prediction. | IEEE Trans. Intell. Transp. Syst. | 2023 | Link |
| Federated Deep Reinforcement Learning-Based Spectrum Access Algorithm With Warranty Contract in Intelligent Transportation Systems. | IEEE Trans. Intell. Transp. Syst. | 2023 | Link |
| Federated Multidomain Learning With Graph Ensemble Autoencoder GMM for Emotion Recognition. | IEEE Trans. Intell. Transp. Syst. | 2023 | Link |
| Federated Representation Learning With Data Heterogeneity for Human Mobility Prediction. | IEEE Trans. Intell. Transp. Syst. | 2023 | Link |
| Integrating Model Predictive Control With Federated Reinforcement Learning for Decentralized Energy Management of Fuel Cell Vehicles. | IEEE Trans. Intell. Transp. Syst. | 2023 | Link |
| Intrusion Detection for Maritime Transportation Systems With Batch Federated Aggregation. | IEEE Trans. Intell. Transp. Syst. | 2023 | Link |
| Joint Air-Ground Distributed Federated Learning for Intelligent Transportation Systems. | IEEE Trans. Intell. Transp. Syst. | 2023 | Link |
| OQFL: An Optimized Quantum-Based Federated Learning Framework for Defending Against Adversarial Attacks in Intelligent Transportation Systems. | IEEE Trans. Intell. Transp. Syst. | 2023 | Link |
| On the Feasibility of Split Learning, Transfer Learning and Federated Learning for Preserving Security in ITS Systems. | IEEE Trans. Intell. Transp. Syst. | 2023 | Link |
| Participant Selection for Federated Learning With Heterogeneous Data in Intelligent Transport System. | IEEE Trans. Intell. Transp. Syst. | 2023 | Link |
| Short-Term Traffic Flow Prediction Based on Graph Convolutional Networks and Federated Learning. | IEEE Trans. Intell. Transp. Syst. | 2023 | Link |
| Toward Optimal MEC-Based Collision Avoidance System for Cooperative Inland Vessels: A Federated Deep Learning Approach. | IEEE Trans. Intell. Transp. Syst. | 2023 | Link |
| Toward Robust Hierarchical Federated Learning in Internet of Vehicles. | IEEE Trans. Intell. Transp. Syst. | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| Clustered Vehicular Federated Learning: Process and Optimization. | IEEE Trans. Intell. Transp. Syst. | 2022 | Link |
| Cross-Area Travel Time Uncertainty Estimation From Trajectory Data: A Federated Learning Approach. | IEEE Trans. Intell. Transp. Syst. | 2022 | Link |
| Energy-Aware Blockchain and Federated Learning-Supported Vehicular Networks. | IEEE Trans. Intell. Transp. Syst. | 2022 | Link |
| FEEL: Federated End-to-End Learning With Non-IID Data for Vehicular Ad Hoc Networks. | IEEE Trans. Intell. Transp. Syst. | 2022 | Link |
| FedCPF: An Efficient-Communication Federated Learning Approach for Vehicular Edge Computing in 6G Communication Networks. | IEEE Trans. Intell. Transp. Syst. | 2022 | Link |
| FedServ: Federated Task Service in Fog-Enabled Internet of Vehicles. | IEEE Trans. Intell. Transp. Syst. | 2022 | Link |
| Federated Intrusion Detection in Blockchain-Based Smart Transportation Systems. | IEEE Trans. Intell. Transp. Syst. | 2022 | Link |
| Joint Optimal Quantization and Aggregation of Federated Learning Scheme in VANETs. | IEEE Trans. Intell. Transp. Syst. | 2022 | Link |
| Mobile Charging Station Placements in Internet of Electric Vehicles: A Federated Learning Approach. | IEEE Trans. Intell. Transp. Syst. | 2022 | Link |
| Privacy-Preserved Federated Learning for Autonomous Driving. | IEEE Trans. Intell. Transp. Syst. | 2022 | Link |
| Semi-Supervised Federated Learning for Travel Mode Identification From GPS Trajectories. | IEEE Trans. Intell. Transp. Syst. | 2022 | Link |
| Vehicle Selection and Resource Optimization for Federated Learning in Vehicular Edge Computing. | IEEE Trans. Intell. Transp. Syst. | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| A Hierarchical Blockchain-Enabled Federated Learning Algorithm for Knowledge Sharing in Internet of Vehicles. | IEEE Trans. Intell. Transp. Syst. | 2021 | Link |
| Joint Auction-Coalition Formation Framework for Communication-Efficient Federated Learning in UAV-Enabled Internet of Vehicles. | IEEE Trans. Intell. Transp. Syst. | 2021 | Link |
| Mobility-Aware Proactive Edge Caching for Connected Vehicles Using Federated Learning. | IEEE Trans. Intell. Transp. Syst. | 2021 | Link |
| Towards Federated Learning in UAV-Enabled Internet of Vehicles: A Multi-Dimensional Contract-Matching Approach. | IEEE Trans. Intell. Transp. Syst. | 2021 | Link |
IEEE Trans. Inf. Forensics Secur.
Expand IEEE Trans. Inf. Forensics Secur.
2026
| Title | Venue | Year | Link |
|---|---|---|---|
| Practical Framework for Privacy-Preserving and Byzantine-Robust Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2026 | Link |
| chamaeleon: Backdoor Attacks Against Vertical Federated Learning for Tabular Data. | IEEE Trans. Inf. Forensics Secur. | 2026 | Link |
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| A Federated Learning-Based Lightweight Network With Zero Trust for UAV Authentication. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| A Practical Federated Learning Framework With Truthful Incentive in UAV-Assisted Crowdsensing. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Analyze and Improve Differentially Private Federated Learning: A Model Robustness Perspective. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Backdoor Attack on Encryption-Protected Vertical Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| BlockFUL: Enabling Unlearning in Blockchained Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Breaking the Illusion: A Critical Study of Backdoor Defense in Federated Learning With Non-IID Data. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| CELEST: Federated Learning for Globally Coordinated Threat Detection. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Can We Trust the Similarity Measurement in Federated Learning? | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| CapsuleBD: A Backdoor Attack Method Against Federated Learning Under Heterogeneous Models. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Certifying the Right to Be Forgotten: Primal-Dual Optimization for Sample and Label Unlearning in Vertical Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Comments on "VCD-FL: Verifiable, Collusion-Resistant, and Dynamic Federated Learning". | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| DamPa: Dynamic Adaptive Model Poisoning Attack in Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Decaf: Data Distribution Decompose Attack Against Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Defense Against Poisoning Attacks on Federated Learning With Neighborhood Coulomb Force. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Differential Privacy for Multi-Modal Federated Learning With Modality Selection. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Differentially Private Vertical Federated Learning With Adaptive Constraints and Dynamic Noise. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Dual Dependency Disentangling for Defending Model Inversion Attacks in Split Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| EARVP: Efficient Aggregation for Federated Learning With Robustness, Verifiability, and Privacy. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Efficient and Secure Multi-Qubit Broadcast-Based Quantum Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Enforcing Differential Privacy in Federated Learning via Long-Term Contribution Incentives. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Enhanced Model Poisoning Attack and Multi-Strategy Defense in Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Enhancing Federated Learning Robustness Using Locally Benignity-Assessable Bayesian Dropout. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Enhancing Federated Learning With Differentially Private Continuous Data Release via k-Ary Trees. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Evaluating Security and Robustness for Split Federated Learning Against Poisoning Attacks. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Extracting Private Training Data in Federated Learning From Clients. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| FLGuardian: Defending Against Model Poisoning Attacks via Fine-Grained Detection in Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Fairness-Aware Client Selection and Payment Determination for Differentially Private Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| FeCoGraph: Label-Aware Federated Graph Contrastive Learning for Few-Shot Network Intrusion Detection. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Fed-UGI: Federated Undersampling Learning Framework With Gini Impurity for Imbalanced Network Intrusion Detection. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| FedAMM: Federated Learning Against Majority Malicious Clients Using Robust Aggregation. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| FedEditor: Efficient and Effective Federated Unlearning in Cooperative Intelligent Transportation Systems. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| FedG3FA: Three-Stage GAN-Aided Target Feature Alignment for Secure Data Sharing in Federated Learning System. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| FedGT: Identification of Malicious Clients in Federated Learning With Secure Aggregation. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| FedGhost: Data-Free Model Poisoning Enhancement in Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| FedIn-NID: A Federated Learning Framework for Network Intrusion Detection in Large-Scale Heterogeneous Industrial IoT. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| FedLG: Lightweight Generic Certificateless Authentication for Trustworthy Federated Learning in VANETs. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| FedPN: Lightweight Privacy-Preserving Federated Learning With Hardness of Learning Periodic Neurons. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| FedRDA: Hierarchical Noise Detection for Federated Finger Vein Recognition. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| FedWiper: Federated Unlearning via Universal Adapter. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Federated Client-Tailored Adapter for Medical Image Segmentation. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Federated Learning Minimal Model Replacement Attack Using Optimal Transport: An Attacker Perspective. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Federated One-Shot Learning With Data Privacy and Objective-Hiding. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| FinBack: Infiltrating Backdoors into Gradient Compressors on Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Free Privacy Protection for Wireless Federated Learning: Enjoy It or Suffer From It? | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Global or Local Adaptation? Client-Sampled Federated Meta-Learning for Personalized IoT Intrusion Detection. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Kindle Federated Generalization With Domain Specialized and Invariant Knowledge. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| LPP-FL: A Lightweight Privacy-Preserving Federated Learning Against Byzantine Attacks on Non-IID Data. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| LapGLP: Approximating Infinite-Layer Graph Convolutions With Laplacian for Federated Recommendation. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Lightweight and Dynamic Privacy-Preserving Federated Learning via Functional Encryption. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Local Differential Privacy Is Not Enough: A Sample Reconstruction Attack Against Federated Learning With Local Differential Privacy. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Low Complexity Byzantine-Resilient Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| MUFTI: Multi-Domain Distillation-Based Heterogeneous Federated Continuous Learning. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Maximizing Uncertainty for Federated Learning via Bayesian Optimization-Based Model Poisoning. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| MoCC-BD-FID: Multi-Objective Clustering Combination-Based Backdoor Defense for Federated Intrusion Detection of Industrial Control Systems. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Optimal Client Selection of Federated Learning Based on Compressed Sensing. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Over-the-Air Federated Learning With Joint Privacy-Accuracy Optimization. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| PDSA-FL: A Poisoning-Defense Secure Aggregation in Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| PFL-ALP: Personalized Federated Learning Against Backdoor Attacks via Attention-Based Local Purification. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| PIECE: Incentivizing Personalized Privacy-Preserving for Multi-Version Model Marketplace in Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Partner in Crime: Boosting Targeted Poisoning Attacks Against Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| PoisonPatch: Natural Adversarial Patches via Diffusion Models and Federated Learning Poisoning. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Poisoning Attacks to Knowledge Distillation-Based Federated Learning Under Robust Aggregation Rules. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| PraVFed: Practical Heterogeneous Vertical Federated Learning via Representation Learning. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| PriRoAgg: Achieving Robust Model Aggregation With Minimum Privacy Leakage for Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Principal Angle-Based Clustered Federated Learning With Local Differential Privacy for Heterogeneous Data. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Privacy for Free: Spy Attack in Vertical Federated Learning by Both Active and Passive Parties. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Privacy-Preserving Coded Schemes for Multi-Server Federated Learning With Straggling Links. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Privacy-Preserving Federated Unlearning With Certified Client Removal. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Privacy-Preserving Vertical Federated Learning With Tensor Decomposition for Data Missing Features. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Private Sample Alignment for Vertical Federated Learning: An Efficient and Reliable Realization. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| ProVFL: Property Inference Attacks Against Vertical Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Protecting Your Attention During Distributed Graph Learning: Efficient Privacy-Preserving Federated Graph Attention Network. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Provable Privacy Advantages of Decentralized Federated Learning via Distributed Optimization. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| R-SFLLM: Jamming Resilient Framework for Split Federated Learning With Large Language Models. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| RDCBA-FEL: Robust Defense Against Colluded Backdoor Attacks in Federated Edge Learning. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| ROBY: A Byzantine-Robust and Privacy-Preserving Serverless Federated Learning Framework. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| RaSA: Robust and Adaptive Secure Aggregation for Edge-Assisted Hierarchical Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Reinforcement Learning-Based Personalized Differentially Private Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Resisting Poisoning Attacks in Federated Learning via Dual-Domain Distance and Trust Assessment. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Robust Adversarial Defenses in Federated Learning: Exploring the Impact of Data Heterogeneity. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Robust Federated Learning Client Selection With Combinatorial Class Representations and Data Augmentation. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| SGBoost+: Efficient and Privacy-Preserving Vertical Boosting Trees for Federated Outsourced Training and Inference. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| SLAPP: Poisoning Prevention in Federated Learning and Differential Privacy via Stateful Proofs of Execution. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Scope: On Detecting Constrained Backdoor Attacks in Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Secure Embedding Aggregation for Cross-Silo Federated Representation Learning. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Secure and Lightweight Feature Selection for Horizontal Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Securing Federated Learning Against Extreme Model Poisoning Attacks via Multidimensional Time Series Anomaly Detection on Local Updates. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Silent Penetrator: Breaching Cross-Domain Federated Fine-Tuning via Feature Shift-Induced Backdoor. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Solving Data Contamination in DDoS Detection: A Method Based on Hierarchical Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Toward Efficient and Certified Recovery From Poisoning Attacks in Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Toward Secure Weighted Aggregation for Privacy-Preserving Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Trustworthy and Fair Federated Learning via Reputation-Based Consensus and Adaptive Incentives. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| UDFed: A Universal Defense Scheme for Various Poisoning Attacks on Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| VFLMonitor: Defending One-Party Hijacking Attacks in Vertical Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Vulnerabilities in SVHFL: Toward Secure and Verifiable Hybrid Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
| Vulnerabilities of NSPFL: Privacy-Preserving Federated Learning With Data Integrity Auditing. | IEEE Trans. Inf. Forensics Secur. | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| A Flexible and Scalable Malicious Secure Aggregation Protocol for Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| A Multi-Modal Vertical Federated Learning Framework Based on Homomorphic Encryption. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| A Robust Privacy-Preserving Federated Learning Model Against Model Poisoning Attacks. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| ASIA: A Federated Boosting Tree Model Against Sequence Inference Attacks in Financial Networks. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| AgrAmplifier: Defending Federated Learning Against Poisoning Attacks Through Local Update Amplification. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| An Efficient and Dynamic Privacy-Preserving Federated Learning System for Edge Computing. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| Backdoor Attack Against Split Neural Network-Based Vertical Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| Boosting Accuracy of Differentially Private Continuous Data Release for Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| Byzantines Can Also Learn From History: Fall of Centered Clipping in Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| CSRA: Robust Incentive Mechanism Design for Differentially Private Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| CareFL: Contribution Guided Byzantine-Robust Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| DP-Norm: Differential Privacy Primal-Dual Algorithm for Decentralized Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| Data-Agnostic Model Poisoning Against Federated Learning: A Graph Autoencoder Approach. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| Defending Against Membership Inference Attack for Counterfactual Federated Recommendation With Differentially Private Representation Learning. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| Depriving the Survival Space of Adversaries Against Poisoned Gradients in Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| Differentially Private Federated Learning With an Adaptive Noise Mechanism. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| Efficiently Achieving Privacy Preservation and Poisoning Attack Resistance in Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| Eyes on Federated Recommendation: Targeted Poisoning With Competition and Its Mitigation. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| FDFL: Fair and Discrepancy-Aware Incentive Mechanism for Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| FLPurifier: Backdoor Defense in Federated Learning via Decoupled Contrastive Training. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| FLTracer: Accurate Poisoning Attack Provenance in Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| FedComm: A Privacy-Enhanced and Efficient Authentication Protocol for Federated Learning in Vehicular Ad-Hoc Networks. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| FedPTA: Prior-Based Tensor Approximation for Detecting Malicious Clients in Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| Federated Learning With Long-Tailed Data via Representation Unification and Classifier Rectification. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| Federated Radio Frequency Fingerprint Identification Powered by Unsupervised Contrastive Learning. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| Federated Supervised Principal Component Analysis. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| HashVFL: Defending Against Data Reconstruction Attacks in Vertical Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| LDS-FL: Loss Differential Strategy Based Federated Learning for Privacy Preserving. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| Lightweight Privacy-Preserving Cross-Cluster Federated Learning With Heterogeneous Data. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| MI-VFDNN: An Efficient Vertical Federated Deep Neural Network With Multi-Layer Interaction. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| MODEL: A Model Poisoning Defense Framework for Federated Learning via Truth Discovery. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| NSPFL: A Novel Secure and Privacy-Preserving Federated Learning With Data Integrity Auditing. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| On the Security of "LSFL: A Lightweight and Secure Federated Learning Scheme for Edge Computing". | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| On the Security of Privacy-Enhanced Authentication Protocol for Federated Learning in VANETs. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| OpenVFL: A Vertical Federated Learning Framework With Stronger Privacy-Preserving. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| Privacy Preserving Palmprint Recognition via Federated Metric Learning. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| Privacy-Enhancing and Robust Backdoor Defense for Federated Learning on Heterogeneous Data. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| Privacy-Preserving Asynchronous Federated Learning Under Non-IID Settings. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| Privacy-Preserving Federated Learning With Improved Personalization and Poison Rectification of Client Models. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| RFed: Robustness-Enhanced Privacy-Preserving Federated Learning Against Poisoning Attack. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| RVE-PFL: Robust Variational Encoder-Based Personalized Federated Learning Against Model Inversion Attacks. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| Robust and Secure Federated Learning Against Hybrid Attacks: A Generic Architecture. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| RoseAgg: Robust Defense Against Targeted Collusion Attacks in Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| SPFL: A Self-Purified Federated Learning Method Against Poisoning Attacks. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| Secure Model Aggregation Against Poisoning Attacks for Cross-Silo Federated Learning With Robustness and Fairness. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| Secure and Efficient Federated Learning With Provable Performance Guarantees via Stochastic Quantization. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| Secure and Efficient Federated Learning via Novel Authenticable Multi-Party Computation and Compressed Sensing. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| Split Aggregation: Lightweight Privacy-Preserving Federated Learning Resistant to Byzantine Attacks. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| Toward Secure and Verifiable Hybrid Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| Voltran: Unlocking Trust and Confidentiality in Decentralized Federated Learning Aggregation. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
| Vulnerabilities of Data Protection in Vertical Federated Learning Training and Countermeasures. | IEEE Trans. Inf. Forensics Secur. | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| APFed: Anti-Poisoning Attacks in Privacy-Preserving Heterogeneous Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2023 | Link |
| Amplitude-Varying Perturbation for Balancing Privacy and Utility in Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2023 | Link |
| An Efficient Privacy-Enhancing Cross-Silo Federated Learning and Applications for False Data Injection Attack Detection in Smart Grids. | IEEE Trans. Inf. Forensics Secur. | 2023 | Link |
| Comments on "Privacy-Enhanced Federated Learning Against Poisoning Adversaries". | IEEE Trans. Inf. Forensics Secur. | 2023 | Link |
| Comprehensive Android Malware Detection Based on Federated Learning Architecture. | IEEE Trans. Inf. Forensics Secur. | 2023 | Link |
| CrowdFA: A Privacy-Preserving Mobile Crowdsensing Paradigm via Federated Analytics. | IEEE Trans. Inf. Forensics Secur. | 2023 | Link |
| Data Quality Detection Mechanism Against Label Flipping Attacks in Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2023 | Link |
| EEFED: Personalized Federated Learning of Execution&Evaluation Dual Network for CPS Intrusion Detection. | IEEE Trans. Inf. Forensics Secur. | 2023 | Link |
| EGIA: An External Gradient Inversion Attack in Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2023 | Link |
| Efficient Verifiable Protocol for Privacy-Preserving Aggregation in Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2023 | Link |
| FedDef: Defense Against Gradient Leakage in Federated Learning-Based Network Intrusion Detection Systems. | IEEE Trans. Inf. Forensics Secur. | 2023 | Link |
| FedDual: Pair-Wise Gossip Helps Federated Learning in Large Decentralized Networks. | IEEE Trans. Inf. Forensics Secur. | 2023 | Link |
| FedForgery: Generalized Face Forgery Detection With Residual Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2023 | Link |
| FedRecovery: Differentially Private Machine Unlearning for Federated Learning Frameworks. | IEEE Trans. Inf. Forensics Secur. | 2023 | Link |
| Federated Graph Neural Network for Fast Anomaly Detection in Controller Area Networks. | IEEE Trans. Inf. Forensics Secur. | 2023 | Link |
| LSFL: A Lightweight and Secure Federated Learning Scheme for Edge Computing. | IEEE Trans. Inf. Forensics Secur. | 2023 | Link |
| Long-Term Privacy-Preserving Aggregation With User-Dynamics for Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2023 | Link |
| Multi-Domain Virtual Network Embedding Algorithm Based on Horizontal Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2023 | Link |
| Personalized Federated Learning With Differential Privacy and Convergence Guarantee. | IEEE Trans. Inf. Forensics Secur. | 2023 | Link |
| Privacy of Federated QR Decomposition Using Additive Secure Multiparty Computation. | IEEE Trans. Inf. Forensics Secur. | 2023 | Link |
| Privacy-Encoded Federated Learning Against Gradient-Based Data Reconstruction Attacks. | IEEE Trans. Inf. Forensics Secur. | 2023 | Link |
| Privacy-Preserving Federated Learning With Malicious Clients and Honest-but-Curious Servers. | IEEE Trans. Inf. Forensics Secur. | 2023 | Link |
| Privacy-Preserving Federated Learning via Functional Encryption, Revisited. | IEEE Trans. Inf. Forensics Secur. | 2023 | Link |
| Privacy-Preserving and Verifiable Federated Learning Framework for Edge Computing. | IEEE Trans. Inf. Forensics Secur. | 2023 | Link |
| PrivacyEAFL: Privacy-Enhanced Aggregation for Federated Learning in Mobile Crowdsensing. | IEEE Trans. Inf. Forensics Secur. | 2023 | Link |
| SAFELearning: Secure Aggregation in Federated Learning With Backdoor Detectability. | IEEE Trans. Inf. Forensics Secur. | 2023 | Link |
| SGBoost: An Efficient and Privacy-Preserving Vertical Federated Tree Boosting Framework. | IEEE Trans. Inf. Forensics Secur. | 2023 | Link |
| Secure Model-Contrastive Federated Learning With Improved Compressive Sensing. | IEEE Trans. Inf. Forensics Secur. | 2023 | Link |
| TEAR: Exploring Temporal Evolution of Adversarial Robustness for Membership Inference Attacks Against Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2023 | Link |
| Using Highly Compressed Gradients in Federated Learning for Data Reconstruction Attacks. | IEEE Trans. Inf. Forensics Secur. | 2023 | Link |
| VCD-FL: Verifiable, Collusion-Resistant, and Dynamic Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| Comment on "Federated Learning With Differential Privacy: Algorithms and Performance Analysis". | IEEE Trans. Inf. Forensics Secur. | 2022 | Link |
| FLCert: Provably Secure Federated Learning Against Poisoning Attacks. | IEEE Trans. Inf. Forensics Secur. | 2022 | Link |
| LaF: Lattice-Based and Communication-Efficient Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2022 | Link |
| PFLF: Privacy-Preserving Federated Learning Framework for Edge Computing. | IEEE Trans. Inf. Forensics Secur. | 2022 | Link |
| PVD-FL: A Privacy-Preserving and Verifiable Decentralized Federated Learning Framework. | IEEE Trans. Inf. Forensics Secur. | 2022 | Link |
| Privacy-Preserving Byzantine-Robust Federated Learning via Blockchain Systems. | IEEE Trans. Inf. Forensics Secur. | 2022 | Link |
| ShieldFL: Mitigating Model Poisoning Attacks in Privacy-Preserving Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| Privacy-Enhanced Federated Learning Against Poisoning Adversaries. | IEEE Trans. Inf. Forensics Secur. | 2021 | Link |
| VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2021 | Link |
2020
| Title | Venue | Year | Link |
|---|---|---|---|
| Federated Learning With Differential Privacy: Algorithms and Performance Analysis. | IEEE Trans. Inf. Forensics Secur. | 2020 | Link |
| VerifyNet: Secure and Verifiable Federated Learning. | IEEE Trans. Inf. Forensics Secur. | 2020 | Link |
ACM Trans. Priv. Secur.
Expand ACM Trans. Priv. Secur.
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| A Secret Sharing-Inspired Robust Distributed Backdoor Attack to Federated Learning. | ACM Trans. Priv. Secur. | 2025 | Link |
| Backdoor Attacks in Peer-to-Peer Federated Learning. | ACM Trans. Priv. Secur. | 2025 | Link |
| DP-Poison: Poisoning Federated Learning under the Cover of Differential Privacy. | ACM Trans. Priv. Secur. | 2025 | Link |
| GradCAM-AE: A New Shield Defense against Poisoning Attacks on Federated Learning. | ACM Trans. Priv. Secur. | 2025 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| Privacy-preserving Decentralized Federated Learning over Time-varying Communication Graph. | ACM Trans. Priv. Secur. | 2023 | Link |
ACM Trans. Intell. Syst. Technol.
Expand ACM Trans. Intell. Syst. Technol.
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| A Federated Graph Neural Network with Differential Privacy for Cross-domain Recommender Systems. | ACM Trans. Intell. Syst. Technol. | 2025 | Link |
| A Federated Social Recommendation Approach with Enhanced Hypergraph Neural Network. | ACM Trans. Intell. Syst. Technol. | 2025 | Link |
| Cross-User Federated Recommendation Unlearning. | ACM Trans. Intell. Syst. Technol. | 2025 | Link |
| DeepSneak: User GPS Trajectory Reconstruction from Federated Route Recommendation Models. | ACM Trans. Intell. Syst. Technol. | 2025 | Link |
| Grounding Foundation Models through Federated Transfer Learning: A General Framework. | ACM Trans. Intell. Syst. Technol. | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| A Game-theoretic Framework for Privacy-preserving Federated Learning. | ACM Trans. Intell. Syst. Technol. | 2024 | Link |
| A Meta-Learning Framework for Tuning Parameters of Protection Mechanisms in Trustworthy Federated Learning. | ACM Trans. Intell. Syst. Technol. | 2024 | Link |
| A Survey of Trustworthy Federated Learning: Issues, Solutions, and Challenges. | ACM Trans. Intell. Syst. Technol. | 2024 | Link |
| DESIGN: Online Device Selection and Edge Association for Federated Synergy Learning-enabled AIoT. | ACM Trans. Intell. Syst. Technol. | 2024 | Link |
| Decentralized Federated Recommendation with Privacy-aware Structured Client-level Graph. | ACM Trans. Intell. Syst. Technol. | 2024 | Link |
| Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data. | ACM Trans. Intell. Syst. Technol. | 2024 | Link |
| Ensuring Fairness and Gradient Privacy in Personalized Heterogeneous Federated Learning. | ACM Trans. Intell. Syst. Technol. | 2024 | Link |
| Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation. | ACM Trans. Intell. Syst. Technol. | 2024 | Link |
| FedCMD: A Federated Cross-modal Knowledge Distillation for Drivers' Emotion Recognition. | ACM Trans. Intell. Syst. Technol. | 2024 | Link |
| Federated Learning Survey: A Multi-Level Taxonomy of Aggregation Techniques, Experimental Insights, and Future Frontiers. | ACM Trans. Intell. Syst. Technol. | 2024 | Link |
| Federated Momentum Contrastive Clustering. | ACM Trans. Intell. Syst. Technol. | 2024 | Link |
| Labeling Chaos to Learning Harmony: Federated Learning with Noisy Labels. | ACM Trans. Intell. Syst. Technol. | 2024 | Link |
| Optimizing Privacy, Utility, and Efficiency in a Constrained Multi-Objective Federated Learning Framework. | ACM Trans. Intell. Syst. Technol. | 2024 | Link |
| PerFedRec++: Enhancing Personalized Federated Recommendation with Self-Supervised Pre-Training. | ACM Trans. Intell. Syst. Technol. | 2024 | Link |
| Responsible Recommendation Services with Blockchain Empowered Asynchronous Federated Learning. | ACM Trans. Intell. Syst. Technol. | 2024 | Link |
| Watermarking in Secure Federated Learning: A Verification Framework Based on Client-Side Backdooring. | ACM Trans. Intell. Syst. Technol. | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| Configure Your Federation: Hierarchical Attention-enhanced Meta-Learning Network for Personalized Federated Learning. | ACM Trans. Intell. Syst. Technol. | 2023 | Link |
| Federated Clique Percolation for Privacy-preserving Overlapping Community Detection. | ACM Trans. Intell. Syst. Technol. | 2023 | Link |
| No Free Lunch Theorem for Security and Utility in Federated Learning. | ACM Trans. Intell. Syst. Technol. | 2023 | Link |
| Noise-aware Local Model Training Mechanism for Federated Learning. | ACM Trans. Intell. Syst. Technol. | 2023 | Link |
| Trading Off Privacy, Utility, and Efficiency in Federated Learning. | ACM Trans. Intell. Syst. Technol. | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| AggEnhance: Aggregation Enhancement by Class Interior Points in Federated Learning with Non-IID Data. | ACM Trans. Intell. Syst. Technol. | 2022 | Link |
| An Efficient Learning Framework for Federated XGBoost Using Secret Sharing and Distributed Optimization. | ACM Trans. Intell. Syst. Technol. | 2022 | Link |
| Auto-weighted Robust Federated Learning with Corrupted Data Sources. | ACM Trans. Intell. Syst. Technol. | 2022 | Link |
| Budget Distributed Support Vector Machine for Non-ID Federated Learning Scenarios. | ACM Trans. Intell. Syst. Technol. | 2022 | Link |
| CLC: A Consensus-based Label Correction Approach in Federated Learning. | ACM Trans. Intell. Syst. Technol. | 2022 | Link |
| Communication-Efficient Federated Learning with Adaptive Quantization. | ACM Trans. Intell. Syst. Technol. | 2022 | Link |
| Cross-Silo Federated Learning for Multi-Tier Networks with Vertical and Horizontal Data Partitioning. | ACM Trans. Intell. Syst. Technol. | 2022 | Link |
| Defending against Poisoning Backdoor Attacks on Federated Meta-learning. | ACM Trans. Intell. Syst. Technol. | 2022 | Link |
| Dynamic-Aware Federated Learning for Face Forgery Video Detection. | ACM Trans. Intell. Syst. Technol. | 2022 | Link |
| Efficient Federated Matrix Factorization Against Inference Attacks. | ACM Trans. Intell. Syst. Technol. | 2022 | Link |
| FLEE: A Hierarchical Federated Learning Framework for Distributed Deep Neural Network over Cloud, Edge, and End Device. | ACM Trans. Intell. Syst. Technol. | 2022 | Link |
| FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction. | ACM Trans. Intell. Syst. Technol. | 2022 | Link |
| FedBERT: When Federated Learning Meets Pre-training. | ACM Trans. Intell. Syst. Technol. | 2022 | Link |
| FedCTR: Federated Native Ad CTR Prediction with Cross-platform User Behavior Data. | ACM Trans. Intell. Syst. Technol. | 2022 | Link |
| FedCVT: Semi-supervised Vertical Federated Learning with Cross-view Training. | ACM Trans. Intell. Syst. Technol. | 2022 | Link |
| Federated Dynamic Graph Neural Networks with Secure Aggregation for Video-based Distributed Surveillance. | ACM Trans. Intell. Syst. Technol. | 2022 | Link |
| Federated Learning for Electronic Health Records. | ACM Trans. Intell. Syst. Technol. | 2022 | Link |
| Federated Learning for Healthcare: Systematic Review and Architecture Proposal. | ACM Trans. Intell. Syst. Technol. | 2022 | Link |
| Federated Learning for Personalized Humor Recognition. | ACM Trans. Intell. Syst. Technol. | 2022 | Link |
| Federated Multi-task Graph Learning. | ACM Trans. Intell. Syst. Technol. | 2022 | Link |
| Federated Multi-view Learning for Private Medical Data Integration and Analysis. | ACM Trans. Intell. Syst. Technol. | 2022 | Link |
| Federated Social Recommendation with Graph Neural Network. | ACM Trans. Intell. Syst. Technol. | 2022 | Link |
| GRNN: Generative Regression Neural Network - A Data Leakage Attack for Federated Learning. | ACM Trans. Intell. Syst. Technol. | 2022 | Link |
| GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning. | ACM Trans. Intell. Syst. Technol. | 2022 | Link |
| Improving Availability of Vertical Federated Learning: Relaxing Inference on Non-overlapping Data. | ACM Trans. Intell. Syst. Technol. | 2022 | Link |
| Intrinsic Performance Influence-based Participant Contribution Estimation for Horizontal Federated Learning. | ACM Trans. Intell. Syst. Technol. | 2022 | Link |
| Introduction to the Special Issue on the Federated Learning: Algorithms, Systems, and Applications: Part 1. | ACM Trans. Intell. Syst. Technol. | 2022 | Link |
| PSDF: Privacy-aware IoV Service Deployment with Federated Learning in Cloud-Edge Computing. | ACM Trans. Intell. Syst. Technol. | 2022 | Link |
| Preface to Federated Learning: Algorithms, Systems, and Applications: Part 2. | ACM Trans. Intell. Syst. Technol. | 2022 | Link |
| Semi-Synchronous Federated Learning for Energy-Efficient Training and Accelerated Convergence in Cross-Silo Settings. | ACM Trans. Intell. Syst. Technol. | 2022 | Link |
| SignDS-FL: Local Differentially Private Federated Learning with Sign-based Dimension Selection. | ACM Trans. Intell. Syst. Technol. | 2022 | Link |
| The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems. | ACM Trans. Intell. Syst. Technol. | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| A GDPR-compliant Ecosystem for Speech Recognition with Transfer, Federated, and Evolutionary Learning. | ACM Trans. Intell. Syst. Technol. | 2021 | Link |
| Industrial Federated Topic Modeling. | ACM Trans. Intell. Syst. Technol. | 2021 | Link |
| StarFL: Hybrid Federated Learning Architecture for Smart Urban Computing. | ACM Trans. Intell. Syst. Technol. | 2021 | Link |
2019
| Title | Venue | Year | Link |
|---|---|---|---|
| Federated Machine Learning: Concept and Applications. | ACM Trans. Intell. Syst. Technol. | 2019 | Link |
IEEE J. Biomed. Health Informatics
Expand IEEE J. Biomed. Health Informatics
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| A Novel Experience-Driven and Federated Intelligent Threat-Defense Framework in IoMT. | IEEE J. Biomed. Health Informatics | 2025 | Link |
| Advancing Medical Innovation Through Blockchain-Secured Federated Learning for Smart Health. | IEEE J. Biomed. Health Informatics | 2025 | Link |
| Bilateral Proxy Federated Domain Generalization for Privacy-Preserving Medical Image Diagnosis. | IEEE J. Biomed. Health Informatics | 2025 | Link |
| FCNCP: A Coupled Nonnegative CANDECOMP/PARAFAC Decomposition Based on Federated Learning. | IEEE J. Biomed. Health Informatics | 2025 | Link |
| FedComDist: Towards Effective Personalized Federated Learning for Patient Outcome Prediction Using Multi-Center Electronic Medical Records. | IEEE J. Biomed. Health Informatics | 2025 | Link |
| FedKDC: Consensus-Driven Knowledge Distillation for Personalized Federated Learning in EEG-Based Emotion Recognition. | IEEE J. Biomed. Health Informatics | 2025 | Link |
| Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI Reconstruction. | IEEE J. Biomed. Health Informatics | 2025 | Link |
| Federated Pseudo-Labeling: A Data-Centric, Privacy-Preserving Framework for Medical Image Segmentation. | IEEE J. Biomed. Health Informatics | 2025 | Link |
| Progressive Distillation With Optimal Transport for Federated Incomplete Multi-Modal Learning of Brain Tumor Segmentation. | IEEE J. Biomed. Health Informatics | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| A Comprehensive Privacy-Preserving Federated Learning Scheme With Secure Authentication and Aggregation for Internet of Medical Things. | IEEE J. Biomed. Health Informatics | 2024 | Link |
| A Scalable Federated Learning Approach for Collaborative Smart Healthcare Systems With Intermittent Clients Using Medical Imaging. | IEEE J. Biomed. Health Informatics | 2024 | Link |
| A Two-Stage Differential Privacy Scheme for Federated Learning Based on Edge Intelligence. | IEEE J. Biomed. Health Informatics | 2024 | Link |
| Channel Adaptive and Sparsity Personalized Federated Learning for Privacy Protection in Smart Healthcare Systems. | IEEE J. Biomed. Health Informatics | 2024 | Link |
| Cross-Modal Vertical Federated Learning for MRI Reconstruction. | IEEE J. Biomed. Health Informatics | 2024 | Link |
| Dense Contrastive-Based Federated Learning for Dense Prediction Tasks on Medical Images. | IEEE J. Biomed. Health Informatics | 2024 | Link |
| Explainable Federated Medical Image Analysis Through Causal Learning and Blockchain. | IEEE J. Biomed. Health Informatics | 2024 | Link |
| Fed-MStacking: Heterogeneous Federated Learning With Stacking Misaligned Labels for Abnormal Heart Sound Detection. | IEEE J. Biomed. Health Informatics | 2024 | Link |
| FedIOD: Federated Multi-Organ Segmentation From Partial Labels by Exploring Inter-Organ Dependency. | IEEE J. Biomed. Health Informatics | 2024 | Link |
| Federated Fusion of Magnified Histopathological Images for Breast Tumor Classification in the Internet of Medical Things. | IEEE J. Biomed. Health Informatics | 2024 | Link |
| Federated Learning Approach for Secured Medical Recommendation in Internet of Medical Things Using Homomorphic Encryption. | IEEE J. Biomed. Health Informatics | 2024 | Link |
| Federated Learning With Deep Neural Networks: A Privacy-Preserving Approach to Enhanced ECG Classification. | IEEE J. Biomed. Health Informatics | 2024 | Link |
| Precision and Robust Models on Healthcare Institution Federated Learning for Predicting HCC on Portal Venous CT Images. | IEEE J. Biomed. Health Informatics | 2024 | Link |
| Privacy-Preserving Federated Learning With Domain Adaptation for Multi-Disease Ocular Disease Recognition. | IEEE J. Biomed. Health Informatics | 2024 | Link |
| Scoring Aided Federated Learning on Long-Tailed Data for Wireless IoMT Based Healthcare System. | IEEE J. Biomed. Health Informatics | 2024 | Link |
| Specificity-Aware Federated Learning With Dynamic Feature Fusion Network for Imbalanced Medical Image Classification. | IEEE J. Biomed. Health Informatics | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| A Scalable and Transferable Federated Learning System for Classifying Healthcare Sensor Data. | IEEE J. Biomed. Health Informatics | 2023 | Link |
| A Simple Federated Learning-Based Scheme for Security Enhancement Over Internet of Medical Things. | IEEE J. Biomed. Health Informatics | 2023 | Link |
| Anti-Jamming Strategy for Federated Learning in Internet of Medical Things: A Game Approach. | IEEE J. Biomed. Health Informatics | 2023 | Link |
| Application of Robust Zero-Watermarking Scheme Based on Federated Learning for Securing the Healthcare Data. | IEEE J. Biomed. Health Informatics | 2023 | Link |
| Dew-Cloud-Based Hierarchical Federated Learning for Intrusion Detection in IoMT. | IEEE J. Biomed. Health Informatics | 2023 | Link |
| Dynamic Corrected Split Federated Learning With Homomorphic Encryption for U-Shaped Medical Image Networks. | IEEE J. Biomed. Health Informatics | 2023 | Link |
| E2EGI: End-to-End Gradient Inversion in Federated Learning. | IEEE J. Biomed. Health Informatics | 2023 | Link |
| Federated Learning for IoMT Applications: A Standardization and Benchmarking Framework of Intrusion Detection Systems. | IEEE J. Biomed. Health Informatics | 2023 | Link |
| Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey. | IEEE J. Biomed. Health Informatics | 2023 | Link |
| Federated Learning for Privacy Preservation of Healthcare Data From Smartphone-Based Side-Channel Attacks. | IEEE J. Biomed. Health Informatics | 2023 | Link |
| Federated Learning-Based Secure Electronic Health Record Sharing Scheme in Medical Informatics. | IEEE J. Biomed. Health Informatics | 2023 | Link |
| Federated Machine Learning for Detection of Skin Diseases and Enhancement of Internet of Medical Things (IoMT) Security. | IEEE J. Biomed. Health Informatics | 2023 | Link |
| Federated Semi-Supervised Learning for Medical Image Segmentation via Pseudo-Label Denoising. | IEEE J. Biomed. Health Informatics | 2023 | Link |
| Federated-Learning Based Privacy Preservation and Fraud-Enabled Blockchain IoMT System for Healthcare. | IEEE J. Biomed. Health Informatics | 2023 | Link |
| Guest Editorial Federated Learning for Privacy Preservation of Healthcare Data in Internet of Medical Things and Patient Monitoring. | IEEE J. Biomed. Health Informatics | 2023 | Link |
| Handling Privacy-Sensitive Medical Data With Federated Learning: Challenges and Future Directions. | IEEE J. Biomed. Health Informatics | 2023 | Link |
| Hyper-Graph Attention Based Federated Learning Methods for Use in Mental Health Detection. | IEEE J. Biomed. Health Informatics | 2023 | Link |
| IoMT: A COVID-19 Healthcare System Driven by Federated Learning and Blockchain. | IEEE J. Biomed. Health Informatics | 2023 | Link |
| Low-Latency Federated Learning via Dynamic Model Partitioning for Healthcare IoT. | IEEE J. Biomed. Health Informatics | 2023 | Link |
| Metadata and Image Features Co-Aware Personalized Federated Learning for Smart Healthcare. | IEEE J. Biomed. Health Informatics | 2023 | Link |
| On the Physical Layer Security of Federated Learning Based IoMT Networks. | IEEE J. Biomed. Health Informatics | 2023 | Link |
| Privacy Enhancing and Scalable Federated Learning to Accelerate AI Implementation in Cross-Silo and IoMT Environments. | IEEE J. Biomed. Health Informatics | 2023 | Link |
| Privacy-Preserving Federated Learning for Internet of Medical Things Under Edge Computing. | IEEE J. Biomed. Health Informatics | 2023 | Link |
| ProtoHAR: Prototype Guided Personalized Federated Learning for Human Activity Recognition. | IEEE J. Biomed. Health Informatics | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| Customized Federated Learning for Multi-Source Decentralized Medical Image Classification. | IEEE J. Biomed. Health Informatics | 2022 | Link |
| Dynamic Neural Graphs Based Federated Reptile for Semi-Supervised Multi-Tasking in Healthcare Applications. | IEEE J. Biomed. Health Informatics | 2022 | Link |
| Edge Intelligence: Federated Learning-Based Privacy Protection Framework for Smart Healthcare Systems. | IEEE J. Biomed. Health Informatics | 2022 | Link |
| Personalized Real-Time Federated Learning for Epileptic Seizure Detection. | IEEE J. Biomed. Health Informatics | 2022 | Link |
| SplitAVG: A Heterogeneity-Aware Federated Deep Learning Method for Medical Imaging. | IEEE J. Biomed. Health Informatics | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| A Pseudonymisation Protocol With Implicit and Explicit Consent Routes for Health Records in Federated Ledgers. | IEEE J. Biomed. Health Informatics | 2021 | Link |
| Variation-Aware Federated Learning With Multi-Source Decentralized Medical Image Data. | IEEE J. Biomed. Health Informatics | 2021 | Link |
IEEE Trans. Inf. Technol. Biomed.
Expand IEEE Trans. Inf. Technol. Biomed.
2007
| Title | Venue | Year | Link |
|---|---|---|---|
| Enhancing IHE XDS for Federated Clinical Affinity Domain Support. | IEEE Trans. Inf. Technol. Biomed. | 2007 | Link |
ACM Trans. Knowl. Discov. Data
Expand ACM Trans. Knowl. Discov. Data
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| Convergence-Guaranteed Federated Learning through Gradient Trajectory Smoothing with Triple-Objective Decomposition. | ACM Trans. Knowl. Discov. Data | 2025 | Link |
| Defending Federated Recommender Systems against Untargeted Attacks: A Contribution-Aware Robust Aggregation Scheme. | ACM Trans. Knowl. Discov. Data | 2025 | Link |
| Efficient Federated Learning with Heterogeneous Data and Adaptive Dropout. | ACM Trans. Knowl. Discov. Data | 2025 | Link |
| Exploiting Defenses against GAN-Based Feature Inference Attacks in Federated Learning. | ACM Trans. Knowl. Discov. Data | 2025 | Link |
| FGTL: Federated Graph Transfer Learning for Node Classification. | ACM Trans. Knowl. Discov. Data | 2025 | Link |
| FeadSeq: A Personalized Federated Anomaly Detection Framework for Discrete Event Sequences. | ACM Trans. Knowl. Discov. Data | 2025 | Link |
| Subgraph Federated Learning with Information Bottleneck Constrained Generative Learning. | ACM Trans. Knowl. Discov. Data | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| BapFL: You can Backdoor Personalized Federated Learning. | ACM Trans. Knowl. Discov. Data | 2024 | Link |
| EFMVFL: An Efficient and Flexible Multi-party Vertical Federated Learning without a Third Party. | ACM Trans. Knowl. Discov. Data | 2024 | Link |
| Fair Federated Learning with Multi-Objective Hyperparameter Optimization. | ACM Trans. Knowl. Discov. Data | 2024 | Link |
| FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphs. | ACM Trans. Knowl. Discov. Data | 2024 | Link |
| Personalized Federated Learning with Layer-Wise Feature Transformation via Meta-Learning. | ACM Trans. Knowl. Discov. Data | 2024 | Link |
| Server-Client Collaborative Distillation for Federated Reinforcement Learning. | ACM Trans. Knowl. Discov. Data | 2024 | Link |
| Toward Few-Label Vertical Federated Learning. | ACM Trans. Knowl. Discov. Data | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| LoSAC: An Efficient Local Stochastic Average Control Method for Federated Optimization. | ACM Trans. Knowl. Discov. Data | 2023 | Link |
| Personalized Federated Learning on Non-IID Data via Group-based Meta-learning. | ACM Trans. Knowl. Discov. Data | 2023 | Link |
Int. J. Comput. Vis.
Expand Int. J. Comput. Vis.
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| Relation-Guided Versatile Regularization for Federated Semi-Supervised Learning. | Int. J. Comput. Vis. | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| Physics-Driven Spectrum-Consistent Federated Learning for Palmprint Verification. | Int. J. Comput. Vis. | 2024 | Link |
Comput. Vis. Image Underst.
Expand Comput. Vis. Image Underst.
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| FedVLP: Visual-aware latent prompt generation for Multimodal Federated Learning. | Comput. Vis. Image Underst. | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| Domain generalized federated learning for Person Re-identification. | Comput. Vis. Image Underst. | 2024 | Link |
| FedER: Federated Learning through Experience Replay and privacy-preserving data synthesis. | Comput. Vis. Image Underst. | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| Federated Unsupervised Cluster-Contrastive learning for person Re-identification: A coarse-to-fine approach. | Comput. Vis. Image Underst. | 2023 | Link |
Proc. VLDB Endow.
Expand Proc. VLDB Endow.
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| FedVSE: A Privacy-Preserving and Efficient Vector Search Engine for Federated Databases. | Proc. VLDB Endow. | 2025 | Link |
| Federated Data Shift Distance Estimation. | Proc. VLDB Endow. | 2025 | Link |
| Federated Incomplete Tabular Data Prediction with Missing Complementarity. | Proc. VLDB Endow. | 2025 | Link |
| Federated and Balanced Clustering for High-dimensional Data. | Proc. VLDB Endow. | 2025 | Link |
| GORAM: Graph-oriented ORAM for Efficient Ego-centric Queries on Federated Graphs. | Proc. VLDB Endow. | 2025 | Link |
| OpenFGL: A Comprehensive Benchmark for Federated Graph Learning. | Proc. VLDB Endow. | 2025 | Link |
| PS-MI: Accurate, Efficient, and Private Data Valuation in Vertical Federated Learning. | Proc. VLDB Endow. | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| A Blockchain System for Clustered Federated Learning with Peer-to-Peer Knowledge Transfer. | Proc. VLDB Endow. | 2024 | Link |
| Communication Efficient and Provable Federated Unlearning. | Proc. VLDB Endow. | 2024 | Link |
| Contributions Estimation in Federated Learning: A Comprehensive Experimental Evaluation. | Proc. VLDB Endow. | 2024 | Link |
| FedSM: A Practical Federated Shared Mobility System. | Proc. VLDB Endow. | 2024 | Link |
| FedSQ: A Secure System for Federated Vector Similarity Queries. | Proc. VLDB Endow. | 2024 | Link |
| OFL-W3: A One-shot Federated Learning System on Web 3.0. | Proc. VLDB Endow. | 2024 | Link |
| Performance-Based Pricing of Federated Learning via Auction. | Proc. VLDB Endow. | 2024 | Link |
| Uldp-FL: Federated Learning with Across Silo User-Level Differential Privacy. | Proc. VLDB Endow. | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| Differentially Private Vertical Federated Clustering. | Proc. VLDB Endow. | 2023 | Link |
| FS-Real: A Real-World Cross-Device Federated Learning Platform. | Proc. VLDB Endow. | 2023 | Link |
| Falcon: A Privacy-Preserving and Interpretable Vertical Federated Learning System. | Proc. VLDB Endow. | 2023 | Link |
| FedGTA: Topology-aware Averaging for Federated Graph Learning. | Proc. VLDB Endow. | 2023 | Link |
| Federated Calibration and Evaluation of Binary Classifiers. | Proc. VLDB Endow. | 2023 | Link |
| FederatedScope: A Flexible Federated Learning Platform for Heterogeneity. | Proc. VLDB Endow. | 2023 | Link |
| Olive: Oblivious Federated Learning on Trusted Execution Environment Against the Risk of Sparsification. | Proc. VLDB Endow. | 2023 | Link |
| Secure Shapley Value for Cross-Silo Federated Learning. | Proc. VLDB Endow. | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| FedTSC: A Secure Federated Learning System for Interpretable Time Series Classification. | Proc. VLDB Endow. | 2022 | Link |
| OpBoost: A Vertical Federated Tree Boosting Framework Based on Order-Preserving Desensitization. | Proc. VLDB Endow. | 2022 | Link |
| Skellam Mixture Mechanism: a Novel Approach to Federated Learning with Differential Privacy. | Proc. VLDB Endow. | 2022 | Link |
| Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Update. | Proc. VLDB Endow. | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| Enabling SQL-based Training Data Debugging for Federated Learning. | Proc. VLDB Endow. | 2021 | Link |
| Federated Matrix Factorization with Privacy Guarantee. | Proc. VLDB Endow. | 2021 | Link |
| Projected Federated Averaging with Heterogeneous Differential Privacy. | Proc. VLDB Endow. | 2021 | Link |
| Refiner: A Reliable Incentive-Driven Federated Learning System Powered by Blockchain. | Proc. VLDB Endow. | 2021 | Link |
| Tanium Reveal: A Federated Search Engine for Querying Unstructured File Data on Large Enterprise Networks. | Proc. VLDB Endow. | 2021 | Link |
2020
| Title | Venue | Year | Link |
|---|---|---|---|
| Privacy Preserving Vertical Federated Learning for Tree-based Models. | Proc. VLDB Endow. | 2020 | Link |
2008
| Title | Venue | Year | Link |
|---|---|---|---|
| Scalable multi-query optimization for exploratory queries over federated scientific databases. | Proc. VLDB Endow. | 2008 | Link |
IEEE Trans. Parallel Distributed Syst.
Expand IEEE Trans. Parallel Distributed Syst.
2026
| Title | Venue | Year | Link |
|---|---|---|---|
| FLUXLog: A Federated Mixture-of-Experts Framework for Unified Log Anomaly Detection. | IEEE Trans. Parallel Distributed Syst. | 2026 | Link |
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| An Efficient Speculative Federated Tree Learning System With a Lightweight NN-Based Predictor. | IEEE Trans. Parallel Distributed Syst. | 2025 | Link |
| AsyncFedGAN: An Efficient and Staleness-Aware Asynchronous Federated Learning Framework for Generative Adversarial Networks. | IEEE Trans. Parallel Distributed Syst. | 2025 | Link |
| Boosting Resource-Constrained Federated Learning Systems With Guessed Updates. | IEEE Trans. Parallel Distributed Syst. | 2025 | Link |
| Coordinating Computational Capacity for Adaptive Federated Learning in Heterogeneous Edge Computing Systems. | IEEE Trans. Parallel Distributed Syst. | 2025 | Link |
| Decentralized QoS-Aware Model Inference Using Federated Split Learning for Cloud-Edge Medical Detection. | IEEE Trans. Parallel Distributed Syst. | 2025 | Link |
| DegaFL: Decentralized Gradient Aggregation for Cross-Silo Federated Learning. | IEEE Trans. Parallel Distributed Syst. | 2025 | Link |
| FedBiF: Communication-Efficient Federated Learning via Bits Freezing. | IEEE Trans. Parallel Distributed Syst. | 2025 | Link |
| FedCSpc: A Cross-Silo Federated Learning System With Error-Bounded Lossy Parameter Compression. | IEEE Trans. Parallel Distributed Syst. | 2025 | Link |
| FedEFsz: Fair Cross-Silo Federated Learning System With Error-Bounded Lossy Compression. | IEEE Trans. Parallel Distributed Syst. | 2025 | Link |
| FedLoRE: Communication-Efficient and Personalized Edge Intelligence Framework via Federated Low-Rank Estimation. | IEEE Trans. Parallel Distributed Syst. | 2025 | Link |
| FedSR: A Semi-Decentralized Federated Learning Framework for Non-IID Data Based on Incremental Subgradient Optimization. | IEEE Trans. Parallel Distributed Syst. | 2025 | Link |
| FedTune-SGM: A Stackelberg-Driven Personalized Federated Learning Strategy for Edge Networks. | IEEE Trans. Parallel Distributed Syst. | 2025 | Link |
| Loci: Federated Continual Learning of Heterogeneous Tasks at Edge. | IEEE Trans. Parallel Distributed Syst. | 2025 | Link |
| Spread+: Scalable Model Aggregation in Federated Learning With Non-IID Data. | IEEE Trans. Parallel Distributed Syst. | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| Accelerating Communication-Efficient Federated Multi-Task Learning With Personalization and Fairness. | IEEE Trans. Parallel Distributed Syst. | 2024 | Link |
| Breaking the Memory Wall for Heterogeneous Federated Learning via Model Splitting. | IEEE Trans. Parallel Distributed Syst. | 2024 | Link |
| Collaboration in Federated Learning With Differential Privacy: A Stackelberg Game Analysis. | IEEE Trans. Parallel Distributed Syst. | 2024 | Link |
| EcoFed: Efficient Communication for DNN Partitioning-Based Federated Learning. | IEEE Trans. Parallel Distributed Syst. | 2024 | Link |
| FAST: Enhancing Federated Learning Through Adaptive Data Sampling and Local Training. | IEEE Trans. Parallel Distributed Syst. | 2024 | Link |
| Fed-RAC: Resource-Aware Clustering for Tackling Heterogeneity of Participants in Federated Learning. | IEEE Trans. Parallel Distributed Syst. | 2024 | Link |
| FedHAP: Federated Hashing With Global Prototypes for Cross-Silo Retrieval. | IEEE Trans. Parallel Distributed Syst. | 2024 | Link |
| FedICT: Federated Multi-Task Distillation for Multi-Access Edge Computing. | IEEE Trans. Parallel Distributed Syst. | 2024 | Link |
| FedREM: Guided Federated Learning in the Presence of Dynamic Device Unpredictability. | IEEE Trans. Parallel Distributed Syst. | 2024 | Link |
| FedVeca: Federated Vectorized Averaging on Non-IID Data With Adaptive Bi-Directional Global Objective. | IEEE Trans. Parallel Distributed Syst. | 2024 | Link |
| High-Performance Hardware Acceleration Architecture for Cross-Silo Federated Learning. | IEEE Trans. Parallel Distributed Syst. | 2024 | Link |
| Joint Participant and Learning Topology Selection for Federated Learning in Edge Clouds. | IEEE Trans. Parallel Distributed Syst. | 2024 | Link |
| Privacy-Preserving Data Selection for Horizontal and Vertical Federated Learning. | IEEE Trans. Parallel Distributed Syst. | 2024 | Link |
| SR-FDIL: Synergistic Replay for Federated Domain-Incremental Learning. | IEEE Trans. Parallel Distributed Syst. | 2024 | Link |
| Synchronize Only the Immature Parameters: Communication-Efficient Federated Learning By Freezing Parameters Adaptively. | IEEE Trans. Parallel Distributed Syst. | 2024 | Link |
| Taking Advantage of the Mistakes: Rethinking Clustered Federated Learning for IoT Anomaly Detection. | IEEE Trans. Parallel Distributed Syst. | 2024 | Link |
| Trusted Model Aggregation With Zero-Knowledge Proofs in Federated Learning. | IEEE Trans. Parallel Distributed Syst. | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| Auction-Based Cluster Federated Learning in Mobile Edge Computing Systems. | IEEE Trans. Parallel Distributed Syst. | 2023 | Link |
| CHEESE: Distributed Clustering-Based Hybrid Federated Split Learning Over Edge Networks. | IEEE Trans. Parallel Distributed Syst. | 2023 | Link |
| Collaborative Intrusion Detection System for SDVN: A Fairness Federated Deep Learning Approach. | IEEE Trans. Parallel Distributed Syst. | 2023 | Link |
| DRFL: Federated Learning in Diabetic Retinopathy Grading Using Fundus Images. | IEEE Trans. Parallel Distributed Syst. | 2023 | Link |
| Dap-FL: Federated Learning Flourishes by Adaptive Tuning and Secure Aggregation. | IEEE Trans. Parallel Distributed Syst. | 2023 | Link |
| Data-Centric Client Selection for Federated Learning Over Distributed Edge Networks. | IEEE Trans. Parallel Distributed Syst. | 2023 | Link |
| Design of a Quantization-Based DNN Delta Compression Framework for Model Snapshots and Federated Learning. | IEEE Trans. Parallel Distributed Syst. | 2023 | Link |
| Energy-Aware, Device-to-Device Assisted Federated Learning in Edge Computing. | IEEE Trans. Parallel Distributed Syst. | 2023 | Link |
| Faster Federated Learning With Decaying Number of Local SGD Steps. | IEEE Trans. Parallel Distributed Syst. | 2023 | Link |
| FedMDS: An Efficient Model Discrepancy-Aware Semi-Asynchronous Clustered Federated Learning Framework. | IEEE Trans. Parallel Distributed Syst. | 2023 | Link |
| FedProf: Selective Federated Learning Based on Distributional Representation Profiling. | IEEE Trans. Parallel Distributed Syst. | 2023 | Link |
| Federated Ensemble Model-Based Reinforcement Learning in Edge Computing. | IEEE Trans. Parallel Distributed Syst. | 2023 | Link |
| Federated Learning Over Coupled Graphs. | IEEE Trans. Parallel Distributed Syst. | 2023 | Link |
| From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization. | IEEE Trans. Parallel Distributed Syst. | 2023 | Link |
| GossipFL: A Decentralized Federated Learning Framework With Sparsified and Adaptive Communication. | IEEE Trans. Parallel Distributed Syst. | 2023 | Link |
| HiFlash: Communication-Efficient Hierarchical Federated Learning With Adaptive Staleness Control and Heterogeneity-Aware Client-Edge Association. | IEEE Trans. Parallel Distributed Syst. | 2023 | Link |
| HierFedML: Aggregator Placement and UE Assignment for Hierarchical Federated Learning in Mobile Edge Computing. | IEEE Trans. Parallel Distributed Syst. | 2023 | Link |
| Hierarchical Federated Learning With Momentum Acceleration in Multi-Tier Networks. | IEEE Trans. Parallel Distributed Syst. | 2023 | Link |
| Incentive Mechanism Design for Joint Resource Allocation in Blockchain-Based Federated Learning. | IEEE Trans. Parallel Distributed Syst. | 2023 | Link |
| Multi-Job Intelligent Scheduling With Cross-Device Federated Learning. | IEEE Trans. Parallel Distributed Syst. | 2023 | Link |
| On Model Transmission Strategies in Federated Learning With Lossy Communications. | IEEE Trans. Parallel Distributed Syst. | 2023 | Link |
| Personalized Edge Intelligence via Federated Self-Knowledge Distillation. | IEEE Trans. Parallel Distributed Syst. | 2023 | Link |
| Privacy vs. Efficiency: Achieving Both Through Adaptive Hierarchical Federated Learning. | IEEE Trans. Parallel Distributed Syst. | 2023 | Link |
| Scheduling Algorithms for Federated Learning With Minimal Energy Consumption. | IEEE Trans. Parallel Distributed Syst. | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| $f$funcX: Federated Function as a Service for Science. | IEEE Trans. Parallel Distributed Syst. | 2022 | Link |
| A Decentralized Federated Learning Framework via Committee Mechanism With Convergence Guarantee. | IEEE Trans. Parallel Distributed Syst. | 2022 | Link |
| AUCTION: Automated and Quality-Aware Client Selection Framework for Efficient Federated Learning. | IEEE Trans. Parallel Distributed Syst. | 2022 | Link |
| Adaptive Federated Deep Reinforcement Learning for Proactive Content Caching in Edge Computing. | IEEE Trans. Parallel Distributed Syst. | 2022 | Link |
| Adaptive Vertical Federated Learning on Unbalanced Features. | IEEE Trans. Parallel Distributed Syst. | 2022 | Link |
| Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation. | IEEE Trans. Parallel Distributed Syst. | 2022 | Link |
| Communication-Efficient Federated Learning With Compensated Overlap-FedAvg. | IEEE Trans. Parallel Distributed Syst. | 2022 | Link |
| Communicational and Computational Efficient Federated Domain Adaptation. | IEEE Trans. Parallel Distributed Syst. | 2022 | Link |
| Context-Aware Online Client Selection for Hierarchical Federated Learning. | IEEE Trans. Parallel Distributed Syst. | 2022 | Link |
| DONE: Distributed Approximate Newton-type Method for Federated Edge Learning. | IEEE Trans. Parallel Distributed Syst. | 2022 | Link |
| Decentralized Edge Intelligence: A Dynamic Resource Allocation Framework for Hierarchical Federated Learning. | IEEE Trans. Parallel Distributed Syst. | 2022 | Link |
| Differentially Private Byzantine-Robust Federated Learning. | IEEE Trans. Parallel Distributed Syst. | 2022 | Link |
| Differentially Private Federated Temporal Difference Learning. | IEEE Trans. Parallel Distributed Syst. | 2022 | Link |
| Eiffel: Efficient and Fair Scheduling in Adaptive Federated Learning. | IEEE Trans. Parallel Distributed Syst. | 2022 | Link |
| FedGraph: Federated Graph Learning With Intelligent Sampling. | IEEE Trans. Parallel Distributed Syst. | 2022 | Link |
| Federated Learning With Nesterov Accelerated Gradient. | IEEE Trans. Parallel Distributed Syst. | 2022 | Link |
| Flexible Clustered Federated Learning for Client-Level Data Distribution Shift. | IEEE Trans. Parallel Distributed Syst. | 2022 | Link |
| Improving Federated Learning With Quality-Aware User Incentive and Auto-Weighted Model Aggregation. | IEEE Trans. Parallel Distributed Syst. | 2022 | Link |
| Incentive-Aware Autonomous Client Participation in Federated Learning. | IEEE Trans. Parallel Distributed Syst. | 2022 | Link |
| LightFed: An Efficient and Secure Federated Edge Learning System on Model Splitting. | IEEE Trans. Parallel Distributed Syst. | 2022 | Link |
| Min-Max Cost Optimization for Efficient Hierarchical Federated Learning in Wireless Edge Networks. | IEEE Trans. Parallel Distributed Syst. | 2022 | Link |
| Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing. | IEEE Trans. Parallel Distributed Syst. | 2022 | Link |
| On the Benefits of Multiple Gossip Steps in Communication-Constrained Decentralized Federated Learning. | IEEE Trans. Parallel Distributed Syst. | 2022 | Link |
| Privacy-Preserving Efficient Federated-Learning Model Debugging. | IEEE Trans. Parallel Distributed Syst. | 2022 | Link |
| Reputation-Aware Hedonic Coalition Formation for Efficient Serverless Hierarchical Federated Learning. | IEEE Trans. Parallel Distributed Syst. | 2022 | Link |
| TDFL: Truth Discovery Based Byzantine Robust Federated Learning. | IEEE Trans. Parallel Distributed Syst. | 2022 | Link |
| Towards Efficient and Stable K-Asynchronous Federated Learning With Unbounded Stale Gradients on Non-IID Data. | IEEE Trans. Parallel Distributed Syst. | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| Accelerating Federated Learning Over Reliability-Agnostic Clients in Mobile Edge Computing Systems. | IEEE Trans. Parallel Distributed Syst. | 2021 | Link |
| An Efficiency-Boosting Client Selection Scheme for Federated Learning With Fairness Guarantee. | IEEE Trans. Parallel Distributed Syst. | 2021 | Link |
| Biscotti: A Blockchain System for Private and Secure Federated Learning. | IEEE Trans. Parallel Distributed Syst. | 2021 | Link |
| FedSCR: Structure-Based Communication Reduction for Federated Learning. | IEEE Trans. Parallel Distributed Syst. | 2021 | Link |
| Mutual Information Driven Federated Learning. | IEEE Trans. Parallel Distributed Syst. | 2021 | Link |
| Proof of Federated Learning: A Novel Energy-Recycling Consensus Algorithm. | IEEE Trans. Parallel Distributed Syst. | 2021 | Link |
| Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems. | IEEE Trans. Parallel Distributed Syst. | 2021 | Link |
| Towards Efficient Scheduling of Federated Mobile Devices Under Computational and Statistical Heterogeneity. | IEEE Trans. Parallel Distributed Syst. | 2021 | Link |
2020
| Title | Venue | Year | Link |
|---|---|---|---|
| Accelerating Federated Learning via Momentum Gradient Descent. | IEEE Trans. Parallel Distributed Syst. | 2020 | Link |
| Towards Fair and Privacy-Preserving Federated Deep Models. | IEEE Trans. Parallel Distributed Syst. | 2020 | Link |
2013
| Title | Venue | Year | Link |
|---|---|---|---|
| Modeling Object Flows from Distributed and Federated RFID Data Streams for Efficient Tracking and Tracing. | IEEE Trans. Parallel Distributed Syst. | 2013 | Link |
| Service Provision Control in Federated Service Providing Systems. | IEEE Trans. Parallel Distributed Syst. | 2013 | Link |
ACM Trans. Storage
Expand ACM Trans. Storage
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| Multi-objective Optimization of Data Placement in a Storage-as-a-Service Federated Cloud. | ACM Trans. Storage | 2021 | Link |
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Expand IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| Energy-Aware Heterogeneous Federated Learning via Approximate DNN Accelerators. | IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. | 2025 | Link |
| HaloFL: Efficient Heterogeneity-Aware Federated Learning Through Optimal Submodel Extraction and Dynamic Sparse Adjustment. | IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. | 2025 | Link |
| Personalized Federated Learning With State-Adaptive IoT Device Scheduling in Mobile-Edge Computing. | IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. | 2025 | Link |
| SAFE: A Scalable Homomorphic Encryption Accelerator for Vertical Federated Learning. | IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. | 2025 | Link |
| pFed-Litho: Lithography Modeling With a Personalized Federated Learning-Based Framework. | IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| CaBaFL: Asynchronous Federated Learning via Hierarchical Cache and Feature Balance. | IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. | 2024 | Link |
| FedComp: A Federated Learning Compression Framework for Resource-Constrained Edge Computing Devices. | IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. | 2024 | Link |
| FedStar: Efficient Federated Learning on Heterogeneous Communication Networks. | IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. | 2024 | Link |
| FlexFL: Heterogeneous Federated Learning via APoZ-Guided Flexible Pruning in Uncertain Scenarios. | IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. | 2024 | Link |
| Lithography Hotspot Detection Based on Heterogeneous Federated Learning With Local Adaptation and Feature Selection. | IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. | 2024 | Link |
| NebulaFL: Self-Organizing Efficient Multilayer Federated Learning Framework With Adaptive Load Tuning in Heterogeneous Edge Systems. | IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. | 2024 | Link |
| Personalized Meta-Federated Learning for IoT-Enabled Health Monitoring. | IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| Design and Blocking Analysis of Locking Protocols for Real-Time DAG Tasks Under Federated Scheduling. | IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. | 2023 | Link |
| Optimizing Training Efficiency and Cost of Hierarchical Federated Learning in Heterogeneous Mobile-Edge Cloud Computing. | IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. | 2023 | Link |
| Self-Supervised On-Device Federated Learning From Unlabeled Streams. | IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| Client Scheduling and Resource Management for Efficient Training in Heterogeneous IoT-Edge Federated Learning. | IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. | 2022 | Link |
| Locking Protocols for Parallel Real-Time Tasks With Semaphores Under Federated Scheduling. | IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. | 2022 | Link |
| PervasiveFL: Pervasive Federated Learning for Heterogeneous IoT Systems. | IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| Efficient Federated Learning for Cloud-Based AIoT Applications. | IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. | 2021 | Link |
2009
| Title | Venue | Year | Link |
|---|---|---|---|
| From a Federated to an Integrated Automotive Architecture. | IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. | 2009 | Link |
IEEE Trans. Computers
Expand IEEE Trans. Computers
2026
| Title | Venue | Year | Link |
|---|---|---|---|
| S${}{2}$2FL: Toward Efficient and Accurate Heterogeneous Split Federated Learning. | IEEE Trans. Computers | 2026 | Link |
| Toward Personalized Federated Meta-Learning With Constrained Hypernetwork on Non-IID Data. | IEEE Trans. Computers | 2026 | Link |
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| Adaptive Federated Learning Through Dynamic Model Splitting and Multi-Objective Clustering. | IEEE Trans. Computers | 2025 | Link |
| Adaptive Incentivize for Federated Learning With Cloud-Edge Collaboration Under Multi-Level Information Sharing. | IEEE Trans. Computers | 2025 | Link |
| Asymmetrically Decentralized Federated Learning. | IEEE Trans. Computers | 2025 | Link |
| BHerd: Accelerating Federated Learning by Selecting Beneficial Herd of Local Gradients. | IEEE Trans. Computers | 2025 | Link |
| BaDFL: Mitigating Model Poisoning in Decentralized Federated Learning. | IEEE Trans. Computers | 2025 | Link |
| Balancing Privacy and Accuracy Using Significant Gradient Protection in Federated Learning. | IEEE Trans. Computers | 2025 | Link |
| Collaborative Neural Architecture Search for Personalized Federated Learning. | IEEE Trans. Computers | 2025 | Link |
| Fed-OGD: Mitigating Straggler Effects in Federated Learning via Orthogonal Gradient Descent. | IEEE Trans. Computers | 2025 | Link |
| FedQClip: Accelerating Federated Learning via Quantized Clipped SGD. | IEEE Trans. Computers | 2025 | Link |
| Federated Learning Based DDoS Attacks Detection in Large Scale Software-Defined Network. | IEEE Trans. Computers | 2025 | Link |
| JCSRC: Joint Client Selection and Resource Configuration for Energy-Efficient Multi-Task Federated Learning. | IEEE Trans. Computers | 2025 | Link |
| PFed-NS: An Adaptive Personalized Federated Learning Scheme Through Neural Network Segmentation. | IEEE Trans. Computers | 2025 | Link |
| Pruning-Based Adaptive Federated Learning at the Edge. | IEEE Trans. Computers | 2025 | Link |
| SAFA: Handling Sparse and Scarce Data in Federated Learning With Accumulative Learning. | IEEE Trans. Computers | 2025 | Link |
| Sketch-Based Adaptive Communication Optimization in Federated Learning. | IEEE Trans. Computers | 2025 | Link |
| Towards Optimal Customized Architecture for Heterogeneous Federated Learning With Contrastive Cloud-Edge Model Decoupling. | IEEE Trans. Computers | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| Age-Aware Data Selection and Aggregator Placement for Timely Federated Continual Learning in Mobile Edge Computing. | IEEE Trans. Computers | 2024 | Link |
| BSR-FL: An Efficient Byzantine-Robust Privacy-Preserving Federated Learning Framework. | IEEE Trans. Computers | 2024 | Link |
| Digital Twin-Assisted Federated Learning Service Provisioning Over Mobile Edge Networks. | IEEE Trans. Computers | 2024 | Link |
| FedGKD: Toward Heterogeneous Federated Learning via Global Knowledge Distillation. | IEEE Trans. Computers | 2024 | Link |
| FedRFQ: Prototype-Based Federated Learning With Reduced Redundancy, Minimal Failure, and Enhanced Quality. | IEEE Trans. Computers | 2024 | Link |
| User-Distribution-Aware Federated Learning for Efficient Communication and Fast Inference. | IEEE Trans. Computers | 2024 | Link |
| Value of Information: A Comprehensive Metric for Client Selection in Federated Edge Learning. | IEEE Trans. Computers | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| A New Federated Scheduling Algorithm for Arbitrary-Deadline DAG Tasks. | IEEE Trans. Computers | 2023 | Link |
| Accelerating Federated Learning With a Global Biased Optimiser. | IEEE Trans. Computers | 2023 | Link |
| Byzantine-Resilient Federated Learning at Edge. | IEEE Trans. Computers | 2023 | Link |
| Lightweight Blockchain-Empowered Secure and Efficient Federated Edge Learning. | IEEE Trans. Computers | 2023 | Link |
| PrivAim: A Dual-Privacy Preserving and Quality-Aware Incentive Mechanism for Federated Learning. | IEEE Trans. Computers | 2023 | Link |
| Privacy-Enhanced Decentralized Federated Learning at Dynamic Edge. | IEEE Trans. Computers | 2023 | Link |
| Sandbox Computing: A Data Privacy Trusted Sharing Paradigm Via Blockchain and Federated Learning. | IEEE Trans. Computers | 2023 | Link |
| Towards Data-Independent Knowledge Transfer in Model-Heterogeneous Federated Learning. | IEEE Trans. Computers | 2023 | Link |
| Type-Aware Federated Scheduling for Typed DAG Tasks on Heterogeneous Multicore Platforms. | IEEE Trans. Computers | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| Adaptive Federated Learning on Non-IID Data With Resource Constraint. | IEEE Trans. Computers | 2022 | Link |
| BAFL: A Blockchain-Based Asynchronous Federated Learning Framework. | IEEE Trans. Computers | 2022 | Link |
| L4L: Experience-Driven Computational Resource Control in Federated Learning. | IEEE Trans. Computers | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| SAFA: A Semi-Asynchronous Protocol for Fast Federated Learning With Low Overhead. | IEEE Trans. Computers | 2021 | Link |
Nat. Mac. Intell.
Expand Nat. Mac. Intell.
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| Data-driven federated learning in drug discovery with knowledge distillation. | Nat. Mac. Intell. | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| Federated learning is not a cure-all for data ethics. | Nat. Mac. Intell. | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| Federated benchmarking of medical artificial intelligence with MedPerf. | Nat. Mac. Intell. | 2023 | Link |
| Federated machine learning in data-protection-compliant research. | Nat. Mac. Intell. | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| Federated learning and Indigenous genomic data sovereignty. | Nat. Mac. Intell. | 2022 | Link |
Nat. Mach. Intell.
Expand Nat. Mach. Intell.
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| Federated disentangled representation learning for unsupervised brain anomaly detection. | Nat. Mach. Intell. | 2022 | Link |
2020
| Title | Venue | Year | Link |
|---|---|---|---|
| Secure, privacy-preserving and federated machine learning in medical imaging. | Nat. Mach. Intell. | 2020 | Link |
Found. Trends Mach. Learn.
Expand Found. Trends Mach. Learn.
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| Advances and Open Problems in Federated Learning. | Found. Trends Mach. Learn. | 2021 | Link |
Pattern Recognit.
Expand Pattern Recognit.
2026
| Title | Venue | Year | Link |
|---|---|---|---|
| A general aggregation federated learning intervention algorithm based on do-calculus. | Pattern Recognit. | 2026 | Link |
| A multi-spatiotemporal joint next-POI travel sequence recommendation method based on federated learning. | Pattern Recognit. | 2026 | Link |
| Advancing federated domain generalization in ophthalmology: Vision enhancement and consistency assurance for multicenter fundus image segmentation. | Pattern Recognit. | 2026 | Link |
| Coupled tensor train decomposition in federated learning. | Pattern Recognit. | 2026 | Link |
| DpFedFKP: Dynamic personalized federated learning for finger knuckle print recognition. | Pattern Recognit. | 2026 | Link |
| Enhancing federated learning through exploring filter-aware relationships and personalizing local structures. | Pattern Recognit. | 2026 | Link |
| FCP-Pro: Federated conformal prediction algorithm based on prototype similarity. | Pattern Recognit. | 2026 | Link |
| FL-WOSP: Federated learning with walrus optimization for sepsis prediction using MIMIC-III physiological and clinical data. | Pattern Recognit. | 2026 | Link |
| FedFAT: Frequency adpative interpolation for federated domain generalization on heterogeneous medical images. | Pattern Recognit. | 2026 | Link |
| Federated automatic latent variable selection in multi-output Gaussian processes. | Pattern Recognit. | 2026 | Link |
| Federated cross-source learning for lung nodule segmentation with data characteristic-aware weight optimization. | Pattern Recognit. | 2026 | Link |
| Federated domain generalization via data-centric flatness optimization. | Pattern Recognit. | 2026 | Link |
| Multi-target federated backdoor attack based on feature aggregation. | Pattern Recognit. | 2026 | Link |
| Practical privacy-preserving federated learning based on multiparty homomorphic encryption for large-scale models. | Pattern Recognit. | 2026 | Link |
| SCFGL: Soft clustering based federated graph learning on Non-IID graphs. | Pattern Recognit. | 2026 | Link |
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| A novel federated learning framework for semantic segmentation of terminal block in smart substation. | Pattern Recognit. | 2025 | Link |
| FedKT: Federated learning with knowledge transfer for non-IID data. | Pattern Recognit. | 2025 | Link |
| FedPnP: Personalized graph-structured federated learning. | Pattern Recognit. | 2025 | Link |
| Federated Incremental Learning algorithm based on Topological Data Analysis. | Pattern Recognit. | 2025 | Link |
| Graph augmentation guided federated knowledge distillation for multisite functional MRI analysis. | Pattern Recognit. | 2025 | Link |
| Robust decentralized federated learning for heterogeneous and non-ideal networks. | Pattern Recognit. | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| Deep federated learning hybrid optimization model based on encrypted aligned data. | Pattern Recognit. | 2024 | Link |
| Dynamic heterogeneous federated learning with multi-level prototypes. | Pattern Recognit. | 2024 | Link |
| FedNN: Federated learning on concept drift data using weight and adaptive group normalizations. | Pattern Recognit. | 2024 | Link |
| Federated learning for medical image analysis: A survey. | Pattern Recognit. | 2024 | Link |
| Federated zero-shot learning with mid-level semantic knowledge transfer. | Pattern Recognit. | 2024 | Link |
| Hybrid federated learning with brain-region attention network for multi-center Alzheimer's disease detection. | Pattern Recognit. | 2024 | Link |
| Reducing communication in federated learning via efficient client sampling. | Pattern Recognit. | 2024 | Link |
| Towards fair and personalized federated recommendation. | Pattern Recognit. | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| Doubly contrastive representation learning for federated image recognition. | Pattern Recognit. | 2023 | Link |
| FBN: Federated Bert Network with client-server architecture for cross-lingual signature verification. | Pattern Recognit. | 2023 | Link |
| Fast deep autoencoder for federated learning. | Pattern Recognit. | 2023 | Link |
| FedCL: Federated contrastive learning for multi-center medical image classification. | Pattern Recognit. | 2023 | Link |
| Federated adaptive reweighting for medical image classification. | Pattern Recognit. | 2023 | Link |
| Modeling global distribution for federated learning with label distribution skew. | Pattern Recognit. | 2023 | Link |
| Robust federated learning under statistical heterogeneity via Hessian spectral decomposition. | Pattern Recognit. | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| Efficient federated multi-view learning. | Pattern Recognit. | 2022 | Link |
Pattern Recognit. Lett.
Expand Pattern Recognit. Lett.
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| Benchmarking federated learning for semantic datasets: Federated scene graph generation. | Pattern Recognit. Lett. | 2025 | Link |
| Dynamic density adaptive clustering and blockchain integration for efficient federated learning. | Pattern Recognit. Lett. | 2025 | Link |
| Federated Knowledge Recycling: Privacy-preserving synthetic data sharing. | Pattern Recognit. Lett. | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| FAM: Adaptive federated meta-learning for MRI data. | Pattern Recognit. Lett. | 2024 | Link |
| Personalized Federated Learning on long-tailed data via knowledge distillation and generated features. | Pattern Recognit. Lett. | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| Federated learning with â„“1 regularization. | Pattern Recognit. Lett. | 2023 | Link |
Medical Image Anal.
Expand Medical Image Anal.
2026
| Title | Venue | Year | Link |
|---|---|---|---|
| A novel gradient inversion attack framework to investigate privacy vulnerabilities during retinal image-based federated learning. | Medical Image Anal. | 2026 | Link |
| Developing a knowledge-guided federated graph attention learning network with a diffusion module to diagnose Alzheimer's disease. | Medical Image Anal. | 2026 | Link |
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| Efficient one-shot federated learning on medical data using knowledge distillation with image synthesis and client model adaptation. | Medical Image Anal. | 2025 | Link |
| FedBM: Stealing knowledge from pre-trained language models for heterogeneous federated learning. | Medical Image Anal. | 2025 | Link |
| Federated modality-specific encoders and partially personalized fusion decoder for multimodal brain tumor segmentation. | Medical Image Anal. | 2025 | Link |
| From challenges and pitfalls to recommendations and opportunities: Implementing federated learning in healthcare. | Medical Image Anal. | 2025 | Link |
| PathFL: Multi-alignment Federated Learning for pathology image segmentation. | Medical Image Anal. | 2025 | Link |
| Predicting infant brain connectivity with federated multi-trajectory GNNs using scarce data. | Medical Image Anal. | 2025 | Link |
| Shadow defense against gradient inversion attack in federated learning. | Medical Image Anal. | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| Encrypted federated learning for secure decentralized collaboration in cancer image analysis. | Medical Image Anal. | 2024 | Link |
| Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge. | Medical Image Anal. | 2024 | Link |
| Federated brain tumor segmentation: An extensive benchmark. | Medical Image Anal. | 2024 | Link |
| Federated learning with knowledge distillation for multi-organ segmentation with partially labeled datasets. | Medical Image Anal. | 2024 | Link |
| One model to unite them all: Personalized federated learning of multi-contrast MRI synthesis. | Medical Image Anal. | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| Backdoor attack and defense in federated generative adversarial network-based medical image synthesis. | Medical Image Anal. | 2023 | Link |
| FedFTN: Personalized federated learning with deep feature transformation network for multi-institutional low-count PET denoising. | Medical Image Anal. | 2023 | Link |
| Medical federated learning with joint graph purification for noisy label learning. | Medical Image Anal. | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| Federated learning for computational pathology on gigapixel whole slide images. | Medical Image Anal. | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan. | Medical Image Anal. | 2021 | Link |
2020
| Title | Venue | Year | Link |
|---|---|---|---|
| Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results. | Medical Image Anal. | 2020 | Link |
2017
| Title | Venue | Year | Link |
|---|---|---|---|
| Federated optimisation of kinetic analysis problems. | Medical Image Anal. | 2017 | Link |
Comput. Medical Imaging Graph.
Expand Comput. Medical Imaging Graph.
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| FGDN: A Federated Graph Convolutional Network framework for multi-site major depression disorder diagnosis. | Comput. Medical Imaging Graph. | 2025 | Link |
| SFPGCL: Specificity-preserving federated population graph contrastive learning for multi-site ASD identification using rs-fMRI data. | Comput. Medical Imaging Graph. | 2025 | Link |
| Secure and privacy-preserving surgical instrument segmentation in minimally invasive surgeries using federated differential privacy approach. | Comput. Medical Imaging Graph. | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| Medical report generation based on multimodal federated learning. | Comput. Medical Imaging Graph. | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| A review on brain tumor segmentation based on deep learning methods with federated learning techniques. | Comput. Medical Imaging Graph. | 2023 | Link |
Data Min. Knowl. Discov.
Expand Data Min. Knowl. Discov.
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| Fed-FUEL: fairness and utility enhancing agnostic federated learning framework. | Data Min. Knowl. Discov. | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| Federated singular value decomposition for high-dimensional data. | Data Min. Knowl. Discov. | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| Fair detection of poisoning attacks in federated learning on non-i.i.d. data. | Data Min. Knowl. Discov. | 2023 | Link |
| MrTF: model refinery for transductive federated learning. | Data Min. Knowl. Discov. | 2023 | Link |
Knowl. Based Syst.
Expand Knowl. Based Syst.
2026
| Title | Venue | Year | Link |
|---|---|---|---|
| A cluster aggregation-based personalized federated learning framework for wind turbine gearbox fault diagnosis under model heterogeneity. | Knowl. Based Syst. | 2026 | Link |
| FedDHE: A dual entropy-driven framework for robust federated learning in heterogeneous environments. | Knowl. Based Syst. | 2026 | Link |
| FedDNL: Federated differentiated noisy learning for label noise heterogeneity. | Knowl. Based Syst. | 2026 | Link |
| FedDP-FPM: A federated frequent itemset mining algorithm under differential privacy. | Knowl. Based Syst. | 2026 | Link |
| FedMTL: Adaptive multi-teacher knowledge distillation for federated continual learning. | Knowl. Based Syst. | 2026 | Link |
| FedPAD: Aggregation-free federated learning with prototype-based adaptive distillation. | Knowl. Based Syst. | 2026 | Link |
| FedRDA: Federated learning with representation decoupling and divergence-aware aggregation. | Knowl. Based Syst. | 2026 | Link |
| Federated LSTM autoencoders for time series anomaly detection in production-scale HPC systems. | Knowl. Based Syst. | 2026 | Link |
| Federated graph learning under expressiveness heterogeneity with personalized subgraph selection. | Knowl. Based Syst. | 2026 | Link |
| Federated heterogeneous graph neural network enhanced by perturbation graph contrastive learning and SpectralNet for privacy-preserving recommendation. | Knowl. Based Syst. | 2026 | Link |
| Federated semi-supervised calibrated efficient fine-tuning of foundation models for medical image classification. | Knowl. Based Syst. | 2026 | Link |
| Gradient-driven data-free sample balancing for robust hierarchical federated learning. | Knowl. Based Syst. | 2026 | Link |
| LiFedST: A linearized federated split-attention transformer for spatio-temporal forecasting. | Knowl. Based Syst. | 2026 | Link |
| Multimodality-based framework for enhanced skin lesion recognition over federated learning. | Knowl. Based Syst. | 2026 | Link |
| Privacy-preserving context-aware recommendation system with federated neural collaborative filtering. | Knowl. Based Syst. | 2026 | Link |
| Prodigal: Backdoor defense for federated learning beyond robust aggregation. | Knowl. Based Syst. | 2026 | Link |
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| A diversity-aware incentive mechanism for cross-silo federated learning with budget constraint. | Knowl. Based Syst. | 2025 | Link |
| A dual-branch federated graph learning model with global graph structure information. | Knowl. Based Syst. | 2025 | Link |
| A federated compositional knowledge graph embedding for communication efficiency. | Knowl. Based Syst. | 2025 | Link |
| A federated evolving computing architecture for fault inspection in textile manufacturing. | Knowl. Based Syst. | 2025 | Link |
| A heterogeneous federated learning framework for human activity recognition. | Knowl. Based Syst. | 2025 | Link |
| A multi-center federated learning mechanism based on consortium blockchain for data secure sharing. | Knowl. Based Syst. | 2025 | Link |
| AFBS: buffer gradient selection in semi-asynchronous federated learning. | Knowl. Based Syst. | 2025 | Link |
| Accountable federated learning against local poisoning attacks. | Knowl. Based Syst. | 2025 | Link |
| AdapFedRec: A framework for enhanced federated recommendations with adaptive client aggregation and sampling. | Knowl. Based Syst. | 2025 | Link |
| Adaptive aggregation for federated learning using representation ability based on feature alignment. | Knowl. Based Syst. | 2025 | Link |
| Balance recovery and collaborative adaptation approach for federated fault diagnosis of inconsistent machine groups. | Knowl. Based Syst. | 2025 | Link |
| Bidirectional domain transfer knowledge distillation for catastrophic forgetting in federated learning with heterogeneous data. | Knowl. Based Syst. | 2025 | Link |
| Byzantine robustness and performance improvement in federated cross-modal generation of tactile data. | Knowl. Based Syst. | 2025 | Link |
| CUOM: A causal unbiased optimization method for federated domain generalization. | Knowl. Based Syst. | 2025 | Link |
| Class-wise federated unlearning: Harnessing active forgetting with teacher-student memory generation. | Knowl. Based Syst. | 2025 | Link |
| Communication-efficient federated knowledge graph embedding with entity-wise top-K sparsification. | Knowl. Based Syst. | 2025 | Link |
| Communication-efficient personalized federated learning with evolutionary strategies and cluster-aware knowledge transfer. | Knowl. Based Syst. | 2025 | Link |
| Communication-privacy-accuracy trade-offs in federated learning for non-IID data with shuffle model. | Knowl. Based Syst. | 2025 | Link |
| DFDG: Adaptive federated learning for dynamic graph-based traffic forecasting. | Knowl. Based Syst. | 2025 | Link |
| Decentralized federated learning meets Physics-Informed Neural Networks. | Knowl. Based Syst. | 2025 | Link |
| DriveFL: A dynamic reputation incentive mechanism for federated learning in dense internet of vehicles. | Knowl. Based Syst. | 2025 | Link |
| Enhanced Dynamic Deep Q-Network for Federated Learning scheduling policies on IoT devices using explanation-driven trust. | Knowl. Based Syst. | 2025 | Link |
| Enhancing federated learning model adversarial robustness in autonomous vehicles: A lightweight framework with contrastive learning and spatial clustering. | Knowl. Based Syst. | 2025 | Link |
| Evolutionary cross-client network aggregation for personalized federated learning. | Knowl. Based Syst. | 2025 | Link |
| F3: Fair Federated Learning Framework with adaptive regularization. | Knowl. Based Syst. | 2025 | Link |
| FACT: Federated Adaptive Cross Training. | Knowl. Based Syst. | 2025 | Link |
| FCAT: Federated causal adversarial training. | Knowl. Based Syst. | 2025 | Link |
| Fed-GCC: Global classifier consensus for conventional/task-free federated class-incremental learning. | Knowl. Based Syst. | 2025 | Link |
| Fed-MWFP: Lightweight federated learning with interpretable multiple wavelet fusion network for fault diagnosis under variable operating conditions. | Knowl. Based Syst. | 2025 | Link |
| Fed3Scale: A cloud-edge-client tri-scale collaborative semi-supervised hierarchical federated learning framework. | Knowl. Based Syst. | 2025 | Link |
| FedAGHN: Personalized federated learning with attentive graph hypernetworks. | Knowl. Based Syst. | 2025 | Link |
| FedAWM: Adaptive watermark allocation in non-IID federated learning. | Knowl. Based Syst. | 2025 | Link |
| FedCleanse: Cleanse the backdoor attacks in federated learning system. | Knowl. Based Syst. | 2025 | Link |
| FedDFS: Data filtering for stable federated learning. | Knowl. Based Syst. | 2025 | Link |
| FedECP: Enhancing global collaboration and local personalization for personalized federated learning. | Knowl. Based Syst. | 2025 | Link |
| FedFM: A federated few-shot learning method by comparison network and model calibration. | Knowl. Based Syst. | 2025 | Link |
| FedLGMatch: Federated semi-supervised learning via joint local and global pseudo labeling. | Knowl. Based Syst. | 2025 | Link |
| FedMDD: Multi-deliberation based calibration for federated long-tailed learning. | Knowl. Based Syst. | 2025 | Link |
| FedSR: Federated Learning for Image Super-Resolution via detail-assisted contrastive learning. | Knowl. Based Syst. | 2025 | Link |
| FedVOD: A two-stage video object detector training framework based on federated unsupervised learning and feature post-processing. | Knowl. Based Syst. | 2025 | Link |
| Federated Learning with complete service commitment of data heterogeneity. | Knowl. Based Syst. | 2025 | Link |
| Federated causal structure learning with missing data. | Knowl. Based Syst. | 2025 | Link |
| Federated feature reconstruction with collaborative star networks. | Knowl. Based Syst. | 2025 | Link |
| Federated learning model with dynamic scoring-based client selection for diabetes diagnosis. | Knowl. Based Syst. | 2025 | Link |
| Federated learning with integration of decision making method and various machine learning algorithms for Alzheimer's prediction. | Knowl. Based Syst. | 2025 | Link |
| Federated learning-based stacked Capsule Auto-encoder network with bidirectional gated recurrent unit for MVNO slicing mechanism in 6G networks. | Knowl. Based Syst. | 2025 | Link |
| Gradient-based federated Bayesian optimization. | Knowl. Based Syst. | 2025 | Link |
| Grouping competition-based privacy allocation mechanism for federated learning. | Knowl. Based Syst. | 2025 | Link |
| HBOFFS: Hybrid breeding optimization algorithm inspired federated feature selection for intrusion detection in IIoT. | Knowl. Based Syst. | 2025 | Link |
| Heterogeneity-aware pruning framework for personalized federated learning in remote sensing scene classification. | Knowl. Based Syst. | 2025 | Link |
| ID-HFL: Incentive-driven heterogeneous federated learning based on game theory and differential privacy. | Knowl. Based Syst. | 2025 | Link |
| Improving (α,f)-Byzantine resilience in federated learning via layerwise aggregation and cosine distance. | Knowl. Based Syst. | 2025 | Link |
| KG-FedCGNN: federated cross-user graph neural networks for reliable recommendations via knowledge graph enhancement. | Knowl. Based Syst. | 2025 | Link |
| Lightweight model-contrastive federated learning with multi-center clustering for IoT intrusion detection. | Knowl. Based Syst. | 2025 | Link |
| MSFGAN: A multi-source federated generative learning paradigm for robust traffic data imputation. | Knowl. Based Syst. | 2025 | Link |
| MTSec: AIGC-enhanced security model training for multimodal federated learning. | Knowl. Based Syst. | 2025 | Link |
| Margin-guided parameter decoupling-consensus framework for federated domain generalization in machinery fault diagnosis. | Knowl. Based Syst. | 2025 | Link |
| Mitigating backdoor attacks in Federated Learning based intrusion detection systems through Neuron Synaptic Weight Adjustment. | Knowl. Based Syst. | 2025 | Link |
| Optimizing IoT data collection through federated learning and periodic scheduling. | Knowl. Based Syst. | 2025 | Link |
| P-EVFL: Efficient verifiable federated learning with privacy. | Knowl. Based Syst. | 2025 | Link |
| Parameterized data-free knowledge distillation for heterogeneous federated learning. | Knowl. Based Syst. | 2025 | Link |
| Personalized Federated Learning via Classifier Similarity-based Clustering and Bi-Level Optimization. | Knowl. Based Syst. | 2025 | Link |
| Personalized federated learning with multiple classifier aggregation. | Knowl. Based Syst. | 2025 | Link |
| Prototype-based Personalized Federated Learning for medical image classification. | Knowl. Based Syst. | 2025 | Link |
| Secure and incentivized federated learning for resilient telemedicine diagnostics. | Knowl. Based Syst. | 2025 | Link |
| Toward customized model discrepancies in personalized federated learning on non-IID data. | Knowl. Based Syst. | 2025 | Link |
| Verifiable Federated Learning with Group Chaining in Edge Computing. | Knowl. Based Syst. | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| A blockchain-based framework for federated learning with privacy preservation in power load forecasting. | Knowl. Based Syst. | 2024 | Link |
| A federated advisory teacher-student framework with simultaneous learning agents. | Knowl. Based Syst. | 2024 | Link |
| A federated and transfer learning based approach for households load forecasting. | Knowl. Based Syst. | 2024 | Link |
| A hybrid federated kernel regularized least squares algorithm. | Knowl. Based Syst. | 2024 | Link |
| ACFL: Communication-Efficient adversarial contrastive federated learning for medical image segmentation. | Knowl. Based Syst. | 2024 | Link |
| An efficient federated learning framework for graph learning in hyperbolic space. | Knowl. Based Syst. | 2024 | Link |
| DP-FedEwc: Differentially private federated elastic weight consolidation for model personalization. | Knowl. Based Syst. | 2024 | Link |
| Data privacy protection: A novel federated transfer learning scheme for bearing fault diagnosis. | Knowl. Based Syst. | 2024 | Link |
| Defending against gradient inversion attacks in federated learning via statistical machine unlearning. | Knowl. Based Syst. | 2024 | Link |
| Differential private knowledge trading in vehicular federated learning using contract theory. | Knowl. Based Syst. | 2024 | Link |
| FL-OTCSEnc: Towards secure federated learning with deep compressed sensing. | Knowl. Based Syst. | 2024 | Link |
| FLMAAcBD: Defending against backdoors in Federated Learning via Model Anomalous Activation Behavior Detection. | Knowl. Based Syst. | 2024 | Link |
| Facing spatiotemporal heterogeneity: A unified federated continual learning framework with self-challenge rehearsal for industrial monitoring tasks. | Knowl. Based Syst. | 2024 | Link |
| Fair Federated Learning with Opposite GAN. | Knowl. Based Syst. | 2024 | Link |
| Fairness-aware loss history based federated learning heuristic algorithm. | Knowl. Based Syst. | 2024 | Link |
| FedAGA: A federated learning framework for enhanced inter-client relationship learning. | Knowl. Based Syst. | 2024 | Link |
| FedGA: A greedy approach to enhance federated learning with Non-IID data. | Knowl. Based Syst. | 2024 | Link |
| FedGKD: Federated Graph Knowledge Distillation for privacy-preserving rumor detection. | Knowl. Based Syst. | 2024 | Link |
| FedGODE: Secure traffic flow prediction based on federated learning and graph ordinary differential equation networks. | Knowl. Based Syst. | 2024 | Link |
| Federated semi-supervised representation augmentation with cross-institutional knowledge transfer for healthcare collaboration. | Knowl. Based Syst. | 2024 | Link |
| Fine-grained personalized federated learning via transformer in the transformer framework. | Knowl. Based Syst. | 2024 | Link |
| Free lunch for federated remote sensing target fine-grained classification: A parameter-efficient framework. | Knowl. Based Syst. | 2024 | Link |
| GFedKG: GNN-based federated embedding model for knowledge graph completion. | Knowl. Based Syst. | 2024 | Link |
| Intelligent fault diagnosis via ring-based decentralized federated transfer learning. | Knowl. Based Syst. | 2024 | Link |
| Knowledge-based Clustering Federated Learning for fault diagnosis in robotic assembly. | Knowl. Based Syst. | 2024 | Link |
| Mitigating data imbalance and generating better prototypes in heterogeneous Federated Graph Learning. | Knowl. Based Syst. | 2024 | Link |
| Partially shared federated multiview learning. | Knowl. Based Syst. | 2024 | Link |
| PersistVerify: Federated model ownership verification with spatial attention and boundary sampling. | Knowl. Based Syst. | 2024 | Link |
| RoPE: Defending against backdoor attacks in federated learning systems. | Knowl. Based Syst. | 2024 | Link |
| SF-CABD: Secure Byzantine fault tolerance federated learning on Non-IID data. | Knowl. Based Syst. | 2024 | Link |
| Structural graph federated learning: Exploiting high-dimensional information of statistical heterogeneity. | Knowl. Based Syst. | 2024 | Link |
| Tackling data-heterogeneity variations in federated learning via adaptive aggregate weights. | Knowl. Based Syst. | 2024 | Link |
| To be global or personalized: Generalized federated learning with cooperative adaptation for data heterogeneity. | Knowl. Based Syst. | 2024 | Link |
| Towards cross-silo federated learning for corporate organizations. | Knowl. Based Syst. | 2024 | Link |
| Two-stage sampling with predicted distribution changes in federated semi-supervised learning. | Knowl. Based Syst. | 2024 | Link |
| VPFL: Enabling verifiability and privacy in federated learning with zero-knowledge proofs. | Knowl. Based Syst. | 2024 | Link |
| pFedKT: Personalized federated learning with dual knowledge transfer. | Knowl. Based Syst. | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| A dynamic adaptive iterative clustered federated learning scheme. | Knowl. Based Syst. | 2023 | Link |
| A federated feature selection algorithm based on particle swarm optimization under privacy protection. | Knowl. Based Syst. | 2023 | Link |
| Cross-silo heterogeneous model federated multitask learning. | Knowl. Based Syst. | 2023 | Link |
| EHR privacy preservation using federated learning with DQRE-Scnet for healthcare application domains. | Knowl. Based Syst. | 2023 | Link |
| Efficient one-off clustering for personalized federated learning. | Knowl. Based Syst. | 2023 | Link |
| FBL-ET: A federated broad learning framework based on event trigger. | Knowl. Based Syst. | 2023 | Link |
| FL-Defender: Combating targeted attacks in federated learning. | Knowl. Based Syst. | 2023 | Link |
| Federated contrastive prototype learning: An efficient collaborative fault diagnosis method with data privacy. | Knowl. Based Syst. | 2023 | Link |
| Federated learning for secure IoMT-applications in smart healthcare systems: A comprehensive review. | Knowl. Based Syst. | 2023 | Link |
| Label noise analysis meets adversarial training: A defense against label poisoning in federated learning. | Knowl. Based Syst. | 2023 | Link |
| Manipulating vulnerability: Poisoning attacks and countermeasures in federated cloud-edge-client​ learning for image classification. | Knowl. Based Syst. | 2023 | Link |
| MultiFed: A fast converging federated learning framework for services QoS prediction via cloud-edge collaboration mechanism. | Knowl. Based Syst. | 2023 | Link |
| Optimized compressed sensing for communication efficient federated learning. | Knowl. Based Syst. | 2023 | Link |
| Privacy-preserving Federated Learning and its application to natural language processing. | Knowl. Based Syst. | 2023 | Link |
| SASE: Self-Adaptive noise distribution network for Speech Enhancement with Federated Learning using heterogeneous data. | Knowl. Based Syst. | 2023 | Link |
| Trustiness-based hierarchical decentralized federated learning. | Knowl. Based Syst. | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| Backdoor attacks-resilient aggregation based on Robust Filtering of Outliers in federated learning for image classification. | Knowl. Based Syst. | 2022 | Link |
| Designing ECG monitoring healthcare system with federated transfer learning and explainable AI. | Knowl. Based Syst. | 2022 | Link |
| FedStack: Personalized activity monitoring using stacked federated learning. | Knowl. Based Syst. | 2022 | Link |
| Federated Markov Logic Network for indoor activity recognition in Internet of Things. | Knowl. Based Syst. | 2022 | Link |
| Federated Neural Collaborative Filtering. | Knowl. Based Syst. | 2022 | Link |
| Federated adversarial domain generalization network: A novel machinery fault diagnosis method with data privacy. | Knowl. Based Syst. | 2022 | Link |
| Federated knowledge graph completion via embedding-contrastive learning. | Knowl. Based Syst. | 2022 | Link |
| Federated low-rank tensor projections for sequential recommendation. | Knowl. Based Syst. | 2022 | Link |
| Federated one-class collaborative filtering via privacy-aware non-sampling matrix factorization. | Knowl. Based Syst. | 2022 | Link |
| Graph-regularized federated learning with shareable side information. | Knowl. Based Syst. | 2022 | Link |
| Semi-Supervised Federated Heterogeneous Transfer Learning. | Knowl. Based Syst. | 2022 | Link |
| Towards privacy-preserving and verifiable federated matrix factorization. | Knowl. Based Syst. | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| A federated data-driven evolutionary algorithm. | Knowl. Based Syst. | 2021 | Link |
| A federated learning system with enhanced feature extraction for human activity recognition. | Knowl. Based Syst. | 2021 | Link |
| A survey on federated learning. | Knowl. Based Syst. | 2021 | Link |
| FCMF: Federated collective matrix factorization for heterogeneous collaborative filtering. | Knowl. Based Syst. | 2021 | Link |
| Federated conditional generative adversarial nets imputation method for air quality missing data. | Knowl. Based Syst. | 2021 | Link |
| Federated learning for machinery fault diagnosis with dynamic validation and self-supervision. | Knowl. Based Syst. | 2021 | Link |
Inf. Sci.
Expand Inf. Sci.
2026
| Title | Venue | Year | Link |
|---|---|---|---|
| A photon-limited federated learning framework for privacy-aware image classification. | Inf. Sci. | 2026 | Link |
| A verifiable privacy-preserving federated learning scheme based on homomorphic proxy re-encryption. | Inf. Sci. | 2026 | Link |
| Byzantine-resilient federated learning with dynamic scoring matrix and variant PBFT consensus under differential privacy. | Inf. Sci. | 2026 | Link |
| DP-FedPUAC: Federated learning with differential privacy via adaptive gradient clipping and local iteration optimization. | Inf. Sci. | 2026 | Link |
| FLSDA: A synergistic defense against backdoor attacks in federated learning. | Inf. Sci. | 2026 | Link |
| FedGraph-Fair: Federated learning with personalization and fairness via dynamic graphs and distributionally robust optimization. | Inf. Sci. | 2026 | Link |
| FedPure: Data poisoning attack detection and purification for federated skeleton-based action recognition. | Inf. Sci. | 2026 | Link |
| FedWAPR: Bridging theory and practice in probability-driven weighted aggregation for federated learning. | Inf. Sci. | 2026 | Link |
| Federated domain generalization with source knowledge preservation via discriminative ensembles. | Inf. Sci. | 2026 | Link |
| Federated hierarchical clustering with automatic selection of optimal cluster numbers. | Inf. Sci. | 2026 | Link |
| Taming the long tail in federated learning: A unified global and personalized model framework. | Inf. Sci. | 2026 | Link |
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| A joint vehicular device scheduling and uncertain resource management scheme for Federated Learning in Internet of Vehicles. | Inf. Sci. | 2025 | Link |
| An adaptive asynchronous federated learning framework for heterogeneous Internet of things. | Inf. Sci. | 2025 | Link |
| An interpretable client decision tree aggregation process for federated learning. | Inf. Sci. | 2025 | Link |
| Balancing the trade-off between global and personalized performance in federated learning. | Inf. Sci. | 2025 | Link |
| DBFL: Dynamic Byzantine-Robust Privacy Preserving Federated Learning in Heterogeneous Data Scenario. | Inf. Sci. | 2025 | Link |
| Edge computing in Internet of Vehicles: A federated learning method based on Stackelberg dynamic game. | Inf. Sci. | 2025 | Link |
| Efficient multi-party privacy preserving federated k-means based on homomorphic encryption. | Inf. Sci. | 2025 | Link |
| FedCmp: Byzantine-robust federated learning through clustering model update parameters. | Inf. Sci. | 2025 | Link |
| FedPDA: Personalized federated learning based on attribute similarity migration. | Inf. Sci. | 2025 | Link |
| FedRL-Hybrid: A federated hybrid reinforcement learning approach. | Inf. Sci. | 2025 | Link |
| FedRPW: Robust and privacy-compliant watermarking framework for federated model ownership protection. | Inf. Sci. | 2025 | Link |
| Federated dual averaging learning algorithm with delayed gradients for composite optimization. | Inf. Sci. | 2025 | Link |
| Federated learning with adaptive local aggregation for privacy-aware recommender systems in Internet of Vehicles. | Inf. Sci. | 2025 | Link |
| Heterogeneous federated distillation with mutual information maximization for medical relation extraction. | Inf. Sci. | 2025 | Link |
| Privacy-preserving MTS anomaly detection for network devices through federated learning. | Inf. Sci. | 2025 | Link |
| Privacy-preserving and communication-efficient stochastic alternating direction method of multipliers for federated learning. | Inf. Sci. | 2025 | Link |
| Sparse personalized federated class-incremental learning. | Inf. Sci. | 2025 | Link |
| SplitAD: A lightweight and privacy-enhancing vertical federated anomaly detection framework based on hierarchical autoencoders. | Inf. Sci. | 2025 | Link |
| TPFL: Privacy-preserving personalized federated learning mitigates model poisoning attacks. | Inf. Sci. | 2025 | Link |
| Towards heterogeneous federated graph learning via structural entropy and prototype aggregation. | Inf. Sci. | 2025 | Link |
| Towards heterogeneous tasks conflict avoidance for cross-modal federated learning via knowledge distillation. | Inf. Sci. | 2025 | Link |
| VCFL: Verifiable and communication-efficient federated learning against collusion attack for secure aggregation. | Inf. Sci. | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| A federated GAN network-based evolutionary constrained optimization approach to integrated coal mine energy system. | Inf. Sci. | 2024 | Link |
| A secure and privacy preserved infrastructure for VANETs based on federated learning with local differential privacy. | Inf. Sci. | 2024 | Link |
| Achieving federated logistic regression training towards model confidentiality with semi-honest TEE. | Inf. Sci. | 2024 | Link |
| An attention based approach for automated account linkage in federated identity management. | Inf. Sci. | 2024 | Link |
| An incentive mechanism design for federated learning with multiple task publishers by contract theory approach. | Inf. Sci. | 2024 | Link |
| BPFL: Blockchain-based privacy-preserving federated learning against poisoning attack. | Inf. Sci. | 2024 | Link |
| Clustered federated learning based on nonconvex pairwise fusion. | Inf. Sci. | 2024 | Link |
| Communication-efficient and privacy-preserving large-scale federated learning counteracting heterogeneity. | Inf. Sci. | 2024 | Link |
| Communication-efficient federated learning via personalized filter pruning. | Inf. Sci. | 2024 | Link |
| Contribution-wise Byzantine-robust aggregation for Class-Balanced Federated Learning. | Inf. Sci. | 2024 | Link |
| Copyright protection framework for federated learning models against collusion attacks. | Inf. Sci. | 2024 | Link |
| CosPer: An adaptive personalized approach for enhancing fairness and robustness of federated learning. | Inf. Sci. | 2024 | Link |
| DeFTA: A plug-and-play peer-to-peer decentralized federated learning framework. | Inf. Sci. | 2024 | Link |
| Differentially private federated learning with local momentum updates and gradients filtering. | Inf. Sci. | 2024 | Link |
| FDCNN-AS: Federated deep convolutional neural network Alzheimer detection schemes for different age groups. | Inf. Sci. | 2024 | Link |
| Fed-mRMR: A lossless federated feature selection method. | Inf. Sci. | 2024 | Link |
| FedAGAT: Real-time traffic flow prediction based on federated community and adaptive graph attention network. | Inf. Sci. | 2024 | Link |
| FedGL: Federated graph learning framework with global self-supervision. | Inf. Sci. | 2024 | Link |
| FedNor: A robust training framework for federated learning based on normal aggregation. | Inf. Sci. | 2024 | Link |
| FedSW: Federated learning with adaptive sample weights. | Inf. Sci. | 2024 | Link |
| Federated Bayesian optimization via compressed sensing. | Inf. Sci. | 2024 | Link |
| Federated distillation and blockchain empowered secure knowledge sharing for Internet of medical Things. | Inf. Sci. | 2024 | Link |
| Federated learning via reweighting information bottleneck with domain generalization. | Inf. Sci. | 2024 | Link |
| Federated semi-supervised learning with tolerant guidance and powerful classifier in edge scenarios. | Inf. Sci. | 2024 | Link |
| FlexibleFL: Mitigating poisoning attacks with contributions in cloud-edge federated learning systems. | Inf. Sci. | 2024 | Link |
| GradDiff: Gradient-based membership inference attacks against federated distillation with differential comparison. | Inf. Sci. | 2024 | Link |
| HarmoSATE: Harmonized embedding-based self-attentive encoder to improve accuracy of privacy-preserving federated predictive analysis. | Inf. Sci. | 2024 | Link |
| PT-ADP: A personalized privacy-preserving federated learning scheme based on transaction mechanism. | Inf. Sci. | 2024 | Link |
| Privacy preservation-based federated learning with uncertain data. | Inf. Sci. | 2024 | Link |
| Privacy-preserving federated Bayesian optimization with learnable noise. | Inf. Sci. | 2024 | Link |
| Resource-aware multi-criteria vehicle participation for federated learning in Internet of vehicles. | Inf. Sci. | 2024 | Link |
| SDA-FC: Bridging federated clustering and deep generative model. | Inf. Sci. | 2024 | Link |
| SFL: A semantic-based federated learning method for POI recommendation. | Inf. Sci. | 2024 | Link |
| Secure and efficient federated learning via novel multi-party computation and compressed sensing. | Inf. Sci. | 2024 | Link |
| Secure and efficient multi-key aggregation for federated learning. | Inf. Sci. | 2024 | Link |
| Supplement data in federated learning with a generator transparent to clients. | Inf. Sci. | 2024 | Link |
| Towards blockchain-enabled decentralized and secure federated learning. | Inf. Sci. | 2024 | Link |
| iDP-FL: A fine-grained and privacy-aware federated learning framework for deep neural networks. | Inf. Sci. | 2024 | Link |
| rFedFW: Secure and trustable aggregation scheme for Byzantine-robust federated learning in Internet of Things. | Inf. Sci. | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| A federated learning and blockchain framework for physiological signal classification based on continual learning. | Inf. Sci. | 2023 | Link |
| A federated learning-based approach to recognize subjects at a high risk of hypertension in a non-stationary scenario. | Inf. Sci. | 2023 | Link |
| AdaSTopk: Adaptive federated shuffle model based on differential privacy. | Inf. Sci. | 2023 | Link |
| Compromise privacy in large-batch Federated Learning via model poisoning. | Inf. Sci. | 2023 | Link |
| Data independent warmup scheme for non-IID federated learning. | Inf. Sci. | 2023 | Link |
| Efficient and persistent backdoor attack by boundary trigger set constructing against federated learning. | Inf. Sci. | 2023 | Link |
| Efficient and privacy-preserving online diagnosis scheme based on federated learning in e-healthcare system. | Inf. Sci. | 2023 | Link |
| Enhancing privacy preservation and trustworthiness for decentralized federated learning. | Inf. Sci. | 2023 | Link |
| Fed-ESD: Federated learning for efficient epileptic seizure detection in the fog-assisted internet of medical things. | Inf. Sci. | 2023 | Link |
| FedPOIRec: Privacy-preserving federated poi recommendation with social influence. | Inf. Sci. | 2023 | Link |
| FedRich: Towards efficient federated learning for heterogeneous clients using heuristic scheduling. | Inf. Sci. | 2023 | Link |
| FedSULP: A communication-efficient federated learning framework with selective updating and loss penalization. | Inf. Sci. | 2023 | Link |
| Federated learning in smart cities: Privacy and security survey. | Inf. Sci. | 2023 | Link |
| Federated multi-objective reinforcement learning. | Inf. Sci. | 2023 | Link |
| Federated probability memory recall for federated continual learning. | Inf. Sci. | 2023 | Link |
| Heterogeneity-aware fair federated learning. | Inf. Sci. | 2023 | Link |
| Mitigating the performance sacrifice in DP-satisfied federated settings through graph contrastive learning. | Inf. Sci. | 2023 | Link |
| Model poisoning attack in differential privacy-based federated learning. | Inf. Sci. | 2023 | Link |
| Personalized federated learning: A Clustered Distributed Co-Meta-Learning approach. | Inf. Sci. | 2023 | Link |
| Privacy-preserving federated mining of frequent itemsets. | Inf. Sci. | 2023 | Link |
| Randomization is all you need: A privacy-preserving federated learning framework for news recommendation. | Inf. Sci. | 2023 | Link |
| SVeriFL: Successive verifiable federated learning with privacy-preserving. | Inf. Sci. | 2023 | Link |
| Semi-supervised federated learning on evolving data streams. | Inf. Sci. | 2023 | Link |
| Word2Vec-based efficient privacy-preserving shared representation learning for federated recommendation system in a cross-device setting. | Inf. Sci. | 2023 | Link |
| f-FNC: Privacy concerned efficient federated approach for fake news classification. | Inf. Sci. | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| An improved federated learning approach enhanced internet of health things framework for private decentralized distributed data. | Inf. Sci. | 2022 | Link |
| Byzantine-robust variance-reduced federated learning over distributed non-i.i.d. data. | Inf. Sci. | 2022 | Link |
| CORK: A privacy-preserving and lossless federated learning scheme for deep neural network. | Inf. Sci. | 2022 | Link |
| Fairness and accuracy in horizontal federated learning. | Inf. Sci. | 2022 | Link |
| Federated against the cold: A trust-based federated learning approach to counter the cold start problem in recommendation systems. | Inf. Sci. | 2022 | Link |
| Federated stochastic configuration networks for distributed data analytics. | Inf. Sci. | 2022 | Link |
| Partially-federated learning: A new approach to achieving privacy and effectiveness. | Inf. Sci. | 2022 | Link |
| Population based training and federated learning frameworks for hyperparameter optimisation and ML unfairness using Ulimisana Optimisation Algorithm. | Inf. Sci. | 2022 | Link |
| Privacy-preserving knowledge transfer for intrusion detection with federated deep autoencoding gaussian mixture model. | Inf. Sci. | 2022 | Link |
| RTGA: Robust ternary gradients aggregation for federated learning. | Inf. Sci. | 2022 | Link |
| SOWCompact: A federated process mining method for social workflows. | Inf. Sci. | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| A privacy-preserving and non-interactive federated learning scheme for regression training with gradient descent. | Inf. Sci. | 2021 | Link |
| MHAT: An efficient model-heterogenous aggregation training scheme for federated learning. | Inf. Sci. | 2021 | Link |
| Neural network quantization in federated learning at the edge. | Inf. Sci. | 2021 | Link |
| Optimized and federated soft-impute for privacy-preserving tensor completion in cyber-physical-social systems. | Inf. Sci. | 2021 | Link |
| PFLM: Privacy-preserving federated learning with membership proof. | Inf. Sci. | 2021 | Link |
2020
| Title | Venue | Year | Link |
|---|---|---|---|
| A training-integrity privacy-preserving federated learning scheme with trusted execution environment. | Inf. Sci. | 2020 | Link |
| Federated learning with adaptive communication compression under dynamic bandwidth and unreliable networks. | Inf. Sci. | 2020 | Link |
| Privacy-preserving federated k-means for proactive caching in next generation cellular networks. | Inf. Sci. | 2020 | Link |
| The data richness estimation framework for federated data warehouse integration. | Inf. Sci. | 2020 | Link |
| UAV-Aided trustworthy data collection in federated-WSN-enabled IoT applications. | Inf. Sci. | 2020 | Link |
2019
| Title | Venue | Year | Link |
|---|---|---|---|
| Privacy-aware service placement for mobile edge computing via federated learning. | Inf. Sci. | 2019 | Link |
2016
| Title | Venue | Year | Link |
|---|---|---|---|
| A partnership-based approach to improve QoS on federated computing infrastructures. | Inf. Sci. | 2016 | Link |
1995
| Title | Venue | Year | Link |
|---|---|---|---|
| Temporal Modules: An Approach Toward Federated Temporal Databases. | Inf. Sci. | 1995 | Link |
1994
| Title | Venue | Year | Link |
|---|---|---|---|
| A Logic-Based Approach to Query Processing in Federated Databases. | Inf. Sci. | 1994 | Link |
Expert Syst. Appl.
Expand Expert Syst. Appl.
2026
| Title | Venue | Year | Link |
|---|---|---|---|
| A blockchain empowered federated differentiable search index framework for secure information collaboration. | Expert Syst. Appl. | 2026 | Link |
| A prototype-based framework for open-set heterogeneous federated face recognition. | Expert Syst. Appl. | 2026 | Link |
| A two-phase federated learning framework for machinery fault diagnosis with cloud-edge collaborative computing. | Expert Syst. Appl. | 2026 | Link |
| Adaptive and efficient federated distillation with selective homomorphic encryption for edge AI. | Expert Syst. Appl. | 2026 | Link |
| Adaptive model splitting with sample-efficient reinforcement learning for federated learning. | Expert Syst. Appl. | 2026 | Link |
| AdaptiveStreamFL: A Bayesian-enhanced multi-scale federated learning framework for dynamic data streams with uncertainty quantification. | Expert Syst. Appl. | 2026 | Link |
| Anomaly detection method for satellite networks based on genetic optimization federated learning. | Expert Syst. Appl. | 2026 | Link |
| CFARMS: A clustered federated learning framework with recursive model selection. | Expert Syst. Appl. | 2026 | Link |
| DAG-Driven Optimization for heterogeneous federated learning based on fuzzy entropy and benders decomposition. | Expert Syst. Appl. | 2026 | Link |
| Decentralized federated learning based on bivariate controlled averaging and sharpness aware minimization. | Expert Syst. Appl. | 2026 | Link |
| FLIT: Federated ledger and intelligence for trust-bootstrapping in the Internet of Medical Things. | Expert Syst. Appl. | 2026 | Link |
| Feature disentanglement and cross-domain synthesis via federated style transfer for Non-IID segmentation. | Expert Syst. Appl. | 2026 | Link |
| Fed-MSV: Client sampling optimization based on modified Shapley value for federated learning. | Expert Syst. Appl. | 2026 | Link |
| FedACE: A Federated Adaptive Components Exfoliation method for medical image segmentation in non-IID scenarios. | Expert Syst. Appl. | 2026 | Link |
| FedAspect-GNN: Integrating aspect-level sentiment analysis and graph neural networks for federated recommendation. | Expert Syst. Appl. | 2026 | Link |
| FedCC: Federated cluster-aware contrastive learning with adaptive differential privacy under non-IID settings. | Expert Syst. Appl. | 2026 | Link |
| FedCTPM: A federated cross-regional collaboration learning approach for traffic flow prediction. | Expert Syst. Appl. | 2026 | Link |
| FedCkic: A federated learning inference attack defense method based on centralized key agreement and integrity verification. | Expert Syst. Appl. | 2026 | Link |
| FedFA: Efficient federated large language models with feature adapters. | Expert Syst. Appl. | 2026 | Link |
| FedGCLRec: Federated graph contrastive learning framework for social influence recommendations. | Expert Syst. Appl. | 2026 | Link |
| FedKG: Federated POI recommendation via generative knowledge distillation against spatial heterogeneity. | Expert Syst. Appl. | 2026 | Link |
| FedLBW: A loss-based weighting strategy for federated learning on non-IID data in wireless networks. | Expert Syst. Appl. | 2026 | Link |
| FedLSC: Federated learning with layer similarity comparison for cross-institutional skin cancer image classification. | Expert Syst. Appl. | 2026 | Link |
| FedPA: Property-aware federated learning for cellular traffic prediction. | Expert Syst. Appl. | 2026 | Link |
| Federated class-incremental learning with prompting. | Expert Syst. Appl. | 2026 | Link |
| Federated continual learning for task-incremental and class-incremental problems: A survey. | Expert Syst. Appl. | 2026 | Link |
| Federated learning based on two-stage knowledge distillation for intrusion detection in industrial IoT. | Expert Syst. Appl. | 2026 | Link |
| Federated learning-based spectrum and energy efficiency enhancement in HAP-assisted LEO satellite communication. | Expert Syst. Appl. | 2026 | Link |
| Federated recommender system with data valuation for E-commerce platform. | Expert Syst. Appl. | 2026 | Link |
| Federated transfer learning for anomaly detection in HPC systems: First real-world validation on a tier-0 supercomputer. | Expert Syst. Appl. | 2026 | Link |
| Federated transfer learning-based intrusion detection system in 5G networks. | Expert Syst. Appl. | 2026 | Link |
| Geographical distributed turbine power prediction using personalized federated learning. | Expert Syst. Appl. | 2026 | Link |
| HierFLMC: Efficient hierarchical federated learning based on soft clustering model compression. | Expert Syst. Appl. | 2026 | Link |
| HyperShield: A personalized hypernetwork-based defense against poisoning attacks in federated learning for healthcare. | Expert Syst. Appl. | 2026 | Link |
| Intrusion detection system for shipping communication networks based on federated distillation learning. | Expert Syst. Appl. | 2026 | Link |
| MedFedProto: A semi-Supervised classification framework for medical images based on federated prototypical learning. | Expert Syst. Appl. | 2026 | Link |
| One-class classification via generative adversarial and federated distillation. | Expert Syst. Appl. | 2026 | Link |
| PFL-TEnet: Personalized federated learning for wind power forecasting via time-series embedding and hypernetwork modeling. | Expert Syst. Appl. | 2026 | Link |
| PassREfinder-FL: Privacy-preserving credential stuffing risk prediction via graph-based federated learning for representing password reuse between websites. | Expert Syst. Appl. | 2026 | Link |
| Personalized federated learning with mixture of experts and conformal prediction for household energy forecasting. | Expert Syst. Appl. | 2026 | Link |
| PriSecFedFR: Privacy-secure face recognition model training via federated learning and random projection. | Expert Syst. Appl. | 2026 | Link |
| SFLES: Shuffled differentially private federated learning with early-stopping strategy. | Expert Syst. Appl. | 2026 | Link |
| Shielding federated learning: mitigating label transferability against poisoning attacks in cloud-edge-client system. | Expert Syst. Appl. | 2026 | Link |
| Spectrum occupancy detection supported by centralized or distributed federated learning. | Expert Syst. Appl. | 2026 | Link |
| TGFed: Transferability-guided federated learning for unseen client adaptation. | Expert Syst. Appl. | 2026 | Link |
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| A client-level dynamic federated learning reweighting strategy for long-tailed classification. | Expert Syst. Appl. | 2025 | Link |
| A data trading scheme based on blockchain and game theory in federated learning. | Expert Syst. Appl. | 2025 | Link |
| A unified Personalized Federated Learning framework ensuring Domain Generalization. | Expert Syst. Appl. | 2025 | Link |
| AGRIFOLD: AGRIculture Federated learning for Optimized Leaf disease Detection. | Expert Syst. Appl. | 2025 | Link |
| ANODYNE: Mitigating backdoor attacks in federated learning. | Expert Syst. Appl. | 2025 | Link |
| Accelerating Federated Learning with genetic algorithm enhancements. | Expert Syst. Appl. | 2025 | Link |
| Adaptive federated class-Incremental learning for reducing catastrophic forgetting. | Expert Syst. Appl. | 2025 | Link |
| Byzantine-robust one-shot federated learning based on hybrid-domain fuzzy clustering and meta learning. | Expert Syst. Appl. | 2025 | Link |
| DKD-pFed: A novel framework for personalized federated learning via decoupling knowledge distillation and feature decorrelation. | Expert Syst. Appl. | 2025 | Link |
| Edge-assisted U-shaped split federated learning with privacy-preserving for Internet of Things. | Expert Syst. Appl. | 2025 | Link |
| Effective test-time personalization for federated semantic segmentation. | Expert Syst. Appl. | 2025 | Link |
| Enhancing crop yield prediction for agriculture productivity using federated learning integrating with graph and recurrent neural networks model. | Expert Syst. Appl. | 2025 | Link |
| Enhancing decomposition-based hybrid models for forecasting multivariate and multi-source time series by federated transfer learning. | Expert Syst. Appl. | 2025 | Link |
| FGS-FL: Enhancing federated learning with differential privacy via flat gradient stream. | Expert Syst. Appl. | 2025 | Link |
| FedAgent: Federated Learning on Non-IID Data via Reinforcement Learning and Knowledge Distillation. | Expert Syst. Appl. | 2025 | Link |
| FedCET: Collaborative federated learning across cloud-edge-terminal in Computing and Network Convergence of 6G system. | Expert Syst. Appl. | 2025 | Link |
| FedHNR: Federated hierarchical resilient learning for echocardiogram segmentation with annotation noise. | Expert Syst. Appl. | 2025 | Link |
| FedImpute: Personalized federated learning for data imputation with clusterer and auxiliary classifier. | Expert Syst. Appl. | 2025 | Link |
| FedSC: Relieve client interference in personalized federated learning for CNNs via sensitivity perception and cluster coverage. | Expert Syst. Appl. | 2025 | Link |
| Fedai: Federated recommendation system with anonymized interactions. | Expert Syst. Appl. | 2025 | Link |
| Federated learning enabled multi-key homomorphic encryption. | Expert Syst. Appl. | 2025 | Link |
| Federated learning framework based on trimmed mean aggregation rules. | Expert Syst. Appl. | 2025 | Link |
| Federated learning with self-updating server parameters for smart home intrusion detection in Non-IID environments. | Expert Syst. Appl. | 2025 | Link |
| Federated multi-agent reinforcement learning: A comprehensive survey of methods, applications and challenges. | Expert Syst. Appl. | 2025 | Link |
| Federated semi-supervised learning via globally guided pseudo-labeling: A robust approach for label-scarce scenarios. | Expert Syst. Appl. | 2025 | Link |
| Harmony in diversity: Personalized federated learning against statistical heterogeneity via a de-personalized feature process. | Expert Syst. Appl. | 2025 | Link |
| HyperMem: Hypernetwork with memory for forgetting problem in federated reinforcement learning. | Expert Syst. Appl. | 2025 | Link |
| ILAMP: Improved text extraction from gradients in federated learning using language model priors and sequence beam search. | Expert Syst. Appl. | 2025 | Link |
| Overview of fair federated learning for fairness and privacy preservation. | Expert Syst. Appl. | 2025 | Link |
| PFGRS: A Privacy-preserving Subgraph-level Federated Graph learning for Recommender System. | Expert Syst. Appl. | 2025 | Link |
| PerFedSAC: Energy-time-aware personalized federated learning via soft actor-critic in resource-constrained IoT. | Expert Syst. Appl. | 2025 | Link |
| Prediction of ailments using federated transfer learning and weight penalty-rational Tanh-RNN. | Expert Syst. Appl. | 2025 | Link |
| Privacy-preserving and efficient verifiable federated learning scheme based on proxy re-signature. | Expert Syst. Appl. | 2025 | Link |
| Privacy-preserving federated learning based on noise addition. | Expert Syst. Appl. | 2025 | Link |
| Privacy-preserving federated learning with intermediate-level model sharing. | Expert Syst. Appl. | 2025 | Link |
| Private and heterogeneous personalized hierarchical federated learning using Conditional Generative Adversarial networks. | Expert Syst. Appl. | 2025 | Link |
| SFFL: Self-aware fairness federated learning framework for heterogeneous data distributions. | Expert Syst. Appl. | 2025 | Link |
| Scalable order dispatching through Federated Multi-Agent Deep Reinforcement Learning. | Expert Syst. Appl. | 2025 | Link |
| SelfFed: Self-supervised federated learning for data heterogeneity and label scarcity in medical images. | Expert Syst. Appl. | 2025 | Link |
| ZO-APFPG: a provably zeroth-order adaptive personalized federated policy gradient algorithm for reinforcement learning with environment heterogeneity. | Expert Syst. Appl. | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| A collaborative ensemble construction method for federated random forest. | Expert Syst. Appl. | 2024 | Link |
| A decentralized federated learning-based spatial-temporal model for freight traffic speed forecasting. | Expert Syst. Appl. | 2024 | Link |
| A federated semi-supervised automatic sleep staging method based on relationship knowledge sharing. | Expert Syst. Appl. | 2024 | Link |
| A multi-stage LSTM federated forecasting method for multi-loads under multi-time scales. | Expert Syst. Appl. | 2024 | Link |
| A privacy-preserving federated graph learning framework for threat detection in IoT trigger-action programming. | Expert Syst. Appl. | 2024 | Link |
| Beyond data poisoning in federated learning. | Expert Syst. Appl. | 2024 | Link |
| Cloud-edge collaborative transfer fault diagnosis of rotating machinery via federated fine-tuning and target self-adaptation. | Expert Syst. Appl. | 2024 | Link |
| Corrigendum to "Fedstellar: A platform for decentralized federated learning" [Expert Syst. Appl. 242 (2024) 122861]. | Expert Syst. Appl. | 2024 | Link |
| Credit card fraud detection based on federated graph learning. | Expert Syst. Appl. | 2024 | Link |
| DRA: A data reconstruction attack on vertical federated k-means clustering. | Expert Syst. Appl. | 2024 | Link |
| Deep learning-based credit card fraud detection in federated learning. | Expert Syst. Appl. | 2024 | Link |
| EAFL: Equilibrium Augmentation Mechanism to Enhance Federated Learning for Aspect Category Sentiment Analysis. | Expert Syst. Appl. | 2024 | Link |
| FSLEdge: An energy-aware edge intelligence framework based on Federated Split Learning for Industrial Internet of Things. | Expert Syst. Appl. | 2024 | Link |
| Fault diagnosis based on federated learning driven by dynamic expansion for model layers of imbalanced client. | Expert Syst. Appl. | 2024 | Link |
| FedCRMW: Federated model ownership verification with compression-resistant model watermarking. | Expert Syst. Appl. | 2024 | Link |
| FedEL: Federated ensemble learning for non-iid data. | Expert Syst. Appl. | 2024 | Link |
| FedMMD: A Federated weighting algorithm considering Non-IID and Local Model Deviation. | Expert Syst. Appl. | 2024 | Link |
| Federated learning based on Stackelberg game in unmanned-aerial-vehicle-enabled mobile edge computing. | Expert Syst. Appl. | 2024 | Link |
| Federated learning meets remote sensing. | Expert Syst. Appl. | 2024 | Link |
| Federated recommender systems based on deep learning: The experimental comparisons of deep learning algorithms and federated learning aggregation strategies. | Expert Syst. Appl. | 2024 | Link |
| Fedstellar: A Platform for Decentralized Federated Learning. | Expert Syst. Appl. | 2024 | Link |
| Learning by imitating the classics: Mitigating class imbalance in federated learning via simulated centralized learning. | Expert Syst. Appl. | 2024 | Link |
| Model optimization techniques in personalized federated learning: A survey. | Expert Syst. Appl. | 2024 | Link |
| Model pruning enables localized and efficient federated learning for yield forecasting and data sharing. | Expert Syst. Appl. | 2024 | Link |
| PPFGED: Federated learning for graphic element detection with privacy preservation in multi-source substation drawings. | Expert Syst. Appl. | 2024 | Link |
| Personalized federated reinforcement learning: Balancing personalization and experience sharing via distance constraint. | Expert Syst. Appl. | 2024 | Link |
| Physics-guided federated learning as an enabler for digital twins. | Expert Syst. Appl. | 2024 | Link |
| Privacy-preserving and Byzantine-robust Federated Learning Framework using Permissioned Blockchain. | Expert Syst. Appl. | 2024 | Link |
| Privacy-preserving federated discovery of DNA motifs with differential privacy. | Expert Syst. Appl. | 2024 | Link |
| Privacy-preserving intelligent fault diagnostics for wind turbine clusters using federated stacked capsule autoencoder. | Expert Syst. Appl. | 2024 | Link |
| SRFL: A Secure & Robust Federated Learning framework for IoT with trusted execution environments. | Expert Syst. Appl. | 2024 | Link |
| SecFL - Secure Federated Learning Framework for predicting defects in sheet metal forming under variability. | Expert Syst. Appl. | 2024 | Link |
| Semi-global sequential recommendation via EM-like federated training. | Expert Syst. Appl. | 2024 | Link |
| T-FedHA: A Trusted Hierarchical Asynchronous Federated Learning Framework for Internet of Things. | Expert Syst. Appl. | 2024 | Link |
| TiFLCS-MARP: Client selection and model pricing for federated learning in data markets. | Expert Syst. Appl. | 2024 | Link |
| Towards a federated and hybrid cloud computing environment for sustainable and effective provisioning of cyber security virtual laboratories. | Expert Syst. Appl. | 2024 | Link |
| Towards optimal learning: Investigating the impact of different model updating strategies in federated learning. | Expert Syst. Appl. | 2024 | Link |
| Weakly Supervised anomaly detection with privacy preservation under a Bi-Level Federated learning framework. | Expert Syst. Appl. | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| A distributed joint extraction framework for sedimentological entities and relations with federated learning. | Expert Syst. Appl. | 2023 | Link |
| A novel local differential privacy federated learning under multi-privacy regimes. | Expert Syst. Appl. | 2023 | Link |
| Asynchronous federated learning system for human-robot touch interaction. | Expert Syst. Appl. | 2023 | Link |
| Asynchronous federated learning with directed acyclic graph-based blockchain in edge computing: Overview, design, and challenges. | Expert Syst. Appl. | 2023 | Link |
| Bandit-based data poisoning attack against federated learning for autonomous driving models. | Expert Syst. Appl. | 2023 | Link |
| Fed-ANIDS: Federated learning for anomaly-based network intrusion detection systems. | Expert Syst. Appl. | 2023 | Link |
| Federated learning based driver recommendation for next generation transportation system. | Expert Syst. Appl. | 2023 | Link |
| Privacy-Preserving and Traceable Federated Learning for data sharing in industrial IoT applications. | Expert Syst. Appl. | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| Communication-efficient federated recommendation model based on many-objective evolutionary algorithm. | Expert Syst. Appl. | 2022 | Link |
| Definition of a novel federated learning approach to reduce communication costs. | Expert Syst. Appl. | 2022 | Link |
| Federated learning for violence incident prediction in a simulated cross-institutional psychiatric setting. | Expert Syst. Appl. | 2022 | Link |
| Federated optimization via knowledge codistillation. | Expert Syst. Appl. | 2022 | Link |
| Vertical federated learning-based feature selection with non-overlapping sample utilization. | Expert Syst. Appl. | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| Clustering of large scale QoS time series data in federated clouds using improved variable Chromosome Length Genetic Algorithm (CQGA). | Expert Syst. Appl. | 2021 | Link |
IEEE Intell. Syst.
Expand IEEE Intell. Syst.
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| FL4SDN: A Fast-Convergent Federated Learning for Distributed and Heterogeneous SDN. | IEEE Intell. Syst. | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| Regulated Federated Learning Against the Effects of Heterogeneity and Client Attacks. | IEEE Intell. Syst. | 2024 | Link |
| SupRTE: Suppressing Backdoor Injection in Federated Learning via Robust Trust Evaluation. | IEEE Intell. Syst. | 2024 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| Contribution- and Participation-Based Federated Learning on Non-IID Data. | IEEE Intell. Syst. | 2022 | Link |
| Dynamic Sampling and Selective Masking for Communication-Efficient Federated Learning. | IEEE Intell. Syst. | 2022 | Link |
| Heterogeneous Federated Meta-Learning With Mutually Constrained Propagation. | IEEE Intell. Syst. | 2022 | Link |
| Non-IID Federated Learning. | IEEE Intell. Syst. | 2022 | Link |
| Robust Federated Learning With Noisy Labels. | IEEE Intell. Syst. | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| FedRec: Federated Recommendation With Explicit Feedback. | IEEE Intell. Syst. | 2021 | Link |
| Federated Digital Gateway: Methodologies, Tools, and Applications. | IEEE Intell. Syst. | 2021 | Link |
| Federated Topic Discovery: A Semantic Consistent Approach. | IEEE Intell. Syst. | 2021 | Link |
| Hiding in the Crowd: Federated Data Augmentation for On-Device Learning. | IEEE Intell. Syst. | 2021 | Link |
| Secure Federated Matrix Factorization. | IEEE Intell. Syst. | 2021 | Link |
| SecureBoost: A Lossless Federated Learning Framework. | IEEE Intell. Syst. | 2021 | Link |
2020
| Title | Venue | Year | Link |
|---|---|---|---|
| A Secure Federated Transfer Learning Framework. | IEEE Intell. Syst. | 2020 | Link |
| A Sustainable Incentive Scheme for Federated Learning. | IEEE Intell. Syst. | 2020 | Link |
| FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare. | IEEE Intell. Syst. | 2020 | Link |
| Federated Generative Privacy. | IEEE Intell. Syst. | 2020 | Link |
| Introduction to the Special Issue on Federated Machine Learning. | IEEE Intell. Syst. | 2020 | Link |
| Joint Intelligence Ranking by Federated Multiplicative Update. | IEEE Intell. Syst. | 2020 | Link |
| Preserving User Privacy for Machine Learning: Local Differential Privacy or Federated Machine Learning? | IEEE Intell. Syst. | 2020 | Link |
| Proxy Experience Replay: Federated Distillation for Distributed Reinforcement Learning. | IEEE Intell. Syst. | 2020 | Link |
| SMSS: Secure Member Selection Strategy in Federated Learning. | IEEE Intell. Syst. | 2020 | Link |
2009
| Title | Venue | Year | Link |
|---|---|---|---|
| MatSeek: An Ontology-Based Federated Search Interface for Materials Scientists. | IEEE Intell. Syst. | 2009 | Link |
IEEE ACM Trans. Audio Speech Lang. Process.
Expand IEEE ACM Trans. Audio Speech Lang. Process.
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| Adapter-Based Selective Knowledge Distillation for Federated Multi-Domain Meeting Summarization. | IEEE ACM Trans. Audio Speech Lang. Process. | 2024 | Link |
Trans. Assoc. Comput. Linguistics
Expand Trans. Assoc. Comput. Linguistics
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| Federated Learning for Exploiting Annotators' Disagreements in Natural Language Processing. | Trans. Assoc. Comput. Linguistics | 2024 | Link |
Neural Networks
Expand Neural Networks
2026
| Title | Venue | Year | Link |
|---|---|---|---|
| Auction-guided model diffusion for communication-efficient federated learning on non-IID data. | Neural Networks | 2026 | Link |
| FedHyperGraph: A layer-wise personalized federated learning with correlation graphs in hyperbolic space. | Neural Networks | 2026 | Link |
| FedPCL-CDR: A federated prototype-based contrastive learning framework for privacy-preserving cross-domain recommendation. | Neural Networks | 2026 | Link |
| Federated graph-level clustering network with adaptive knowledge compensation. | Neural Networks | 2026 | Link |
| Fine-tuning large language models in federated learning with fairness-aware prompt selection. | Neural Networks | 2026 | Link |
| Heterogeneity-aware high-efficiency federated learning with hybrid synchronous-asynchronous splitting strategy. | Neural Networks | 2026 | Link |
| Knowledge-distillation based personalized federated learning with distribution constraints. | Neural Networks | 2026 | Link |
| Learning from history for personalized federated learning. | Neural Networks | 2026 | Link |
| Multi-site brain disease identification based on tensor decomposition and personalized federated learning. | Neural Networks | 2026 | Link |
| Privacy-preserving personalized federated prompt learning for vision-language models. | Neural Networks | 2026 | Link |
| Proactive and privacy-Preserving defense for DNS over HTTPS via federated AI attestation (PAFA-DoH). | Neural Networks | 2026 | Link |
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| A federated vehicle re-identification benchmark and performance optimization using dual-phase contrastive dynamic aggregation. | Neural Networks | 2025 | Link |
| Boosting semi-supervised federated learning by effectively exploiting server-side knowledge and client-side unconfident samples. | Neural Networks | 2025 | Link |
| DFedGFM: Pursuing global consistency for Decentralized Federated Learning via global flatness and global momentum. | Neural Networks | 2025 | Link |
| Family-based continual learning for multi-domain pattern analysis in federated frameworks with GCN and ViT. | Neural Networks | 2025 | Link |
| FedADMM-InSa: An inexact and self-adaptive ADMM for federated learning. | Neural Networks | 2025 | Link |
| FedART: A neural model integrating federated learning and adaptive resonance theory. | Neural Networks | 2025 | Link |
| FedELR: When federated learning meets learning with noisy labels. | Neural Networks | 2025 | Link |
| FedMEKT: Distillation-based embedding knowledge transfer for multimodal federated learning. | Neural Networks | 2025 | Link |
| FedPD: Defending federated prototype learning against backdoor attacks. | Neural Networks | 2025 | Link |
| FedPPD: Towards effective subgraph federated learning via pseudo prototype distillation. | Neural Networks | 2025 | Link |
| Federated learning meets Bayesian neural network: Robust and uncertainty-aware distributed variational inference. | Neural Networks | 2025 | Link |
| Federated learning via multi-attention guided UNet for thyroid nodule segmentation of ultrasound images. | Neural Networks | 2025 | Link |
| Federated learning with bilateral defense via blockchain. | Neural Networks | 2025 | Link |
| Federated learning with randomized alternating direction method of multipliers and application in training neural networks. | Neural Networks | 2025 | Link |
| KGFedRS: Knowledge Graph enhanced Federated Recommender System. | Neural Networks | 2025 | Link |
| Learn the global prompt in the low-rank tensor space for heterogeneous federated learning. | Neural Networks | 2025 | Link |
| Linkage on security, privacy and fairness in federated learning: New balances and new perspectives. | Neural Networks | 2025 | Link |
| MemberShield: A framework for federated learning with membership privacy. | Neural Networks | 2025 | Link |
| Out-of-Distribution Detection via outlier exposure in federated learning. | Neural Networks | 2025 | Link |
| Quantum federated learning with pole-angle quantum local training and trainable measurement. | Neural Networks | 2025 | Link |
| Replica tree-based federated learning using limited data. | Neural Networks | 2025 | Link |
| Self-attention fusion and adaptive continual updating for multimodal federated learning with heterogeneous data. | Neural Networks | 2025 | Link |
| StoCFL: A stochastically clustered federated learning framework for Non-IID data with dynamic client participation. | Neural Networks | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| Addressing unreliable local models in federated learning through unlearning. | Neural Networks | 2024 | Link |
| Aggregating intrinsic information to enhance BCI performance through federated learning. | Neural Networks | 2024 | Link |
| BI-FedGNN: Federated graph neural networks framework based on Bayesian inference. | Neural Networks | 2024 | Link |
| Data-free knowledge distillation via generator-free data generation for Non-IID federated learning. | Neural Networks | 2024 | Link |
| Federated learning using model projection for multi-center disease diagnosis with non-IID data. | Neural Networks | 2024 | Link |
| LFighter: Defending against the label-flipping attack in federated learning. | Neural Networks | 2024 | Link |
| OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning. | Neural Networks | 2024 | Link |
| Preserving specificity in federated graph learning for fMRI-based neurological disorder identification. | Neural Networks | 2024 | Link |
| Subgraph-level federated graph neural network for privacy-preserving recommendation with meta-learning. | Neural Networks | 2024 | Link |
| Towards consensual representation: Model-agnostic knowledge extraction for dual heterogeneous federated fault diagnosis. | Neural Networks | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| Communication-efficient federated learning with stagewise training strategy. | Neural Networks | 2023 | Link |
| Contrastive encoder pre-training-based clustered federated learning for heterogeneous data. | Neural Networks | 2023 | Link |
| Divide-and-conquer the NAS puzzle in resource-constrained federated learning systems. | Neural Networks | 2023 | Link |
| Exploring personalization via federated representation Learning on non-IID data. | Neural Networks | 2023 | Link |
| One-shot Federated Learning without server-side training. | Neural Networks | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| A hybridization of distributed policy and heuristic augmentation for improving federated learning approach. | Neural Networks | 2022 | Link |
| Federated learning with workload-aware client scheduling in heterogeneous systems. | Neural Networks | 2022 | Link |
Neurocomputing
Expand Neurocomputing
2026
| Title | Venue | Year | Link |
|---|---|---|---|
| Adaptive momentum enhanced second-order stochastic federated learning. | Neurocomputing | 2026 | Link |
| An enhanced low-rank fine-tuning framework for federated large language models. | Neurocomputing | 2026 | Link |
| An enhanced method for hierarchical federated learning based on privacy metric and adaptive differential privacy. | Neurocomputing | 2026 | Link |
| Backdoor defense framework with sparse training and detection in federated learning. | Neurocomputing | 2026 | Link |
| DPSHE: A privacy-preserving federated learning scheme based on homomorphic encryption and differential privacy for medical image. | Neurocomputing | 2026 | Link |
| Feature-driven layer specialization for label heterogeneous federated learning. | Neurocomputing | 2026 | Link |
| Federated intent-aware cross-domain recommendation via semantic alignment and collaborative enhancement. | Neurocomputing | 2026 | Link |
| PriFLRC: A secure multi-party computation-based privacy-enhanced federated learning scheme resilient to collusion. | Neurocomputing | 2026 | Link |
| Secure federated learning based on multi-round critical parameters. | Neurocomputing | 2026 | Link |
| Towards one-shot federated learning: Advances, challenges, and future directions. | Neurocomputing | 2026 | Link |
| Vulnerabilities of label and model protection in vertical federated learning based on simulation models. | Neurocomputing | 2026 | Link |
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| A defense mechanism against label inference attacks in Vertical Federated Learning. | Neurocomputing | 2025 | Link |
| A fast federated reinforcement learning approach with phased weight-adjustment technique. | Neurocomputing | 2025 | Link |
| A functional RNA-based and curvature-aware learning framework for federated optimization. | Neurocomputing | 2025 | Link |
| A prototype-guided federated learning based fault diagnosis method of mechanical transmission system under label distribution skew. | Neurocomputing | 2025 | Link |
| ALPPA: An accuracy-lossless and privacy-preserving aggregation strategy for federated knowledge graph completion model. | Neurocomputing | 2025 | Link |
| Advancing DoA assessment through federated learning: A one-shot pseudo data approach. | Neurocomputing | 2025 | Link |
| Analysis of regularized federated learning. | Neurocomputing | 2025 | Link |
| DRIFT: DCT-based robust and intelligent federated learning with trusted privacy. | Neurocomputing | 2025 | Link |
| Domain-wise knowledge decoupling for personalized federated learning via Radon transform. | Neurocomputing | 2025 | Link |
| Dual-domain based backdoor attack against federated learning. | Neurocomputing | 2025 | Link |
| EXtreme gradient boosting Mix-Fit-Standalone: A high-performance gradient boosting tree framework for Vertical federated learning. | Neurocomputing | 2025 | Link |
| Enhancing cooperative multi-agent reinforcement learning through the integration of R-STDP and federated learning. | Neurocomputing | 2025 | Link |
| Enhancing federated learning-based social recommendations with graph attention networks. | Neurocomputing | 2025 | Link |
| Enhancing long-term memory in federated class continual learning with lightweight adapters. | Neurocomputing | 2025 | Link |
| FFSL-Aux: An accurate and efficient framework for hybrid federated few-shot learning. | Neurocomputing | 2025 | Link |
| FeaUn: Feature unlearning in vertical federated learning for IIoT against feature inference attacks. | Neurocomputing | 2025 | Link |
| FedATA: Adaptive attention aggregation for federated self-supervised medical image segmentation. | Neurocomputing | 2025 | Link |
| FedLDR: Federated optimization with label distribution-aware representations. | Neurocomputing | 2025 | Link |
| Federated continual learning: Concepts, challenges, and solutions. | Neurocomputing | 2025 | Link |
| Federated dynamic graph neural network for cross-modal organizational real-time community detection. | Neurocomputing | 2025 | Link |
| Federated graph neural networks in non-IID scenarios - A comprehensive survey. | Neurocomputing | 2025 | Link |
| Federated learning data protection scheme based on personalized differential privacy in psychological evaluation. | Neurocomputing | 2025 | Link |
| Federated training of GNNs with similarity graph reasoning for text-image retrieval. | Neurocomputing | 2025 | Link |
| From continuous pre-training to alignment: A comprehensive toolkit for large language models in federated learning. | Neurocomputing | 2025 | Link |
| Heterogeneous federated semantic segmentation. | Neurocomputing | 2025 | Link |
| LVSA: Lightweight and verifiable secure aggregation for federated learning. | Neurocomputing | 2025 | Link |
| Lightweight verifiable federated learning based on matrix theory. | Neurocomputing | 2025 | Link |
| Multi-Layer federated learning for bit-width and data heterogeneity in cloud-edge systems. | Neurocomputing | 2025 | Link |
| Multi-level aggregation based federated few-shot learning. | Neurocomputing | 2025 | Link |
| Multi-level analyzation of imbalance to resolve non-IID-ness in federated learning. | Neurocomputing | 2025 | Link |
| Per-FedAHM: Adaptive historical memory-driven personalized federated learning. | Neurocomputing | 2025 | Link |
| Privacy-preserving and Byzantine-robust federated broad learning with chain-loop structure. | Neurocomputing | 2025 | Link |
| RFCSC: Communication efficient reinforcement federated learning with dynamic client selection and adaptive gradient compression. | Neurocomputing | 2025 | Link |
| Research on efficient data processing method for fog computing based on blockchain and federated learning. | Neurocomputing | 2025 | Link |
| Single-client GAN-based backdoor attacks for Asynchronous Federated Learning. | Neurocomputing | 2025 | Link |
| Stateless distributed Stein variational gradient descent method for Bayesian federated learning. | Neurocomputing | 2025 | Link |
| TEG-DI: Dynamic incentive model for Federated Learning based on Tripartite Evolutionary Game. | Neurocomputing | 2025 | Link |
| UA-PDFL: A personalized approach for decentralized federated learning. | Neurocomputing | 2025 | Link |
| Unifying domain gap in Federated Learning: A geometric approach. | Neurocomputing | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| A federated learning incentive mechanism in a non-monopoly market. | Neurocomputing | 2024 | Link |
| A review of privacy-preserving research on federated graph neural networks. | Neurocomputing | 2024 | Link |
| A survey on vulnerability of federated learning: A learning algorithm perspective. | Neurocomputing | 2024 | Link |
| BEV feature exchange pyramid networks-based 3D object detection in small and distant situations: A decentralized federated learning framework. | Neurocomputing | 2024 | Link |
| FedAVE: Adaptive data value evaluation framework for collaborative fairness in federated learning. | Neurocomputing | 2024 | Link |
| FedBoosting: Federated learning with gradient protected boosting for text recognition. | Neurocomputing | 2024 | Link |
| Federated deep long-tailed learning: A survey. | Neurocomputing | 2024 | Link |
| Improved gradient leakage attack against compressed gradients in federated learning. | Neurocomputing | 2024 | Link |
| Personalized and privacy-enhanced federated learning framework via knowledge distillation. | Neurocomputing | 2024 | Link |
| Preventing harm to the rare in combating the malicious: A filtering-and-voting framework with adaptive aggregation in federated learning. | Neurocomputing | 2024 | Link |
| RRA-FFSCIL: Inter-intra classes representation and relationship augmentation federated few-shot incremental learning. | Neurocomputing | 2024 | Link |
| Recent advances on federated learning: A systematic survey. | Neurocomputing | 2024 | Link |
| Trustworthy Artificial Intelligence -based federated architecture for symptomatic disease detection. | Neurocomputing | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| A review of secure federated learning: Privacy leakage threats, protection technologies, challenges and future directions. | Neurocomputing | 2023 | Link |
| Continual adaptation of federated reservoirs in pervasive environments. | Neurocomputing | 2023 | Link |
| Efficient asynchronous federated neuromorphic learning of spiking neural networks. | Neurocomputing | 2023 | Link |
| FedBrain: A robust multi-site brain network analysis framework based on federated learning for brain disease diagnosis. | Neurocomputing | 2023 | Link |
| FedInf: Social influence prediction with federated learning. | Neurocomputing | 2023 | Link |
| FedMCSA: Personalized federated learning via model components self-attention. | Neurocomputing | 2023 | Link |
| FedMed-GAN: Federated domain translation on unsupervised cross-modality brain image synthesis. | Neurocomputing | 2023 | Link |
| Federated learning by employing knowledge distillation on edge devices with limited hardware resources. | Neurocomputing | 2023 | Link |
| Multi-player evolutionary game of federated learning incentive mechanism based on system dynamics. | Neurocomputing | 2023 | Link |
| Partial model averaging in Federated Learning: Performance guarantees and benefits. | Neurocomputing | 2023 | Link |
| Study of the performance and scalability of federated learning for medical imaging with intermittent clients. | Neurocomputing | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| A two-phase half-async method for heterogeneity-aware federated learning. | Neurocomputing | 2022 | Link |
| A unified framework for multi-modal federated learning. | Neurocomputing | 2022 | Link |
| FedSim: Similarity guided model aggregation for Federated Learning. | Neurocomputing | 2022 | Link |
| Federated synthetic data generation with differential privacy. | Neurocomputing | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| Distributed additive encryption and quantization for privacy preserving federated deep learning. | Neurocomputing | 2021 | Link |
| Federated learning on non-IID data: A survey. | Neurocomputing | 2021 | Link |
2017
| Title | Venue | Year | Link |
|---|---|---|---|
| xStore: Federated temporal query processing for large scale RDF triples on a cloud environment. | Neurocomputing | 2017 | Link |
2001
| Title | Venue | Year | Link |
|---|---|---|---|
| Towards a federated neuroscientific knowledge management system using brain atlases. | Neurocomputing | 2001 | Link |
Neural Comput. Appl.
Expand Neural Comput. Appl.
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| Correction: Securing IIoT operations with recurrent federated network-based enhanced local search grasshopper. | Neural Comput. Appl. | 2025 | Link |
| Empowering privacy and resilience: a decentralized federated learning approach to cyberbullying detection. | Neural Comput. Appl. | 2025 | Link |
| Fairness-driven federated learning-based spam email detection using clustering techniques. | Neural Comput. Appl. | 2025 | Link |
| FedLRes: enhancing lung cancer detection using federated learning with convolution neural network (ResNet50). | Neural Comput. Appl. | 2025 | Link |
| Federated and transfer learning for cancer detection based on image analysis. | Neural Comput. Appl. | 2025 | Link |
| Federated learning-based robust android malware detection: label-flipping attacks and defenses. | Neural Comput. Appl. | 2025 | Link |
| Fortifying EV charging stations: AI-powered detection and mitigation of DDoS attacks using personalized Federated learning. | Neural Comput. Appl. | 2025 | Link |
| GPU-accelerated homomorphic encryption computing: empowering federated learning in IoV. | Neural Comput. Appl. | 2025 | Link |
| Optimizing federated learning efficiency: accelerating model averaging with cluster-based approach using class occurrences - fedCCO. | Neural Comput. Appl. | 2025 | Link |
| RedTops: real-time energy-aware dynamic task offloading via federated mountain gazelle optimisation in SDN-enhanced edge computing. | Neural Comput. Appl. | 2025 | Link |
| Weight-space noise for privacy-robustness trade-offs in federated learning. | Neural Comput. Appl. | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| A decision-making model for self-driving vehicles based on GPT-4V, federated reinforcement learning, and blockchain. | Neural Comput. Appl. | 2024 | Link |
| Blockfd: blockchain-based federated distillation against poisoning attacks. | Neural Comput. Appl. | 2024 | Link |
| Exploring the distributed learning on federated learning and cluster computing via convolutional neural networks. | Neural Comput. Appl. | 2024 | Link |
| FedSH: a federated learning framework for safety helmet wearing detection. | Neural Comput. Appl. | 2024 | Link |
| Federated learning model for credit card fraud detection with data balancing techniques. | Neural Comput. Appl. | 2024 | Link |
| IPSHO-Fed: a hybrid federated learning and spotted hyena optimization approach for trust assessment. | Neural Comput. Appl. | 2024 | Link |
| Incremental federated learning for traffic flow classification in heterogeneous data scenarios. | Neural Comput. Appl. | 2024 | Link |
| Leveraging deep learning-assisted attacks against image obfuscation via federated learning. | Neural Comput. Appl. | 2024 | Link |
| Performance evaluation of cluster-based federated machine learning. | Neural Comput. Appl. | 2024 | Link |
| Privacy-preserving hierarchical federated learning with biosignals to detect drowsiness while driving. | Neural Comput. Appl. | 2024 | Link |
| Securing IIoT operations with recurrent federated network-based enhanced local search grasshopper. | Neural Comput. Appl. | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| Dynamic traffic forecasting and fuzzy-based optimized admission control in federated 5G-open RAN networks. | Neural Comput. Appl. | 2023 | Link |
| Federated learning for interpretable short-term residential load forecasting in edge computing network. | Neural Comput. Appl. | 2023 | Link |
| Multi-level membership inference attacks in federated Learning based on active GAN. | Neural Comput. Appl. | 2023 | Link |
| Rough Fermatean fuzzy decision-based approach for modelling IDS classifiers in the federated learning of IoMT applications. | Neural Comput. Appl. | 2023 | Link |
| Secure sharing of industrial IoT data based on distributed trust management and trusted execution environments: a federated learning approach. | Neural Comput. Appl. | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| Federated meta-learning for spatial-temporal prediction. | Neural Comput. Appl. | 2022 | Link |
J. Artif. Intell. Res.
Expand J. Artif. Intell. Res.
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| A Unified Linear Speedup Analysis of Federated Averaging and Nesterov FedAvg. | J. Artif. Intell. Res. | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| SAMBA: A Generic Framework for Secure Federated Multi-Armed Bandits. | J. Artif. Intell. Res. | 2022 | Link |
arXiv
Expand arXiv
2026
| Title | Venue | Year | Link |
|---|---|---|---|
| $f$-FUM: Federated Unlearning via min--max and $f$-divergence | arXiv | 2026 | Link |
| A Critical Look into Threshold Homomorphic Encryption for Private Average Aggregation | arXiv | 2026 | Link |
| A Federated Generalized Expectation-Maximization Algorithm for Mixture Models with an Unknown Number of Components | arXiv | 2026 | Link |
| A Federated and Parameter-Efficient Framework for Large Language Model Training in Medicine | arXiv | 2026 | Link |
| A Governance Model for IoT Data in Global Manufacturing | arXiv | 2026 | Link |
| A Human-Centered Privacy Approach (HCP) to AI | arXiv | 2026 | Link |
| A Hybrid Federated Learning Based Ensemble Approach for Lung Disease Diagnosis Leveraging Fusion of SWIN Transformer and CNN | arXiv | 2026 | Link |
| A Mission Engineering Framework for Uncrewed Aerial Vehicle Design in GNSS-Denied Environments for Intelligence, Surveillance, and Reconnaissance Mission Sets | arXiv | 2026 | Link |
| A Unified Mathematical Framework for Distributed Data Fabrics: Categorical Hypergraph Models | arXiv | 2026 | Link |
| ADCA: Attention-Driven Multi-Party Collusion Attack in Federated Self-Supervised Learning | arXiv | 2026 | Link |
| AI-Assisted Engineering Should Track the Epistemic Status and Temporal Validity of Architectural Decisions | arXiv | 2026 | Link |
| AI-driven Intrusion Detection for UAV in Smart Urban Ecosystems: A Comprehensive Survey | arXiv | 2026 | Link |
| ASA: Adaptive Smart Agent Federated Learning via Device-Aware Clustering for Heterogeneous IoT | arXiv | 2026 | Link |
| ASRI: An Aggregated Systemic Risk Index for Cryptocurrency Markets | arXiv | 2026 | Link |
| Accelerated Methods with Complexity Separation Under Data Similarity for Federated Learning Problems | arXiv | 2026 | Link |
| Achieving Linear Speedup for Composite Federated Learning | arXiv | 2026 | Link |
| AdFL: In-Browser Federated Learning for Online Advertisement | arXiv | 2026 | Link |
| Adaptive Dual-Weighting Framework for Federated Learning via Out-of-Distribution Detection | arXiv | 2026 | Link |
| Adaptive Meta-Aggregation Federated Learning for Intrusion Detection in Heterogeneous Internet of Things | arXiv | 2026 | Link |
| Advanced computing for reproducibility of astronomy Big Data Science, with a showcase of AMIGA and the SKA Science prototype | arXiv | 2026 | Link |
| Age-Aware Edge-Blind Federated Learning via Over-the-Air Aggregation | arXiv | 2026 | Link |
| Agent Identity URI Scheme: Topology-Independent Naming and Capability-Based Discovery for Multi-Agent Systems | arXiv | 2026 | Link |
| Algorithmic Governance in the United States: A Multi-Level Case Analysis of AI Deployment Across Federal, State, and Municipal Authorities | arXiv | 2026 | Link |
| An Adaptive Differentially Private Federated Learning Framework with Bi-level Optimization | arXiv | 2026 | Link |
| Applying Public Health Systematic Approaches to Cybersecurity: The Economics of Collective Defense | arXiv | 2026 | Link |
| Architecting Trust: A Framework for Secure IoT Systems Through Trusted Execution and Semantic Middleware | arXiv | 2026 | Link |
| AsynDBT: Asynchronous Distributed Bilevel Tuning for efficient In-Context Learning with Large Language Models | arXiv | 2026 | Link |
| Asynchronous Secure Federated Learning with Byzantine aggregators | arXiv | 2026 | Link |
| Autonomous AI Agents for Real-Time Affordable Housing Site Selection: Multi-Objective Reinforcement Learning Under Regulatory Constraints | arXiv | 2026 | Link |
| Backdoor Attacks on Contrastive Continual Learning for IoT Systems | arXiv | 2026 | Link |
| Backdoor Attacks on Multi-modal Contrastive Learning | arXiv | 2026 | Link |
| BayPrAnoMeta: Bayesian Proto-MAML for Few-Shot Industrial Image Anomaly Detection | arXiv | 2026 | Link |
| Beyond Context Sharing: A Unified Agent Communication Protocol (ACP) for Secure, Federated, and Autonomous Agent-to-Agent (A2A) Orchestration | arXiv | 2026 | Link |
| Beyond Fixed Rounds: Data-Free Early Stopping for Practical Federated Learning | arXiv | 2026 | Link |
| Beyond performance-wise Contribution Evaluation in Federated Learning | arXiv | 2026 | Link |
| BiCoLoR: Communication-Efficient Optimization with Bidirectional Compression and Local Training | arXiv | 2026 | Link |
| Bikelution: Federated Gradient-Boosting for Scalable Shared Micro-Mobility Demand Forecasting | arXiv | 2026 | Link |
| BlackCATT: Black-box Collusion Aware Traitor Tracing in Federated Learning | arXiv | 2026 | Link |
| BlindU: Blind Machine Unlearning without Revealing Erasing Data | arXiv | 2026 | Link |
| Blockchain Federated Learning for Sustainable Retail: Reducing Waste through Collaborative Demand Forecasting | arXiv | 2026 | Link |
| BlocksecRT-DETR: Decentralized Privacy-Preserving and Token-Efficient Federated Transformer Learning for Secure Real-Time Object Detection in ITS | arXiv | 2026 | Link |
| BoostFGL: Boosting Fairness in Federated Graph Learning | arXiv | 2026 | Link |
| BouquetFL: Emulating diverse participant hardware in Federated Learning | arXiv | 2026 | Link |
| Breaking Data Efficiency Dilemma: A Federated and Augmented Learning Framework For Alzheimer's Disease Detection via Speech | arXiv | 2026 | Link |
| Breaking the Barriers of Database-Agnostic Transactions | arXiv | 2026 | Link |
| Bringing Computation to the data: Interoperable serverless function execution for astrophysical data analysis in the SRCNet | arXiv | 2026 | Link |
| Byzantine Machine Learning: MultiKrum and an optimal notion of robustness | arXiv | 2026 | Link |
| CAFEDistill: Learning Personalized and Dynamic Models through Federated Early-Exit Network Distillation | arXiv | 2026 | Link |
| CF-HFC:Calibrated Federated based Hardware-aware Fuzzy Clustering for Intrusion Detection in Heterogeneous IoTs | arXiv | 2026 | Link |
| CQSA: Byzantine-robust Clustered Quantum Secure Aggregation in Federated Learning | arXiv | 2026 | Link |
| Can Optimal Transport Improve Federated Inverse Reinforcement Learning? | arXiv | 2026 | Link |
| Catastrophic Forgetting Resilient One-Shot Incremental Federated Learning | arXiv | 2026 | Link |
| Causal and Federated Multimodal Learning for Cardiovascular Risk Prediction under Heterogeneous Populations | arXiv | 2026 | Link |
| Certified Unlearning in Decentralized Federated Learning | arXiv | 2026 | Link |
| Clustering-Based User Selection in Federated Learning: Metadata Exploitation for 3GPP Networks | arXiv | 2026 | Link |
| CoCo-Fed: A Unified Framework for Memory- and Communication-Efficient Federated Learning at the Wireless Edge | arXiv | 2026 | Link |
| CoRe-Fed: Bridging Collaborative and Representation Fairness via Federated Embedding Distillation | arXiv | 2026 | Link |
| Coding-Enforced Resilient and Secure Aggregation for Hierarchical Federated Learning | arXiv | 2026 | Link |
| Collaborative Threshold Watermarking | arXiv | 2026 | Link |
| Collaborative Zone-Adaptive Zero-Day Intrusion Detection for IoBT | arXiv | 2026 | Link |
| Communication-Efficient Federated AUC Maximization with Cyclic Client Participation | arXiv | 2026 | Link |
| Communication-Efficient Federated Learning by Exploiting Spatio-Temporal Correlations of Gradients | arXiv | 2026 | Link |
| Communication-Efficient Federated Risk Difference Estimation for Time-to-Event Clinical Outcomes | arXiv | 2026 | Link |
| Communication-Efficient Personalized Adaptation via Federated-Local Model Merging | arXiv | 2026 | Link |
| Communication-Efficient and Privacy-Adaptable Mechanism -- a Federated Learning Scheme with Convergence Analysis | arXiv | 2026 | Link |
| Communication-efficient Federated Graph Classification via Generative Diffusion Modeling | arXiv | 2026 | Link |
| Compliance Management for Federated Data Processing | arXiv | 2026 | Link |
| Concentration Inequalities for Exchangeable Tensors and Matrix-valued Data | arXiv | 2026 | Link |
| Conflict-Aware Client Selection for Multi-Server Federated Learning | arXiv | 2026 | Link |
| Conformalized Neural Networks for Federated Uncertainty Quantification under Dual Heterogeneity | arXiv | 2026 | Link |
| Constraint Satisfaction Problems over Finitely Bounded Homogeneous Structures: a Dichotomy between FO and L-hard | arXiv | 2026 | Link |
| Contrastive Continual Learning for Model Adaptability in Internet of Things | arXiv | 2026 | Link |
| Convergence Analysis of Two-Layer Neural Networks under Gaussian Input Masking | arXiv | 2026 | Link |
| Convergence Rate of the Last Iterate of Stochastic Proximal Algorithms | arXiv | 2026 | Link |
| CooperLLM: Cloud-Edge-End Cooperative Federated Fine-tuning for LLMs via ZOO-based Gradient Correction | arXiv | 2026 | Link |
| Critical Shortfall in NIH Support for Medical Physics Research | arXiv | 2026 | Link |
| Cumulative Utility Parity for Fair Federated Learning under Intermittent Client Participation | arXiv | 2026 | Link |
| DANCE: Dynamic, Available, Neighbor-gated Condensation for Federated Text-Attributed Graphs | arXiv | 2026 | Link |
| DCInject: Persistent Backdoor Attacks via Frequency Manipulation in Personal Federated Learning | arXiv | 2026 | Link |
| DP-FEDSOFIM: Differentially Private Federated Stochastic Optimization using Regularized Fisher Information Matrix | arXiv | 2026 | Link |
| DP-FedAdamW: An Efficient Optimizer for Differentially Private Federated Large Models | arXiv | 2026 | Link |
| DSFedMed: Dual-Scale Federated Medical Image Segmentation via Mutual Distillation Between Foundation and Lightweight Models | arXiv | 2026 | Link |
| DecHW: Heterogeneous Decentralized Federated Learning Exploiting Second-Order Information | arXiv | 2026 | Link |
| Decentralized Federated Learning With Energy Harvesting Devices | arXiv | 2026 | Link |
| Decentralized Online Convex Optimization with Unknown Feedback Delays | arXiv | 2026 | Link |
| Decentralized Optimization with Mixed Affine Constraints | arXiv | 2026 | Link |
| Decentralized Privacy-Preserving Federal Learning of Computer Vision Models on Edge Devices | arXiv | 2026 | Link |
| Deep Leakage with Generative Flow Matching Denoiser | arXiv | 2026 | Link |
| DeepFusion: Accelerating MoE Training via Federated Knowledge Distillation from Heterogeneous Edge Devices | arXiv | 2026 | Link |
| Deepfake Pornography is Resilient to Regulatory and Platform Shocks | arXiv | 2026 | Link |
| Density estimation from batched broken random samples | arXiv | 2026 | Link |
| Deontic Knowledge Graphs for Privacy Compliance in Multimodal Disaster Data Sharing | arXiv | 2026 | Link |
| Device Association and Resource Allocation for Hierarchical Split Federated Learning in Space-Air-Ground Integrated Network | arXiv | 2026 | Link |
| Digital Ecosystems: Enabling Collaboration in a Fragmented World | arXiv | 2026 | Link |
| Digital Twin-Driven Communication-Efficient Federated Anomaly Detection for Industrial IoT | arXiv | 2026 | Link |
| Dissecting Judicial Reasoning in U.S. Copyright Damage Awards | arXiv | 2026 | Link |
| Distributed Federated Learning by Alternating Periods of Training | arXiv | 2026 | Link |
| Distributed LLM Pretraining During Renewable Curtailment Windows: A Feasibility Study | arXiv | 2026 | Link |
| Distributed Perceptron under Bounded Staleness, Partial Participation, and Noisy Communication | arXiv | 2026 | Link |
| Divergence-Based Adaptive Aggregation for Byzantine Robust Federated Learning | arXiv | 2026 | Link |
| EMS-FL: Federated Tuning of Mixture-of-Experts in Satellite-Terrestrial Networks via Expert-Driven Model Splitting | arXiv | 2026 | Link |
| Edge Learning via Federated Split Decision Transformers for Metaverse Resource Allocation | arXiv | 2026 | Link |
| Edge-Native Generative De-identification: Inversion-Free Flow for Privacy-Preserving Federated Skin Image Analysis | arXiv | 2026 | Link |
| Efficient Personalized Federated PCA with Manifold Optimization for IoT Anomaly Detection | arXiv | 2026 | Link |
| Emerging Technologies and Methods in Wide-Area Search for Nuclear Materials | arXiv | 2026 | Link |
| Empowering Contrastive Federated Sequential Recommendation with LLMs | arXiv | 2026 | Link |
| Energy Efficient Federated Learning with Hyperdimensional Computing (HDC) | arXiv | 2026 | Link |
| Energy Efficient Federated Learning with Hyperdimensional Computing over Wireless Communication Networks | arXiv | 2026 | Link |
| Energy-Efficient Over-the-Air Federated Learning via Pinching Antenna Systems | arXiv | 2026 | Link |
| Evaluating Federated Learning for Cross-Country Mood Inference from Smartphone Sensing Data | arXiv | 2026 | Link |
| Exploiting Layer-Specific Vulnerabilities to Backdoor Attack in Federated Learning | arXiv | 2026 | Link |
| Exploiting Test-Time Augmentation in Federated Learning for Brain Tumor MRI Classification | arXiv | 2026 | Link |
| Exploring New Frontiers in Vertical Federated Learning: the Role of Saddle Point Reformulation | arXiv | 2026 | Link |
| FAROS: Robust Federated Learning with Adaptive Scaling against Backdoor Attacks | arXiv | 2026 | Link |
| FLoRG: Federated Fine-tuning with Low-rank Gram Matrices and Procrustes Alignment | arXiv | 2026 | Link |
| FORLER: Federated Offline Reinforcement Learning with Q-Ensemble and Actor Rectification | arXiv | 2026 | Link |
| FSL-BDP: Federated Survival Learning with Bayesian Differential Privacy for Credit Risk Modeling | arXiv | 2026 | Link |
| Faster Rates For Federated Variational Inequalities | arXiv | 2026 | Link |
| FeDecider: An LLM-Based Framework for Federated Cross-Domain Recommendation | arXiv | 2026 | Link |
| FeTTL: Federated Template and Task Learning for Multi-Institutional Medical Imaging | arXiv | 2026 | Link |
| Feature-Aware One-Shot Federated Learning via Hierarchical Token Sequences | arXiv | 2026 | Link |
| Feature-Indexed Federated Recommendation with Residual-Quantized Codebooks | arXiv | 2026 | Link |
| Fed-ComBat: A Generalized Federated Framework for Batch Effect Harmonization in Collaborative Studies | arXiv | 2026 | Link |
| FedAdaVR: Adaptive Variance Reduction for Robust Federated Learning under Limited Client Participation | arXiv | 2026 | Link |
| FedAvg-Based CTMC Hazard Model for Federated Bridge Deterioration Assessment | arXiv | 2026 | Link |
| FedBGS: A Blockchain Approach to Segment Gossip Learning in Decentralized Systems | arXiv | 2026 | Link |
| FedBiCross: A Bi-Level Optimization Framework to Tackle Non-IID Challenges in Data-Free One-Shot Federated Learning on Medical Data | arXiv | 2026 | Link |
| FedCCA: Client-Centric Adaptation against Data Heterogeneity in Federated Learning on IoT Devices | arXiv | 2026 | Link |
| FedDis: A Causal Disentanglement Framework for Federated Traffic Prediction | arXiv | 2026 | Link |
| FedGRPO: Privately Optimizing Foundation Models with Group-Relative Rewards from Domain Client | arXiv | 2026 | Link |
| FedGraph-VASP: Privacy-Preserving Federated Graph Learning with Post-Quantum Security for Cross-Institutional Anti-Money Laundering | arXiv | 2026 | Link |
| FedHENet: A Frugal Federated Learning Framework for Heterogeneous Environments | arXiv | 2026 | Link |
| FedHypeVAE: Federated Learning with Hypernetwork Generated Conditional VAEs for Differentially Private Embedding Sharing | arXiv | 2026 | Link |
| FedKDX: Federated Learning with Negative Knowledge Distillation for Enhanced Healthcare AI Systems | arXiv | 2026 | Link |
| FedKRSO: Communication and Memory Efficient Federated Fine-Tuning of Large Language Models | arXiv | 2026 | Link |
| FedMOA: Federated GRPO for Personalized Reasoning LLMs under Heterogeneous Rewards | arXiv | 2026 | Link |
| FedMosaic: Federated Retrieval-Augmented Generation via Parametric Adapters | arXiv | 2026 | Link |
| FedPS: Federated data Preprocessing via aggregated Statistics | arXiv | 2026 | Link |
| FedPSA: Modeling Behavioral Staleness in Asynchronous Federated Learning | arXiv | 2026 | Link |
| FedRD: Reducing Divergences for Generalized Federated Learning via Heterogeneity-aware Parameter Guidance | arXiv | 2026 | Link |
| FedRandom: Sampling Consistent and Accurate Contribution Values in Federated Learning | arXiv | 2026 | Link |
| FedSGM: A Unified Framework for Constraint Aware, Bidirectionally Compressed, Multi-Step Federated Optimization | arXiv | 2026 | Link |
| FedUMM: A General Framework for Federated Learning with Unified Multimodal Models | arXiv | 2026 | Link |
| FedVG: Gradient-Guided Aggregation for Enhanced Federated Learning | arXiv | 2026 | Link |
| FedZMG: Efficient Client-Side Optimization in Federated Learning | arXiv | 2026 | Link |
| Fedcompass: Federated Clustered and Periodic Aggregation Framework for Hybrid Classical-Quantum Models | arXiv | 2026 | Link |
| Federate the Router: Learning Language Model Routers with Sparse and Decentralized Evaluations | arXiv | 2026 | Link |
| Federated Balanced Learning | arXiv | 2026 | Link |
| Federated Causal Representation Learning in State-Space Systems for Decentralized Counterfactual Reasoning | arXiv | 2026 | Link |
| Federated Concept-Based Models: Interpretable models with distributed supervision | arXiv | 2026 | Link |
| Federated Continual Learning for Privacy-Preserving Hospital Imaging Classification | arXiv | 2026 | Link |
| Federated Customization of Large Models: Approaches, Experiments, and Insights | arXiv | 2026 | Link |
| Federated Ensemble Learning with Progressive Model Personalization | arXiv | 2026 | Link |
| Federated Gaussian Process Learning via Pseudo-Representations for Large-Scale Multi-Robot Systems | arXiv | 2026 | Link |
| Federated Graph AGI for Cross-Border Insider Threat Intelligence in Government Financial Schemes | arXiv | 2026 | Link |
| Federated Incremental Subgradient Method for Convex Bilevel Optimization Problems | arXiv | 2026 | Link |
| Federated Joint Learning for Domain and Class Generalization | arXiv | 2026 | Link |
| Federated Latent Space Alignment for Multi-user Semantic Communications | arXiv | 2026 | Link |
| Federated Learning Meets Random Access: Energy-Efficient Uplink Resource Allocation | arXiv | 2026 | Link |
| Federated Learning Playground | arXiv | 2026 | Link |
| Federated Learning Under Temporal Drift -- Mitigating Catastrophic Forgetting via Experience Replay | arXiv | 2026 | Link |
| Federated Learning and Class Imbalances | arXiv | 2026 | Link |
| Federated Learning at the Forefront of Fairness: A Multifaceted Perspective | arXiv | 2026 | Link |
| Federated Learning for Cross-Modality Medical Image Segmentation via Augmentation-Driven Generalization | arXiv | 2026 | Link |
| Federated Learning for the Design of Parametric Insurance Indices under Heterogeneous Renewable Production Losses | arXiv | 2026 | Link |
| Federated Learning of Nonlinear Temporal Dynamics with Graph Attention-based Cross-Client Interpretability | arXiv | 2026 | Link |
| Federated Learning with Profile Mapping under Distribution Shifts and Drifts | arXiv | 2026 | Link |
| Federated Learning-Assisted Optimization of Mobile Transmission with Digital Twins | arXiv | 2026 | Link |
| Federated Measurement of Demographic Disparities from Quantile Sketches | arXiv | 2026 | Link |
| Federated Prompt-Tuning with Heterogeneous and Incomplete Multimodal Client Data | arXiv | 2026 | Link |
| Federated Proximal Optimization for Privacy-Preserving Heart Disease Prediction: A Controlled Simulation Study on Non-IID Clinical Data | arXiv | 2026 | Link |
| Federated Reasoning Distillation Framework with Model Learnability-Aware Data Allocation | arXiv | 2026 | Link |
| Federated Transformer-GNN for Privacy-Preserving Brain Tumor Localization with Modality-Level Explainability | arXiv | 2026 | Link |
| Federated Unlearning in Edge Networks: A Survey of Fundamentals, Challenges, Practical Applications and Future Directions | arXiv | 2026 | Link |
| Federated Vision Transformer with Adaptive Focal Loss for Medical Image Classification | arXiv | 2026 | Link |
| Federated learning for unpaired multimodal data through a homogeneous transformer model | arXiv | 2026 | Link |
| Federated-inspired Single-cell Batch Integration in Latent Space | arXiv | 2026 | Link |
| First Provably Optimal Asynchronous SGD for Homogeneous and Heterogeneous Data | arXiv | 2026 | Link |
| Fisher-Informed Parameterwise Aggregation for Federated Learning with Heterogeneous Data | arXiv | 2026 | Link |
| Floe: Federated Specialization for Real-Time LLM-SLM Inference | arXiv | 2026 | Link |
| Forecasting Energy Availability in Local Energy Communities via LSTM Federated Learning | arXiv | 2026 | Link |
| Forget to Generalize: Iterative Adaptation for Generalization in Federated Learning | arXiv | 2026 | Link |
| Fractional Order Federated Learning for Battery Electric Vehicle Energy Consumption Modeling | arXiv | 2026 | Link |
| Fractional-Order Federated Learning | arXiv | 2026 | Link |
| From Inexact Gradients to Byzantine Robustness: Acceleration and Optimization under Similarity | arXiv | 2026 | Link |
| Future Mining: Learning for Safety and Security | arXiv | 2026 | Link |
| GFPL: Generative Federated Prototype Learning for Resource-Constrained and Data-Imbalanced Vision Task | arXiv | 2026 | Link |
| Generalizable Hyperparameter Optimization for Federated Learning on Non-IID Cancer Images | arXiv | 2026 | Link |
| Gradient Compression May Hurt Generalization: A Remedy by Synthetic Data Guided Sharpness Aware Minimization | arXiv | 2026 | Link |
| GraphDLG: Exploring Deep Leakage from Gradients in Federated Graph Learning | arXiv | 2026 | Link |
| HFedMoE: Resource-aware Heterogeneous Federated Learning with Mixture-of-Experts | arXiv | 2026 | Link |
| HPE: Hallucinated Positive Entanglement for Backdoor Attacks in Federated Self-Supervised Learning | arXiv | 2026 | Link |
| Handling Covariate Mismatch in Federated Linear Prediction | arXiv | 2026 | Link |
| Heterogeneity-Aware Client Selection Methodology For Efficient Federated Learning | arXiv | 2026 | Link |
| Heterogeneity-Aware Knowledge Sharing for Graph Federated Learning | arXiv | 2026 | Link |
| Heterogeneous Federated Fine-Tuning with Parallel One-Rank Adaptation | arXiv | 2026 | Link |
| Hierarchical Federated Learning with SignSGD: A Highly Communication-Efficient Approach | arXiv | 2026 | Link |
| High-Fidelity Network Management for Federated AI-as-a-Service: Cross-Domain Orchestration | arXiv | 2026 | Link |
| How to Stop Playing Whack-a-Mole: Mapping the Ecosystem of Technologies Facilitating AI-Generated Non-Consensual Intimate Images | arXiv | 2026 | Link |
| Hybrid Cloud Architectures for Research Computing: Applications and Use Cases | arXiv | 2026 | Link |
| Hybrid Federated Learning for Noise-Robust Training | arXiv | 2026 | Link |
| HybridFL: A Federated Learning Approach for Financial Crime Detection | arXiv | 2026 | Link |
| ICBAC: an Intelligent Contract-Based Access Control framework for supply chain management by integrating blockchain and federated learning | arXiv | 2026 | Link |
| Impact of domain adaptation in deep learning for medical image classifications | arXiv | 2026 | Link |
| Industrial Data-Service-Knowledge Governance: Toward Integrated and Trusted Intelligence for Industry 5.0 | arXiv | 2026 | Link |
| Information-Theoretic Secure Aggregation in Decentralized Networks | arXiv | 2026 | Link |
| Information-Theoretic Secure Aggregation over Regular Graphs | arXiv | 2026 | Link |
| Infusion of Blockchain to Establish Trustworthiness in AI Supported Software Evolution: A Systematic Literature Review | arXiv | 2026 | Link |
| Interoperable Architecture for Digital Identity Delegation for AI Agents with Blockchain Integration | arXiv | 2026 | Link |
| Is the Trigger Essential? A Feature-Based Triggerless Backdoor Attack in Vertical Federated Learning | arXiv | 2026 | Link |
| JSAM: Privacy Straggler-Resilient Joint Client Selection and Incentive Mechanism Design in Differentially Private Federated Learning | arXiv | 2026 | Link |
| Joint Optimization of Latency and Accuracy for Split Federated Learning in User-Centric Cell-Free MIMO Networks | arXiv | 2026 | Link |
| Journal Impact Factor and Federal Reserve Monetary Policy: An Econometric Analysis Based on 1975-2026 | arXiv | 2026 | Link |
| Knowledge-Aware Evolution for Streaming Federated Continual Learning with Category Overlap and without Task Identifiers | arXiv | 2026 | Link |
| LIFT: Byzantine Resilient Hub-Sampling | arXiv | 2026 | Link |
| Large Language Models for Large-Scale, Rigorous Qualitative Analysis in Applied Health Services Research | arXiv | 2026 | Link |
| Lean Clients, Full Accuracy: Hybrid Zeroth- and First-Order Split Federated Learning | arXiv | 2026 | Link |
| Learning Unknown Interdependencies for Decentralized Root Cause Analysis in Nonlinear Dynamical Systems | arXiv | 2026 | Link |
| Learning to Collaborate via Structures: Cluster-Guided Item Alignment for Federated Recommendation | arXiv | 2026 | Link |
| Lethe:Adapter-Augmented Dual-Stream Update for Persistent Knowledge Erasure in Federated Unlearning | arXiv | 2026 | Link |
| Lightweight Cluster-Based Federated Learning for Intrusion Detection in Heterogeneous IoT Networks | arXiv | 2026 | Link |
| Local Gradient Regulation Stabilizes Federated Learning under Client Heterogeneity | arXiv | 2026 | Link |
| Logic Programming on Knowledge Graph Networks And its Application in Medical Domain | arXiv | 2026 | Link |
| Low Rank Comes with Low Security: Gradient Assembly Poisoning Attacks against Distributed LoRA-based LLM Systems | arXiv | 2026 | Link |
| Low-Latency Federated Fine-Tuning for Large Language Models Over Wireless Networks | arXiv | 2026 | Link |
| MD-AirComp+: Adaptive Quantization for Blind Massive Digital Over-the-Air Computation | arXiv | 2026 | Link |
| MM-OpenFGL: A Comprehensive Benchmark for Multimodal Federated Graph Learning | arXiv | 2026 | Link |
| MORPHFED: Federated Learning for Cross-institutional Blood Morphology Analysis | arXiv | 2026 | Link |
| Making Tunable Parameters State-Dependent in Weather and Climate Models with Reinforcement Learning | arXiv | 2026 | Link |
| Mechanism Design for Federated Learning with Non-Monotonic Network Effects | arXiv | 2026 | Link |
| Med-MMFL: A Multimodal Federated Learning Benchmark in Healthcare | arXiv | 2026 | Link |
| Mixture of Predefined Experts: Maximizing Data Usage on Vertical Federated Learning | arXiv | 2026 | Link |
| Multi-Modal Style Transfer-based Prompt Tuning for Efficient Federated Domain Generalization | arXiv | 2026 | Link |
| Multimodal Learning for Arcing Detection in Pantograph-Catenary Systems | arXiv | 2026 | Link |
| Near-Optimal Private Linear Regression via Iterative Hessian Mixing | arXiv | 2026 | Link |
| On Electric Vehicle Energy Demand Forecasting and the Effect of Federated Learning | arXiv | 2026 | Link |
| On Resilient and Efficient Linear Secure Aggregation in Hierarchical Federated Learning | arXiv | 2026 | Link |
| On the Geometric Coherence of Global Aggregation in Federated GNN | arXiv | 2026 | Link |
| On the Sensitivity of Firing Rate-Based Federated Spiking Neural Networks to Differential Privacy | arXiv | 2026 | Link |
| One-Shot Federated Clustering of Non-Independent Completely Distributed Data | arXiv | 2026 | Link |
| One-Shot Federated Ridge Regression: Exact Recovery via Sufficient Statistic Aggregation | arXiv | 2026 | Link |
| One-Shot Hierarchical Federated Clustering | arXiv | 2026 | Link |
| One-Shot Price Forecasting with Covariate-Guided Experts under Privacy Constraints | arXiv | 2026 | Link |
| PID-Guided Partial Alignment for Multimodal Decentralized Federated Learning | arXiv | 2026 | Link |
| PRISM-FCP: Byzantine-Resilient Federated Conformal Prediction via Partial Sharing | arXiv | 2026 | Link |
| Patient Digital Twins for Chronic Care: Technical Hurdles, Lessons Learned, and the Road Ahead | arXiv | 2026 | Link |
| PenTiDef: Enhancing Privacy and Robustness in Decentralized Federated Intrusion Detection Systems against Poisoning Attacks | arXiv | 2026 | Link |
| Personalized Longitudinal Medical Report Generation via Temporally-Aware Federated Adaptation | arXiv | 2026 | Link |
| PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data Structures Across Nodes | arXiv | 2026 | Link |
| Predictor-Free and Hardware-Aware Federated Neural Architecture Search via Pareto-Guided Supernet Training | arXiv | 2026 | Link |
| Pretraining A Large Language Model using Distributed GPUs: A Memory-Efficient Decentralized Paradigm | arXiv | 2026 | Link |
| Preventing Rank Collapse in Federated Low-Rank Adaptation with Client Heterogeneity | arXiv | 2026 | Link |
| Principled Federated Random Forests for Heterogeneous Data | arXiv | 2026 | Link |
| Privacy at Scale in Networked Healthcare | arXiv | 2026 | Link |
| Privacy-Preserving Data Processing in Cloud : From Homomorphic Encryption to Federated Analytics | arXiv | 2026 | Link |
| ProToken: Token-Level Attribution for Federated Large Language Models | arXiv | 2026 | Link |
| Provable Acceleration of Distributed Optimization with Local Updates | arXiv | 2026 | Link |
| ProxyFL: A Proxy-Guided Framework for Federated Semi-Supervised Learning | arXiv | 2026 | Link |
| Push Down Optimization for Distributed Multi Cloud Data Integration | arXiv | 2026 | Link |
| QFed: Parameter-Compact Quantum-Classical Federated Learning | arXiv | 2026 | Link |
| Quantum Machine Learning for Complex Systems | arXiv | 2026 | Link |
| RIFLE: Robust Distillation-based FL for Deep Model Deployment on Resource-Constrained IoT Networks | arXiv | 2026 | Link |
| Rashomon Sets and Model Multiplicity in Federated Learning | arXiv | 2026 | Link |
| RefProtoFL: Communication-Efficient Federated Learning via External-Referenced Prototype Alignment | arXiv | 2026 | Link |
| Replacing Parameters with Preferences: Federated Alignment of Heterogeneous Vision-Language Models | arXiv | 2026 | Link |
| Resilient Federated Chain: Transforming Blockchain Consensus into an Active Defense Layer for Federated Learning | arXiv | 2026 | Link |
| Rethinking Federated Graph Foundation Models: A Graph-Language Alignment-based Approach | arXiv | 2026 | Link |
| Rethinking LoRA for Data Heterogeneous Federated Learning: Subspace and State Alignment | arXiv | 2026 | Link |
| Rethinking LoRA for Privacy-Preserving Federated Learning in Large Models | arXiv | 2026 | Link |
| Reverse Delegated Training and Private Inference via Perfectly-Secure Quantum Homomorphic Encryption | arXiv | 2026 | Link |
| Revisiting Backdoor Threat in Federated Instruction Tuning from a Signal Aggregation Perspective | arXiv | 2026 | Link |
| Robust Federated Learning for Malicious Clients using Loss Trend Deviation Detection | arXiv | 2026 | Link |
| Robust Processing and Learning: Principles, Methods, and Wireless Applications | arXiv | 2026 | Link |
| Roughness-Informed Federated Learning | arXiv | 2026 | Link |
| SA-PEF: Step-Ahead Partial Error Feedback for Efficient Federated Learning | arXiv | 2026 | Link |
| SCENE OTA-FD: Self-Centering Noncoherent Estimator for Over-the-Air Federated Distillation | arXiv | 2026 | Link |
| SDFLoRA: Selective Decoupled Federated LoRA for Privacy-preserving Fine-tuning with Heterogeneous Clients | arXiv | 2026 | Link |
| SDFed: Bridging Local Global Discrepancy via Subspace Refinement and Divergence Control in Federated Prompt Learning | arXiv | 2026 | Link |
| Safe-FedLLM: Delving into the Safety of Federated Large Language Models | arXiv | 2026 | Link |
| Safeguarding Privacy: Privacy-Preserving Detection of Mind Wandering and Disengagement Using Federated Learning in Online Education | arXiv | 2026 | Link |
| Sample Complexity of Average-Reward Q-Learning: From Single-agent to Federated Reinforcement Learning | arXiv | 2026 | Link |
| Secure, Verifiable, and Scalable Multi-Client Data Sharing via Consensus-Based Privacy-Preserving Data Distribution | arXiv | 2026 | Link |
| SecureDyn-FL: A Robust Privacy-Preserving Federated Learning Framework for Intrusion Detection in IoT Networks | arXiv | 2026 | Link |
| Self-Evolving Multi-Agent Network for Industrial IoT Predictive Maintenance | arXiv | 2026 | Link |
| Semantic Communication in Underwater IoT Networks for Meaning-Driven Connectivity | arXiv | 2026 | Link |
| Semantic-Aware Task Clustering for Federated Cooperative Multi-Task Semantic Communication | arXiv | 2026 | Link |
| SettleFL: Trustless and Scalable Reward Settlement Protocol for Federated Learning on Permissionless Blockchains (Extended version) | arXiv | 2026 | Link |
| Sign-Dependent Spillovers of Global Monetary Policy | arXiv | 2026 | Link |
| Single-Round Clustered Federated Learning via Data Collaboration Analysis for Non-IID Data | arXiv | 2026 | Link |
| Smart Split-Federated Learning over Noisy Channels for Embryo Image Segmentation | arXiv | 2026 | Link |
| SplitCom: Communication-efficient Split Federated Fine-tuning of LLMs via Temporal Compression | arXiv | 2026 | Link |
| Sporadic Gradient Tracking over Directed Graphs: A Theoretical Perspective on Decentralized Federated Learning | arXiv | 2026 | Link |
| Stabilizing Decentralized Federated Fine-Tuning via Topology-Aware Alternating LoRA | arXiv | 2026 | Link |
| Standardized Methods and Recommendations for Green Federated Learning | arXiv | 2026 | Link |
| Submanifolds of class $C^{1,α}$ and sets with positive $μ$-reach | arXiv | 2026 | Link |
| SuperSFL: Resource-Heterogeneous Federated Split Learning with Weight-Sharing Super-Networks | arXiv | 2026 | Link |
| Tackling Heterogeneity in Quantum Federated Learning: An Integrated Sporadic-Personalized Approach | arXiv | 2026 | Link |
| Tackling Privacy Heterogeneity in Differentially Private Federated Learning | arXiv | 2026 | Link |
| Tackling Resource-Constrained and Data-Heterogeneity in Federated Learning with Double-Weight Sparse Pack | arXiv | 2026 | Link |
| Tail-Latency-Aware Federated Learning with Pinching Antenna: Latency, Participation, and Placement | arXiv | 2026 | Link |
| Taming Preconditioner Drift: Unlocking the Potential of Second-Order Optimizers for Federated Learning on Non-IID Data | arXiv | 2026 | Link |
| Tangents to Lipschitz and Sobolev images | arXiv | 2026 | Link |
| Task-Uniform Convergence and Backward Transfer in Federated Domain-Incremental Learning with Partial Participation | arXiv | 2026 | Link |
| Temperature Scaling Attack Disrupting Model Confidence in Federated Learning | arXiv | 2026 | Link |
| The Digital Gorilla: Rebalancing Power in the Age of AI | arXiv | 2026 | Link |
| The Gaussian-Head OFL Family: One-Shot Federated Learning from Client Global Statistics | arXiv | 2026 | Link |
| The Innovation Tax: Generative AI Adoption, Productivity Paradox, and Systemic Risk in the U.S. Banking Sector | arXiv | 2026 | Link |
| The Rise of Large Language Models and the Direction and Impact of US Federal Research Funding | arXiv | 2026 | Link |
| Time-to-Event Estimation with Unreliably Reported Events in Medicare Health Plan Payment | arXiv | 2026 | Link |
| TinyGuard:A lightweight Byzantine Defense for Resource-Constrained Federated Learning via Statistical Update Fingerprints | arXiv | 2026 | Link |
| Toward Enhancing Representation Learning in Federated Multi-Task Settings | arXiv | 2026 | Link |
| Toward Resource-Efficient Collaboration of Large AI Models in Mobile Edge Networks | arXiv | 2026 | Link |
| Toward Youth-Centered Privacy-by-Design in Smart Devices: A Systematic Review | arXiv | 2026 | Link |
| Toward a Sustainable Federated Learning Ecosystem: A Practical Least Core Mechanism for Payoff Allocation | arXiv | 2026 | Link |
| Towards Explainable Federated Learning: Understanding the Impact of Differential Privacy | arXiv | 2026 | Link |
| Towards Performance-Enhanced Model-Contrastive Federated Learning using Historical Information in Heterogeneous Scenarios | arXiv | 2026 | Link |
| Towards Scalable Federated Container Orchestration: The CODECO Approach | arXiv | 2026 | Link |
| Towards Secure and Interoperable Data Spaces for 6G: The 6G-DALI Approach | arXiv | 2026 | Link |
| Towards Secure and Scalable Energy Theft Detection: A Federated Learning Approach for Resource-Constrained Smart Meters | arXiv | 2026 | Link |
| Towards a Declarative Agentic Layer for Intelligent Agents in MCP-Based Server Ecosystems | arXiv | 2026 | Link |
| Translation invariant curvature measures of convex bodies | arXiv | 2026 | Link |
| Tri-LLM Cooperative Federated Zero-Shot Intrusion Detection with Semantic Disagreement and Trust-Aware Aggregation | arXiv | 2026 | Link |
| TriCloudEdge: A multi-layer Cloud Continuum | arXiv | 2026 | Link |
| Trust-Based Incentive Mechanisms in Semi-Decentralized Federated Learning Systems | arXiv | 2026 | Link |
| Trustworthy Blockchain-based Federated Learning for Electronic Health Records: Securing Participant Identity with Decentralized Identifiers and Verifiable Credentials | arXiv | 2026 | Link |
| Type-Based Unsourced Federated Learning With Client Self-Selection | arXiv | 2026 | Link |
| U-FedTomAtt: Ultra-lightweight Federated Learning with Attention for Tomato Disease Recognition | arXiv | 2026 | Link |
| Uncertainty in Federated Granger Causality: From Origins to Systemic Consequences | arXiv | 2026 | Link |
| UnlinkableDFL: a Practical Mixnet Protocol for Churn-Tolerant Decentralized FL Model Sharing | arXiv | 2026 | Link |
| VR-VFL: Joint Rate and Client Selection for Vehicular Federated Learning Under Imperfect CSI | arXiv | 2026 | Link |
| VertCoHiRF: Decentralized Vertical Clustering Beyond k-means | arXiv | 2026 | Link |
| Weighted Wasserstein Barycenter of Gaussian Processes for exotic Bayesian Optimization tasks | arXiv | 2026 | Link |
| When the Server Steps In: Calibrated Updates for Fair Federated Learning | arXiv | 2026 | Link |
| WinFLoRA: Incentivizing Client-Adaptive Aggregation in Federated LoRA under Privacy Heterogeneity | arXiv | 2026 | Link |
| Wireless Federated Multi-Task LLM Fine-Tuning via Sparse-and-Orthogonal LoRA | arXiv | 2026 | Link |
| ZK-HybridFL: Zero-Knowledge Proof-Enhanced Hybrid Ledger for Federated Learning | arXiv | 2026 | Link |
| dataRLsec: Safety, Security, and Reliability With Robust Offline Reinforcement Learning for DPAs | arXiv | 2026 | Link |
| interID -- An Ecosystem-agnostic Verifier-as-a-Service with OpenID Connect Bridge | arXiv | 2026 | Link |
| pFedNavi: Structure-Aware Personalized Federated Vision-Language Navigation for Embodied AI | arXiv | 2026 | Link |
2025
| Title | Venue | Year | Link |
|---|---|---|---|
| $L^{1}_{loc}$-convergence of Jacobians of Sobolev homeomorphisms via area formula | arXiv | 2025 | Link |
| $γ$-FedHT: Stepsize-Aware Hard-Threshold Gradient Compression in Federated Learning | arXiv | 2025 | Link |
| 'Teens Need to Be Educated on the Danger': Digital Access, Online Risks, and Safety Practices Among Nigerian Adolescents | arXiv | 2025 | Link |
| A Bayesian Incentive Mechanism for Poison-Resilient Federated Learning | arXiv | 2025 | Link |
| A Benchmark Dataset for Spatially Aligned Road Damage Assessment in Small Uncrewed Aerial Systems Disaster Imagery | arXiv | 2025 | Link |
| A Bridge to Nowhere: A Healthcare Case Study for Non-Reformist Design | arXiv | 2025 | Link |
| A Brief History of Digital Twin Technology | arXiv | 2025 | Link |
| A Cautionary Tale About "Neutrally" Informative AI Tools Ahead of the 2025 Federal Elections in Germany | arXiv | 2025 | Link |
| A Century of Evolution in the Complexity of the United States Legal Code | arXiv | 2025 | Link |
| A Clique Partitioning-Based Algorithm for Graph Compression | arXiv | 2025 | Link |
| A Closer Look at Personalized Fine-Tuning in Heterogeneous Federated Learning | arXiv | 2025 | Link |
| A Comparative Benchmark of Federated Learning Strategies for Mortality Prediction on Heterogeneous and Imbalanced Clinical Data | arXiv | 2025 | Link |
| A Comprehensive Data-centric Overview of Federated Graph Learning | arXiv | 2025 | Link |
| A Comprehensive Guide to the U.S. Civil Space Budget | arXiv | 2025 | Link |
| A Comprehensive Review of Techniques, Algorithms, Advancements, Challenges, and Clinical Applications of Multi-modal Medical Image Fusion for Improved Diagnosis | arXiv | 2025 | Link |
| A Comprehensive Review on Understanding the Decentralized and Collaborative Approach in Machine Learning | arXiv | 2025 | Link |
| A Comprehensive Survey on Architectural Advances in Deep CNNs: Challenges, Applications, and Emerging Research Directions | arXiv | 2025 | Link |
| A Comprehensive Survey on Smart Home IoT Fingerprinting: From Detection to Prevention and Practical Deployment | arXiv | 2025 | Link |
| A Comprehensive Survey on Underwater Acoustic Target Positioning and Tracking: Progress, Challenges, and Perspectives | arXiv | 2025 | Link |
| A Coopetitive-Compatible Data Generation Framework for Cross-silo Federated Learning | arXiv | 2025 | Link |
| A Crowdsensing Intrusion Detection Dataset For Decentralized Federated Learning Models | arXiv | 2025 | Link |
| A Digital Twinning Approach to Decarbonisation: Research Challenges | arXiv | 2025 | Link |
| A Distributed Generative AI Approach for Heterogeneous Multi-Domain Environments under Data Sharing constraints | arXiv | 2025 | Link |
| A Fair Federated Learning Framework for Collaborative Network Traffic Prediction and Resource Allocation | arXiv | 2025 | Link |
| A Fast and Flat Federated Learning Method via Weighted Momentum and Sharpness-Aware Minimization | arXiv | 2025 | Link |
| A Federated Deep Learning Framework for Cell-Free RSMA Networks | arXiv | 2025 | Link |
| A Federated Fine-Tuning Paradigm of Foundation Models in Heterogenous Wireless Networks | arXiv | 2025 | Link |
| A Federated Learning Framework for Handling Subtype Confounding and Heterogeneity in Large-Scale Neuroimaging Diagnosis | arXiv | 2025 | Link |
| A Federated Random Forest Solution for Secure Distributed Machine Learning | arXiv | 2025 | Link |
| A Framework for Double-Blind Federated Adaptation of Foundation Models | arXiv | 2025 | Link |
| A General CoVaR Based on Entropy Pooling | arXiv | 2025 | Link |
| A Generalized Hierarchical Federated Learning Framework with Theoretical Guarantees | arXiv | 2025 | Link |
| A Generalized Meta Federated Learning Framework with Theoretical Convergence Guarantees | arXiv | 2025 | Link |
| A Hybrid Swarm Intelligence Approach for Optimizing Multimodal Large Language Models Deployment in Edge-Cloud-based Federated Learning Environments | arXiv | 2025 | Link |
| A Knowledge Distillation-empowered Adaptive Federated Reinforcement Learning Framework for Multi-Domain IoT Applications Scheduling | arXiv | 2025 | Link |
| A Lightweight Federated Learning Approach for Privacy-Preserving Botnet Detection in IoT | arXiv | 2025 | Link |
| A Linearized Alternating Direction Multiplier Method for Federated Matrix Completion Problems | arXiv | 2025 | Link |
| A Model-Driven Engineering Approach to AI-Powered Healthcare Platforms | arXiv | 2025 | Link |
| A Multi-Cloud Framework for Zero-Trust Workload Authentication | arXiv | 2025 | Link |
| A Multi-Criteria Evaluation Framework for Siting Fusion Energy Facilities: Application and Evaluation of U.S. Coal Power Plants | arXiv | 2025 | Link |
| A Multi-Modal Federated Learning Framework for Remote Sensing Image Classification | arXiv | 2025 | Link |
| A New Perspective on Privacy Protection in Federated Learning with Granular-Ball Computing | arXiv | 2025 | Link |
| A New Targeted-Federated Learning Framework for Estimating Heterogeneity of Treatment Effects: A Robust Framework with Applications in Aging Cohorts | arXiv | 2025 | Link |
| A Non-Intrusive Framework for Deferred Integration of Cloud Patterns in Energy-Efficient Data-Sharing Pipelines | arXiv | 2025 | Link |
| A Note on Efficient Privacy-Preserving Similarity Search for Encrypted Vectors | arXiv | 2025 | Link |
| A Novel Algorithm for Personalized Federated Learning: Knowledge Distillation with Weighted Combination Loss | arXiv | 2025 | Link |
| A Novel Approach to Breast Cancer Segmentation using U-Net Model with Attention Mechanisms and FedProx | arXiv | 2025 | Link |
| A Novel Collaborative Framework for Efficient Synchronization in Split Federated Learning over Wireless Networks | arXiv | 2025 | Link |
| A Novel Pearson Correlation-Based Merging Algorithm for Robust Distributed Machine Learning with Heterogeneous Data | arXiv | 2025 | Link |
| A Post-Processing-Based Fair Federated Learning Framework | arXiv | 2025 | Link |
| A Prescriptive Framework for Determining Optimal Days for Short-Term Traffic Counts | arXiv | 2025 | Link |
| A Privacy-Centric Approach: Scalable and Secure Federated Learning Enabled by Hybrid Homomorphic Encryption | arXiv | 2025 | Link |
| A Privacy-Preserving Cloud Architecture for Distributed Machine Learning at Scale | arXiv | 2025 | Link |
| A Privacy-Preserving Domain Adversarial Federated learning for multi-site brain functional connectivity analysis | arXiv | 2025 | Link |
| A Privacy-Preserving Ecosystem for Developing Machine Learning Algorithms Using Patient Data: Insights from the TUM.ai Makeathon | arXiv | 2025 | Link |
| A Privacy-Preserving Federated Learning Framework for Generalizable CBCT to Synthetic CT Translation in Head and Neck | arXiv | 2025 | Link |
| A Privacy-Preserving Federated Learning Method with Homomorphic Encryption in Omics Data | arXiv | 2025 | Link |
| A Privacy-Preserving Indoor Localization System based on Hierarchical Federated Learning | arXiv | 2025 | Link |
| A Privacy-Preserving Information-Sharing Protocol for Federated Authentication | arXiv | 2025 | Link |
| A Randomized Zeroth-Order Hierarchical Framework for Heterogeneous Federated Learning | arXiv | 2025 | Link |
| A Real-Time System to Populate FRA Form 57 from News | arXiv | 2025 | Link |
| A Reliable Vertical Federated Learning Framework for Traffic State Estimation with Data Selection and Incentive Mechanisms | arXiv | 2025 | Link |
| A Renegotiable contract-theoretic incentive mechanism for Federated learning | arXiv | 2025 | Link |
| A Robust Clustered Federated Learning Approach for Non-IID Data with Quantity Skew | arXiv | 2025 | Link |
| A Robust Federated Learning Approach for Combating Attacks Against IoT Systems Under non-IID Challenges | arXiv | 2025 | Link |
| A Robust Pipeline for Differentially Private Federated Learning on Imbalanced Clinical Data using SMOTETomek and FedProx | arXiv | 2025 | Link |
| A Self-Healing and Fault-Tolerant Cloud-based Digital Twin Processing Management Model | arXiv | 2025 | Link |
| A Semantic Framework for Patient Digital Twins in Chronic Care | arXiv | 2025 | Link |
| A Semi-Supervised Federated Learning Framework with Hierarchical Clustering Aggregation for Heterogeneous Satellite Networks | arXiv | 2025 | Link |
| A Service-Oriented Adaptive Hierarchical Incentive Mechanism for Federated Learning | arXiv | 2025 | Link |
| A Sinusoidal Hull-White Model for Interest Rate Dynamics: Capturing Long-Term Periodicity in U.S. Treasury Yields | arXiv | 2025 | Link |
| A State Alignment-Centric Approach to Federated System Identification: The FedAlign Framework | arXiv | 2025 | Link |
| A Survey On Secure Machine Learning | arXiv | 2025 | Link |
| A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network | arXiv | 2025 | Link |
| A Survey of Model Extraction Attacks and Defenses in Distributed Computing Environments | arXiv | 2025 | Link |
| A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes | arXiv | 2025 | Link |
| A Survey on Cloud-Edge-Terminal Collaborative Intelligence in AIoT Networks | arXiv | 2025 | Link |
| A Survey on Federated Fine-tuning of Large Language Models | arXiv | 2025 | Link |
| A Survey on Federated Learning in Human Sensing | arXiv | 2025 | Link |
| A Survey on Parameter-Efficient Fine-Tuning for Foundation Models in Federated Learning | arXiv | 2025 | Link |
| A Survey on Wi-Fi Sensing Generalizability: Taxonomy, Techniques, Datasets, and Future Research Prospects | arXiv | 2025 | Link |
| A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications | arXiv | 2025 | Link |
| A Survey: Towards Privacy and Security in Mobile Large Language Models | arXiv | 2025 | Link |
| A Systematic Decade Review of Trip Route Planning with Travel Time Estimation based on User Preferences and Behavior | arXiv | 2025 | Link |
| A Systematic Evaluation of Preference Aggregation in Federated RLHF for Pluralistic Alignment of LLMs | arXiv | 2025 | Link |
| A Systematic Survey on Federated Sequential Recommendation | arXiv | 2025 | Link |
| A Technical Policy Blueprint for Trustworthy Decentralized AI | arXiv | 2025 | Link |
| A Theoretical Framework for Distribution-Aware Dataset Search | arXiv | 2025 | Link |
| A Thorough Assessment of the Non-IID Data Impact in Federated Learning | arXiv | 2025 | Link |
| A Two-Stage CAE-Based Federated Learning Framework for Efficient Jamming Detection in 5G Networks | arXiv | 2025 | Link |
| A Two-Timescale Approach for Wireless Federated Learning with Parameter Freezing and Power Control | arXiv | 2025 | Link |
| A Two-stage Optimization Method for Wide-range Single-electron Quantum Magnetic Sensing | arXiv | 2025 | Link |
| A Unified Analysis of Stochastic Gradient Descent with Arbitrary Data Permutations and Beyond | arXiv | 2025 | Link |
| A Unified Benchmark of Federated Learning with Kolmogorov-Arnold Networks for Medical Imaging | arXiv | 2025 | Link |
| A Unified Convergence Analysis for Semi-Decentralized Learning: Sampled-to-Sampled vs. Sampled-to-All Communication | arXiv | 2025 | Link |
| A User-Centric, Privacy-Preserving, and Verifiable Ecosystem for Personal Data Management and Utilization | arXiv | 2025 | Link |
| A Vision-Language Pre-training Model-Guided Approach for Mitigating Backdoor Attacks in Federated Learning | arXiv | 2025 | Link |
| A Weighted Loss Approach to Robust Federated Learning under Data Heterogeneity | arXiv | 2025 | Link |
| A calibration in $\mathbf R^{16}$ and Federer's product question | arXiv | 2025 | Link |
| A decentralized future for the open-science databases | arXiv | 2025 | Link |
| A federated Kaczmarz algorithm | arXiv | 2025 | Link |
| A generative model of function growth explains hidden self-similarities across biological and social systems | arXiv | 2025 | Link |
| A new framework for prognostics in decentralized industries: Enhancing fairness, security, and transparency through Blockchain and Federated Learning | arXiv | 2025 | Link |
| A new type of federated clustering: A non-model-sharing approach | arXiv | 2025 | Link |
| A sandbox study proposal for private and distributed health data analysis | arXiv | 2025 | Link |
| A study on performance limitations in Federated Learning | arXiv | 2025 | Link |
| A surprising threshold for the validity of the method of singular projection | arXiv | 2025 | Link |
| A survey on Clustered Federated Learning: Taxonomy, Analysis and Applications | arXiv | 2025 | Link |
| ADF-LoRA: Alternating Low-Rank Aggregation for Decentralized Federated Fine-Tuning | arXiv | 2025 | Link |
| AFBS:Buffer Gradient Selection in Semi-asynchronous Federated Learning | arXiv | 2025 | Link |
| AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data | arXiv | 2025 | Link |
| AFLoRA: Adaptive Federated Fine-Tuning of Large Language Models with Resource-Aware Low-Rank Adaption | arXiv | 2025 | Link |
| AFed: Algorithmic Fair Federated Learning | arXiv | 2025 | Link |
| AI Application in Anti-Money Laundering for Sustainable and Transparent Financial Systems | arXiv | 2025 | Link |
| AI Trust Reshaping Administrative Burdens: Understanding Trust-Burden Dynamics in LLM-Assisted Benefits Systems | arXiv | 2025 | Link |
| AI threats to national security can be countered through an incident regime | arXiv | 2025 | Link |
| AI-Based Crypto Tokens: The Illusion of Decentralized AI? | arXiv | 2025 | Link |
| AI-Based Software Vulnerability Detection: A Systematic Literature Review | arXiv | 2025 | Link |
| AI-Driven IRM: Transforming insider risk management with adaptive scoring and LLM-based threat detection | arXiv | 2025 | Link |
| AI-Native Integrated Sensing and Communications for Self-Organizing Wireless Networks: Architectures, Learning Paradigms, and System-Level Design | arXiv | 2025 | Link |
| AI-Powered Legal Intelligence System Architecture: A Comprehensive Framework for Automated Legal Consultation and Analysis | arXiv | 2025 | Link |
| AI-in-the-Loop: Privacy Preserving Real-Time Scam Detection and Conversational Scambaiting by Leveraging LLMs and Federated Learning | arXiv | 2025 | Link |
| AI4EOSC: a Federated Cloud Platform for Artificial Intelligence in Scientific Research | arXiv | 2025 | Link |
| AIDRIN 2.0: A Framework to Assess Data Readiness for AI | arXiv | 2025 | Link |
| AIGC-assisted Federated Learning for Edge Intelligence: Architecture Design, Research Challenges and Future Directions | arXiv | 2025 | Link |
| AIGC-assisted Federated Learning for Vehicular Edge Intelligence: Vehicle Selection, Resource Allocation and Model Augmentation | arXiv | 2025 | Link |
| AIORA: An AI-Native Multi-Stakeholder Orchestration Architecture for 6G Continuum | arXiv | 2025 | Link |
| ALIGN-FL: Architecture-independent Learning through Invariant Generative component sharing in Federated Learning | arXiv | 2025 | Link |
| AMSFL: Adaptive Multi-Step Federated Learning via Gradient Difference-Based Error Modeling | arXiv | 2025 | Link |
| APFL: Analytic Personalized Federated Learning via Dual-Stream Least Squares | arXiv | 2025 | Link |
| ASCHOPLEX encounters Dafne: a federated continuous learning project for the generalizability of the Choroid Plexus automatic segmentation | arXiv | 2025 | Link |
| ASMR: Angular Support for Malfunctioning Client Resilience in Federated Learning | arXiv | 2025 | Link |
| ATR-Bench: A Federated Learning Benchmark for Adaptation, Trust, and Reasoning | arXiv | 2025 | Link |
| AXI-REALM: Safe, Modular and Lightweight Traffic Monitoring and Regulation for Heterogeneous Mixed-Criticality Systems | arXiv | 2025 | Link |
| Accelerated Training of Federated Learning via Second-Order Methods | arXiv | 2025 | Link |
| Accelerating Privacy-Preserving Federated Learning in Large-Scale LEO Satellite Systems | arXiv | 2025 | Link |
| Accelerating Wireless Distributed Learning via Hybrid Split and Federated Learning Optimization | arXiv | 2025 | Link |
| Accelerating the discovery of high-performance nonlinear optical materials using active learning and high-throughput screening | arXiv | 2025 | Link |
| Accessibility Gaps in U.S. Government Dashboards for Blind and Low-Vision Residents | arXiv | 2025 | Link |
| Accessible Gesture-Driven Augmented Reality Interaction System | arXiv | 2025 | Link |
| Accuracy and Security-Guaranteed Participant Selection and Beamforming Design for RIS-Assisted Federated Learning | arXiv | 2025 | Link |
| Accuracy is Not Enough: Poisoning Interpretability in Federated Learning via Color Skew | arXiv | 2025 | Link |
| Accurate Forgetting for Heterogeneous Federated Continual Learning | arXiv | 2025 | Link |
| Accurate Target Privacy Preserving Federated Learning Balancing Fairness and Utility | arXiv | 2025 | Link |
| Accurate and Private Diagnosis of Rare Genetic Syndromes from Facial Images with Federated Deep Learning | arXiv | 2025 | Link |
| Achieving Distributive Justice in Federated Learning via Uncertainty Quantification | arXiv | 2025 | Link |
| Achieving Tighter Finite-Time Rates for Heterogeneous Federated Stochastic Approximation under Markovian Sampling | arXiv | 2025 | Link |
| AdRo-FL: Informed and Secure Client Selection for Federated Learning in the Presence of Adversarial Aggregator | arXiv | 2025 | Link |
| Adaptation of Foundation Models for Medical Image Analysis: Strategies, Challenges, and Future Directions | arXiv | 2025 | Link |
| Adapting to Fragmented and Evolving Data: A Fisher Information Perspective | arXiv | 2025 | Link |
| Adaptive Aggregation with Two Gains in QFL | arXiv | 2025 | Link |
| Adaptive Biased User Scheduling for Heterogeneous Wireless Federate Learning Network | arXiv | 2025 | Link |
| Adaptive Client Selection in Federated Learning: A Network Anomaly Detection Use Case | arXiv | 2025 | Link |
| Adaptive Client Selection via Q-Learning-based Whittle Index in Wireless Federated Learning | arXiv | 2025 | Link |
| Adaptive Cybersecurity Architecture for Digital Product Ecosystems Using Agentic AI | arXiv | 2025 | Link |
| Adaptive Deadline and Batch Layered Synchronized Federated Learning | arXiv | 2025 | Link |
| Adaptive Decentralized Federated Learning for Robust Optimization | arXiv | 2025 | Link |
| Adaptive Dual-Mode Distillation with Incentive Schemes for Scalable, Heterogeneous Federated Learning on Non-IID Data | arXiv | 2025 | Link |
| Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data | arXiv | 2025 | Link |
| Adaptive Federated Few-Shot Rare-Disease Diagnosis with Energy-Aware Secure Aggregation | arXiv | 2025 | Link |
| Adaptive Federated Learning Defences via Trust-Aware Deep Q-Networks | arXiv | 2025 | Link |
| Adaptive Federated Learning to Optimize Integrated Flows in Cyber-Physical Data Centers | arXiv | 2025 | Link |
| Adaptive Federated Learning via Dynamical System Model | arXiv | 2025 | Link |
| Adaptive Federated Learning with Functional Encryption: A Comparison of Classical and Quantum-safe Options | arXiv | 2025 | Link |
| Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling | arXiv | 2025 | Link |
| Adaptive Latent-Space Constraints in Personalized Federated Learning | arXiv | 2025 | Link |
| Adaptive LoRA Experts Allocation and Selection for Federated Fine-Tuning | arXiv | 2025 | Link |
| Adaptive Prototype Knowledge Transfer for Federated Learning with Mixed Modalities and Heterogeneous Tasks | arXiv | 2025 | Link |
| Adaptive Rank Allocation for Federated Parameter-Efficient Fine-Tuning of Language Models | arXiv | 2025 | Link |
| Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning | arXiv | 2025 | Link |
| Adaptive UAV-Assisted Hierarchical Federated Learning: Optimizing Energy, Latency, and Resilience for Dynamic Smart IoT | arXiv | 2025 | Link |
| Adaptive federated learning for ship detection across diverse satellite imagery sources | arXiv | 2025 | Link |
| Adaptively Weighted Averaging Over-the-Air Computation and Its Application to Distributed Gaussian Process Regression | arXiv | 2025 | Link |
| Addressing Data Quality Decompensation in Federated Learning via Dynamic Client Selection | arXiv | 2025 | Link |
| Addressing the Collaboration Dilemma in Low-Data Federated Learning via Transient Sparsity | arXiv | 2025 | Link |
| AdeptHEQ-FL: Adaptive Homomorphic Encryption for Federated Learning of Hybrid Classical-Quantum Models with Dynamic Layer Sparing | arXiv | 2025 | Link |
| Advanced Deep Learning and Large Language Models: Comprehensive Insights for Cancer Detection | arXiv | 2025 | Link |
| Advanced Longitudinal Control and Collision Avoidance for High-Risk Edge Cases in Autonomous Driving | arXiv | 2025 | Link |
| Advances in Medical Image Segmentation: A Comprehensive Survey with a Focus on Lumbar Spine Applications | arXiv | 2025 | Link |
| Advancing Deep Learning through Probability Engineering: A Pragmatic Paradigm for Modern AI | arXiv | 2025 | Link |
| Advancing MRI Reconstruction: A Systematic Review of Deep Learning and Compressed Sensing Integration | arXiv | 2025 | Link |
| Advancing Personalized Federated Learning: Integrative Approaches with AI for Enhanced Privacy and Customization | arXiv | 2025 | Link |
| Adversarial Node Placement in Decentralized Federated Learning: Maximum Spanning-Centrality Strategy and Performance Analysis | arXiv | 2025 | Link |
| Adversarial Robustness in Distributed Quantum Machine Learning | arXiv | 2025 | Link |
| Adversarial Versus Federated: An Adversarial Learning based Multi-Modality Cross-Domain Federated Medical Segmentation | arXiv | 2025 | Link |
| AerialDB: A Federated Peer-to-Peer Spatio-temporal Edge Datastore for Drone Fleets | arXiv | 2025 | Link |
| Age-Aware Partial Gradient Update Strategy for Federated Learning Over the Air | arXiv | 2025 | Link |
| Age-Based Device Selection and Transmit Power Optimization in Over-the-Air Federated Learning | arXiv | 2025 | Link |
| Aggregating Low Rank Adapters in Federated Fine-tuning | arXiv | 2025 | Link |
| Aggregation on Learnable Manifolds for Asynchronous Federated Optimization | arXiv | 2025 | Link |
| AgriTrust: a Federated Semantic Governance Framework for Trusted Agricultural Data Sharing | arXiv | 2025 | Link |
| Air-FedGA: A Grouping Asynchronous Federated Learning Mechanism Exploiting Over-the-air Computation | arXiv | 2025 | Link |
| AirFed: A Federated Graph-Enhanced Multi-Agent Reinforcement Learning Framework for Multi-UAV Cooperative Mobile Edge Computing | arXiv | 2025 | Link |
| AirTOWN: A Privacy-Preserving Mobile App for Real-time Pollution-Aware POI Suggestion | arXiv | 2025 | Link |
| Aligning Beam with Imbalanced Multi-modality: A Generative Federated Learning Approach | arXiv | 2025 | Link |
| Aligning Language Models with Investor and Market Behavior for Financial Recommendations | arXiv | 2025 | Link |
| AltGDmin: Alternating GD and Minimization for Partly-Decoupled (Federated) Optimization | arXiv | 2025 | Link |
| Ampere: Communication-Efficient and High-Accuracy Split Federated Learning | arXiv | 2025 | Link |
| An AI-powered Public Health Automated Kiosk System for Personalized Care: An Experimental Pilot Study | arXiv | 2025 | Link |
| An Adaptive Clustering Scheme for Client Selections in Communication-Efficient Federated Learning | arXiv | 2025 | Link |
| An Adaptive ML Framework for Power Converter Monitoring via Federated Transfer Learning | arXiv | 2025 | Link |
| An Analytics-Driven Approach to Enhancing Supply Chain Visibility with Graph Neural Networks and Federated Learning | arXiv | 2025 | Link |
| An Efficient Gradient-Aware Error-Bounded Lossy Compressor for Federated Learning | arXiv | 2025 | Link |
| An Efficient Privacy-preserving Intrusion Detection Scheme for UAV Swarm Networks | arXiv | 2025 | Link |
| An Efficient Subspace Algorithm for Federated Learning on Heterogeneous Data | arXiv | 2025 | Link |
| An Efficient and Adaptive Framework for Achieving Underwater High-performance Maintenance Networks | arXiv | 2025 | Link |
| An Empirical Analysis of Tiff's Impact on American Business Formation | arXiv | 2025 | Link |
| An Empirical Study of Federated Prompt Learning for Vision Language Model | arXiv | 2025 | Link |
| An Empirical Study of the Impact of Federated Learning on Machine Learning Model Accuracy | arXiv | 2025 | Link |
| An Enhanced Privacy-preserving Federated Few-shot Learning Framework for Respiratory Disease Diagnosis | arXiv | 2025 | Link |
| An Ensembled Penalized Federated Learning Framework for Falling People Detection | arXiv | 2025 | Link |
| An Information-Theoretic Analysis for Federated Learning under Concept Drift | arXiv | 2025 | Link |
| An Interactive Framework for Implementing Privacy-Preserving Federated Learning: Experiments on Large Language Models | arXiv | 2025 | Link |
| An Interdisciplinary and Cross-Task Review on Missing Data Imputation | arXiv | 2025 | Link |
| An Internet of Intelligent Things Framework for Decentralized Heterogeneous Platforms | arXiv | 2025 | Link |
| An Interpretable Federated Learning Control Framework Design for Smart Grid Resilience | arXiv | 2025 | Link |
| An LLM Agentic Approach for Legal-Critical Software: A Case Study for Tax Prep Software | arXiv | 2025 | Link |
| An ML-Driven Participant Selection Technique for Federated Recommendation System in Edge-Cloud Computing | arXiv | 2025 | Link |
| An Overview on the Landscape of Self-Adaptive Cloud Design and Operation Patterns: Goals, Strategies, Tooling, Evaluation, and Dataset Perspectives | arXiv | 2025 | Link |
| Analog Over-the-Air Federated Learning with Interference-Based Energy Harvesting | arXiv | 2025 | Link |
| AnalogFed: Federated Discovery of Analog Circuit Topologies with Generative AI | arXiv | 2025 | Link |
| Analysis and Optimization of Wireless Multimodal Federated Learning on Modal Heterogeneity | arXiv | 2025 | Link |
| Analysis of Asynchronous Federated Learning: Unraveling the Interactions between Gradient Compression, Delay, and Data Heterogeneity | arXiv | 2025 | Link |
| Analytic Personalized Federated Meta-Learning | arXiv | 2025 | Link |
| Analyzing Bias in Swiss Federal Supreme Court Judgments Using Facebook's Holistic Bias Dataset: Implications for Language Model Training | arXiv | 2025 | Link |
| Analyzing the Impact of Participant Failures in Cross-Silo Federated Learning | arXiv | 2025 | Link |
| Analyzing the progress of Indian states chasing sustainable development goals using complex network framework | arXiv | 2025 | Link |
| AndroIDS : Android-based Intrusion Detection System using Federated Learning | arXiv | 2025 | Link |
| Anomaly Detection in Double-entry Bookkeeping Data by Federated Learning System with Non-model Sharing Approach | arXiv | 2025 | Link |
| Anomaly Detection in Electric Vehicle Charging Stations Using Federated Learning | arXiv | 2025 | Link |
| Anomaly-Flow: A Multi-domain Federated Generative Adversarial Network for Distributed Denial-of-Service Detection | arXiv | 2025 | Link |
| Anti-Regulatory AI: How "AI Safety" is Leveraged Against Regulatory Oversight | arXiv | 2025 | Link |
| Anti-adversarial Learning: Desensitizing Prompts for Large Language Models | arXiv | 2025 | Link |
| AntiFLipper: A Secure and Efficient Defense Against Label-Flipping Attacks in Federated Learning | arXiv | 2025 | Link |
| Approximated Behavioral Metric-based State Projection for Federated Reinforcement Learning | arXiv | 2025 | Link |
| Argos: A Decentralized Federated System for Detection of Traffic Signs in CAVs | arXiv | 2025 | Link |
| Argus: Federated Non-convex Bilevel Learning over 6G Space-Air-Ground Integrated Network | arXiv | 2025 | Link |
| Armadillo: Robust Single-Server Secure Aggregation for Federated Learning with Input Validation | arXiv | 2025 | Link |
| Artificial Intelligence for Personalized Prediction of Alzheimer's Disease Progression: A Survey of Methods, Data Challenges, and Future Directions | arXiv | 2025 | Link |
| Assessing Trustworthiness of AI Training Dataset using Subjective Logic -- A Use Case on Bias | arXiv | 2025 | Link |
| Assessing the Impact of External and Internal Factors on Emergency Department Overcrowding | arXiv | 2025 | Link |
| Assortment of Attention Heads: Accelerating Federated PEFT with Head Pruning and Strategic Client Selection | arXiv | 2025 | Link |
| Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers | arXiv | 2025 | Link |
| Asynchronous Federated Learning with non-convex client objective functions and heterogeneous dataset | arXiv | 2025 | Link |
| Asynchronous Personalized Federated Learning through Global Memorization | arXiv | 2025 | Link |
| Attracting Commercial Artificial Intelligence Firms to Support National Security through Collaborative Contracts | arXiv | 2025 | Link |
| AugFL: Augmenting Federated Learning with Pretrained Models | arXiv | 2025 | Link |
| AutoDFL: A Scalable and Automated Reputation-Aware Decentralized Federated Learning | arXiv | 2025 | Link |
| AutoFed: Manual-Free Federated Traffic Prediction via Personalized Prompt | arXiv | 2025 | Link |
| Automated Archival Descriptions with Federated Intelligence of LLMs | arXiv | 2025 | Link |
| Automating the RMF: Lessons from the FedRAMP 20x Pilot | arXiv | 2025 | Link |
| Autonomous Cyber Resilience via a Co-Evolutionary Arms Race within a Fortified Digital Twin Sandbox | arXiv | 2025 | Link |
| Avoid Forgetting by Preserving Global Knowledge Gradients in Federated Learning with Non-IID Data | arXiv | 2025 | Link |
| BAPFL: Exploring Backdoor Attacks Against Prototype-based Federated Learning | arXiv | 2025 | Link |
| BDPFL: Backdoor Defense for Personalized Federated Learning via Explainable Distillation | arXiv | 2025 | Link |
| BICompFL: Stochastic Federated Learning with Bi-Directional Compression | arXiv | 2025 | Link |
| BIPPO: Budget-Aware Independent PPO for Energy-Efficient Federated Learning Services | arXiv | 2025 | Link |
| BTFL: A Bayesian-based Test-Time Generalization Method for Internal and External Data Distributions in Federated learning | arXiv | 2025 | Link |
| BackFed: An Efficient & Standardized Benchmark Suite for Backdoor Attacks in Federated Learning | arXiv | 2025 | Link |
| Bad-PFL: Exploring Backdoor Attacks against Personalized Federated Learning | arXiv | 2025 | Link |
| BadFU: Backdoor Federated Learning through Adversarial Machine Unlearning | arXiv | 2025 | Link |
| BadPromptFL: A Novel Backdoor Threat to Prompt-based Federated Learning in Multimodal Models | arXiv | 2025 | Link |
| Balancing Client Participation in Federated Learning Using AoI | arXiv | 2025 | Link |
| Bant: Byzantine Antidote via Trial Function and Trust Scores | arXiv | 2025 | Link |
| Battery-aware Cyclic Scheduling in Energy-harvesting Federated Learning | arXiv | 2025 | Link |
| Bayesian Coreset Optimization for Personalized Federated Learning | arXiv | 2025 | Link |
| Bayesian Federated Cause-of-Death Classification and Quantification Under Distribution Shift | arXiv | 2025 | Link |
| Bayesian Federated Learning for Continual Training | arXiv | 2025 | Link |
| Bayesian Network Structural Consensus via Greedy Min-Cut Analysis | arXiv | 2025 | Link |
| Bayesian Robust Aggregation for Federated Learning | arXiv | 2025 | Link |
| Bayesian Surrogates for Risk-Aware Pre-Assessment of Aging Bridge Portfolios | arXiv | 2025 | Link |
| Behavioral Anomaly Detection in Distributed Systems via Federated Contrastive Learning | arXiv | 2025 | Link |
| Benchmarking Catastrophic Forgetting Mitigation Methods in Federated Time Series Forecasting | arXiv | 2025 | Link |
| Benchmarking Federated Learning Frameworks for Medical Imaging Deployment: A Comparative Study of NVIDIA FLARE, Flower, and Owkin Substra | arXiv | 2025 | Link |
| Benchmarking Federated Learning for Throughput Prediction in 5G Live Streaming Applications | arXiv | 2025 | Link |
| Benchmarking Mutual Information-based Loss Functions in Federated Learning | arXiv | 2025 | Link |
| Benchmarking Robust Aggregation in Decentralized Gradient Marketplaces | arXiv | 2025 | Link |
| Besicovitch-Federer projection theorem for measures | arXiv | 2025 | Link |
| Beyond Aggregation: Guiding Clients in Heterogeneous Federated Learning | arXiv | 2025 | Link |
| Beyond Centralization: Provable Communication Efficient Decentralized Multi-Task Learning | arXiv | 2025 | Link |
| Beyond Johnson-Lindenstrauss: Uniform Bounds for Sketched Bilinear Forms | arXiv | 2025 | Link |
| Beyond Model Scale Limits: End-Edge-Cloud Federated Learning with Self-Rectified Knowledge Agglomeration | arXiv | 2025 | Link |
| Beyond Personalization: Federated Recommendation with Calibration via Low-rank Decomposition | arXiv | 2025 | Link |
| Beyond Prediction: Reinforcement Learning as the Defining Leap in Healthcare AI | arXiv | 2025 | Link |
| Beyond Scaffold: A Unified Spatio-Temporal Gradient Tracking Method | arXiv | 2025 | Link |
| Beyond Static Knowledge Messengers: Towards Adaptive, Fair, and Scalable Federated Learning for Medical AI | arXiv | 2025 | Link |
| Beyond Trade-offs: A Unified Framework for Privacy, Robustness, and Communication Efficiency in Federated Learning | arXiv | 2025 | Link |
| Beyond the Crawl: Unmasking Browser Fingerprinting in Real User Interactions | arXiv | 2025 | Link |
| Bi-level Personalization for Federated Foundation Models: A Task-vector Aggregation Approach | arXiv | 2025 | Link |
| Biased Federated Learning under Wireless Heterogeneity | arXiv | 2025 | Link |
| Bilateral Differentially Private Vertical Federated Boosted Decision Trees | arXiv | 2025 | Link |
| Bitcoin as an Interplanetary Monetary Standard with Proof-of-Transit Timestamping | arXiv | 2025 | Link |
| BlendFL: Blended Federated Learning for Handling Multimodal Data Heterogeneity | arXiv | 2025 | Link |
| Blockchain for Federated Learning in the Internet of Things: Trustworthy Adaptation, Standards, and the Road Ahead | arXiv | 2025 | Link |
| Blockchain-Driven Federation for Distributed Edge Systems: Design and Experimental Validation | arXiv | 2025 | Link |
| Blockchain-Enabled Explainable AI for Trusted Healthcare Systems | arXiv | 2025 | Link |
| Blockchain-Enabled Federated Learning | arXiv | 2025 | Link |
| Blockchain-Enabled Management Framework for Federated Coalition Networks | arXiv | 2025 | Link |
| Blockchain-Enabled Privacy-Preserving Second-Order Federated Edge Learning in Personalized Healthcare | arXiv | 2025 | Link |
| Blockchain-assisted Demonstration Cloning for Multi-Agent Deep Reinforcement Learning | arXiv | 2025 | Link |
| Blockchain-based Framework for Scalable and Incentivized Federated Learning | arXiv | 2025 | Link |
| Boosting Gradient Leakage Attacks: Data Reconstruction in Realistic FL Settings | arXiv | 2025 | Link |
| Boosting multi-demographic federated learning for chest radiograph analysis using general-purpose self-supervised representations | arXiv | 2025 | Link |
| BotDetect: A Decentralized Federated Learning Framework for Detecting Financial Bots on the EVM Blockchains | arXiv | 2025 | Link |
| Brain Tumor Detection in MRI Based on Federated Learning with YOLOv11 | arXiv | 2025 | Link |
| Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages | arXiv | 2025 | Link |
| Breaking Privacy in Federated Clustering: Perfect Input Reconstruction via Temporal Correlations | arXiv | 2025 | Link |
| Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach | arXiv | 2025 | Link |
| Breath as a biomarker: A survey of contact and contactless applications and approaches in respiratory monitoring | arXiv | 2025 | Link |
| Bridging Generalization Gap of Heterogeneous Federated Clients Using Generative Models | arXiv | 2025 | Link |
| Bridging Local and Federated Data Normalization in Federated Learning: A Privacy-Preserving Approach | arXiv | 2025 | Link |
| Bridging Psychometric and Content Development Practices with AI: A Community-Based Workflow for Augmenting Hawaiian Language Assessments | arXiv | 2025 | Link |
| Bringing Federated Learning to Space | arXiv | 2025 | Link |
| Bringing Multi-Modal Multi-Task Federated Foundation Models to Education Domain: Prospects and Challenges | arXiv | 2025 | Link |
| Buffer is All You Need: Defending Federated Learning against Backdoor Attacks under Non-iids via Buffering | arXiv | 2025 | Link |
| Building a Media Ecosystem Observatory from Scratch: Infrastructure, Methodology, and Insights | arXiv | 2025 | Link |
| Building a Village: A Multi-stakeholder Approach to Open Innovation and Shared Governance to Promote Youth Online Safety | arXiv | 2025 | Link |
| ByzFL: Research Framework for Robust Federated Learning | arXiv | 2025 | Link |
| Byzantine Resilient Federated Multi-Task Representation Learning | arXiv | 2025 | Link |
| Byzantine-Resilient Federated Learning via Distributed Optimization | arXiv | 2025 | Link |
| Byzantine-Resilient Over-the-Air Federated Learning under Zero-Trust Architecture | arXiv | 2025 | Link |
| Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning | arXiv | 2025 | Link |
| Byzantine-Robust Federated Learning over Ring-All-Reduce Distributed Computing | arXiv | 2025 | Link |
| Byzantine-Robust Federated Learning with Learnable Aggregation Weights | arXiv | 2025 | Link |
| Byzantine-resilient federated online learning for Gaussian process regression | arXiv | 2025 | Link |
| C${}^2$Prompt: Class-aware Client Knowledge Interaction for Federated Continual Learning | arXiv | 2025 | Link |
| CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning | arXiv | 2025 | Link |
| CAFL-L: Constraint-Aware Federated Learning with Lagrangian Dual Optimization for On-Device Language Models | arXiv | 2025 | Link |
| CAPT: Class-Aware Prompt Tuning for Federated Long-Tailed Learning with Vision-Language Model | arXiv | 2025 | Link |
| CARE: Compatibility-Aware Incentive Mechanisms for Federated Learning with Budgeted Requesters | arXiv | 2025 | Link |
| CATCHFed: Efficient Unlabeled Data Utilization for Semi-Supervised Federated Learning in Limited Labels Environments | arXiv | 2025 | Link |
| CEPerFed: Communication-Efficient Personalized Federated Learning for Multi-Pulse MRI Classification | arXiv | 2025 | Link |
| CFL-SparseMed: Communication-Efficient Federated Learning for Medical Imaging with Top-k Sparse Updates | arXiv | 2025 | Link |
| CG-FKAN: Compressed-Grid Federated Kolmogorov-Arnold Networks for Communication Constrained Environment | arXiv | 2025 | Link |
| CHASe: Client Heterogeneity-Aware Data Selection for Effective Federated Active Learning | arXiv | 2025 | Link |
| CLIP: Client-Side Invariant Pruning for Mitigating Stragglers in Secure Federated Learning | arXiv | 2025 | Link |
| CLLoRA: An Approach to Measure the Effects of the Context Length for LLM Fine-Tuning | arXiv | 2025 | Link |
| CLUES: Collaborative High-Quality Data Selection for LLMs via Training Dynamics | arXiv | 2025 | Link |
| CLoVE: Personalized Federated Learning through Clustering of Loss Vector Embeddings | arXiv | 2025 | Link |
| CO-DEFEND: Continuous Decentralized Federated Learning for Secure DoH-Based Threat Detection | arXiv | 2025 | Link |
| CO-PFL: Contribution-Oriented Personalized Federated Learning for Heterogeneous Networks | arXiv | 2025 | Link |
| CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks | arXiv | 2025 | Link |
| CSVAR: Enhancing Visual Privacy in Federated Learning via Adaptive Shuffling Against Overfitting | arXiv | 2025 | Link |
| CacheFL: Privacy-Preserving and Efficient Federated Cache Model Fine-Tuning for Vision-Language Models | arXiv | 2025 | Link |
| Caching Techniques for Reducing the Communication Cost of Federated Learning in IoT Environments | arXiv | 2025 | Link |
| Calibrating Biased Distribution in VFM-derived Latent Space via Cross-Domain Geometric Consistency | arXiv | 2025 | Link |
| Campaigning through the lens of Google: A large-scale algorithm audit of Google searches in the run-up to the Swiss Federal Elections 2023 | arXiv | 2025 | Link |
| Can One Safety Loop Guard Them All? Agentic Guard Rails for Federated Computing | arXiv | 2025 | Link |
| Can Textual Gradient Work in Federated Learning? | arXiv | 2025 | Link |
| Can We Predict Your Next Move Without Breaking Your Privacy? | arXiv | 2025 | Link |
| Can We Reliably Predict the Fed's Next Move? A Multi-Modal Approach to U.S. Monetary Policy Forecasting | arXiv | 2025 | Link |
| Capture Global Feature Statistics for One-Shot Federated Learning | arXiv | 2025 | Link |
| Cartographers in Cubicles: How Training and Preferences of Mapmakers Interplay with Structures and Norms in Not-for-Profit Organizations | arXiv | 2025 | Link |
| Category Discovery: An Open-World Perspective | arXiv | 2025 | Link |
| Causal Inference for Circular Data | arXiv | 2025 | Link |
| Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning | arXiv | 2025 | Link |
| Centered MA Dirichlet ARMA for Financial Compositions: Theory & Empirical Evidence | arXiv | 2025 | Link |
| Central Bank Communication with Public: Bank of England and Twitter (X) | arXiv | 2025 | Link |
| Centralized vs. Decentralized Security for Space AI Systems? A New Look | arXiv | 2025 | Link |
| Centralized vs. Federated Learning for Educational Data Mining: A Comparative Study on Student Performance Prediction with SAEB Microdata | arXiv | 2025 | Link |
| Centroid Approximation for Byzantine-Tolerant Federated Learning | arXiv | 2025 | Link |
| Challenge-Based Funding to Spark Origins Breakthroughs | arXiv | 2025 | Link |
| Challenges of Trustworthy Federated Learning: What's Done, Current Trends and Remaining Work | arXiv | 2025 | Link |
| Challenging the Abilities of Large Language Models in Italian: a Community Initiative | arXiv | 2025 | Link |
| Channel-Independent Federated Traffic Prediction | arXiv | 2025 | Link |
| Characterising Global Platforms: Centralised, Decentralised, Federated, and Grassroots | arXiv | 2025 | Link |
| Characterizing the Performance of Accelerated Jetson Edge Devices for Training Deep Learning Models | arXiv | 2025 | Link |
| Chisme: Fully Decentralized Differentiated Deep Learning for IoT Intelligence | arXiv | 2025 | Link |
| Choice Outweighs Effort: Facilitating Complementary Knowledge Fusion in Federated Learning via Re-calibration and Merit-discrimination | arXiv | 2025 | Link |
| Chord Measures in Integral Geometry and Their Minkowski Problems | arXiv | 2025 | Link |
| Class-wise Balancing Data Replay for Federated Class-Incremental Learning | arXiv | 2025 | Link |
| Classification of Lower Limb Activities Based on Discrete Wavelet Transform Using On-Body Creeping Wave Propagation | arXiv | 2025 | Link |
| Client Selection Strategies for Federated Semantic Communications in Heterogeneous IoT Networks | arXiv | 2025 | Link |
| Client Selection in Federated Learning with Data Heterogeneity and Network Latencies | arXiv | 2025 | Link |
| Client-Centric Federated Adaptive Optimization | arXiv | 2025 | Link |
| Closer to Reality: Practical Semi-Supervised Federated Learning for Foundation Model Adaptation | arXiv | 2025 | Link |
| Closing the Generalization Gap in Parameter-efficient Federated Edge Learning | arXiv | 2025 | Link |
| Cloud Revolution: Tracing the Origins and Rise of Cloud Computing | arXiv | 2025 | Link |
| ClusMFL: A Cluster-Enhanced Framework for Modality-Incomplete Multimodal Federated Learning in Brain Imaging Analysis | arXiv | 2025 | Link |
| Clust-PSI-PFL: A Population Stability Index Approach for Clustered Non-IID Personalized Federated Learning | arXiv | 2025 | Link |
| Cluster-Aware Multi-Round Update for Wireless Federated Learning in Heterogeneous Environments | arXiv | 2025 | Link |
| Cluster-Based Client Selection for Dependent Multi-Task Federated Learning in Edge Computing | arXiv | 2025 | Link |
| Clustered Federated Learning for Generalizable FDIA Detection in Smart Grids with Heterogeneous Data | arXiv | 2025 | Link |
| Clustered Federated Learning via Embedding Distributions | arXiv | 2025 | Link |
| Clustered Federated Learning with Hierarchical Knowledge Distillation | arXiv | 2025 | Link |
| Clustering-Based Evolutionary Federated Multiobjective Optimization and Learning | arXiv | 2025 | Link |
| CoGraM: Context-sensitive granular optimization method with rollback for robust model fusion | arXiv | 2025 | Link |
| CoSense-LLM: Semantics at the Edge with Cost- and Uncertainty-Aware Cloud-Edge Cooperation | arXiv | 2025 | Link |
| Coalition Formation for Heterogeneous Federated Learning Enabled Channel Estimation in RIS-assisted Cell-free MIMO | arXiv | 2025 | Link |
| Coding-Enforced Robust Secure Aggregation for Federated Learning Under Unreliable Communication | arXiv | 2025 | Link |
| Cognitive Edge Computing: A Comprehensive Survey on Optimizing Large Models and AI Agents for Pervasive Deployment | arXiv | 2025 | Link |
| CognitiveSky: Scalable Sentiment and Narrative Analysis for Decentralized Social Media | arXiv | 2025 | Link |
| Coherence-Aware Distributed Learning under Heterogeneous Downlink Impairments | arXiv | 2025 | Link |
| ColNet: Collaborative Optimization in Decentralized Federated Multi-task Learning Systems | arXiv | 2025 | Link |
| CollaPipe: Adaptive Segment-Optimized Pipeline Parallelism for Collaborative LLM Training in Heterogeneous Edge Networks | arXiv | 2025 | Link |
| Collaborative Batch Size Optimization for Federated Learning | arXiv | 2025 | Link |
| Collaborative Content Moderation in the Fediverse | arXiv | 2025 | Link |
| Collaborative Indirect Treatment Comparisons with Multiple Distributed Single-arm Trials | arXiv | 2025 | Link |
| Collaborative Split Federated Learning with Parallel Training and Aggregation | arXiv | 2025 | Link |
| Collaborative Value Function Estimation Under Model Mismatch: A Federated Temporal Difference Analysis | arXiv | 2025 | Link |
| Collective Bargaining in the Information Economy Can Address AI-Driven Power Concentration | arXiv | 2025 | Link |
| Colorectal Cancer Histopathological Grading using Multi-Scale Federated Learning | arXiv | 2025 | Link |
| Combined Hyper-Extensible Extremely-Secured Zero-Trust CIAM-PAM architecture | arXiv | 2025 | Link |
| Common Data Format (CDF): A Standardized Format for Match-Data in Football (Soccer) | arXiv | 2025 | Link |
| Communication Compression for Distributed Learning with Aggregate and Server-Guided Feedback | arXiv | 2025 | Link |
| Communication Efficient Adaptive Model-Driven Quantum Federated Learning | arXiv | 2025 | Link |
| Communication Efficient Federated Learning with Linear Convergence on Heterogeneous Data | arXiv | 2025 | Link |
| Communication Optimization for Decentralized Learning atop Bandwidth-limited Edge Networks | arXiv | 2025 | Link |
| Communication and Computation Efficient Split Federated Learning in O-RAN | arXiv | 2025 | Link |
| Communication-Aware Knowledge Distillation for Federated LLM Fine-Tuning over Wireless Networks | arXiv | 2025 | Link |
| Communication-Efficient Algorithms for Distributed Nonconvex Minimax Optimization Problems | arXiv | 2025 | Link |
| Communication-Efficient Device Scheduling for Federated Learning Using Lyapunov Optimization | arXiv | 2025 | Link |
| Communication-Efficient Distributed Asynchronous ADMM | arXiv | 2025 | Link |
| Communication-Efficient Federated Learning Based on Explanation-Guided Pruning for Remote Sensing Image Classification | arXiv | 2025 | Link |
| Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks | arXiv | 2025 | Link |
| Communication-Efficient Federated Learning with Adaptive Number of Participants | arXiv | 2025 | Link |
| Communication-Efficient Learning for Satellite Constellations | arXiv | 2025 | Link |
| Communication-Efficient Module-Wise Federated Learning for Grasp Pose Detection in Cluttered Environments | arXiv | 2025 | Link |
| Communication-Efficient Wireless Federated Fine-Tuning for Large-Scale AI Models | arXiv | 2025 | Link |
| Communication-Efficient Zero-Order and First-Order Federated Learning Methods over Wireless Networks | arXiv | 2025 | Link |
| Communication-Efficient and Accurate Approach for Aggregation in Federated Low-Rank Adaptation | arXiv | 2025 | Link |
| Communication-Efficient and Interoperable Distributed Learning | arXiv | 2025 | Link |
| Communication-Efficient and Personalized Federated Foundation Model Fine-Tuning via Tri-Matrix Adaptation | arXiv | 2025 | Link |
| Communication-Efficient and Privacy-Adaptable Mechanism for Federated Learning | arXiv | 2025 | Link |
| Communication-Efficient, 2D Parallel Stochastic Gradient Descent for Distributed-Memory Optimization | arXiv | 2025 | Link |
| Communication-Learning Co-Design for Differentially Private Over-the-Air Federated Distillation | arXiv | 2025 | Link |
| Communication-Pipelined Split Federated Learning for Foundation Model Fine-Tuning in UAV Networks | arXiv | 2025 | Link |
| Communication-and-Computation Efficient Split Federated Learning: Gradient Aggregation and Resource Management | arXiv | 2025 | Link |
| Comparative Analysis of Time Series Foundation Models for Demographic Forecasting: Enhancing Predictive Accuracy in US Population Dynamics | arXiv | 2025 | Link |
| Comparing User Activity on X and Mastodon | arXiv | 2025 | Link |
| Comparing privacy notions for protection against reconstruction attacks in machine learning | arXiv | 2025 | Link |
| Complementarity, Augmentation, or Substitutivity? The Impact of Generative Artificial Intelligence on the U.S. Federal Workforce | arXiv | 2025 | Link |
| Comprehensive and Spatially Detailed Passenger Vehicle and Truck Traffic Volume Data for the United States Estimated by Machine Learning | arXiv | 2025 | Link |
| Computation- and Communication-Efficient Online FL for Resource-Constrained Aerial Vehicles | arXiv | 2025 | Link |
| Computation-aware Energy-harvesting Federated Learning: Cyclic Scheduling with Selective Participation | arXiv | 2025 | Link |
| Conceptual Design Report for FAIR Computing | arXiv | 2025 | Link |
| Concurrent validity of computer-vision artificial intelligence player tracking software using broadcast footage | arXiv | 2025 | Link |
| Conditioning on Local Statistics for Scalable Heterogeneous Federated Learning | arXiv | 2025 | Link |
| Connecting Federated ADMM to Bayes | arXiv | 2025 | Link |
| Connectivity for AI enabled cities -- A field survey based study of emerging economies | arXiv | 2025 | Link |
| Constrained Over-the-Air Model Updating for Wireless Online Federated Learning with Delayed Information | arXiv | 2025 | Link |
| Context Lineage Assurance for Non-Human Identities in Critical Multi-Agent Systems | arXiv | 2025 | Link |
| Continuous-Time Analysis of Federated Averaging | arXiv | 2025 | Link |
| Converge Faster, Talk Less: Hessian-Informed Federated Zeroth-Order Optimization | arXiv | 2025 | Link |
| Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning | arXiv | 2025 | Link |
| Convergence Guarantees for Federated SARSA with Local Training and Heterogeneous Agents | arXiv | 2025 | Link |
| Convergence Theory of Flexible ALADIN for Distributed Optimization | arXiv | 2025 | Link |
| Convergence of Agnostic Federated Averaging | arXiv | 2025 | Link |
| Convergence-Privacy-Fairness Trade-Off in Personalized Federated Learning | arXiv | 2025 | Link |
| Cooperative Decentralized Backdoor Attacks on Vertical Federated Learning | arXiv | 2025 | Link |
| Cooperative Gradient Coding | arXiv | 2025 | Link |
| Cooperative Perception: A Resource-Efficient Framework for Multi-Drone 3D Scene Reconstruction Using Federated Diffusion and NeRF | arXiv | 2025 | Link |
| Cooperative Pseudo Labeling for Unsupervised Federated Classification | arXiv | 2025 | Link |
| Corrected with the Latest Version: Make Robust Asynchronous Federated Learning Possible | arXiv | 2025 | Link |
| Cost-Free Personalization via Information-Geometric Projection in Bayesian Federated Learning | arXiv | 2025 | Link |
| Cost-TrustFL: Cost-Aware Hierarchical Federated Learning with Lightweight Reputation Evaluation across Multi-Cloud | arXiv | 2025 | Link |
| Coward: Collision-based Watermark for Proactive Federated Backdoor Detection | arXiv | 2025 | Link |
| Credit Risk Analysis for SMEs Using Graph Neural Networks in Supply Chain | arXiv | 2025 | Link |
| Cross-Cloud Data Privacy Protection: Optimizing Collaborative Mechanisms of AI Systems by Integrating Federated Learning and LLMs | arXiv | 2025 | Link |
| Cross-Domain Federated Semantic Communication with Global Representation Alignment and Domain-Aware Aggregation | arXiv | 2025 | Link |
| Cross-Organizational Analysis of Parliamentary Processes: A Case Study | arXiv | 2025 | Link |
| Curated Collaborative AI Edge with Network Data Analytics for B5G/6G Radio Access Networks | arXiv | 2025 | Link |
| Currents in Heisenberg groups | arXiv | 2025 | Link |
| Cutting Through Privacy: A Hyperplane-Based Data Reconstruction Attack in Federated Learning | arXiv | 2025 | Link |
| CycleSL: Server-Client Cyclical Update Driven Scalable Split Learning | arXiv | 2025 | Link |
| Cyst-X: A Federated AI System Outperforms Clinical Guidelines to Detect Pancreatic Cancer Precursors and Reduce Unnecessary Surgery | arXiv | 2025 | Link |
| D-Rex: Heterogeneity-Aware Reliability Framework and Adaptive Algorithms for Distributed Storage | arXiv | 2025 | Link |
| D2M: A Decentralized, Privacy-Preserving, Incentive-Compatible Data Marketplace for Collaborative Learning | arXiv | 2025 | Link |
| D3FL: Data Distribution and Detrending for Robust Federated Learning in Non-linear Time-series Data | arXiv | 2025 | Link |
| DAG-AFL:Directed Acyclic Graph-based Asynchronous Federated Learning | arXiv | 2025 | Link |
| DANIEL: A Distributed and Scalable Approach for Global Representation Learning with EHR Applications | arXiv | 2025 | Link |
| DARTS: A Dual-View Attack Framework for Targeted Manipulation in Federated Sequential Recommendation | arXiv | 2025 | Link |
| DBA-DFL: Towards Distributed Backdoor Attacks with Network Detection in Decentralized Federated Learning | arXiv | 2025 | Link |
| DEFEND: Poisoned Model Detection and Malicious Client Exclusion Mechanism for Secure Federated Learning-based Road Condition Classification | arXiv | 2025 | Link |
| DES-LOC: Desynced Low Communication Adaptive Optimizers for Training Foundation Models | arXiv | 2025 | Link |
| DFAMS: Dynamic-flow guided Federated Alignment based Multi-prototype Search | arXiv | 2025 | Link |
| DFCA: Decentralized Federated Clustering Algorithm | arXiv | 2025 | Link |
| DFPL: Decentralized Federated Prototype Learning Across Heterogeneous Data Distributions | arXiv | 2025 | Link |
| DFed-SST: Building Semantic- and Structure-aware Topologies for Decentralized Federated Graph Learning | arXiv | 2025 | Link |
| DFedReweighting: A Unified Framework for Objective-Oriented Reweighting in Decentralized Federated Learning | arXiv | 2025 | Link |
| DISCO: A Browser-Based Privacy-Preserving Framework for Distributed Collaborative Learning | arXiv | 2025 | Link |
| DOLFIN: Balancing Stability and Plasticity in Federated Continual Learning | arXiv | 2025 | Link |
| DOPA: Stealthy and Generalizable Backdoor Attacks from a Single Client under Challenging Federated Constraints | arXiv | 2025 | Link |
| DP-EMAR: A Differentially Private Framework for Autonomous Model Weight Repair in Federated IoT Systems | arXiv | 2025 | Link |
| DP-FedLoRA: Privacy-Enhanced Federated Fine-Tuning for On-Device Large Language Models | arXiv | 2025 | Link |
| DP-RTFL: Differentially Private Resilient Temporal Federated Learning for Trustworthy AI in Regulated Industries | arXiv | 2025 | Link |
| DP2FL: Dual Prompt Personalized Federated Learning in Foundation Models | arXiv | 2025 | Link |
| DPFNAS: Differential Privacy-Enhanced Federated Neural Architecture Search for 6G Edge Intelligence | arXiv | 2025 | Link |
| DPMM-CFL: Clustered Federated Learning via Dirichlet Process Mixture Model Nonparametric Clustering | arXiv | 2025 | Link |
| DRAGD: A Federated Unlearning Data Reconstruction Attack Based on Gradient Differences | arXiv | 2025 | Link |
| DRAUN: An Algorithm-Agnostic Data Reconstruction Attack on Federated Unlearning Systems | arXiv | 2025 | Link |
| DROP: Poison Dilution via Knowledge Distillation for Federated Learning | arXiv | 2025 | Link |
| DS FedProxGrad: Asymptotic Stationarity Without Noise Floor in Fair Federated Learning | arXiv | 2025 | Link |
| DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information | arXiv | 2025 | Link |
| Data Assetization via Resources-decoupled Federated Learning | arXiv | 2025 | Link |
| Data Heterogeneity and Forgotten Labels in Split Federated Learning | arXiv | 2025 | Link |
| Data Heterogeneity-Aware Client Selection for Federated Learning in Wireless Networks | arXiv | 2025 | Link |
| Data Overvaluation Attack and Truthful Data Valuation in Federated Learning | arXiv | 2025 | Link |
| Data Poisoning Vulnerabilities Across Healthcare AI Architectures: A Security Threat Analysis | arXiv | 2025 | Link |
| Data Sharing in the PRIMED Consortium: Design, implementation, and recommendations for future policymaking | arXiv | 2025 | Link |
| Data Valuation and Selection in a Federated Model Marketplace | arXiv | 2025 | Link |
| Data-Driven Assessment of Concrete Slab Integrity via Impact-Echo Signals and Neural Networks | arXiv | 2025 | Link |
| Data-Driven Breakthroughs and Future Directions in AI Infrastructure: A Comprehensive Review | arXiv | 2025 | Link |
| Data-Driven Dynamic Factor Modeling via Manifold Learning | arXiv | 2025 | Link |
| Data-Free Continual Learning of Server Models in Model-Heterogeneous Cloud-Device Collaboration | arXiv | 2025 | Link |
| Data-centric Federated Graph Learning with Large Language Models | arXiv | 2025 | Link |
| DeCAF: Decentralized Consensus-And-Factorization for Low-Rank Adaptation of Foundation Models | arXiv | 2025 | Link |
| Debunking Optimization Myths in Federated Learning for Medical Image Classification | arXiv | 2025 | Link |
| Decentor-V: Lightweight ML Training on Low-Power RISC-V Edge Devices | arXiv | 2025 | Link |
| Decentralised Resource Sharing in TinyML: Wireless Bilayer Gossip Parallel SGD for Collaborative Learning | arXiv | 2025 | Link |
| Decentralized AI-driven IoT Architecture for Privacy-Preserving and Latency-Optimized Healthcare in Pandemic and Critical Care Scenarios | arXiv | 2025 | Link |
| Decentralized Domain Generalization with Style Sharing: Formal Model and Convergence Analysis | arXiv | 2025 | Link |
| Decentralized Dynamic Cooperation of Personalized Models for Federated Continual Learning | arXiv | 2025 | Link |
| Decentralized Fairness Aware Multi Task Federated Learning for VR Network | arXiv | 2025 | Link |
| Decentralized Federated Averaging via Random Walk | arXiv | 2025 | Link |
| Decentralized Federated Dataset Dictionary Learning for Multi-Source Domain Adaptation | arXiv | 2025 | Link |
| Decentralized Federated Learning of Probabilistic Generative Classifiers | arXiv | 2025 | Link |
| Decentralized Federated Learning with Distributed Aggregation Weight Optimization | arXiv | 2025 | Link |
| Decentralized LoRA Augmented Transformer with Context-aware Multi-scale Feature Learning for Secured Eye Diagnosis | arXiv | 2025 | Link |
| Decentralized Low-Rank Fine-Tuning of Large Language Models | arXiv | 2025 | Link |
| Decentralized Nonconvex Composite Federated Learning with Gradient Tracking and Momentum | arXiv | 2025 | Link |
| Decentralized Pliable Index Coding For Federated Learning In Intelligent Transportation Systems | arXiv | 2025 | Link |
| Decentralized Rank Scheduling for Energy-Constrained Multi-Task Federated Fine-Tuning in Edge-Assisted IoV Networks | arXiv | 2025 | Link |
| Decentralized Semantic Federated Learning for Real-Time Public Safety Tasks: Challenges, Methods, and Directions | arXiv | 2025 | Link |
| Decentralized Time Series Classification with ROCKET Features | arXiv | 2025 | Link |
| Decentralized Trust for Space AI: Blockchain-Based Federated Learning Across Multi-Vendor LEO Satellite Networks | arXiv | 2025 | Link |
| Decentralized Weather Forecasting via Distributed Machine Learning and Blockchain-Based Model Validation | arXiv | 2025 | Link |
| Declarative Policy Control for Data Spaces: A DSL-Based Approach for Manufacturing-X | arXiv | 2025 | Link |
| Decoding FL Defenses: Systemization, Pitfalls, and Remedies | arXiv | 2025 | Link |
| Decoding Federated Learning: The FedNAM+ Conformal Revolution | arXiv | 2025 | Link |
| Decoupled Contrastive Learning for Federated Learning | arXiv | 2025 | Link |
| Decoupled SGDA for Games with Intermittent Strategy Communication | arXiv | 2025 | Link |
| Deep Latent Variable Model based Vertical Federated Learning with Flexible Alignment and Labeling Scenarios | arXiv | 2025 | Link |
| Deep Manifold Part 2: Neural Network Mathematics | arXiv | 2025 | Link |
| Deep Modeling and Optimization of Medical Image Classification | arXiv | 2025 | Link |
| Deepfakes in the 2025 Canadian Election: Prevalence, Partisanship, and Platform Dynamics | arXiv | 2025 | Link |
| Defending the Edge: Representative-Attention Defense against Backdoor Attacks in Federated Learning | arXiv | 2025 | Link |
| Defunding Sexual Healthcare: A Topological Investigation of Resource Accessibility | arXiv | 2025 | Link |
| Degree of Staleness-Aware Data Updating in Federated Learning | arXiv | 2025 | Link |
| Delay Optimization of a Federated Learning-based UAV-aided IoT network | arXiv | 2025 | Link |
| Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation | arXiv | 2025 | Link |
| Delta Sum Learning: an approach for fast and global convergence in Gossip Learning | arXiv | 2025 | Link |
| Demo: A Practical Testbed for Decentralized Federated Learning on Physical Edge Devices | arXiv | 2025 | Link |
| Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things | arXiv | 2025 | Link |
| Deploying Large AI Models on Resource-Limited Devices with Split Federated Learning | arXiv | 2025 | Link |
| Deploying Models to Non-participating Clients in Federated Learning without Fine-tuning: A Hypernetwork-based Approach | arXiv | 2025 | Link |
| Deploying Rapid Damage Assessments from sUAS Imagery for Disaster Response | arXiv | 2025 | Link |
| DermINO: Hybrid Pretraining for a Versatile Dermatology Foundation Model | arXiv | 2025 | Link |
| Design and implementation of a distributed security threat detection system integrating federated learning and multimodal LLM | arXiv | 2025 | Link |
| Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning | arXiv | 2025 | Link |
| Detecting Backdoor Attacks in Federated Learning via Direction Alignment Inspection | arXiv | 2025 | Link |
| Detecting Untargeted Attacks and Mitigating Unreliable Updates in Federated Learning for Underground Mining Operations | arXiv | 2025 | Link |
| Developing a Transferable Federated Network Intrusion Detection System | arXiv | 2025 | Link |
| Development and Real-World Application of Commercial Motor Vehicle Safety Enforcement Dashboards | arXiv | 2025 | Link |
| Dichotomy for orderings? | arXiv | 2025 | Link |
| Differential Privacy as a Perk: Federated Learning over Multiple-Access Fading Channels with a Multi-Antenna Base Station | arXiv | 2025 | Link |
| Differential Privacy-Driven Framework for Enhancing Heart Disease Prediction | arXiv | 2025 | Link |
| Differential privacy for medical deep learning: methods, tradeoffs, and deployment implications | arXiv | 2025 | Link |
| Differentially Private Decentralized Dataset Synthesis Through Randomized Mixing with Correlated Noise | arXiv | 2025 | Link |
| Differentially Private Empirical Cumulative Distribution Functions | arXiv | 2025 | Link |
| Differentially Private Federated $k$-Means Clustering with Server-Side Data | arXiv | 2025 | Link |
| Differentially Private Federated Learning With Time-Adaptive Privacy Spending | arXiv | 2025 | Link |
| Differentially Private Federated Quantum Learning via Quantum Noise | arXiv | 2025 | Link |
| Differentially Private and Federated Structure Learning in Bayesian Networks | arXiv | 2025 | Link |
| Differentially private federated learning for localized control of infectious disease dynamics | arXiv | 2025 | Link |
| Differentially-Private Multi-Tier Federated Learning: A Formal Analysis and Evaluation | arXiv | 2025 | Link |
| Diffusion Model-Based Data Synthesis Aided Federated Semi-Supervised Learning | arXiv | 2025 | Link |
| Diffusion-based Decentralized Federated Multi-Task Representation Learning | arXiv | 2025 | Link |
| Digital Agriculture Sandbox for Collaborative Research | arXiv | 2025 | Link |
| Digital Contact Tracing: Examining the Effects of Understanding and Release Organization on Public Trust | arXiv | 2025 | Link |
| DisSim-FinBERT: Text Simplification for Core Message Extraction in Complex Financial Texts | arXiv | 2025 | Link |
| Discussing Diminishing Returns: A New Scoring System for Powerlifting | arXiv | 2025 | Link |
| Distilling A Universal Expert from Clustered Federated Learning | arXiv | 2025 | Link |
| Distributed Federated Learning for Vehicular Network Security: Anomaly Detection Benefits and Multi-Domain Attack Threats | arXiv | 2025 | Link |
| Distributed Generalized Linear Models: A Privacy-Preserving Approach | arXiv | 2025 | Link |
| Distributed Intrusion Detection in Dynamic Networks of UAVs using Few-Shot Federated Learning | arXiv | 2025 | Link |
| Distributed Multi-Task Learning for Joint Wireless Signal Enhancement and Recognition | arXiv | 2025 | Link |
| Distributed Quasi-Newton Method for Fair and Fast Federated Learning | arXiv | 2025 | Link |
| Distributed Stochastic Optimization under Heavy-Tailed Noise: A Federated Mirror Descent Approach with High Probability Convergence | arXiv | 2025 | Link |
| Distributed U-net model and Image Segmentation for Lung Cancer Detection | arXiv | 2025 | Link |
| Distributed clustering in partially overlapping feature spaces | arXiv | 2025 | Link |
| Distributed optimization: designed for federated learning | arXiv | 2025 | Link |
| Distribution-Aware Mobility-Assisted Decentralized Federated Learning | arXiv | 2025 | Link |
| Distribution-Controlled Client Selection to Improve Federated Learning Strategies | arXiv | 2025 | Link |
| Distribution-Level AirComp for Wireless Federated Learning under Data Scarcity and Heterogeneity | arXiv | 2025 | Link |
| Distributionally Robust Federated Learning with Client Drift Minimization | arXiv | 2025 | Link |
| Distributionally Robust Federated Learning with Outlier Resilience | arXiv | 2025 | Link |
| Distributionally Robust Federated Learning: An ADMM Algorithm | arXiv | 2025 | Link |
| Divide, Conquer and Unite: Hierarchical Style-Recalibrated Prototype Alignment for Federated Medical Segmentation | arXiv | 2025 | Link |
| Do We Really Need to Design New Byzantine-robust Aggregation Rules? | arXiv | 2025 | Link |
| Does FOMC Tone Really Matter? Statistical Evidence from Spectral Graph Network Analysis | arXiv | 2025 | Link |
| Does Medicaid Expansion Lead to Income Adjustment? Evidence from the Survey of Income Program Participation | arXiv | 2025 | Link |
| Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation | arXiv | 2025 | Link |
| Don't Reach for the Stars: Rethinking Topology for Resilient Federated Learning | arXiv | 2025 | Link |
| Double Momentum and Error Feedback for Clipping with Fast Rates and Differential Privacy | arXiv | 2025 | Link |
| Drift-Aware Federated Learning: A Causal Perspective | arXiv | 2025 | Link |
| DroneFL: Federated Learning for Multi-UAV Visual Target Tracking | arXiv | 2025 | Link |
| Dual-Distilled Heterogeneous Federated Learning with Adaptive Margins for Trainable Global Prototypes | arXiv | 2025 | Link |
| DySTop | arXiv | 2025 | Link |
| Dynamic Adaptive Federated Learning for mmWave Sector Selection | arXiv | 2025 | Link |
| Dynamic Allocation Hypernetwork with Adaptive Model Recalibration for FCL | arXiv | 2025 | Link |
| Dynamic Allocation Hypernetwork with Adaptive Model Recalibration for Federated Continual Learning | arXiv | 2025 | Link |
| Dynamic Asset Pricing: Integrating FinBERT-Based Sentiment Quantification with the Fama--French Five-Factor Model | arXiv | 2025 | Link |
| Dynamic Authentication and Granularized Authorization with a Cross-Domain Zero Trust Architecture for Federated Learning in Large-Scale IoT Networks | arXiv | 2025 | Link |
| Dynamic Clustering for Personalized Federated Learning on Heterogeneous Edge Devices | arXiv | 2025 | Link |
| Dynamic Participation in Federated Learning: Benchmarks and a Knowledge Pool Plugin | arXiv | 2025 | Link |
| E-3SFC: Communication-Efficient Federated Learning with Double-way Features Synthesizing | arXiv | 2025 | Link |
| EFU: Enforcing Federated Unlearning via Functional Encryption | arXiv | 2025 | Link |
| EMO: Edge Model Overlays to Scale Model Size in Federated Learning | arXiv | 2025 | Link |
| EPFL-REMNet: Efficient Personalized Federated Digital Twin Towards 6G Heterogeneous Radio Environment | arXiv | 2025 | Link |
| Eco-Friendly AI: Unleashing Data Power for Green Federated Learning | arXiv | 2025 | Link |
| EcoFL: Resource Allocation for Energy-Efficient Federated Learning in Multi-RAT ORAN Networks | arXiv | 2025 | Link |
| EcoLoRA: Communication-Efficient Federated Fine-Tuning of Large Language Models | arXiv | 2025 | Link |
| Edge AI in Highly Volatile Environments: Is Fairness Worth the Accuracy Trade-off? | arXiv | 2025 | Link |
| Edge Artificial Intelligence: A Systematic Review of Evolution, Taxonomic Frameworks, and Future Horizons | arXiv | 2025 | Link |
| Edge Association Strategies for Synthetic Data Empowered Hierarchical Federated Learning with Non-IID Data | arXiv | 2025 | Link |
| Edge-Assisted Collaborative Fine-Tuning for Multi-User Personalized Artificial Intelligence Generated Content (AIGC) | arXiv | 2025 | Link |
| Edge-FIT: Federated Instruction Tuning of Quantized LLMs for Privacy-Preserving Smart Home Environments | arXiv | 2025 | Link |
| Edge-to-Cloud Computations-as-a-Service in Software-Defined Energy Networks for Smart Grids | arXiv | 2025 | Link |
| EdgeAgentX: A Novel Framework for Agentic AI at the Edge in Military Communication Networks | arXiv | 2025 | Link |
| Efficient Asynchronous Federated Evaluation with Strategy Similarity Awareness for Intent-Based Networking in Industrial Internet of Things | arXiv | 2025 | Link |
| Efficient Client Selection in Federated Learning | arXiv | 2025 | Link |
| Efficient Data Valuation Approximation in Federated Learning: A Sampling-based Approach | arXiv | 2025 | Link |
| Efficient Deployment of Large Language Models on Resource-constrained Devices | arXiv | 2025 | Link |
| Efficient Federated Class-Incremental Learning of Pre-Trained Models via Task-agnostic Low-rank Residual Adaptation | arXiv | 2025 | Link |
| Efficient Federated Fine-Tuning of Large Language Models with Layer Dropout | arXiv | 2025 | Link |
| Efficient Federated Learning Tiny Language Models for Mobile Network Feature Prediction | arXiv | 2025 | Link |
| Efficient Federated Learning with Encrypted Data Sharing for Data-Heterogeneous Edge Devices | arXiv | 2025 | Link |
| Efficient Federated Learning with Heterogeneous Data and Adaptive Dropout | arXiv | 2025 | Link |
| Efficient Federated Learning with Timely Update Dissemination | arXiv | 2025 | Link |
| Efficient Federated Search for Retrieval-Augmented Generation | arXiv | 2025 | Link |
| Efficient Privacy-Preserving Cross-Silo Federated Learning with Multi-Key Homomorphic Encryption | arXiv | 2025 | Link |
| Efficient Split Federated Learning for Large Language Models over Communication Networks | arXiv | 2025 | Link |
| Efficient Subsidy Targeting in the Health Insurance Marketplaces | arXiv | 2025 | Link |
| Efficient Training of Large-Scale AI Models Through Federated Mixture-of-Experts: A System-Level Approach | arXiv | 2025 | Link |
| Efficient Transmission of Radiomaps via Physics-Enhanced Semantic Communications | arXiv | 2025 | Link |
| Efficient UAV Swarm-Based Multi-Task Federated Learning with Dynamic Task Knowledge Sharing | arXiv | 2025 | Link |
| Efficient Zero-Order Federated Finetuning of Language Models for Resource-Constrained Devices | arXiv | 2025 | Link |
| Efficient and Privacy-Preserving Binary Dot Product via Multi-Party Computation | arXiv | 2025 | Link |
| Efficient and Scalable Self-Healing Databases Using Meta-Learning and Dependency-Driven Recovery | arXiv | 2025 | Link |
| Efficient recognition algorithms for $(1,2)$-, $(2,1)$- and $(2,2)$-graphs | arXiv | 2025 | Link |
| Elastic Mixture of Rank-Wise Experts for Knowledge Reuse in Federated Fine-Tuning | arXiv | 2025 | Link |
| Electrical Load Forecasting over Multihop Smart Metering Networks with Federated Learning | arXiv | 2025 | Link |
| Embedded Federated Feature Selection with Dynamic Sparse Training: Balancing Accuracy-Cost Tradeoffs | arXiv | 2025 | Link |
| Embedding-Based Federated Data Sharing via Differentially Private Conditional VAEs | arXiv | 2025 | Link |
| Emerging Paradigms for Securing Federated Learning Systems | arXiv | 2025 | Link |
| Emerging Practices in Participatory AI Design in Public Sector Innovation | arXiv | 2025 | Link |
| Empirical Analysis of Asynchronous Federated Learning on Heterogeneous Devices: Efficiency, Fairness, and Privacy Trade-offs | arXiv | 2025 | Link |
| Empirical Analysis of Privacy-Fairness-Accuracy Trade-offs in Federated Learning: A Step Towards Responsible AI | arXiv | 2025 | Link |
| Empowering AI-Native 6G Wireless Networks with Quantum Federated Learning | arXiv | 2025 | Link |
| Empowering Digital Agriculture: A Privacy-Preserving Framework for Data Sharing and Collaborative Research | arXiv | 2025 | Link |
| Empowering Scientific Workflows with Federated Agents | arXiv | 2025 | Link |
| Empowering the Grid: Collaborative Edge Artificial Intelligence for Decentralized Energy Systems | arXiv | 2025 | Link |
| Enabling Data-Driven Policymaking Using Broadband-Plan Querying Tool (BQT+) | arXiv | 2025 | Link |
| Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation | arXiv | 2025 | Link |
| Enabling Trustworthy Federated Learning via Remote Attestation for Mitigating Byzantine Threats | arXiv | 2025 | Link |
| Enabling Weak Client Participation via On-device Knowledge Distillation in Heterogeneous Federated Learning | arXiv | 2025 | Link |
| Enabling the AI Revolution in Healthcare | arXiv | 2025 | Link |
| Encoded Spatial Attribute in Multi-Tier Federated Learning | arXiv | 2025 | Link |
| Encrypted Federated Search Using Homomorphic Encryption | arXiv | 2025 | Link |
| Energy Minimization for Participatory Federated Learning in IoT Analyzed via Game Theory | arXiv | 2025 | Link |
| Energy Profiling of Data-Sharing Pipelines: Modeling, Estimation, and Reuse Strategies | arXiv | 2025 | Link |
| Energy and Memory-Efficient Federated Learning With Ordered Layer Freezing | arXiv | 2025 | Link |
| Energy, Scalability, Data and Security in Massive IoT: Current Landscape and Future Directions | arXiv | 2025 | Link |
| Energy-Efficient Federated Learning and Migration in Digital Twin Edge Networks | arXiv | 2025 | Link |
| Energy-Efficient Federated Learning for AIoT using Clustering Methods | arXiv | 2025 | Link |
| Energy-Efficient Federated Learning for Edge Real-Time Vision via Joint Data, Computation, and Communication Design | arXiv | 2025 | Link |
| Energy-Efficient Federated Learning via Adaptive Encoder Freezing for MRI-to-CT Conversion: A Green AI-Guided Research | arXiv | 2025 | Link |
| Energy-Efficient Federated Learning with Relay-Assisted Aggregation in IIoT Networks | arXiv | 2025 | Link |
| Energy-Efficient Quantized Federated Learning for Resource-constrained IoT devices | arXiv | 2025 | Link |
| Energy-Efficient Split Learning for Resource-Constrained Environments: A Smart Farming Solution | arXiv | 2025 | Link |
| Energy-efficient Federated Learning for UAV Communications | arXiv | 2025 | Link |
| Engage and Mobilize! Understanding Evolving Patterns of Social Media Usage in Emergency Management | arXiv | 2025 | Link |
| Engineering the Future of R&D: The Case for AI-Driven, Integrated Biotechnology Ecosystems | arXiv | 2025 | Link |
| Enhanced Federated Deep Multi-View Clustering under Uncertainty Scenario | arXiv | 2025 | Link |
| Enhancing Air Quality Monitoring: A Brief Review of Federated Learning Advances | arXiv | 2025 | Link |
| Enhancing Communication Efficiency in FL with Adaptive Gradient Quantization and Communication Frequency Optimization | arXiv | 2025 | Link |
| Enhancing Convergence, Privacy and Fairness for Wireless Personalized Federated Learning: Quantization-Assisted Min-Max Fair Scheduling | arXiv | 2025 | Link |
| Enhancing Federated Class-Incremental Learning via Spatial-Temporal Statistics Aggregation | arXiv | 2025 | Link |
| Enhancing Federated Learning Through Secure Cluster-Weighted Client Aggregation | arXiv | 2025 | Link |
| Enhancing Federated Learning with Kolmogorov-Arnold Networks: A Comparative Study Across Diverse Aggregation Strategies | arXiv | 2025 | Link |
| Enhancing Federated Survival Analysis through Peer-Driven Client Reputation in Healthcare | arXiv | 2025 | Link |
| Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning | arXiv | 2025 | Link |
| Enhancing Model Privacy in Federated Learning with Random Masking and Quantization | arXiv | 2025 | Link |
| Enhancing Multi-Camera Gymnast Tracking Through Domain Knowledge Integration | arXiv | 2025 | Link |
| Enhancing Newton-Kaczmarz training of Kolmogorov-Arnold networks through concurrency | arXiv | 2025 | Link |
| Enhancing Privacy Preservation and Reducing Analysis Time with Federated Transfer Learning in Digital Twins-based Computed Tomography Scan Analysis | arXiv | 2025 | Link |
| Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy | arXiv | 2025 | Link |
| Enhancing QoS in Edge Computing through Federated Layering Techniques: A Pathway to Resilient AI Lifelong Learning Systems | arXiv | 2025 | Link |
| Enhancing Quantum Federated Learning with Fisher Information-Based Optimization | arXiv | 2025 | Link |
| Enhancing Smart Farming Through Federated Learning: A Secure, Scalable, and Efficient Approach for AI-Driven Agriculture | arXiv | 2025 | Link |
| Enhancing Split Learning with Sharded and Blockchain-Enabled SplitFed Approaches | arXiv | 2025 | Link |
| Enhancing Vehicular Platooning with Wireless Federated Learning: A Resource-Aware Control Framework | arXiv | 2025 | Link |
| Enhancing Visual Representation with Textual Semantics: Textual Semantics-Powered Prototypes for Heterogeneous Federated Learning | arXiv | 2025 | Link |
| Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data | arXiv | 2025 | Link |
| Enhancing the Effectiveness and Durability of Backdoor Attacks in Federated Learning through Maximizing Task Distinction | arXiv | 2025 | Link |
| Enhancing the Performance of Global Model by Improving the Adaptability of Local Models in Federated Learning | arXiv | 2025 | Link |
| Entente: Cross-silo Intrusion Detection on Network Log Graphs with Federated Learning | arXiv | 2025 | Link |
| Enterprise Data Science Platform: A Unified Architecture for Federated Data Access | arXiv | 2025 | Link |
| Enterprise Profit Prediction Using Multiple Data Sources with Missing Values through Vertical Federated Learning | arXiv | 2025 | Link |
| EoS-FM: Can an Ensemble of Specialist Models act as a Generalist Feature Extractor? | arXiv | 2025 | Link |
| Equitable Federated Learning with NCA | arXiv | 2025 | Link |
| Error Analysis for Over-the-Air Federated Learning under Misaligned and Time-Varying Channels | arXiv | 2025 | Link |
| Establishing Workload Identity for Zero Trust CI/CD: From Secrets to SPIFFE-Based Authentication | arXiv | 2025 | Link |
| Estimating Nationwide High-Dosage Tutoring Expenditures: A Predictive Model Approach | arXiv | 2025 | Link |
| Estimation of Bivariate Normal Distributions from Marginal Summaries in Clinical Trials | arXiv | 2025 | Link |
| Evaluating Adversarial Attacks on Federated Learning for Temperature Forecasting | arXiv | 2025 | Link |
| Evaluating Federated Learning for At-Risk Student Prediction: A Comparative Analysis of Model Complexity and Data Balancing | arXiv | 2025 | Link |
| Evaluating Query Efficiency and Accuracy of Transfer Learning-based Model Extraction Attack in Federated Learning | arXiv | 2025 | Link |
| Evaluating Retrieval Augmented Generative Models for Document Queries in Transportation Safety | arXiv | 2025 | Link |
| Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection | arXiv | 2025 | Link |
| Evaluating the Robustness of Dense Retrievers in Interdisciplinary Domains | arXiv | 2025 | Link |
| Evaluation Framework for Centralized and Decentralized Aggregation Algorithm in Federated Systems | arXiv | 2025 | Link |
| Evaluation of Differential Privacy Mechanisms on Federated Learning | arXiv | 2025 | Link |
| Every Keystroke You Make: A Tech-Law Measurement and Analysis of Event Listeners for Wiretapping | arXiv | 2025 | Link |
| Evidential Trust-Aware Model Personalization in Decentralized Federated Learning for Wearable IoT | arXiv | 2025 | Link |
| Evolving School Transport Electrification: Integrated Dynamic Route Optimization and Partial Charging for Mixed Fleets | arXiv | 2025 | Link |
| Exact and Linear Convergence for Federated Learning under Arbitrary Client Participation is Attainable | arXiv | 2025 | Link |
| Experiences Building Enterprise-Level Privacy-Preserving Federated Learning to Power AI for Science | arXiv | 2025 | Link |
| Experimental Demonstration of Over the Air Federated Learning for Cellular Networks | arXiv | 2025 | Link |
| ExpertGenQA: Open-ended QA generation in Specialized Domains | arXiv | 2025 | Link |
| Explainability and Continual Learning meet Federated Learning at the Network Edge | arXiv | 2025 | Link |
| Explainable Federated Bayesian Causal Inference and Its Application in Advanced Manufacturing | arXiv | 2025 | Link |
| Explainable Federated Learning for U.S. State-Level Financial Distress Modeling | arXiv | 2025 | Link |
| Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning | arXiv | 2025 | Link |
| Exploring Cross-Client Memorization of Training Data in Large Language Models for Federated Learning | arXiv | 2025 | Link |
| Exploring Federated Learning for Thermal Urban Feature Segmentation -- A Comparison of Centralized and Decentralized Approaches | arXiv | 2025 | Link |
| Exploring Federated Pruning for Large Language Models | arXiv | 2025 | Link |
| Exploring Monetary Policy Shocks with Large-Scale Bayesian VARs | arXiv | 2025 | Link |
| Exploring Personalized Federated Learning Architectures for Violence Detection in Surveillance Videos | arXiv | 2025 | Link |
| Exploring the Possibility of TypiClust for Low-Budget Federated Active Learning | arXiv | 2025 | Link |
| Exploring the Use of Predictive Analytics by Austrian Tax Authorities: A Qualitative Study within the Task-Technology Fit Model | arXiv | 2025 | Link |
| Exploropleth: exploratory analysis of data binning methods in choropleth maps | arXiv | 2025 | Link |
| Extra Clients at No Extra Cost: Overcome Data Heterogeneity in Federated Learning with Filter Decomposition | arXiv | 2025 | Link |
| FAA-CLIP: Federated Adversarial Adaptation of CLIP | arXiv | 2025 | Link |
| FAPL-DM-BC: A Secure and Scalable FL Framework with Adaptive Privacy and Dynamic Masking, Blockchain, and XAI for the IoVs | arXiv | 2025 | Link |
| FAST: Federated Active Learning with Foundation Models for Communication-efficient Sampling and Training | arXiv | 2025 | Link |
| FAuNO: Semi-Asynchronous Federated Reinforcement Learning Framework for Task Offloading in Edge Systems | arXiv | 2025 | Link |
| FBFL: A Field-Based Coordination Approach for Data Heterogeneity in Federated Learning | arXiv | 2025 | Link |
| FCPO: Federated Continual Policy Optimization for Real-Time High-Throughput Edge Video Analytics | arXiv | 2025 | Link |
| FDA-Opt: Communication-Efficient Federated Fine-Tuning of Language Models | arXiv | 2025 | Link |
| FDRMFL:Multi-modal Federated Feature Extraction Model Based on Information Maximization and Contrastive Learning | arXiv | 2025 | Link |
| FED-PsyAU: Privacy-Preserving Micro-Expression Recognition via Psychological AU Coordination and Dynamic Facial Motion Modeling | arXiv | 2025 | Link |
| FEDEXCHANGE: Bridging the Domain Gap in Federated Object Detection for Free | arXiv | 2025 | Link |
| FEDTAIL: Federated Long-Tailed Domain Generalization with Sharpness-Guided Gradient Matching | arXiv | 2025 | Link |
| FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge | arXiv | 2025 | Link |
| FHBench: Towards Efficient and Personalized Federated Learning for Multimodal Healthcare | arXiv | 2025 | Link |
| FIDELIS: Blockchain-Enabled Protection Against Poisoning Attacks in Federated Learning | arXiv | 2025 | Link |
| FIRM: Federated Image Reconstruction using Multimodal Tomographic Data | arXiv | 2025 | Link |
| FIRM: Federated In-client Regularized Multi-objective Alignment for Large Language Models | arXiv | 2025 | Link |
| FIRST: Federated Inference Resource Scheduling Toolkit for Scientific AI Model Access | arXiv | 2025 | Link |
| FIVA: Federated Inverse Variance Averaging for Universal CT Segmentation with Uncertainty Estimation | arXiv | 2025 | Link |
| FL-APU: A Software Architecture to Ease Practical Implementation of Cross-Silo Federated Learning | arXiv | 2025 | Link |
| FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning | arXiv | 2025 | Link |
| FL-PLAS: Federated Learning with Partial Layer Aggregation for Backdoor Defense Against High-Ratio Malicious Clients | arXiv | 2025 | Link |
| FLAD: Federated Learning for LLM-based Autonomous Driving in Vehicle-Edge-Cloud Networks | arXiv | 2025 | Link |
| FLAME: A Federated Learning Approach for Multi-Modal RF Fingerprinting | arXiv | 2025 | Link |
| FLAME: A Federated Learning Benchmark for Robotic Manipulation | arXiv | 2025 | Link |
| FLAME: Towards Federated Fine-Tuning Large Language Models Through Adaptive SMoE | arXiv | 2025 | Link |
| FLAMMABLE: A Multi-Model Federated Learning Framework with Multi-Model Engagement and Adaptive Batch Sizes | arXiv | 2025 | Link |
| FLARE: A Wireless Side-Channel Fingerprinting Attack on Federated Learning | arXiv | 2025 | Link |
| FLARE: Adaptive Multi-Dimensional Reputation for Robust Client Reliability in Federated Learning | arXiv | 2025 | Link |
| FLAT: Latent-Driven Arbitrary-Target Backdoor Attacks in Federated Learning | arXiv | 2025 | Link |
| FLAegis: A Two-Layer Defense Framework for Federated Learning Against Poisoning Attacks | arXiv | 2025 | Link |
| FLClear: Visually Verifiable Multi-Client Watermarking for Federated Learning | arXiv | 2025 | Link |
| FLEET: A Federated Learning Emulation and Evaluation Testbed for Holistic Research | arXiv | 2025 | Link |
| FLEKE: Federated Locate-then-Edit Knowledge Editing | arXiv | 2025 | Link |
| FLEX-MoE: Federated Mixture-of-Experts with Load-balanced Expert Assignment | arXiv | 2025 | Link |
| FLEx: Personalized Federated Learning for Mixture-of-Experts LLMs via Expert Grafting | arXiv | 2025 | Link |
| FLIP: Towards Comprehensive and Reliable Evaluation of Federated Prompt Learning | arXiv | 2025 | Link |
| FLOSS: Federated Learning with Opt-Out and Straggler Support | arXiv | 2025 | Link |
| FLSSM: A Federated Learning Storage Security Model with Homomorphic Encryption | arXiv | 2025 | Link |
| FLStore: Efficient Federated Learning Storage for non-training workloads | arXiv | 2025 | Link |
| FLTG: Byzantine-Robust Federated Learning via Angle-Based Defense and Non-IID-Aware Weighting | arXiv | 2025 | Link |
| FLUX: Efficient Descriptor-Driven Clustered Federated Learning under Arbitrary Distribution Shifts | arXiv | 2025 | Link |
| FLoRIST: Singular Value Thresholding for Efficient and Accurate Federated Fine-Tuning of Large Language Models | arXiv | 2025 | Link |
| FLsim: A Modular and Library-Agnostic Simulation Framework for Federated Learning | arXiv | 2025 | Link |
| FMDConv: Fast Multi-Attention Dynamic Convolution via Speed-Accuracy Trade-off | arXiv | 2025 | Link |
| FNBench: Benchmarking Robust Federated Learning against Noisy Labels | arXiv | 2025 | Link |
| FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models | arXiv | 2025 | Link |
| FOGNITE: Federated Learning-Enhanced Fog-Cloud Architecture | arXiv | 2025 | Link |
| FOLC-Net: A Federated-Optimized Lightweight Architecture for Enhanced MRI Disease Diagnosis across Axial, Coronal, and Sagittal Views | arXiv | 2025 | Link |
| FORLA: Federated Object-centric Representation Learning with Slot Attention | arXiv | 2025 | Link |
| FORTA: Byzantine-Resilient FL Aggregation via DFT-Guided Krum | arXiv | 2025 | Link |
| FOVA: Offline Federated Reinforcement Learning with Mixed-Quality Data | arXiv | 2025 | Link |
| FRAIN to Train: A Fast-and-Reliable Solution for Decentralized Federated Learning | arXiv | 2025 | Link |
| FRIEREN: Federated Learning with Vision-Language Regularization for Segmentation | arXiv | 2025 | Link |
| FSL-SAGE: Accelerating Federated Split Learning via Smashed Activation Gradient Estimation | arXiv | 2025 | Link |
| FSSUAVL: A Discriminative Framework using Vision Models for Federated Self-Supervised Audio and Image Understanding | arXiv | 2025 | Link |
| FTA-FTL: A Fine-Tuned Aggregation Federated Transfer Learning Scheme for Lithology Microscopic Image Classification | arXiv | 2025 | Link |
| FTTE: Federated Learning on Resource-Constrained Devices | arXiv | 2025 | Link |
| Fair Federated Medical Image Classification Against Quality Shift via Inter-Client Progressive State Matching | arXiv | 2025 | Link |
| FairEnergy: Contribution-Based Fairness meets Energy Efficiency in Federated Learning | arXiv | 2025 | Link |
| FairEquityFL -- A Fair and Equitable Client Selection in Federated Learning for Heterogeneous IoV Networks | arXiv | 2025 | Link |
| FairFedMed: Benchmarking Group Fairness in Federated Medical Imaging with FairLoRA | arXiv | 2025 | Link |
| FairGFL: Privacy-Preserving Fairness-Aware Federated Learning with Overlapping Subgraphs | arXiv | 2025 | Link |
| Fairness Regularization in Federated Learning | arXiv | 2025 | Link |
| Fairness in Federated Learning: Fairness for Whom? | arXiv | 2025 | Link |
| Fairness in Federated Learning: Trends, Challenges, and Opportunities | arXiv | 2025 | Link |
| Fairness in Graph Learning Augmented with Machine Learning: A Survey | arXiv | 2025 | Link |
| Fairness-Constrained Optimization Attack in Federated Learning | arXiv | 2025 | Link |
| Falafels: A tool for Estimating Federated Learning Energy Consumption via Discrete Simulation | arXiv | 2025 | Link |
| Far From Sight, Far From Mind: Inverse Distance Weighting for Graph Federated Recommendation | arXiv | 2025 | Link |
| Fault-Tolerant Decentralized Distributed Asynchronous Federated Learning with Adaptive Termination Detection | arXiv | 2025 | Link |
| FeDABoost: Fairness Aware Federated Learning with Adaptive Boosting | arXiv | 2025 | Link |
| FeDa4Fair: Client-Level Federated Datasets for Fairness Evaluation | arXiv | 2025 | Link |
| FeDaL: Federated Dataset Learning for Time Series Foundation Models | arXiv | 2025 | Link |
| Feature Distillation is the Better Choice for Model-Heterogeneous Federated Learning | arXiv | 2025 | Link |
| Feature Reconstruction Aided Federated Learning for Image Semantic Communication | arXiv | 2025 | Link |
| Feature-Based Semantics-Aware Scheduling for Energy-Harvesting Federated Learning | arXiv | 2025 | Link |
| Fed MobiLLM: Efficient Federated LLM Fine-Tuning over Heterogeneous Mobile Devices via Server Assisted Side-Tuning | arXiv | 2025 | Link |
| Fed-HeLLo: Efficient Federated Foundation Model Fine-Tuning with Heterogeneous LoRA Allocation | arXiv | 2025 | Link |
| Fed-Joint: Joint Modeling of Nonlinear Degradation Signals and Failure Events for Remaining Useful Life Prediction using Federated Learning | arXiv | 2025 | Link |
| Fed-KAN: Federated Learning with Kolmogorov-Arnold Networks for Traffic Prediction | arXiv | 2025 | Link |
| Fed-Meta-Align: A Similarity-Aware Aggregation and Personalization Pipeline for Federated TinyML on Heterogeneous Data | arXiv | 2025 | Link |
| Fed-NDIF: A Noise-Embedded Federated Diffusion Model For Low-Count Whole-Body PET Denoising | arXiv | 2025 | Link |
| Fed-PELAD: Communication-Efficient Federated Learning for Massive MIMO CSI Feedback with Personalized Encoders and a LoRA-Adapted Shared Decoder | arXiv | 2025 | Link |
| Fed-PISA: Federated Voice Cloning via Personalized Identity-Style Adaptation | arXiv | 2025 | Link |
| Fed-REACT: Federated Representation Learning for Heterogeneous and Evolving Data | arXiv | 2025 | Link |
| Fed-SB: A Silver Bullet for Extreme Communication Efficiency and Performance in (Private) Federated LoRA Fine-Tuning | arXiv | 2025 | Link |
| Fed-SE: Federated Self-Evolution for Privacy-Constrained Multi-Environment LLM Agents | arXiv | 2025 | Link |
| FedABC: Attention-Based Client Selection for Federated Learning with Long-Term View | arXiv | 2025 | Link |
| FedADP: Unified Model Aggregation for Federated Learning with Heterogeneous Model Architectures | arXiv | 2025 | Link |
| FedALT: Federated Fine-Tuning through Adaptive Local Training with Rest-of-World LoRA | arXiv | 2025 | Link |
| FedAPA: Federated Learning with Adaptive Prototype Aggregation Toward Heterogeneous Wi-Fi CSI-based Crowd Counting | arXiv | 2025 | Link |
| FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data | arXiv | 2025 | Link |
| FedAPM: Federated Learning via ADMM with Partial Model Personalization | arXiv | 2025 | Link |
| FedAPT: Federated Adversarial Prompt Tuning for Vision-Language Models | arXiv | 2025 | Link |
| FedAPTA: Federated Multi-task Learning for Heterogeneous Devices with Adaptive Layer-wise Pruning and Task-aware Aggregation | arXiv | 2025 | Link |
| FedAVOT: Exact Distribution Alignment in Federated Learning via Masked Optimal Transport | arXiv | 2025 | Link |
| FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors | arXiv | 2025 | Link |
| FedAdamW: A Communication-Efficient Optimizer with Convergence and Generalization Guarantees for Federated Large Models | arXiv | 2025 | Link |
| FedAgentBench: Towards Automating Real-world Federated Medical Image Analysis with Server-Client LLM Agents | arXiv | 2025 | Link |
| FedAlign: Federated Domain Generalization with Cross-Client Feature Alignment | arXiv | 2025 | Link |
| FedAvgen: Metadata for Model Aggregation In Communication Systems | arXiv | 2025 | Link |
| FedBAP: Backdoor Defense via Benign Adversarial Perturbation in Federated Learning | arXiv | 2025 | Link |
| FedBEns: One-Shot Federated Learning based on Bayesian Ensemble | arXiv | 2025 | Link |
| FedBWO: Enhancing Communication Efficiency in Federated Learning | arXiv | 2025 | Link |
| FedBiF: Communication-Efficient Federated Learning via Bits Freezing | arXiv | 2025 | Link |
| FedBit: Accelerating Privacy-Preserving Federated Learning via Bit-Interleaved Packing and Cross-Layer Co-Design | arXiv | 2025 | Link |
| FedBook: A Unified Federated Graph Foundation Codebook with Intra-domain and Inter-domain Knowledge Modeling | arXiv | 2025 | Link |
| FedCAPrivacy: Privacy-Preserving Heterogeneous Federated Learning with Anonymous Adaptive Clustering | arXiv | 2025 | Link |
| FedCCL: Federated Clustered Continual Learning Framework for Privacy-focused Energy Forecasting | arXiv | 2025 | Link |
| FedCD: A Fairness-aware Federated Cognitive Diagnosis Framework | arXiv | 2025 | Link |
| FedCDC: A Collaborative Framework for Data Consumers in Federated Learning Market | arXiv | 2025 | Link |
| FedCF: Fair Federated Conformal Prediction | arXiv | 2025 | Link |
| FedCGD: Collective Gradient Divergence Optimized Scheduling for Wireless Federated Learning | arXiv | 2025 | Link |
| FedCIA: Federated Collaborative Information Aggregation for Privacy-Preserving Recommendation | arXiv | 2025 | Link |
| FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation | arXiv | 2025 | Link |
| FedCLF -- Towards Efficient Participant Selection for Federated Learning in Heterogeneous IoV Networks | arXiv | 2025 | Link |
| FedCTTA: A Collaborative Approach to Continual Test-Time Adaptation in Federated Learning | arXiv | 2025 | Link |
| FedCVD++: Communication-Efficient Federated Learning for Cardiovascular Risk Prediction with Parametric and Non-Parametric Model Optimization | arXiv | 2025 | Link |
| FedCanon: Non-Convex Composite Federated Learning with Efficient Proximal Operation on Heterogeneous Data | arXiv | 2025 | Link |
| FedChip: Federated LLM for Artificial Intelligence Accelerator Chip Design | arXiv | 2025 | Link |
| FedCoT: Communication-Efficient Federated Reasoning Enhancement for Large Language Models | arXiv | 2025 | Link |
| FedConv: A Learning-on-Model Paradigm for Heterogeneous Federated Clients | arXiv | 2025 | Link |
| FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud | arXiv | 2025 | Link |
| FedCure: Mitigating Participation Bias in Semi-Asynchronous Federated Learning with Non-IID Data | arXiv | 2025 | Link |
| FedDA-TSformer: Federated Domain Adaptation with Vision TimeSformer for Left Ventricle Segmentation on Gated Myocardial Perfusion SPECT Image | arXiv | 2025 | Link |
| FedDAA: Dynamic Client Clustering for Concept Drift Adaptation in Federated Learning | arXiv | 2025 | Link |
| FedDAF: Federated Domain Adaptation Using Model Functional Distance | arXiv | 2025 | Link |
| FedDAG: Federated Domain Adversarial Generation Towards Generalizable Medical Image Analysis | arXiv | 2025 | Link |
| FedDAPL: Toward Client-Private Generalization in Federated Learning | arXiv | 2025 | Link |
| FedDEAP: Adaptive Dual-Prompt Tuning for Multi-Domain Federated Learning | arXiv | 2025 | Link |
| FedDPC : Handling Data Heterogeneity and Partial Client Participation in Federated Learning | arXiv | 2025 | Link |
| FedDPG: An Adaptive Yet Efficient Prompt-tuning Approach in Federated Learning Settings | arXiv | 2025 | Link |
| FedDSR: Federated Deep Supervision and Regularization Towards Autonomous Driving | arXiv | 2025 | Link |
| FedDTRE: Federated Dialogue Generation Models Powered by Trustworthiness Evaluation | arXiv | 2025 | Link |
| FedDifRC: Unlocking the Potential of Text-to-Image Diffusion Models in Heterogeneous Federated Learning | arXiv | 2025 | Link |
| FedDiverse: Tackling Data Heterogeneity in Federated Learning with Diversity-Driven Client Selection | arXiv | 2025 | Link |
| FedDuA: Doubly Adaptive Federated Learning | arXiv | 2025 | Link |
| FedDyMem: Efficient Federated Learning with Dynamic Memory and Memory-Reduce for Unsupervised Image Anomaly Detection | arXiv | 2025 | Link |
| FedEAT: A Robustness Optimization Framework for Federated LLMs | arXiv | 2025 | Link |
| FedEFC: Federated Learning Using Enhanced Forward Correction Against Noisy Labels | arXiv | 2025 | Link |
| FedEFM: Federated Endovascular Foundation Model with Unseen Data | arXiv | 2025 | Link |
| FedEL: Federated Elastic Learning for Heterogeneous Devices | arXiv | 2025 | Link |
| FedEM: A Privacy-Preserving Framework for Concurrent Utility Preservation in Federated Learning | arXiv | 2025 | Link |
| FedEMA: Federated Exponential Moving Averaging with Negative Entropy Regularizer in Autonomous Driving | arXiv | 2025 | Link |
| FedEPA: Enhancing Personalization and Modality Alignment in Multimodal Federated Learning | arXiv | 2025 | Link |
| FedERL: Federated Efficient and Robust Learning for Common Corruptions | arXiv | 2025 | Link |
| FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning | arXiv | 2025 | Link |
| FedFACT: A Provable Framework for Controllable Group-Fairness Calibration in Federated Learning | arXiv | 2025 | Link |
| FedFeat+: A Robust Federated Learning Framework Through Federated Aggregation and Differentially Private Feature-Based Classifier Retraining | arXiv | 2025 | Link |
| FedFetch: Faster Federated Learning with Adaptive Downstream Prefetching | arXiv | 2025 | Link |
| FedFiTS: Fitness-Selected, Slotted Client Scheduling for Trustworthy Federated Learning in Healthcare AI | arXiv | 2025 | Link |
| FedFitTech: A Baseline in Federated Learning for Fitness Tracking | arXiv | 2025 | Link |
| FedFlex: Federated Learning for Diverse Netflix Recommendations | arXiv | 2025 | Link |
| FedFog: Resource-Aware Federated Learning in Edge and Fog Networks | arXiv | 2025 | Link |
| FedFusion: Federated Learning with Diversity- and Cluster-Aware Encoders for Robust Adaptation under Label Scarcity | arXiv | 2025 | Link |
| FedGA-Tree: Federated Decision Tree using Genetic Algorithm | arXiv | 2025 | Link |
| FedGA: A Fair Federated Learning Framework Based on the Gini Coefficient | arXiv | 2025 | Link |
| FedGAI: Federated Style Learning with Cloud-Edge Collaboration for Generative AI in Fashion Design | arXiv | 2025 | Link |
| FedGES: A Federated Learning Approach for BN Structure Learning | arXiv | 2025 | Link |
| FedGIN: Federated Learning with Dynamic Global Intensity Non-linear Augmentation for Organ Segmentation using Multi-modal Images | arXiv | 2025 | Link |
| FedGMR: Federated Learning with Gradual Model Restoration under Asynchrony and Model Heterogeneity | arXiv | 2025 | Link |
| FedGPS: Statistical Rectification Against Data Heterogeneity in Federated Learning | arXiv | 2025 | Link |
| FedGSCA: Medical Federated Learning with Global Sample Selector and Client Adaptive Adjuster under Label Noise | arXiv | 2025 | Link |
| FedGTEA: Federated Class-Incremental Learning with Gaussian Task Embedding and Alignment | arXiv | 2025 | Link |
| FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling | arXiv | 2025 | Link |
| FedGraM: Defending Against Untargeted Attacks in Federated Learning via Embedding Gram Matrix | arXiv | 2025 | Link |
| FedGreed: A Byzantine-Robust Loss-Based Aggregation Method for Federated Learning | arXiv | 2025 | Link |
| FedHC: A Hierarchical Clustered Federated Learning Framework for Satellite Networks | arXiv | 2025 | Link |
| FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs | arXiv | 2025 | Link |
| FedHFT: Efficient Federated Finetuning with Heterogeneous Edge Clients | arXiv | 2025 | Link |
| FedHK-MVFC: Federated Heat Kernel Multi-View Clustering | arXiv | 2025 | Link |
| FedHL: Federated Learning for Heterogeneous Low-Rank Adaptation via Unbiased Aggregation | arXiv | 2025 | Link |
| FedHPD: Heterogeneous Federated Reinforcement Learning via Policy Distillation | arXiv | 2025 | Link |
| FedHQ: Hybrid Runtime Quantization for Federated Learning | arXiv | 2025 | Link |
| FedHUG: Federated Heterogeneous Unsupervised Generalization for Remote Physiological Measurements | arXiv | 2025 | Link |
| FedHiP: Heterogeneity-Invariant Personalized Federated Learning Through Closed-Form Solutions | arXiv | 2025 | Link |
| FedHybrid: Breaking the Memory Wall of Federated Learning via Hybrid Tensor Management | arXiv | 2025 | Link |
| FedIA: Towards Domain-Robust Aggregation in Federated Graph Learning | arXiv | 2025 | Link |
| FedIFL: A federated cross-domain diagnostic framework for motor-driven systems with inconsistent fault modes | arXiv | 2025 | Link |
| FedJam: Multimodal Federated Learning Framework for Jamming Detection | arXiv | 2025 | Link |
| FedKD-hybrid: Federated Hybrid Knowledge Distillation for Lithography Hotspot Detection | arXiv | 2025 | Link |
| FedKLPR: Personalized Federated Learning for Person Re-Identification with Adaptive Pruning | arXiv | 2025 | Link |
| FedL2T: Personalized Federated Learning with Two-Teacher Distillation for Seizure Prediction | arXiv | 2025 | Link |
| FedLAD: A Linear Algebra Based Data Poisoning Defence for Federated Learning | arXiv | 2025 | Link |
| FedLAD: A Modular and Adaptive Testbed for Federated Log Anomaly Detection | arXiv | 2025 | Link |
| FedLAM: Low-latency Wireless Federated Learning via Layer-wise Adaptive Modulation | arXiv | 2025 | Link |
| FedLLM-Align: Feature Extraction From Heterogeneous Clients | arXiv | 2025 | Link |
| FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking | arXiv | 2025 | Link |
| FedLiTeCAN : A Federated Lightweight Transformer for Fast and Robust CAN Bus Intrusion Detection | arXiv | 2025 | Link |
| FedLoDrop: Federated LoRA with Dropout for Generalized LLM Fine-tuning | arXiv | 2025 | Link |
| FedLoRA-Optimizer: Federated LoRA Fine-Tuning with Global and Local Optimization in Heterogeneous Data Scenarios | arXiv | 2025 | Link |
| FedMABench: Benchmarking Mobile Agents on Decentralized Heterogeneous User Data | arXiv | 2025 | Link |
| FedMGP: Personalized Federated Learning with Multi-Group Text-Visual Prompts | arXiv | 2025 | Link |
| FedMHO: Heterogeneous One-Shot Federated Learning Towards Resource-Constrained Edge Devices | arXiv | 2025 | Link |
| FedMLAC: Mutual Learning Driven Heterogeneous Federated Audio Classification | arXiv | 2025 | Link |
| FedMM-X: A Trustworthy and Interpretable Framework for Federated Multi-Modal Learning in Dynamic Environments | arXiv | 2025 | Link |
| FedMMKT:Co-Enhancing a Server Text-to-Image Model and Client Task Models in Multi-Modal Federated Learning | arXiv | 2025 | Link |
| FedMP: Tackling Medical Feature Heterogeneity in Federated Learning from a Manifold Perspective | arXiv | 2025 | Link |
| FedMSGL: A Self-Expressive Hypergraph Based Federated Multi-View Learning | arXiv | 2025 | Link |
| FedMUA: Exploring the Vulnerabilities of Federated Learning to Malicious Unlearning Attacks | arXiv | 2025 | Link |
| FedMVP: Federated Multimodal Visual Prompt Tuning for Vision-Language Models | arXiv | 2025 | Link |
| FedMentalCare: Towards Privacy-Preserving Fine-Tuned LLMs to Analyze Mental Health Status Using Federated Learning Framework | arXiv | 2025 | Link |
| FedMentor: Domain-Aware Differential Privacy for Heterogeneous Federated LLMs in Mental Health | arXiv | 2025 | Link |
| FedMerge: Federated Personalization via Model Merging | arXiv | 2025 | Link |
| FedMicro-IDA: A Federated Learning and Microservices-based Framework for IoT Data Analytics | arXiv | 2025 | Link |
| FedMobile: Enabling Knowledge Contribution-aware Multi-modal Federated Learning with Incomplete Modalities | arXiv | 2025 | Link |
| FedMon: Federated eBPF Monitoring for Distributed Anomaly Detection in Multi-Cluster Cloud Environments | arXiv | 2025 | Link |
| FedMultiEmo: Real-Time Emotion Recognition via Multimodal Federated Learning | arXiv | 2025 | Link |
| FedMuon: Accelerating Federated Learning with Matrix Orthogonalization | arXiv | 2025 | Link |
| FedMuon: Federated Learning with Bias-corrected LMO-based Optimization | arXiv | 2025 | Link |
| FedNAMs: Performing Interpretability Analysis in Federated Learning Context | arXiv | 2025 | Link |
| FedNET: Federated Learning for Proactive Traffic Management and Network Capacity Planning | arXiv | 2025 | Link |
| FedNIA: Noise-Induced Activation Analysis for Mitigating Data Poisoning in FL | arXiv | 2025 | Link |
| FedNano: Toward Lightweight Federated Tuning for Pretrained Multimodal Large Language Models | arXiv | 2025 | Link |
| FedOAED: Federated On-Device Autoencoder Denoiser for Heterogeneous Data under Limited Client Availability | arXiv | 2025 | Link |
| FedOC: Multi-Server FL with Overlapping Client Relays in Wireless Edge Networks | arXiv | 2025 | Link |
| FedORA: Resource Allocation for Federated Learning in ORAN using Radio Intelligent Controllers | arXiv | 2025 | Link |
| FedORGP: Guiding Heterogeneous Federated Learning with Orthogonality Regularization on Global Prototypes | arXiv | 2025 | Link |
| FedOSAA: Improving Federated Learning with One-Step Anderson Acceleration | arXiv | 2025 | Link |
| FedOptimus: Optimizing Vertical Federated Learning for Scalability and Efficiency | arXiv | 2025 | Link |
| FedP$^2$EFT: Federated Learning to Personalize PEFT for Multilingual LLMs | arXiv | 2025 | Link |
| FedP3E: Privacy-Preserving Prototype Exchange for Non-IID IoT Malware Detection in Cross-Silo Federated Learning | arXiv | 2025 | Link |
| FedPCA: Noise-Robust Fair Federated Learning via Performance-Capacity Analysis | arXiv | 2025 | Link |
| FedPM: Federated Learning Using Second-order Optimization with Preconditioned Mixing of Local Parameters | arXiv | 2025 | Link |
| FedPOB: Sample-Efficient Federated Prompt Optimization via Bandits | arXiv | 2025 | Link |
| FedPOD: the deployable units of training for federated learning | arXiv | 2025 | Link |
| FedPPA: Progressive Parameter Alignment for Personalized Federated Learning | arXiv | 2025 | Link |
| FedPURIN: Programmed Update and Reduced INformation for Sparse Personalized Federated Learning | arXiv | 2025 | Link |
| FedPaI: Achieving Extreme Sparsity in Federated Learning via Pruning at Initialization | arXiv | 2025 | Link |
| FedPall: Prototype-based Adversarial and Collaborative Learning for Federated Learning with Feature Drift | arXiv | 2025 | Link |
| FedPalm: A General Federated Learning Framework for Closed- and Open-Set Palmprint Verification | arXiv | 2025 | Link |
| FedPhD: Federated Pruning with Hierarchical Learning of Diffusion Models | arXiv | 2025 | Link |
| FedPoP: Federated Learning Meets Proof of Participation | arXiv | 2025 | Link |
| FedPoisonTTP: A Threat Model and Poisoning Attack for Federated Test-Time Personalization | arXiv | 2025 | Link |
| FedPref: Federated Learning Across Heterogeneous Multi-objective Preferences | arXiv | 2025 | Link |
| FedPromo: Federated Lightweight Proxy Models at the Edge Bring New Domains to Foundation Models | arXiv | 2025 | Link |
| FedQS: Optimizing Gradient and Model Aggregation for Semi-Asynchronous Federated Learning | arXiv | 2025 | Link |
| FedQuad: Adaptive Layer-wise LoRA Deployment and Activation Quantization for Federated Fine-Tuning | arXiv | 2025 | Link |
| FedQuad: Federated Stochastic Quadruplet Learning to Mitigate Data Heterogeneity | arXiv | 2025 | Link |
| FedRAG: A Framework for Fine-Tuning Retrieval-Augmented Generation Systems | arXiv | 2025 | Link |
| FedRAIN-Lite: Federated Reinforcement Algorithms for Improving Idealised Numerical Weather and Climate Models | arXiv | 2025 | Link |
| FedRIR: Rethinking Information Representation in Federated Learning | arXiv | 2025 | Link |
| FedRP: A Communication-Efficient Approach for Differentially Private Federated Learning Using Random Projection | arXiv | 2025 | Link |
| FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA | arXiv | 2025 | Link |
| FedRS-Bench: Realistic Federated Learning Datasets and Benchmarks in Remote Sensing | arXiv | 2025 | Link |
| FedRSClip: Federated Learning for Remote Sensing Scene Classification Using Vision-Language Models | arXiv | 2025 | Link |
| FedRTS: Federated Robust Pruning via Combinatorial Thompson Sampling | arXiv | 2025 | Link |
| FedRW: Efficient Privacy-Preserving Data Reweighting for Enhancing Federated Learning of Language Models | arXiv | 2025 | Link |
| FedReFT: Federated Representation Fine-Tuning with All-But-Me Aggregation | arXiv | 2025 | Link |
| FedRecon: Missing Modality Reconstruction in Heterogeneous Distributed Environments | arXiv | 2025 | Link |
| FedRef: Communication-Efficient Bayesian Fine-Tuning using a Reference Model | arXiv | 2025 | Link |
| FedReplay: A Feature Replay Assisted Federated Transfer Learning Framework for Efficient and Privacy-Preserving Smart Agriculture | arXiv | 2025 | Link |
| FedS2R: One-Shot Federated Domain Generalization for Synthetic-to-Real Semantic Segmentation in Autonomous Driving | arXiv | 2025 | Link |
| FedSA-GCL: A Semi-Asynchronous Federated Graph Learning Framework with Personalized Aggregation and Cluster-Aware Broadcasting | arXiv | 2025 | Link |
| FedSAF: A Federated Learning Framework for Enhanced Gastric Cancer Detection and Privacy Preservation | arXiv | 2025 | Link |
| FedSAUC: A Similarity-Aware Update Control for Communication-Efficient Federated Learning in Edge Computing | arXiv | 2025 | Link |
| FedSCA: Federated Tuning with Similarity-guided Collaborative Aggregation for Heterogeneous Medical Image Segmentation | arXiv | 2025 | Link |
| FedSCAM (Federated Sharpness-Aware Minimization with Clustered Aggregation and Modulation): Scam-resistant SAM for Robust Federated Optimization in Heterogeneous Environments | arXiv | 2025 | Link |
| FedSCAl: Leveraging Server and Client Alignment for Unsupervised Federated Source-Free Domain Adaptation | arXiv | 2025 | Link |
| FedSDAF: Leveraging Source Domain Awareness for Enhanced Federated Domain Generalization | arXiv | 2025 | Link |
| FedSDP: Explainable Differential Privacy in Federated Learning via Shapley Values | arXiv | 2025 | Link |
| FedSDWC: Federated Synergistic Dual-Representation Weak Causal Learning for OOD | arXiv | 2025 | Link |
| FedSEA-LLaMA: A Secure, Efficient and Adaptive Federated Splitting Framework for Large Language Models | arXiv | 2025 | Link |
| FedSGT: Exact Federated Unlearning via Sequential Group-based Training | arXiv | 2025 | Link |
| FedSKC: Federated Learning with Non-IID Data via Structural Knowledge Collaboration | arXiv | 2025 | Link |
| FedSKD: Aggregation-free Model-heterogeneous Federated Learning using Multi-dimensional Similarity Knowledge Distillation | arXiv | 2025 | Link |
| FedSM: Robust Semantics-Guided Feature Mixup for Bias Reduction in Federated Learning with Long-Tail Data | arXiv | 2025 | Link |
| FedSODA: Federated Fine-tuning of LLMs via Similarity Group Pruning and Orchestrated Distillation Alignment | arXiv | 2025 | Link |
| FedSRD: Sparsify-Reconstruct-Decompose for Communication-Efficient Federated Large Language Models Fine-Tuning | arXiv | 2025 | Link |
| FedSSG: Expectation-Gated and History-Aware Drift Alignment for Federated Learning | arXiv | 2025 | Link |
| FedSUM Family: Efficient Federated Learning Methods under Arbitrary Client Participation | arXiv | 2025 | Link |
| FedSV: Byzantine-Robust Federated Learning via Shapley Value | arXiv | 2025 | Link |
| FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRA | arXiv | 2025 | Link |
| FedSWA: Improving Generalization in Federated Learning with Highly Heterogeneous Data via Momentum-Based Stochastic Controlled Weight Averaging | arXiv | 2025 | Link |
| FedSaaS: Class-Consistency Federated Semantic Segmentation via Global Prototype Supervision and Local Adversarial Harmonization | arXiv | 2025 | Link |
| FedSecureFormer: A Fast, Federated and Secure Transformer Framework for Lightweight Intrusion Detection in Connected and Autonomous Vehicles | arXiv | 2025 | Link |
| FedSelect-ME: A Secure Multi-Edge Federated Learning Framework with Adaptive Client Scoring | arXiv | 2025 | Link |
| FedSem: A Resource Allocation Scheme for Federated Learning Assisted Semantic Communication | arXiv | 2025 | Link |
| FedSemiDG: Domain Generalized Federated Semi-supervised Medical Image Segmentation | arXiv | 2025 | Link |
| FedShard: Federated Unlearning with Efficiency Fairness and Performance Fairness | arXiv | 2025 | Link |
| FedSight AI: Multi-Agent System Architecture for Federal Funds Target Rate Prediction | arXiv | 2025 | Link |
| FedSkipTwin: Digital-Twin-Guided Client Skipping for Communication-Efficient Federated Learning | arXiv | 2025 | Link |
| FedSparQ: Adaptive Sparse Quantization with Error Feedback for Robust & Efficient Federated Learning | arXiv | 2025 | Link |
| FedTDP: A Privacy-Preserving and Unified Framework for Trajectory Data Preparation via Federated Learning | arXiv | 2025 | Link |
| FedTeddi: Temporal Drift and Divergence Aware Scheduling for Timely Federated Edge Learning | arXiv | 2025 | Link |
| FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning | arXiv | 2025 | Link |
| FedTilt: Towards Multi-Level Fairness-Preserving and Robust Federated Learning | arXiv | 2025 | Link |
| FedTopo: Topology-Informed Representation Alignment in Federated Learning under Non-I.I.D. Conditions | arXiv | 2025 | Link |
| FedUHD: Unsupervised Federated Learning using Hyperdimensional Computing | arXiv | 2025 | Link |
| FedUNet: A Lightweight Additive U-Net Module for Federated Learning with Heterogeneous Models | arXiv | 2025 | Link |
| FedVLA: Federated Vision-Language-Action Learning with Dual Gating Mixture-of-Experts for Robotic Manipulation | arXiv | 2025 | Link |
| FedVLM: Scalable Personalized Vision-Language Models through Federated Learning | arXiv | 2025 | Link |
| FedVLMBench: Benchmarking Federated Fine-Tuning of Vision-Language Models | arXiv | 2025 | Link |
| FedVSR: Towards Model-Agnostic Federated Learning in Video Super-Resolution | arXiv | 2025 | Link |
| FedVideoMAE: Efficient Privacy-Preserving Federated Video Moderation | arXiv | 2025 | Link |
| FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios | arXiv | 2025 | Link |
| FedWSIDD: Federated Whole Slide Image Classification via Dataset Distillation | arXiv | 2025 | Link |
| FedWSQ: Efficient Federated Learning with Weight Standardization and Distribution-Aware Non-Uniform Quantization | arXiv | 2025 | Link |
| FedWiLoc: Federated Learning for Privacy-Preserving WiFi Indoor Localization | arXiv | 2025 | Link |
| FedX: Adaptive Model Decomposition and Quantization for IoT Federated Learning | arXiv | 2025 | Link |
| FedX: Explanation-Guided Pruning for Communication-Efficient Federated Learning in Remote Sensing | arXiv | 2025 | Link |
| FedeCouple: Fine-Grained Balancing of Global-Generalization and Local-Adaptability in Federated Learning | arXiv | 2025 | Link |
| Federal Reserve Communication and the COVID-19 Pandemic | arXiv | 2025 | Link |
| Federated ADMM from Bayesian Duality | arXiv | 2025 | Link |
| Federated Action Recognition for Smart Worker Assistance Using FastPose | arXiv | 2025 | Link |
| Federated Adapter on Foundation Models: An Out-Of-Distribution Approach | arXiv | 2025 | Link |
| Federated Aggregation of Demand Flexibility | arXiv | 2025 | Link |
| Federated Anomaly Detection and Mitigation for EV Charging Forecasting Under Cyberattacks | arXiv | 2025 | Link |
| Federated Anonymous Blocklisting across Service Providers and its Application to Group Messaging | arXiv | 2025 | Link |
| Federated Attention: A Distributed Paradigm for Collaborative LLM Inference over Edge Networks | arXiv | 2025 | Link |
| Federated Breast Cancer Detection Enhanced by Synthetic Ultrasound Image Augmentation | arXiv | 2025 | Link |
| Federated CLIP for Resource-Efficient Heterogeneous Medical Image Classification | arXiv | 2025 | Link |
| Federated Calculation of the Free-Support Transportation Barycenter by Single-Loop Dual Decomposition | arXiv | 2025 | Link |
| Federated Causal Inference from Multi-Site Observational Data via Propensity Score Aggregation | arXiv | 2025 | Link |
| Federated Causal Inference in Healthcare: Methods, Challenges, and Applications | arXiv | 2025 | Link |
| Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting | arXiv | 2025 | Link |
| Federated Client-tailored Adapter for Medical Image Segmentation | arXiv | 2025 | Link |
| Federated Computation of ROC and PR Curves | arXiv | 2025 | Link |
| Federated Conditional Conformal Prediction via Generative Models | arXiv | 2025 | Link |
| Federated Conformance Checking | arXiv | 2025 | Link |
| Federated Consistency- and Complementarity-aware Consensus-enhanced Recommendation | arXiv | 2025 | Link |
| Federated Continual 3D Segmentation With Single-round Communication | arXiv | 2025 | Link |
| Federated Continual Instruction Tuning | arXiv | 2025 | Link |
| Federated Continual Recommendation | arXiv | 2025 | Link |
| Federated Cross-Domain Click-Through Rate Prediction With Large Language Model Augmentation | arXiv | 2025 | Link |
| Federated Cross-Modal Style-Aware Prompt Generation | arXiv | 2025 | Link |
| Federated Cyber Defense: Privacy-Preserving Ransomware Detection Across Distributed Systems | arXiv | 2025 | Link |
| Federated Data Analytics for Cancer Immunotherapy: A Privacy-Preserving Collaborative Platform for Patient Management | arXiv | 2025 | Link |
| Federated Deep Reinforcement Learning for Energy Efficient Multi-Functional RIS-Assisted Low-Earth Orbit Networks | arXiv | 2025 | Link |
| Federated Deep Reinforcement Learning-Driven O-RAN for Automatic Multirobot Reconfiguration | arXiv | 2025 | Link |
| Federated Detection of Open Charge Point Protocol 1.6 Cyberattacks | arXiv | 2025 | Link |
| Federated Dialogue-Semantic Diffusion for Emotion Recognition under Incomplete Modalities | arXiv | 2025 | Link |
| Federated Digital Twin Construction via Distributed Sensing: A Game-Theoretic Online Optimization with Overlapping Coalitions | arXiv | 2025 | Link |
| Federated Discrete Denoising Diffusion Model for Molecular Generation with OpenFL | arXiv | 2025 | Link |
| Federated Distillation Assisted Vehicle Edge Caching Scheme Based on Lightweight DDPM | arXiv | 2025 | Link |
| Federated Distillation on Edge Devices: Efficient Client-Side Filtering for Non-IID Data | arXiv | 2025 | Link |
| Federated Distributed Key Generation | arXiv | 2025 | Link |
| Federated Domain Generalization with Data-free On-server Matching Gradient | arXiv | 2025 | Link |
| Federated Domain Generalization with Domain-specific Soft Prompts Generation | arXiv | 2025 | Link |
| Federated Domain Generalization with Latent Space Inversion | arXiv | 2025 | Link |
| Federated Dynamic Modeling and Learning for Spatiotemporal Data Forecasting | arXiv | 2025 | Link |
| Federated Edge Learning for Predictive Maintenance in 6G Small Cell Networks | arXiv | 2025 | Link |
| Federated EndoViT: Pretraining Vision Transformers via Federated Learning on Endoscopic Image Collections | arXiv | 2025 | Link |
| Federated Few-Shot Learning for Epileptic Seizure Detection Under Privacy Constraints | arXiv | 2025 | Link |
| Federated Fine-Tuning of LLMs: Framework Comparison and Research Directions | arXiv | 2025 | Link |
| Federated Fine-Tuning of Large Language Models: Kahneman-Tversky vs. Direct Preference Optimization | arXiv | 2025 | Link |
| Federated Fine-Tuning of Sparsely-Activated Large Language Models on Resource-Constrained Devices | arXiv | 2025 | Link |
| Federated Fine-tuning of SAM-Med3D for MRI-based Dementia Classification | arXiv | 2025 | Link |
| Federated Flow Matching | arXiv | 2025 | Link |
| Federated Foundation Model for GI Endoscopy Images | arXiv | 2025 | Link |
| Federated Foundation Models in Harsh Wireless Environments: Prospects, Challenges, and Future Directions | arXiv | 2025 | Link |
| Federated Gaussian Mixture Models | arXiv | 2025 | Link |
| Federated Generalised Variational Inference: A Robust Probabilistic Federated Learning Framework | arXiv | 2025 | Link |
| Federated Granger Causality Learning for Interdependent Clients with State Space Representation | arXiv | 2025 | Link |
| Federated Graph Unlearning | arXiv | 2025 | Link |
| Federated Hierarchical Reinforcement Learning for Adaptive Traffic Signal Control | arXiv | 2025 | Link |
| Federated In-Context Learning: Iterative Refinement for Improved Answer Quality | arXiv | 2025 | Link |
| Federated Incomplete Multi-view Clustering with Globally Fused Graph Guidance | arXiv | 2025 | Link |
| Federated Instrumental Variable Analysis via Federated Generalized Method of Moments | arXiv | 2025 | Link |
| Federated Intelligence: When Large AI Models Meet Federated Fine-Tuning and Collaborative Reasoning at the Network Edge | arXiv | 2025 | Link |
| Federated Intrusion Detection System Based on Unsupervised Machine Learning | arXiv | 2025 | Link |
| Federated Inverse Probability Treatment Weighting for Individual Treatment Effect Estimation | arXiv | 2025 | Link |
| Federated Isolation Forest for Efficient Anomaly Detection on Edge IoT Systems | arXiv | 2025 | Link |
| Federated Item Response Theory Models | arXiv | 2025 | Link |
| Federated Koopman-Reservoir Learning for Large-Scale Multivariate Time-Series Anomaly Detection | arXiv | 2025 | Link |
| Federated Large Language Models: Feasibility, Robustness, Security and Future Directions | arXiv | 2025 | Link |
| Federated Latent Factor Learning for Recovering Wireless Sensor Networks Signal with Privacy-Preserving | arXiv | 2025 | Link |
| Federated Learning Assisted Edge Caching Scheme Based on Lightweight Architecture DDPM | arXiv | 2025 | Link |
| Federated Learning Based Decentralized Adaptive Intelligent Transmission Protocol for Privacy Preserving 6G Networks | arXiv | 2025 | Link |
| Federated Learning Enhanced by Feature Reconstruction for Semantic Communication Module Updates of Agents | arXiv | 2025 | Link |
| Federated Learning Framework for Scalable AI in Heterogeneous HPC and Cloud Environments | arXiv | 2025 | Link |
| Federated Learning Framework via Distributed Mutual Learning | arXiv | 2025 | Link |
| Federated Learning Inspired Fuzzy Systems: Decentralized Rule Updating for Privacy and Scalable Decision Making | arXiv | 2025 | Link |
| Federated Learning Meets Fluid Antenna: Towards Robust and Scalable Edge Intelligence | arXiv | 2025 | Link |
| Federated Learning Over LoRa Networks: Simulator Design and Performance Evaluation | arXiv | 2025 | Link |
| Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC | arXiv | 2025 | Link |
| Federated Learning Survey: A Multi-Level Taxonomy of Aggregation Techniques, Experimental Insights, and Future Frontiers | arXiv | 2025 | Link |
| Federated Learning With Individualized Privacy Through Client Sampling | arXiv | 2025 | Link |
| Federated Learning With L0 Constraint Via Probabilistic Gates For Sparsity | arXiv | 2025 | Link |
| Federated Learning and Trajectory Compression for Enhanced AIS Coverage | arXiv | 2025 | Link |
| Federated Learning based on Self-Evolving Gaussian Clustering | arXiv | 2025 | Link |
| Federated Learning for Anomaly Detection in Energy Consumption Data: Assessing the Vulnerability to Adversarial Attacks | arXiv | 2025 | Link |
| Federated Learning for Anomaly Detection in Maritime Movement Data | arXiv | 2025 | Link |
| Federated Learning for Commercial Image Sources | arXiv | 2025 | Link |
| Federated Learning for Cross-Domain Data Privacy: A Distributed Approach to Secure Collaboration | arXiv | 2025 | Link |
| Federated Learning for Cyber Physical Systems: A Comprehensive Survey | arXiv | 2025 | Link |
| Federated Learning for Deforestation Detection: A Distributed Approach with Satellite Imagery | arXiv | 2025 | Link |
| Federated Learning for Diffusion Models | arXiv | 2025 | Link |
| Federated Learning for Efficient Condition Monitoring and Anomaly Detection in Industrial Cyber-Physical Systems | arXiv | 2025 | Link |
| Federated Learning for Epileptic Seizure Prediction Across Heterogeneous EEG Datasets | arXiv | 2025 | Link |
| Federated Learning for Financial Forecasting | arXiv | 2025 | Link |
| Federated Learning for ICD Classification with Lightweight Models and Pretrained Embeddings | arXiv | 2025 | Link |
| Federated Learning for Large Models in Medical Imaging: A Comprehensive Review | arXiv | 2025 | Link |
| Federated Learning for Large-Scale Cloud Robotic Manipulation: Opportunities and Challenges | arXiv | 2025 | Link |
| Federated Learning for MRI-based BrainAGE: a multicenter study on post-stroke functional outcome prediction | arXiv | 2025 | Link |
| Federated Learning for Medical Image Classification: A Comprehensive Benchmark | arXiv | 2025 | Link |
| Federated Learning for Pediatric Pneumonia Detection: Enabling Collaborative Diagnosis Without Sharing Patient Data | arXiv | 2025 | Link |
| Federated Learning for Predicting Mild Cognitive Impairment to Dementia Conversion | arXiv | 2025 | Link |
| Federated Learning for Privacy-Preserving Feedforward Control in Multi-Agent Systems | arXiv | 2025 | Link |
| Federated Learning for Secure and Efficient Device Activity Detection in mMTC Networks | arXiv | 2025 | Link |
| Federated Learning for Surgical Vision in Appendicitis Classification: Results of the FedSurg EndoVis 2024 Challenge | arXiv | 2025 | Link |
| Federated Learning for Terahertz Wireless Communication | arXiv | 2025 | Link |
| Federated Learning for Video Violence Detection: Complementary Roles of Lightweight CNNs and Vision-Language Models for Energy-Efficient Use | arXiv | 2025 | Link |
| Federated Learning from Molecules to Processes: A Perspective | arXiv | 2025 | Link |
| Federated Learning in Active STARS-Aided Uplink Networks | arXiv | 2025 | Link |
| Federated Learning in NTNs: Design, Architecture and Challenges | arXiv | 2025 | Link |
| Federated Learning in Offline and Online EMG Decoding: A Privacy and Performance Perspective | arXiv | 2025 | Link |
| Federated Learning in the Wild: A Comparative Study for Cybersecurity under Non-IID and Unbalanced Settings | arXiv | 2025 | Link |
| Federated Learning of Low-Rank One-Shot Image Detection Models in Edge Devices with Scalable Accuracy and Compute Complexity | arXiv | 2025 | Link |
| Federated Learning of Quantile Inference under Local Differential Privacy | arXiv | 2025 | Link |
| Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach | arXiv | 2025 | Link |
| Federated Learning on Stochastic Neural Networks | arXiv | 2025 | Link |
| Federated Learning over 5G, WiFi, and Ethernet: Measurements and Evaluation | arXiv | 2025 | Link |
| Federated Learning via Meta-Variational Dropout | arXiv | 2025 | Link |
| Federated Learning with Ad-hoc Adapter Insertions: The Case of Soft-Embeddings for Training Classifier-as-Retriever | arXiv | 2025 | Link |
| Federated Learning with Discriminative Naive Bayes Classifier | arXiv | 2025 | Link |
| Federated Learning with Domain Shift Eraser | arXiv | 2025 | Link |
| Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation | arXiv | 2025 | Link |
| Federated Learning with Feedback Alignment | arXiv | 2025 | Link |
| Federated Learning with Gramian Angular Fields for Privacy-Preserving ECG Classification on Heterogeneous IoT Devices | arXiv | 2025 | Link |
| Federated Learning with Graph-Based Aggregation for Traffic Forecasting | arXiv | 2025 | Link |
| Federated Learning with Heterogeneous and Private Label Sets | arXiv | 2025 | Link |
| Federated Learning with Layer Skipping: Efficient Training of Large Language Models for Healthcare NLP | arXiv | 2025 | Link |
| Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection | arXiv | 2025 | Link |
| Federated Learning with Sample-level Client Drift Mitigation | arXiv | 2025 | Link |
| Federated Learning with Unlabeled Clients: Personalization Can Happen in Low Dimensions | arXiv | 2025 | Link |
| Federated Learning within Global Energy Budget over Heterogeneous Edge Accelerators | arXiv | 2025 | Link |
| Federated Learning-Distillation Alternation for Resource-Constrained IoT | arXiv | 2025 | Link |
| Federated Learning-Driven Cybersecurity Framework for IoT Networks with Privacy-Preserving and Real-Time Threat Detection Capabilities | arXiv | 2025 | Link |
| Federated Learning-Enabled Hybrid Language Models for Communication-Efficient Token Transmission | arXiv | 2025 | Link |
| Federated Learning-Enhanced Blockchain Framework for Privacy-Preserving Intrusion Detection in Industrial IoT | arXiv | 2025 | Link |
| Federated Learning-based MARL for Strengthening Physical-Layer Security in B5G Networks | arXiv | 2025 | Link |
| Federated Learning: A Survey on Privacy-Preserving Collaborative Intelligence | arXiv | 2025 | Link |
| Federated Learning: A new frontier in the exploration of multi-institutional medical imaging data | arXiv | 2025 | Link |
| Federated Learning: From Theory to Practice | arXiv | 2025 | Link |
| Federated Linear Dueling Bandits | arXiv | 2025 | Link |
| Federated Loss Exploration for Improved Convergence on Non-IID Data | arXiv | 2025 | Link |
| Federated Low-Rank Tensor Estimation for Multimodal Image Reconstruction | arXiv | 2025 | Link |
| Federated Majorize-Minimization: Beyond Parameter Aggregation | arXiv | 2025 | Link |
| Federated Markov Imputation: Privacy-Preserving Temporal Imputation in Multi-Centric ICU Environments | arXiv | 2025 | Link |
| Federated Mixture-of-Expert for Non-Overlapped Cross-Domain Sequential Recommendation | arXiv | 2025 | Link |
| Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networks | arXiv | 2025 | Link |
| Federated Multi-Objective Learning with Controlled Pareto Frontiers | arXiv | 2025 | Link |
| Federated Multi-Task Clustering | arXiv | 2025 | Link |
| Federated Multimodal Learning with Dual Adapters and Selective Pruning for Communication and Computational Efficiency | arXiv | 2025 | Link |
| Federated Neural Architecture Search with Model-Agnostic Meta Learning | arXiv | 2025 | Link |
| Federated Neuroevolution O-RAN: Enhancing the Robustness of Deep Reinforcement Learning xApps | arXiv | 2025 | Link |
| Federated Nonlinear System Identification | arXiv | 2025 | Link |
| Federated One-Shot Learning with Data Privacy and Objective-Hiding | arXiv | 2025 | Link |
| Federated Online Learning for Heterogeneous Multisource Streaming Data | arXiv | 2025 | Link |
| Federated Out-of-Distribution Generalization: A Causal Augmentation View | arXiv | 2025 | Link |
| Federated Prototype Graph Learning | arXiv | 2025 | Link |
| Federated Quantum Kernel Learning for Anomaly Detection in Multivariate IoT Time-Series | arXiv | 2025 | Link |
| Federated Quantum Kernel-Based Long Short-term Memory for Human Activity Recognition | arXiv | 2025 | Link |
| Federated Quantum-Train Long Short-Term Memory for Gravitational Wave Signal | arXiv | 2025 | Link |
| Federated Recommender System with Data Valuation for E-commerce Platform | arXiv | 2025 | Link |
| Federated Reinforcement Learning for Runtime Optimization of AI Applications in Smart Eyewears | arXiv | 2025 | Link |
| Federated Reinforcement Learning in Heterogeneous Environments | arXiv | 2025 | Link |
| Federated Retrieval Augmented Generation for Multi-Product Question Answering | arXiv | 2025 | Link |
| Federated Retrieval-Augmented Generation: A Systematic Mapping Study | arXiv | 2025 | Link |
| Federated Self-Supervised Learning for Automatic Modulation Classification under Non-IID and Class-Imbalanced Data | arXiv | 2025 | Link |
| Federated Self-supervised Domain Generalization for Label-efficient Polyp Segmentation | arXiv | 2025 | Link |
| Federated Semantic Learning for Privacy-preserving Cross-domain Recommendation | arXiv | 2025 | Link |
| Federated Sinkhorn | arXiv | 2025 | Link |
| Federated Sketching LoRA: A Flexible Framework for Heterogeneous Collaborative Fine-Tuning of LLMs | arXiv | 2025 | Link |
| Federated Smoothing ADMM for Localization | arXiv | 2025 | Link |
| Federated Spatiotemporal Graph Learning for Passive Attack Detection in Smart Grids | arXiv | 2025 | Link |
| Federated Spectral Graph Transformers Meet Neural Ordinary Differential Equations for Non-IID Graphs | arXiv | 2025 | Link |
| Federated Split Learning for Resource-Constrained Robots in Industrial IoT: Framework Comparison, Optimization Strategies, and Future Directions | arXiv | 2025 | Link |
| Federated Split Learning with Improved Communication and Storage Efficiency | arXiv | 2025 | Link |
| Federated Stochastic Minimax Optimization under Heavy-Tailed Noises | arXiv | 2025 | Link |
| Federated Structured Sparse PCA for Anomaly Detection in IoT Networks | arXiv | 2025 | Link |
| Federated Survival Analysis with Node-Level Differential Privacy: Private Kaplan-Meier Curves | arXiv | 2025 | Link |
| Federated Testing (FedTest): A New Scheme to Enhance Convergence and Mitigate Adversarial Attacks in Federating Learning | arXiv | 2025 | Link |
| Federated Timeline Synthesis: Scalable and Private Methodology For Model Training and Deployment | arXiv | 2025 | Link |
| Federated Unlearning Made Practical: Seamless Integration via Negated Pseudo-Gradients | arXiv | 2025 | Link |
| Federated Unlearning in the Wild: Rethinking Fairness and Data Discrepancy | arXiv | 2025 | Link |
| Federated Unsupervised Semantic Segmentation | arXiv | 2025 | Link |
| Federated Variational Inference for Bayesian Mixture Models | arXiv | 2025 | Link |
| Federated k-Means over Networks | arXiv | 2025 | Link |
| Federated learning framework for collaborative remaining useful life prognostics: an aircraft engine case study | arXiv | 2025 | Link |
| Federated learning in low-resource settings: A chest imaging study in Africa -- Challenges and lessons learned | arXiv | 2025 | Link |
| Federated learning over physical channels: adaptive algorithms with near-optimal guarantees | arXiv | 2025 | Link |
| Federated learning, ethics, and the double black box problem in medical AI | arXiv | 2025 | Link |
| Federated nnU-Net for Privacy-Preserving Medical Image Segmentation | arXiv | 2025 | Link |
| Federated prediction for scalable and privacy-preserved knowledge-based planning in radiotherapy | arXiv | 2025 | Link |
| Federated style aware transformer aggregation of representations | arXiv | 2025 | Link |
| Federated-Continual Dynamic Segmentation of Histopathology guided by Barlow Continuity | arXiv | 2025 | Link |
| Federation of Agents: A Semantics-Aware Communication Fabric for Large-Scale Agentic AI | arXiv | 2025 | Link |
| Federative ischemic stroke segmentation as alternative to overcome domain-shift multi-institution challenges | arXiv | 2025 | Link |
| FediLoRA: Heterogeneous LoRA for Federated Multimodal Fine-tuning under Missing Modalities | arXiv | 2025 | Link |
| Fediverse Sharing: Cross-Platform Interaction Dynamics between Threads and Mastodon Users | arXiv | 2025 | Link |
| FeedSign: Robust Full-parameter Federated Fine-tuning of Large Models with Extremely Low Communication Overhead of One Bit | arXiv | 2025 | Link |
| FetFIDS: A Feature Embedding Attention based Federated Network Intrusion Detection Algorithm | arXiv | 2025 | Link |
| Few-Shot Generation of Brain Tumors for Secure and Fair Data Sharing | arXiv | 2025 | Link |
| Financial Data Analysis with Robust Federated Logistic Regression | arXiv | 2025 | Link |
| Fine-Tuning Federated Learning-Based Intrusion Detection Systems for Transportation IoT | arXiv | 2025 | Link |
| Fine-Tuning Foundation Models with Federated Learning for Privacy Preserving Medical Time Series Forecasting | arXiv | 2025 | Link |
| Fine-tuning Multimodal Transformers on Edge: A Parallel Split Learning Approach | arXiv | 2025 | Link |
| Fingerprinting Deep Learning Models via Network Traffic Patterns in Federated Learning | arXiv | 2025 | Link |
| First Provable Guarantees for Practical Private FL: Beyond Restrictive Assumptions | arXiv | 2025 | Link |
| FitLight: Federated Imitation Learning for Plug-and-Play Autonomous Traffic Signal Control | arXiv | 2025 | Link |
| FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments | arXiv | 2025 | Link |
| Flexible Personalized Split Federated Learning for On-Device Fine-Tuning of Foundation Models | arXiv | 2025 | Link |
| Flexible Threshold Multi-client Functional Encryption for Inner Product in Federated Learning | arXiv | 2025 | Link |
| FloraSyntropy-Net: Scalable Deep Learning with Novel FloraSyntropy Archive for Large-Scale Plant Disease Diagnosis | arXiv | 2025 | Link |
| Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources | arXiv | 2025 | Link |
| Flow of Knowledge: Federated Fine-Tuning of LLMs in Healthcare under Non-IID Conditions | arXiv | 2025 | Link |
| FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models | arXiv | 2025 | Link |
| Fluid Antenna Enabled Over-the-Air Federated Learning: Joint Optimization of Positioning, Beamforming, and User Selection | arXiv | 2025 | Link |
| Fluid Democracy in Federated Data Aggregation | arXiv | 2025 | Link |
| Foam Segmentation in Wastewater Treatment Plants: A Federated Learning Approach with Segment Anything Model 2 | arXiv | 2025 | Link |
| Forgetting Any Data at Any Time: A Theoretically Certified Unlearning Framework for Vertical Federated Learning | arXiv | 2025 | Link |
| Formal Verification of a Generic Algorithm for TDM Communication Over Inter Satellite Links | arXiv | 2025 | Link |
| Foundation Models in Medical Image Analysis: A Systematic Review and Meta-Analysis | arXiv | 2025 | Link |
| Foundational Models and Federated Learning: Survey, Taxonomy, Challenges and Practical Insights | arXiv | 2025 | Link |
| Free Privacy Protection for Wireless Federated Learning: Enjoy It or Suffer from It? | arXiv | 2025 | Link |
| From Centralized to Decentralized Federated Learning: Theoretical Insights, Privacy Preservation, and Robustness Challenges | arXiv | 2025 | Link |
| From Extraterrestrial Microbes to Alien Intelligence: Rebalancing Astronomical Research Priorities | arXiv | 2025 | Link |
| From Federated Learning to X-Learning: Breaking the Barriers of Decentrality Through Random Walks | arXiv | 2025 | Link |
| From Local Patterns to Global Understanding: Cross-Stock Trend Integration for Enhanced Predictive Modeling | arXiv | 2025 | Link |
| From Retinal Pixels to Patients: Evolution of Deep Learning Research in Diabetic Retinopathy Screening | arXiv | 2025 | Link |
| From Risk to Resilience: Towards Assessing and Mitigating the Risk of Data Reconstruction Attacks in Federated Learning | arXiv | 2025 | Link |
| From Static to Adaptive Defense: Federated Multi-Agent Deep Reinforcement Learning-Driven Moving Target Defense Against DoS Attacks in UAV Swarm Networks | arXiv | 2025 | Link |
| From Tiny Machine Learning to Tiny Deep Learning: A Survey | arXiv | 2025 | Link |
| Frugal Federated Learning for Violence Detection: A Comparison of LoRA-Tuned VLMs and Personalized CNNs | arXiv | 2025 | Link |
| Fully Decentralized Certified Unlearning | arXiv | 2025 | Link |
| Fundamental Limits of Hierarchical Secure Aggregation with Cyclic User Association | arXiv | 2025 | Link |
| Fuse and Federate: Enhancing EV Charging Station Security with Multimodal Fusion and Federated Learning | arXiv | 2025 | Link |
| GC-Fed: Gradient Centralized Federated Learning with Partial Client Participation | arXiv | 2025 | Link |
| GCFL: A Gradient Correction-based Federated Learning Framework for Privacy-preserving CPSS | arXiv | 2025 | Link |
| GENE-FL: Gene-Driven Parameter-Efficient Dynamic Federated Learning | arXiv | 2025 | Link |
| GLow -- A Novel, Flower-Based Simulated Gossip Learning Strategy | arXiv | 2025 | Link |
| GShield: Mitigating Poisoning Attacks in Federated Learning | arXiv | 2025 | Link |
| Gains: Fine-grained Federated Domain Adaptation in Open Set | arXiv | 2025 | Link |
| Game-theoretic distributed learning of generative models for heterogeneous data collections | arXiv | 2025 | Link |
| Gaming and Cooperation in Federated Learning: What Can Happen and How to Monitor It | arXiv | 2025 | Link |
| Gap-Dependent Bounds for Federated $Q$-learning | arXiv | 2025 | Link |
| General Multi-User Distributed Computing | arXiv | 2025 | Link |
| Generalizable Federated Learning using Client Adaptive Focal Modulation | arXiv | 2025 | Link |
| Generalization in Federated Learning: A Conditional Mutual Information Framework | arXiv | 2025 | Link |
| Generalized and Personalized Federated Learning with Foundation Models via Orthogonal Transformations | arXiv | 2025 | Link |
| Generative AI for FFRDCs | arXiv | 2025 | Link |
| Generative AI for Strategic Plan Development | arXiv | 2025 | Link |
| Generative Autoregressive Transformers for Model-Agnostic Federated MRI Reconstruction | arXiv | 2025 | Link |
| Generative Federated Learning for Smart Prediction and Recommendation Applications | arXiv | 2025 | Link |
| Generic Algorithm for Universal TDM Communication Over Inter Satellite Links | arXiv | 2025 | Link |
| Genome evolution in an endangered freshwater mussel | arXiv | 2025 | Link |
| Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection | arXiv | 2025 | Link |
| Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning | arXiv | 2025 | Link |
| Geometric Prior-Guided Federated Prompt Calibration | arXiv | 2025 | Link |
| Geometric measures in the dual Brunn-Minkowski theory and their associated Minkowski problems | arXiv | 2025 | Link |
| Geometry-Aligned Differential Privacy for Location-Safe Federated Radio Map Construction | arXiv | 2025 | Link |
| Global Group Fairness in Federated Learning via Function Tracking | arXiv | 2025 | Link |
| Global Intervention and Distillation for Federated Out-of-Distribution Generalization | arXiv | 2025 | Link |
| Global Prompt Refinement with Non-Interfering Attention Masking for One-Shot Federated Learning | arXiv | 2025 | Link |
| Go With The Flow: Churn-Tolerant Decentralized Training of Large Language Models | arXiv | 2025 | Link |
| GovScape: A Public Multimodal Search System for 70 Million Pages of Government PDFs | arXiv | 2025 | Link |
| GraMFedDHAR: Graph Based Multimodal Differentially Private Federated HAR | arXiv | 2025 | Link |
| Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction | arXiv | 2025 | Link |
| Gradient Correction in Federated Learning with Adaptive Optimization | arXiv | 2025 | Link |
| Gradient Projection onto Historical Descent Directions for Communication-Efficient Federated Learning | arXiv | 2025 | Link |
| Gradient Purification: Defense Against Poisoning Attack in Decentralized Federated Learning | arXiv | 2025 | Link |
| GradualDiff-Fed: A Federated Learning Specialized Framework for Large Language Model | arXiv | 2025 | Link |
| Graph Federated Learning Based Proactive Content Caching in Edge Computing | arXiv | 2025 | Link |
| Graph Federated Learning for Personalized Privacy Recommendation | arXiv | 2025 | Link |
| Graph Privacy: A Heterogeneous Federated GNN for Trans-Border Financial Data Circulation | arXiv | 2025 | Link |
| Graph Theory Meets Federated Learning over Satellite Constellations: Spanning Aggregations, Network Formation, and Performance Optimization | arXiv | 2025 | Link |
| Graph-based Gossiping for Communication Efficiency in Decentralized Federated Learning | arXiv | 2025 | Link |
| GraphFedMIG: Tackling Class Imbalance in Federated Graph Learning via Mutual Information-Guided Generation | arXiv | 2025 | Link |
| Grassroots Federation: Fair Democratic Governance at Scale | arXiv | 2025 | Link |
| Grassroots Platforms with Atomic Transactions: Social Networks, Cryptocurrencies, and Democratic Federations | arXiv | 2025 | Link |
| Green Federated Learning via Carbon-Aware Client and Time Slot Scheduling | arXiv | 2025 | Link |
| Green Shields: The Role of ESG in Uncertain Time | arXiv | 2025 | Link |
| GreenDFL: a Framework for Assessing the Sustainability of Decentralized Federated Learning Systems | arXiv | 2025 | Link |
| Ground-Based Radar Tracking of Near-Earth Objects With VLBI Radio Telescopes: 2024 MK Test Case | arXiv | 2025 | Link |
| Guaranteeing Both Consensus and Optimality in Decentralized Nonconvex Optimization with Multiple Local Updates | arXiv | 2025 | Link |
| GuardFed: A Trustworthy Federated Learning Framework Against Dual-Facet Attacks | arXiv | 2025 | Link |
| Guided Model Merging for Hybrid Data Learning: Leveraging Centralized Data to Refine Decentralized Models | arXiv | 2025 | Link |
| H+: An Efficient Similarity-Aware Aggregation for Byzantine Resilient Federated Learning | arXiv | 2025 | Link |
| H-FLTN: A Privacy-Preserving Hierarchical Framework for Electric Vehicle Spatio-Temporal Charge Prediction | arXiv | 2025 | Link |
| H2Tune: Federated Foundation Model Fine-Tuning with Hybrid Heterogeneity | arXiv | 2025 | Link |
| HASFL: Heterogeneity-aware Split Federated Learning over Edge Computing Systems | arXiv | 2025 | Link |
| HASSLE: A Self-Supervised Learning Enhanced Hijacking Attack on Vertical Federated Learning | arXiv | 2025 | Link |
| HEART: Achieving Timely Multi-Model Training for Vehicle-Edge-Cloud-Integrated Hierarchical Federated Learning | arXiv | 2025 | Link |
| HFL-FlowLLM: Large Language Models for Network Traffic Flow Classification in Heterogeneous Federated Learning | arXiv | 2025 | Link |
| HFedATM: Hierarchical Federated Domain Generalization via Optimal Transport and Regularized Mean Aggregation | arXiv | 2025 | Link |
| HFedCKD: Toward Robust Heterogeneous Federated Learning via Data-free Knowledge Distillation and Two-way Contrast | arXiv | 2025 | Link |
| HLF-FSL. A Decentralized Federated Split Learning Solution for IoT on Hyperledger Fabric | arXiv | 2025 | Link |
| HLoRA: Efficient Federated Learning System for LLM Heterogeneous Fine-Tuning | arXiv | 2025 | Link |
| HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models | arXiv | 2025 | Link |
| Hammer and Anvil: A Principled Defense Against Backdoors in Federated Learning | arXiv | 2025 | Link |
| Harmonizing Generalization and Personalization in Ring-topology Decentralized Federated Learning | arXiv | 2025 | Link |
| Harnessing Sparsification in Federated Learning: A Secure, Efficient, and Differentially Private Realization | arXiv | 2025 | Link |
| HealSplit: Towards Self-Healing through Adversarial Distillation in Split Federated Learning | arXiv | 2025 | Link |
| Hear No Evil: Detecting Gradient Leakage by Malicious Servers in Federated Learning | arXiv | 2025 | Link |
| Heat content asymptotics for sets with positive reach | arXiv | 2025 | Link |
| Helmsman: Autonomous Synthesis of Federated Learning Systems via Collaborative LLM Agents | arXiv | 2025 | Link |
| Hetero-SplitEE: Split Learning of Neural Networks with Early Exits for Heterogeneous IoT Devices | arXiv | 2025 | Link |
| Heterogeneity Matters even More in Distributed Learning: Study from Generalization Perspective | arXiv | 2025 | Link |
| Heterogeneity-Aware Client Sampling for Optimal and Efficient Federated Learning | arXiv | 2025 | Link |
| Heterogeneity-Aware Federated Causal Inference Leveraging Effect-Measure Transportability | arXiv | 2025 | Link |
| Heterogeneity-Oblivious Robust Federated Learning | arXiv | 2025 | Link |
| Heterogeneity-aware Personalized Federated Learning via Adaptive Dual-Agent Reinforcement Learning | arXiv | 2025 | Link |
| Heterogeneous Federated Learning System for Sparse Healthcare Time-Series Prediction | arXiv | 2025 | Link |
| Heterogeneous Federated Learning Systems for Time-Series Power Consumption Prediction with Multi-Head Embedding Mechanism | arXiv | 2025 | Link |
| Heterogeneous Federated Learning with Prototype Alignment and Upscaling | arXiv | 2025 | Link |
| Heterogeneous Federated Reinforcement Learning Using Wasserstein Barycenters | arXiv | 2025 | Link |
| Hierarchical Federated Foundation Models over Wireless Networks for Multi-Modal Multi-Task Intelligence: Integration of Edge Learning with D2D/P2P-Enabled Fog Learning Architectures | arXiv | 2025 | Link |
| Hierarchical Federated Graph Attention Networks for Scalable and Resilient UAV Collision Avoidance | arXiv | 2025 | Link |
| Hierarchical Federated Learning for Crop Yield Prediction in Smart Agricultural Production Systems | arXiv | 2025 | Link |
| Hierarchical Federated Learning for Social Network with Mobility | arXiv | 2025 | Link |
| Hierarchical Federated Unlearning for Large Language Models | arXiv | 2025 | Link |
| Hierarchical Knowledge Structuring for Effective Federated Learning in Heterogeneous Environments | arXiv | 2025 | Link |
| High Order Collaboration-Oriented Federated Graph Neural Network for Accurate QoS Prediction | arXiv | 2025 | Link |
| High-Energy Concentration for Federated Learning in Frequency Domain | arXiv | 2025 | Link |
| High-Probability Analysis of Online and Federated Zero-Order Optimisation | arXiv | 2025 | Link |
| Highly Accurate and Diverse Traffic Data: The DeepScenario Open 3D Dataset | arXiv | 2025 | Link |
| Holo-Artisan: A Personalized Multi-User Holographic Experience for Virtual Museums on the Edge Intelligence | arXiv | 2025 | Link |
| Homophily Heterogeneity Matters in Graph Federated Learning: A Spectrum Sharing and Complementing Perspective | arXiv | 2025 | Link |
| Horizontal and Vertical Federated Causal Structure Learning via Higher-order Cumulants | arXiv | 2025 | Link |
| How (Mis)calibrated is Your Federated CLIP and What To Do About It? | arXiv | 2025 | Link |
| How Does Monetary Policy Influence the U.S. Treasury Bond Yields, and What are the Implications for Portfolio Managers? | arXiv | 2025 | Link |
| How Large Language Models Systematically Misrepresent American Climate Opinions | arXiv | 2025 | Link |
| How flexible do we need to be? Using electricity systems models to identify optimal designs for flexible carbon capture storage system for gas-fired power plants | arXiv | 2025 | Link |
| How many federal employees are not satisfied? Using response times to estimate population proportions under the survey variable cause model | arXiv | 2025 | Link |
| How to Evaluate Participant Contributions in Decentralized Federated Learning | arXiv | 2025 | Link |
| HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark | arXiv | 2025 | Link |
| Hubs and Spokes Learning: Efficient and Scalable Collaborative Machine Learning | arXiv | 2025 | Link |
| HyFedRAG: A Federated Retrieval-Augmented Generation Framework for Heterogeneous and Privacy-Sensitive Data | arXiv | 2025 | Link |
| HyProv: Hybrid Provenance Management for Scientific Workflows | arXiv | 2025 | Link |
| Hybrid Batch Normalisation: Resolving the Dilemma of Batch Normalisation in Federated Learning | arXiv | 2025 | Link |
| Hybrid Deep Learning-Federated Learning Powered Intrusion Detection System for IoT/5G Advanced Edge Computing Network | arXiv | 2025 | Link |
| Hybrid Quantum-Classical Mixture of Experts: Unlocking Topological Advantage via Interference-Based Routing | arXiv | 2025 | Link |
| Hybrid Reputation Aggregation: A Robust Defense Mechanism for Adversarial Federated Learning in 5G and Edge Network Environments | arXiv | 2025 | Link |
| HybridVFL: Disentangled Feature Learning for Edge-Enabled Vertical Federated Multimodal Classification | arXiv | 2025 | Link |
| Hyper-modal Imputation Diffusion Embedding with Dual-Distillation for Federated Multimodal Knowledge Graph Completion | arXiv | 2025 | Link |
| Hypernetworks for Model-Heterogeneous Personalized Federated Learning | arXiv | 2025 | Link |
| I Can't Share Code, but I need Translation -- An Empirical Study on Code Translation through Federated LLM | arXiv | 2025 | Link |
| I-ETL: an interoperability-aware health (meta) data pipeline to enable federated analyses | arXiv | 2025 | Link |
| ICAFS: Inter-Client-Aware Feature Selection for Vertical Federated Learning | arXiv | 2025 | Link |
| ILoRA: Federated Learning with Low-Rank Adaptation for Heterogeneous Client Aggregation | arXiv | 2025 | Link |
| INSIGHT: A Survey of In-Network Systems for Intelligent, High-Efficiency AI and Topology Optimization | arXiv | 2025 | Link |
| IPBA: Imperceptible Perturbation Backdoor Attack in Federated Self-Supervised Learning | arXiv | 2025 | Link |
| Image-Guided Surgery: Technology, Quality, Innovation, and Opportunities for Medical Physics | arXiv | 2025 | Link |
| Impact of Labeling Inaccuracy and Image Noise on Tooth Segmentation in Panoramic Radiographs using Federated, Centralized and Local Learning | arXiv | 2025 | Link |
| Impacto de Treinamento em Programação Competitiva no Ensino Médio: Resultados e Desafios | arXiv | 2025 | Link |
| Impacts of EPA's Finalized Power Plant Greenhouse Gas Standards | arXiv | 2025 | Link |
| Implicit Federated In-context Learning For Task-Specific LLM Fine-Tuning | arXiv | 2025 | Link |
| Improving $(α, f)$-Byzantine Resilience in Federated Learning via layerwise aggregation and cosine distance | arXiv | 2025 | Link |
| Improving Convergence for Semi-Federated Learning: An Energy-Efficient Approach by Manipulating Over-the-Air Distortion | arXiv | 2025 | Link |
| Improving Early Sepsis Onset Prediction Through Federated Learning | arXiv | 2025 | Link |
| Improving Efficiency in Federated Learning with Optimized Homomorphic Encryption | arXiv | 2025 | Link |
| Improving Generalization in Heterogeneous Federated Continual Learning via Spatio-Temporal Gradient Matching with Prototypical Coreset | arXiv | 2025 | Link |
| Improving Learning of New Diseases through Knowledge-Enhanced Initialization for Federated Adapter Tuning | arXiv | 2025 | Link |
| Improving Wireless Federated Learning via Joint Downlink-Uplink Beamforming over Analog Transmission | arXiv | 2025 | Link |
| Imputation Strategies for Rightcensored Wages in Longitudinal Datasets | arXiv | 2025 | Link |
| In-between Transatlantic (Monetary) Disturbances | arXiv | 2025 | Link |
| InFL-UX: A Toolkit for Web-Based Interactive Federated Learning | arXiv | 2025 | Link |
| Incentive Analysis for Agent Participation in Federated Learning | arXiv | 2025 | Link |
| Incentive-Based Federated Learning: Architectural Elements and Future Directions | arXiv | 2025 | Link |
| Incentive-Compatible Federated Learning with Stackelberg Game Modeling | arXiv | 2025 | Link |
| Incentives in Federated Learning with Heterogeneous Agents | arXiv | 2025 | Link |
| Incentivize Contribution and Learn Parameters Too: Federated Learning with Strategic Data Owners | arXiv | 2025 | Link |
| Incentivizing High-quality Participation From Federated Learning Agents | arXiv | 2025 | Link |
| Incentivizing Inclusive Contributions in Model Sharing Markets | arXiv | 2025 | Link |
| Incentivizing Multi-Tenant Split Federated Learning for Foundation Models at the Network Edge | arXiv | 2025 | Link |
| Inclusive, Differentially Private Federated Learning for Clinical Data | arXiv | 2025 | Link |
| Indoor Sharing in the Mid-Band: A Performance Study of Neutral-Host, Cellular Macro, and Wi-Fi | arXiv | 2025 | Link |
| Indoor/Outdoor Spectrum Sharing Enabled by GNSS-based Classifiers | arXiv | 2025 | Link |
| Information Efficiency of Scientific Automation | arXiv | 2025 | Link |
| Information-Theoretic Decentralized Secure Aggregation with Collusion Resilience | arXiv | 2025 | Link |
| Initialization Matters: Unraveling the Impact of Pre-Training on Federated Learning | arXiv | 2025 | Link |
| Insights into the Unknown: Federated Data Diversity Analysis on Molecular Data | arXiv | 2025 | Link |
| Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning | arXiv | 2025 | Link |
| Integrated user scheduling and beam steering in over-the-air federated learning for mobile IoT | arXiv | 2025 | Link |
| Integrating Asynchronous AdaBoost into Federated Learning: Five Real World Applications | arXiv | 2025 | Link |
| Integrating Feature Attention and Temporal Modeling for Collaborative Financial Risk Assessment | arXiv | 2025 | Link |
| Integrating Identity-Based Identification against Adaptive Adversaries in Federated Learning | arXiv | 2025 | Link |
| Integrating Personalized Federated Learning with Control Systems for Enhanced Performance | arXiv | 2025 | Link |
| Intelligent Adaptive Federated Byzantine Agreement for Robust Blockchain Consensus | arXiv | 2025 | Link |
| Intelligent Healthcare Ecosystems: Optimizing the Iron Triangle of Healthcare (Access, Cost, Quality) | arXiv | 2025 | Link |
| Intelligent Travel Activity Monitoring: Generalized Distributed Acoustic Sensing Approaches | arXiv | 2025 | Link |
| Interaction-Aware Gaussian Weighting for Clustered Federated Learning | arXiv | 2025 | Link |
| Interpreting Fedspeak with Confidence: A LLM-Based Uncertainty-Aware Framework Guided by Monetary Policy Transmission Paths | arXiv | 2025 | Link |
| Intrinsic Training Signals for Federated Learning Aggregation | arXiv | 2025 | Link |
| Invariant Federated Learning for Edge Intelligence: Mitigating Heterogeneity and Asynchrony via Exit Strategy and Invariant Penalty | arXiv | 2025 | Link |
| IslandRun: Privacy-Aware Multi-Objective Orchestration for Distributed AI Inference | arXiv | 2025 | Link |
| Joint Graph Estimation and Signal Restoration for Robust Federated Learning | arXiv | 2025 | Link |
| Joint Sensing, Communication, and Computation for Vertical Federated Edge Learning in Edge Perception Network | arXiv | 2025 | Link |
| JurisTCU: A Brazilian Portuguese Information Retrieval Dataset with Query Relevance Judgments | arXiv | 2025 | Link |
| Keeping in Place After the Storm-Emergency Assistance and Evictions | arXiv | 2025 | Link |
| Knowledge Adaptation as Posterior Correction | arXiv | 2025 | Link |
| Knowledge-Driven Federated Graph Learning on Model Heterogeneity | arXiv | 2025 | Link |
| Krum Federated Chain (KFC): Using blockchain to defend against adversarial attacks in Federated Learning | arXiv | 2025 | Link |
| Kuramoto-FedAvg: Using Synchronization Dynamics to Improve Federated Learning Optimization under Statistical Heterogeneity | arXiv | 2025 | Link |
| LAFA: Agentic LLM-Driven Federated Analytics over Decentralized Data Sources | arXiv | 2025 | Link |
| LATTEO: A Framework to Support Learning Asynchronously Tempered with Trusted Execution and Obfuscation | arXiv | 2025 | Link |
| LCFed: An Efficient Clustered Federated Learning Framework for Heterogeneous Data | arXiv | 2025 | Link |
| LLM Economist: Large Population Models and Mechanism Design in Multi-Agent Generative Simulacra | arXiv | 2025 | Link |
| LLM-Empowered IoT for 6G Networks: Architecture, Challenges, and Solutions | arXiv | 2025 | Link |
| LLM-Guided Dynamic-UMAP for Personalized Federated Graph Learning | arXiv | 2025 | Link |
| LLM-Prior: A Framework for Knowledge-Driven Prior Elicitation and Aggregation | arXiv | 2025 | Link |
| LLM-QFL: Distilling Large Language Model for Quantum Federated Learning | arXiv | 2025 | Link |
| LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning | arXiv | 2025 | Link |
| LLMs meet Federated Learning for Scalable and Secure IoT Management | arXiv | 2025 | Link |
| Label Leakage in Federated Inertial-based Human Activity Recognition | arXiv | 2025 | Link |
| Label-shift robust federated feature screening for high-dimensional classification | arXiv | 2025 | Link |
| Large Language Models Can Be a Viable Substitute for Expert Political Surveys When a Shock Disrupts Traditional Measurement Approaches | arXiv | 2025 | Link |
| Large Language Models Transform Organic Synthesis From Reaction Prediction to Automation | arXiv | 2025 | Link |
| Large-Small Model Collaborative Framework for Federated Continual Learning | arXiv | 2025 | Link |
| Latency Optimization for Wireless Federated Learning in Multihop Networks | arXiv | 2025 | Link |
| Latency-aware Multimodal Federated Learning over UAV Networks | arXiv | 2025 | Link |
| Latte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning | arXiv | 2025 | Link |
| Layer-wise Update Aggregation with Recycling for Communication-Efficient Federated Learning | arXiv | 2025 | Link |
| Layered, Overlapping, and Inconsistent: A Large-Scale Analysis of the Multiple Privacy Policies and Controls of U.S. Banks | arXiv | 2025 | Link |
| Layerwise Federated Learning for Heterogeneous Quantum Clients using Quorus | arXiv | 2025 | Link |
| Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data | arXiv | 2025 | Link |
| Learn to Preserve Personality: Federated Foundation Models in Recommendations | arXiv | 2025 | Link |
| Learned Digital Codes for Over-the-Air Computation in Federated Edge Learning | arXiv | 2025 | Link |
| Learned Digital Codes for Over-the-Air Federated Learning | arXiv | 2025 | Link |
| Learning Critically: Selective Self Distillation in Federated Learning on Non-IID Data | arXiv | 2025 | Link |
| Learning Heterogeneous Performance-Fairness Trade-offs in Federated Learning | arXiv | 2025 | Link |
| Learning Like Humans: Resource-Efficient Federated Fine-Tuning through Cognitive Developmental Stages | arXiv | 2025 | Link |
| Learning Reconfigurable Representations for Multimodal Federated Learning with Missing Data | arXiv | 2025 | Link |
| Learning and Generalization with Mixture Data | arXiv | 2025 | Link |
| Learning from sanctioned government suppliers: A machine learning and network science approach to detecting fraud and corruption in Mexico | arXiv | 2025 | Link |
| Learning to Collaborate Over Graphs: A Selective Federated Multi-Task Learning Approach | arXiv | 2025 | Link |
| Learning-Enabled Elastic Network Topology for Distributed ISAC Service Provisioning | arXiv | 2025 | Link |
| Learning-based GNSS Uncertainty Quantification using Continuous-Time Factor Graph Optimization | arXiv | 2025 | Link |
| Legal Knowledge Graph Foundations, Part I: URI-Addressable Abstract Works (LRMoo F1 to schema.org) | arXiv | 2025 | Link |
| LegionITS: A Federated Intrusion-Tolerant System Architecture | arXiv | 2025 | Link |
| Let the Tree Decide: FABART A Non-Parametric Factor Model | arXiv | 2025 | Link |
| Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises | arXiv | 2025 | Link |
| Leveraging Optimal Transport for Distributed Two-Sample Testing: An Integrated Transportation Distance-based Framework | arXiv | 2025 | Link |
| Leveraging Randomness in Model and Data Partitioning for Privacy Amplification | arXiv | 2025 | Link |
| Leveraging the Global Research Infrastructure to Characterize the Impact of National Science Foundation Research | arXiv | 2025 | Link |
| LexTime: A Benchmark for Temporal Ordering of Legal Events | arXiv | 2025 | Link |
| LiFeChain: Lightweight Blockchain for Secure and Efficient Federated Lifelong Learning in IoT | arXiv | 2025 | Link |
| Lightweight Federated Learning in Mobile Edge Computing with Statistical and Device Heterogeneity Awareness | arXiv | 2025 | Link |
| Lightweight Federated Learning over Wireless Edge Networks | arXiv | 2025 | Link |
| Lightweight MobileNetV1+GRU for ECG Biometric Authentication: Federated and Adversarial Evaluation | arXiv | 2025 | Link |
| Lightweight Temporal Transformer Decomposition for Federated Autonomous Driving | arXiv | 2025 | Link |
| Lightweight and Robust Federated Data Valuation | arXiv | 2025 | Link |
| Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds | arXiv | 2025 | Link |
| LiteChain: A Lightweight Blockchain for Verifiable and Scalable Federated Learning in Massive Edge Networks | arXiv | 2025 | Link |
| LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning | arXiv | 2025 | Link |
| Load-Aware Training Scheduling for Model Circulation-based Decentralized Federated Learning | arXiv | 2025 | Link |
| Local Data Quantity-Aware Weighted Averaging for Federated Learning with Dishonest Clients | arXiv | 2025 | Link |
| Local Differential Privacy for Federated Learning with Fixed Memory Usage and Per-Client Privacy | arXiv | 2025 | Link |
| Local K-Similarity Constraint for Federated Learning with Label Noise | arXiv | 2025 | Link |
| Local Pan-Privacy for Federated Analytics | arXiv | 2025 | Link |
| Local Performance vs. Out-of-Distribution Generalization: An Empirical Analysis of Personalized Federated Learning in Heterogeneous Data Environments | arXiv | 2025 | Link |
| Local SGD and Federated Averaging Through the Lens of Time Complexity | arXiv | 2025 | Link |
| Local US officials' views on the impacts and governance of AI: Evidence from 2022 and 2023 survey waves | arXiv | 2025 | Link |
| Long-Term Client Selection for Federated Learning with Non-IID Data: A Truthful Auction Approach | arXiv | 2025 | Link |
| Look Back for More: Harnessing Historical Sequential Updates for Personalized Federated Adapter Tuning | arXiv | 2025 | Link |
| Lossless Privacy-Preserving Aggregation for Decentralized Federated Learning | arXiv | 2025 | Link |
| Lost in Siting: The Hidden Carbon Cost of Inequitable Residential Solar Installations | arXiv | 2025 | Link |
| MAB-Based Channel Scheduling for Asynchronous Federated Learning in Non-Stationary Environments | arXiv | 2025 | Link |
| MAR-FL: A Communication Efficient Peer-to-Peer Federated Learning System | arXiv | 2025 | Link |
| MARS: A Malignity-Aware Backdoor Defense in Federated Learning | arXiv | 2025 | Link |
| MAUI: Reconstructing Private Client Data in Federated Transfer Learning | arXiv | 2025 | Link |
| MDiffFR: Modality-Guided Diffusion Generation for Cold-start Items in Federated Recommendation | arXiv | 2025 | Link |
| MHARFedLLM: Multimodal Human Activity Recognition Using Federated Large Language Model | arXiv | 2025 | Link |
| ML Mule: Mobile-Driven Context-Aware Collaborative Learning | arXiv | 2025 | Link |
| MTF-Grasp: A Multi-tier Federated Learning Approach for Robotic Grasping | arXiv | 2025 | Link |
| Machine Learning for Medicine Must Be Interpretable, Shareable, Reproducible and Accountable by Design | arXiv | 2025 | Link |
| Machine Learning-Based Analysis of ECG and PCG Signals for Rheumatic Heart Disease Detection: A Scoping Review (2015-2025) | arXiv | 2025 | Link |
| Mage: Cracking Elliptic Curve Cryptography with Cross-Axis Transformers | arXiv | 2025 | Link |
| Making Tennis Fairer: The Grand Tiebreaker | arXiv | 2025 | Link |
| Managing Federated Learning on Decentralized Infrastructures as a Reputation-based Collaborative Workflow | arXiv | 2025 | Link |
| Many-Task Federated Fine-Tuning via Unified Task Vectors | arXiv | 2025 | Link |
| Mapping the Intersection of Research and Policy in Centers for Medicare National Coverage Decision Memos | arXiv | 2025 | Link |
| Measuring Communication Quality of Interest Rate Announcements | arXiv | 2025 | Link |
| Measuring Heterogeneity in Machine Learning with Distributed Energy Distance | arXiv | 2025 | Link |
| Measuring the dynamical evolution of the United States lobbying network | arXiv | 2025 | Link |
| Mechanistic Analysis of Circuit Preservation in Federated Learning | arXiv | 2025 | Link |
| MedAlign: A Synergistic Framework of Multimodal Preference Optimization and Federated Meta-Cognitive Reasoning | arXiv | 2025 | Link |
| MedFedPure: A Medical Federated Framework with MAE-based Detection and Diffusion Purification for Inference-Time Attacks | arXiv | 2025 | Link |
| MedHE: Communication-Efficient Privacy-Preserving Federated Learning with Adaptive Gradient Sparsification for Healthcare | arXiv | 2025 | Link |
| MedSegNet10: A Publicly Accessible Network Repository for Split Federated Medical Image Segmentation | arXiv | 2025 | Link |
| Memory-Efficient Federated Fine-Tuning of Large Language Models via Layer Pruning | arXiv | 2025 | Link |
| Memory-Efficient Split Federated Learning for LLM Fine-Tuning on Heterogeneous Mobile Devices | arXiv | 2025 | Link |
| Merging public elementary schools to reduce racial/ethnic segregation | arXiv | 2025 | Link |
| Meta-Computing Enhanced Federated Learning in IIoT: Satisfaction-Aware Incentive Scheme via DRL-Based Stackelberg Game | arXiv | 2025 | Link |
| Meta-Federated Learning: A Novel Approach for Real-Time Traffic Flow Management | arXiv | 2025 | Link |
| MetaFed: Advancing Privacy, Performance, and Sustainability in Federated Metaverse Systems | arXiv | 2025 | Link |
| Microsecond Federated SVD on Grassmann Manifold for Real-time IoT Intrusion Detection | arXiv | 2025 | Link |
| Mind the Gap: Confidence Discrepancy Can Guide Federated Semi-Supervised Learning Across Pseudo-Mismatch | arXiv | 2025 | Link |
| Mingling with the Good to Backdoor Federated Learning | arXiv | 2025 | Link |
| Minimizing Layerwise Activation Norm Improves Generalization in Federated Learning | arXiv | 2025 | Link |
| Mist-Assisted Federated Learning for Intrusion Detection in Heterogeneous IoT Networks | arXiv | 2025 | Link |
| Mitigating Catastrophic Forgetting with Adaptive Transformer Block Expansion in Federated Fine-Tuning | arXiv | 2025 | Link |
| Mitigating Domain Shift in Federated Learning via Intra- and Inter-Domain Prototypes | arXiv | 2025 | Link |
| Mitigating Group-Level Fairness Disparities in Federated Visual Language Models | arXiv | 2025 | Link |
| Mitigating Modality Quantity and Quality Imbalance in Multimodal Online Federated Learning | arXiv | 2025 | Link |
| Mitigating Non-IID Drift in Zeroth-Order Federated LLM Fine-Tuning with Transferable Sparsity | arXiv | 2025 | Link |
| Mitigating Participation Imbalance Bias in Asynchronous Federated Learning | arXiv | 2025 | Link |
| Mitigating Persistent Client Dropout in Asynchronous Decentralized Federated Learning | arXiv | 2025 | Link |
| Mitigating Resolution-Drift in Federated Learning: Case of Keypoint Detection | arXiv | 2025 | Link |
| Mitigating Unintended Memorization with LoRA in Federated Learning for LLMs | arXiv | 2025 | Link |
| Mix-modal Federated Learning for MRI Image Segmentation | arXiv | 2025 | Link |
| MobileA3gent: Training Mobile GUI Agents Using Decentralized Self-Sourced Data from Diverse Users | arXiv | 2025 | Link |
| Mobility-Assisted Decentralized Federated Learning: Convergence Analysis and A Data-Driven Approach | arXiv | 2025 | Link |
| Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification | arXiv | 2025 | Link |
| Mobility-Aware Decentralized Federated Learning with Joint Optimization of Local Iteration and Leader Selection for Vehicular Networks | arXiv | 2025 | Link |
| Mobility-Aware Multi-Task Decentralized Federated Learning for Vehicular Networks: Modeling, Analysis, and Optimization | arXiv | 2025 | Link |
| ModShift: Model Privacy via Designed Shifts | arXiv | 2025 | Link |
| Model Splitting Enhanced Communication-Efficient Federated Learning for CSI Feedback | arXiv | 2025 | Link |
| ModeliHub: A Web-based, Federated Analytics Platform for Modelica-centric, Model-based Systems Engineering | arXiv | 2025 | Link |
| Modeling COVID-19 Dynamics in German States Using Physics-Informed Neural Networks | arXiv | 2025 | Link |
| Modeling Hawkish-Dovish Latent Beliefs in Multi-Agent Debate-Based LLMs for Monetary Policy Decision Classification | arXiv | 2025 | Link |
| Modeling in the Design Multiverse | arXiv | 2025 | Link |
| Modelling the Spatially Varying Non-Linear Effects of Heat Exposure | arXiv | 2025 | Link |
| Modular Federated Learning: A Meta-Framework Perspective | arXiv | 2025 | Link |
| Mosaic: Data-Free Knowledge Distillation via Mixture-of-Experts for Heterogeneous Distributed Environments | arXiv | 2025 | Link |
| Moss: Proxy Model-based Full-Weight Aggregation in Federated Learning with Heterogeneous Models | arXiv | 2025 | Link |
| Movable Antenna Enhanced Federated Fine-Tuning of Large Language Models via Hybrid Client Selection Optimization | arXiv | 2025 | Link |
| Multi Camera Connected Vision System with Multi View Analytics: A Comprehensive Survey | arXiv | 2025 | Link |
| Multi-Agent Framework for Threat Mitigation and Resilience in AI-Based Systems | arXiv | 2025 | Link |
| Multi-Agent Reinforcement Learning for Graph Discovery in D2D-Enabled Federated Learning | arXiv | 2025 | Link |
| Multi-Frequency Federated Learning for Human Activity Recognition Using Head-Worn Sensors | arXiv | 2025 | Link |
| Multi-Modal Multi-Task (M3T) Federated Foundation Models for Embodied AI: Potentials and Challenges for Edge Integration | arXiv | 2025 | Link |
| Multi-Modal Multi-Task Federated Foundation Models for Next-Generation Extended Reality Systems: Towards Privacy-Preserving Distributed Intelligence in AR/VR/MR | arXiv | 2025 | Link |
| Multi-Modal One-Shot Federated Ensemble Learning for Medical Data with Vision Large Language Model | arXiv | 2025 | Link |
| Multi-Objective Optimization for Privacy-Utility Balance in Differentially Private Federated Learning | arXiv | 2025 | Link |
| Multi-Server FL with Overlapping Clients: A Latency-Aware Relay Framework | arXiv | 2025 | Link |
| Multi-Source Collaborative Style Augmentation and Domain-Invariant Learning for Federated Domain Generalization | arXiv | 2025 | Link |
| Multi-Target Federated Backdoor Attack Based on Feature Aggregation | arXiv | 2025 | Link |
| Multi-Task Over-the-Air Federated Learning in Cell-Free Massive MIMO Systems | arXiv | 2025 | Link |
| Multi-Task Semantic Communications via Large Models | arXiv | 2025 | Link |
| Multi-level Governance, Smart Meter Adoption, and Utilities' Energy Efficiency Savings in the U.S | arXiv | 2025 | Link |
| Multi-objective methods in Federated Learning: A survey and taxonomy | arXiv | 2025 | Link |
| Multi-task Federated Learning with Encoder-Decoder Structure: Enabling Collaborative Learning Across Different Tasks | arXiv | 2025 | Link |
| Multimodal Federated Learning With Missing Modalities through Feature Imputation Network | arXiv | 2025 | Link |
| Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms | arXiv | 2025 | Link |
| Multimodal Online Federated Learning with Modality Missing in Internet of Things | arXiv | 2025 | Link |
| Multimodal-enhanced Federated Recommendation: A Group-wise Fusion Approach | arXiv | 2025 | Link |
| Multiplayer Federated Learning: Reaching Equilibrium with Less Communication | arXiv | 2025 | Link |
| Multitask Learning with Learned Task Relationships | arXiv | 2025 | Link |
| MyDigiTwin: A Privacy-Preserving Framework for Personalized Cardiovascular Risk Prediction and Scenario Exploration | arXiv | 2025 | Link |
| NIST Post-Quantum Cryptography Standard Algorithms Based on Quantum Random Number Generators | arXiv | 2025 | Link |
| Navigating Decentralized Online Social Networks: An Overview of Technical and Societal Challenges in Architectural Choices | arXiv | 2025 | Link |
| Nesterov-Accelerated Robust Federated Learning Over Byzantine Adversaries | arXiv | 2025 | Link |
| Network Anomaly Detection in Distributed Edge Computing Infrastructure | arXiv | 2025 | Link |
| Networked Markets, Fragmented Data: Adaptive Graph Learning for Customer Risk Analytics and Policy Design | arXiv | 2025 | Link |
| Neural Collapse based Deep Supervised Federated Learning for Signal Detection in OFDM Systems | arXiv | 2025 | Link |
| Neural Collapse-Inspired Multi-Label Federated Learning under Label-Distribution Skew | arXiv | 2025 | Link |
| Neutral-Hosts In The Shared Mid-Bands: Addressing Indoor Cellular Performance | arXiv | 2025 | Link |
| New Insights on Unfolding and Fine-tuning Quantum Federated Learning | arXiv | 2025 | Link |
| New Sufficient Algebraic Conditions for Local Consistency over Homogeneous Structures of Finite Duality | arXiv | 2025 | Link |
| Next-Generation Quantum Neural Networks: Enhancing Efficiency, Security, and Privacy | arXiv | 2025 | Link |
| NoT: Federated Unlearning via Weight Negation | arXiv | 2025 | Link |
| Noise Resilient Over-The-Air Federated Learning In Heterogeneous Wireless Networks | arXiv | 2025 | Link |
| Noise-Aware and Dynamically Adaptive Federated Defense Framework for SAR Image Target Recognition | arXiv | 2025 | Link |
| Noise-Resilient Quantum Aggregation on NISQ for Federated ADAS Learning | arXiv | 2025 | Link |
| Non-Convex Federated Optimization under Cost-Aware Client Selection | arXiv | 2025 | Link |
| Non-Convex Over-the-Air Heterogeneous Federated Learning: A Bias-Variance Trade-off | arXiv | 2025 | Link |
| Non-Take-Up of Unemployment Benefit II in Germany: A Longitudinal Perspective Using Administrative Data | arXiv | 2025 | Link |
| Non-convex composite federated learning with heterogeneous data | arXiv | 2025 | Link |
| Not All Clients Are Equal: Collaborative Model Personalization on Heterogeneous Multi-Modal Clients | arXiv | 2025 | Link |
| Not ready for the bench: LLM legal interpretation is unstable and out of step with human judgments | arXiv | 2025 | Link |
| Now More Than Ever, Foundational AI Research and Infrastructure Depends on the Federal Government | arXiv | 2025 | Link |
| OFL: Opportunistic Federated Learning for Resource-Heterogeneous and Privacy-Aware Devices | arXiv | 2025 | Link |
| OLALa: Online Learned Adaptive Lattice Codes for Heterogeneous Federated Learning | arXiv | 2025 | Link |
| OmniFed: A Modular Framework for Configurable Federated Learning from Edge to HPC | arXiv | 2025 | Link |
| On Global Convergence Rates for Federated Policy Gradient under Heterogeneous Environment | arXiv | 2025 | Link |
| On Hyperparameters and Backdoor-Resistance in Horizontal Federated Learning | arXiv | 2025 | Link |
| On Model Protection in Federated Learning against Eavesdropping Attacks | arXiv | 2025 | Link |
| On Provable Benefits of Muon in Federated Learning | arXiv | 2025 | Link |
| On Signal Peak Power Constraint of Over-the-Air Federated Learning | arXiv | 2025 | Link |
| On Using Large-Batches in Federated Learning | arXiv | 2025 | Link |
| On hierarchical secure aggregation against relay and user collusion | arXiv | 2025 | Link |
| On the Convergence and Stability of Distributed Sub-model Training | arXiv | 2025 | Link |
| On the Density Problem in Heisenberg Rectifiability | arXiv | 2025 | Link |
| On the Encapsulation of Medical Imaging AI Algorithms | arXiv | 2025 | Link |
| On the Evolution of Federated Post-Training Large Language Models: A Model Accessibility View | arXiv | 2025 | Link |
| On the Fast Adaptation of Delayed Clients in Decentralized Federated Learning: A Centroid-Aligned Distillation Approach | arXiv | 2025 | Link |
| On the Fragility of Contribution Score Computation in Federated Learning | arXiv | 2025 | Link |
| On the Limits of Momentum in Decentralized and Federated Optimization | arXiv | 2025 | Link |
| On the Optimization of Model Aggregation for Federated Learning at the Network Edge | arXiv | 2025 | Link |
| On the Out-of-Distribution Backdoor Attack for Federated Learning | arXiv | 2025 | Link |
| On the Security and Privacy of Federated Learning: A Survey with Attacks, Defenses, Frameworks, Applications, and Future Directions | arXiv | 2025 | Link |
| On the Surprising Effectiveness of a Single Global Merging in Decentralized Learning | arXiv | 2025 | Link |
| On the impact of the turbulent grazing flow development on the acoustic response of an acoustic liner | arXiv | 2025 | Link |
| On-Device Federated Continual Learning on RISC-V-based Ultra-Low-Power SoC for Intelligent Nano-Drone Swarms | arXiv | 2025 | Link |
| One Bad NOFO? AI Governance in Federal Grantmaking | arXiv | 2025 | Link |
| One Person, How Many Votes? Demographic Distortions in United States Elections | arXiv | 2025 | Link |
| One-Shot Clustering for Federated Learning | arXiv | 2025 | Link |
| One-Shot Clustering for Federated Learning Under Clustering-Agnostic Assumption | arXiv | 2025 | Link |
| One-Shot Federated Learning with Classifier-Free Diffusion Models | arXiv | 2025 | Link |
| One-Shot Federated Unsupervised Domain Adaptation with Scaled Entropy Attention and Multi-Source Smoothed Pseudo Labeling | arXiv | 2025 | Link |
| One-Shot Secure Aggregation: A Hybrid Cryptographic Protocol for Private Federated Learning in IoT | arXiv | 2025 | Link |
| One-shot Federated Learning Methods: A Practical Guide | arXiv | 2025 | Link |
| One-shot Robust Federated Learning of Independent Component Analysis | arXiv | 2025 | Link |
| Online Decentralized Federated Multi-task Learning With Trustworthiness in Cyber-Physical Systems | arXiv | 2025 | Link |
| Online Federation For Mixtures of Proprietary Agents with Black-Box Encoders | arXiv | 2025 | Link |
| Online federated learning framework for classification | arXiv | 2025 | Link |
| Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare | arXiv | 2025 | Link |
| Ontology-Aligned Embeddings for Data-Driven Labour Market Analytics | arXiv | 2025 | Link |
| Op-Fed: Opinion, Stance, and Monetary Policy Annotations on FOMC Transcripts Using Active Learning | arXiv | 2025 | Link |
| Open-Source LLM-Driven Federated Transformer for Predictive IoV Management | arXiv | 2025 | Link |
| OpenFLAME: Federated Visual Positioning System to Enable Large-Scale Augmented Reality Applications | arXiv | 2025 | Link |
| Operator-Theoretic Framework for Gradient-Free Federated Learning | arXiv | 2025 | Link |
| OptiFLIDS: Optimized Federated Learning for Energy-Efficient Intrusion Detection in IoT | arXiv | 2025 | Link |
| OptiGradTrust: Byzantine-Robust Federated Learning with Multi-Feature Gradient Analysis and Reinforcement Learning-Based Trust Weighting | arXiv | 2025 | Link |
| OptiVote: Non-Coherent FSO Over-the-Air Majority Vote for Communication-Efficient Distributed Federated Learning in Space Data Centers | arXiv | 2025 | Link |
| OptimES: Optimizing Federated Learning Using Remote Embeddings for Graph Neural Networks | arXiv | 2025 | Link |
| Optimal Batch-Size Control for Low-Latency Federated Learning with Device Heterogeneity | arXiv | 2025 | Link |
| Optimal Client Sampling in Federated Learning with Client-Level Heterogeneous Differential Privacy | arXiv | 2025 | Link |
| Optimal Cox regression under federated differential privacy: coefficients and cumulative hazards | arXiv | 2025 | Link |
| Optimal Look-back Horizon for Time Series Forecasting in Federated Learning | arXiv | 2025 | Link |
| Optimal Strategies for Federated Learning Maintaining Client Privacy | arXiv | 2025 | Link |
| Optimal Transceiver Design in Over-the-Air Federated Distillation | arXiv | 2025 | Link |
| Optimal Transport-based Domain Alignment as a Preprocessing Step for Federated Learning | arXiv | 2025 | Link |
| Optimal and Efficient Partite Decompositions of Hypergraphs | arXiv | 2025 | Link |
| Optimising Intrusion Detection Systems in Cloud-Edge Continuum with Knowledge Distillation for Privacy-Preserving and Efficient Communication | arXiv | 2025 | Link |
| Optimization Methods and Software for Federated Learning | arXiv | 2025 | Link |
| Optimization-Guided Exploration of Advanced Air Mobility Congestion Management Strategies with Stochastic Demands | arXiv | 2025 | Link |
| Optimized Local Updates in Federated Learning via Reinforcement Learning | arXiv | 2025 | Link |
| Optimized User Experience for Labeling Systems for Predictive Maintenance Applications (Extended) | arXiv | 2025 | Link |
| Optimizing Asynchronous Federated Learning: A Delicate Trade-Off Between Model-Parameter Staleness and Update Frequency | arXiv | 2025 | Link |
| Optimizing Communication and Device Clustering for Clustered Federated Learning with Differential Privacy | arXiv | 2025 | Link |
| Optimizing Energy and Latency in 6G Smart Cities with Edge CyberTwins | arXiv | 2025 | Link |
| Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study | arXiv | 2025 | Link |
| Optimizing Federated Learning for Scalable Power-demand Forecasting in Microgrids | arXiv | 2025 | Link |
| Optimizing Federated Learning in the Era of LLMs: Message Quantization and Streaming | arXiv | 2025 | Link |
| Optimizing Federated Learning using Remote Embeddings for Graph Neural Networks | arXiv | 2025 | Link |
| Optimizing Resource Allocation and Energy Efficiency in Federated Fog Computing for IoT | arXiv | 2025 | Link |
| Optimizing Solar Energy Production in the USA: Time-Series Analysis Using AI for Smart Energy Management | arXiv | 2025 | Link |
| Optimizing Split Federated Learning with Unstable Client Participation | arXiv | 2025 | Link |
| Optimizing Value of Learning in Task-Oriented Federated Meta-Learning Systems | arXiv | 2025 | Link |
| Optimus-Q: Utilizing Federated Learning in Adaptive Robots for Intelligent Nuclear Power Plant Operations through Quantum Cryptography | arXiv | 2025 | Link |
| Orthogonal Calibration for Asynchronous Federated Learning | arXiv | 2025 | Link |
| Orthogonal Soft Pruning for Efficient Class Unlearning | arXiv | 2025 | Link |
| OvA-LP: A Simple and Efficient Framework for Federated Learning on Non-IID Data | arXiv | 2025 | Link |
| Over-the-Air FEEL with Integrated Sensing: Joint Scheduling and Beamforming Design | arXiv | 2025 | Link |
| Over-the-Air Fair Federated Learning via Multi-Objective Optimization | arXiv | 2025 | Link |
| Over-the-Air Federated Learning: Rethinking Edge AI Through Signal Processing | arXiv | 2025 | Link |
| Overcoming Bottlenecks in Homomorphic Encryption for the 2024 Mexican Federal Election | arXiv | 2025 | Link |
| Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review | arXiv | 2025 | Link |
| Owen Sampling Accelerates Contribution Estimation in Federated Learning | arXiv | 2025 | Link |
| P$^2$U: Progressive Precision Update For Efficient Model Distribution | arXiv | 2025 | Link |
| PA-CFL: Privacy-Adaptive Clustered Federated Learning for Transformer-Based Sales Forecasting on Heterogeneous Retail Data | arXiv | 2025 | Link |
| PBM-VFL: Vertical Federated Learning with Feature and Sample Privacy | arXiv | 2025 | Link |
| PEFT A2Z: Parameter-Efficient Fine-Tuning Survey for Large Language and Vision Models | arXiv | 2025 | Link |
| PFed-Signal: An ADR Prediction Model based on Federated Learning | arXiv | 2025 | Link |
| PFedDST: Personalized Federated Learning with Decentralized Selection Training | arXiv | 2025 | Link |
| PHANTOM: Physics-Aware Adversarial Attacks against Federated Learning-Coordinated EV Charging Management System | arXiv | 2025 | Link |
| PLayer-FL: A Principled Approach to Personalized Layer-wise Cross-Silo Federated Learning | arXiv | 2025 | Link |
| PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning | arXiv | 2025 | Link |
| POLAR: Policy-based Layerwise Reinforcement Learning Method for Stealthy Backdoor Attacks in Federated Learning | arXiv | 2025 | Link |
| POPri: Private Federated Learning using Preference-Optimized Synthetic Data | arXiv | 2025 | Link |
| PPC-GPT: Federated Task-Specific Compression of Large Language Models via Pruning and Chain-of-Thought Distillation | arXiv | 2025 | Link |
| PPFPL: Cross-silo Privacy-preserving Federated Prototype Learning Against Data Poisoning Attacks | arXiv | 2025 | Link |
| PQFed: A Privacy-Preserving Quality-Controlled Federated Learning Framework | arXiv | 2025 | Link |
| PQS-BFL: A Post-Quantum Secure Blockchain-based Federated Learning Framework | arXiv | 2025 | Link |
| PREAMBLE: Private and Efficient Aggregation via Block Sparse Vectors | arXiv | 2025 | Link |
| PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models | arXiv | 2025 | Link |
| PROTEAN: Federated Intrusion Detection in Non-IID Environments through Prototype-Based Knowledge Sharing | arXiv | 2025 | Link |
| PROV-AGENT: Unified Provenance for Tracking AI Agent Interactions in Agentic Workflows | arXiv | 2025 | Link |
| PSI-PFL: Population Stability Index for Client Selection in non-IID Personalized Federated Learning | arXiv | 2025 | Link |
| Pancreas Part Segmentation under Federated Learning Paradigm | arXiv | 2025 | Link |
| ParaAegis: Parallel Protection for Flexible Privacy-preserved Federated Learning | arXiv | 2025 | Link |
| ParaBlock: Communication-Computation Parallel Block Coordinate Federated Learning for Large Language Models | arXiv | 2025 | Link |
| Parameter-Efficient and Personalized Federated Training of Generative Models at the Edge | arXiv | 2025 | Link |
| Parameter-Free Federated TD Learning with Markov Noise in Heterogeneous Environments | arXiv | 2025 | Link |
| Pareto Actor-Critic for Communication and Computation Co-Optimization in Non-Cooperative Federated Learning Services | arXiv | 2025 | Link |
| PassREfinder-FL: Privacy-Preserving Credential Stuffing Risk Prediction via Graph-Based Federated Learning for Representing Password Reuse between Websites | arXiv | 2025 | Link |
| Path Planning through Multi-Agent Reinforcement Learning in Dynamic Environments | arXiv | 2025 | Link |
| PathFL: Multi-Alignment Federated Learning for Pathology Image Segmentation | arXiv | 2025 | Link |
| Pathfinders in the Sky: Formal Decision-Making Models for Collaborative Air Traffic Control in Convective Weather | arXiv | 2025 | Link |
| Patient-Level Anatomy Meets Scanning-Level Physics: Personalized Federated Low-Dose CT Denoising Empowered by Large Language Model | arXiv | 2025 | Link |
| Pay Clauses in Public Procurement: The Wage Impact of Collective Bargaining Compliance Laws in Germany | arXiv | 2025 | Link |
| PeakWeather: MeteoSwiss Weather Station Measurements for Spatiotemporal Deep Learning | arXiv | 2025 | Link |
| Per-element Secure Aggregation against Data Reconstruction Attacks in Federated Learning | arXiv | 2025 | Link |
| Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN | arXiv | 2025 | Link |
| Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning | arXiv | 2025 | Link |
| Performance Analysis of Decentralized Federated Learning Deployments | arXiv | 2025 | Link |
| Performance Optimization of YOLO-FEDER FusionNet for Robust Drone Detection in Visually Complex Environments | arXiv | 2025 | Link |
| Permissioned Blockchain in Advanced Air Mobility: A Performance Analysis for UTM | arXiv | 2025 | Link |
| Permutation-Invariant Representation Learning for Robust and Privacy-Preserving Feature Selection | arXiv | 2025 | Link |
| Personalized Bayesian Federated Learning with Wasserstein Barycenter Aggregation | arXiv | 2025 | Link |
| Personalized Collaborative Learning with Affinity-Based Variance Reduction | arXiv | 2025 | Link |
| Personalized Federated Dictionary Learning for Modeling Heterogeneity in Multi-site fMRI Data | arXiv | 2025 | Link |
| Personalized Federated Fine-Tuning of Vision Foundation Models for Healthcare | arXiv | 2025 | Link |
| Personalized Federated Fine-tuning for Heterogeneous Data: An Automatic Rank Learning Approach via Two-Level LoRA | arXiv | 2025 | Link |
| Personalized Federated Heat-Kernel Enhanced Multi-View Clustering via Advanced Tensor Decomposition Techniques | arXiv | 2025 | Link |
| Personalized Federated Learning for Cellular VR: Online Learning and Dynamic Caching | arXiv | 2025 | Link |
| Personalized Federated Learning for Egocentric Video Gaze Estimation with Comprehensive Parameter Frezzing | arXiv | 2025 | Link |
| Personalized Federated Learning under Model Dissimilarity Constraints | arXiv | 2025 | Link |
| Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion | arXiv | 2025 | Link |
| Personalized Federated Learning via Learning Dynamic Graphs | arXiv | 2025 | Link |
| Personalized Federated Learning with Bidirectional Communication Compression via One-Bit Random Sketching | arXiv | 2025 | Link |
| Personalized Federated Learning-Driven Beamforming Optimization for Integrated Sensing and Communication Systems | arXiv | 2025 | Link |
| Personalized Federated Recommendation With Knowledge Guidance | arXiv | 2025 | Link |
| Personalized Federated Segmentation with Shared Feature Aggregation and Boundary-Focused Calibration | arXiv | 2025 | Link |
| Personalized Federated Training of Diffusion Models with Privacy Guarantees | arXiv | 2025 | Link |
| Personalized Mental State Evaluation in Human-Robot Interaction using Federated Learning | arXiv | 2025 | Link |
| Personalized Recommendation Models in Federated Settings: A Survey | arXiv | 2025 | Link |
| Personalized Subgraph Federated Learning with Differentiable Auxiliary Projections | arXiv | 2025 | Link |
| Personalized Subgraph Federated Learning with Sheaf Collaboration | arXiv | 2025 | Link |
| Personalized federated prototype learning in mixed heterogeneous data scenarios | arXiv | 2025 | Link |
| Personalizing Federated Learning for Hierarchical Edge Networks with Non-IID Data | arXiv | 2025 | Link |
| Phenotype discovery of traumatic brain injury segmentations from heterogeneous multi-site data | arXiv | 2025 | Link |
| Physics-Guided Deepfake Detection for Voice Authentication Systems | arXiv | 2025 | Link |
| Pilot: Building the Federated Multimodal Instruction Tuning Framework | arXiv | 2025 | Link |
| Pinching Antennas Meet AI in Next-Generation Wireless Networks | arXiv | 2025 | Link |
| Pinching-antenna-enabled Federated Learning: Tail Latency, Participation, and Convergence Analysis | arXiv | 2025 | Link |
| Place-Based Policies for Neighborhood Improvement: Evidence from Promise Zones | arXiv | 2025 | Link |
| Plug-and-Play Parameter-Efficient Tuning of Embeddings for Federated Recommendation | arXiv | 2025 | Link |
| PluralLLM: Pluralistic Alignment in LLMs via Federated Learning | arXiv | 2025 | Link |
| Poisoning Attacks and Defenses to Federated Unlearning | arXiv | 2025 | Link |
| Policy-Driven AI in Dataspaces: Taxonomy, Explainability, and Pathways for Compliant Innovation | arXiv | 2025 | Link |
| Political Advertising on Facebook During the 2022 Australian Federal Election: A Social Identity Perspective | arXiv | 2025 | Link |
| Political Biases on X before the 2025 German Federal Election | arXiv | 2025 | Link |
| Poly-Vector Retrieval: Reference and Content Embeddings for Legal Documents | arXiv | 2025 | Link |
| Position Paper: Rethinking Privacy in RL for Sequential Decision-making in the Age of LLMs | arXiv | 2025 | Link |
| Position: Federated Foundation Language Model Post-Training Should Focus on Open-Source Models | arXiv | 2025 | Link |
| Position: The Current AI Conference Model is Unsustainable! Diagnosing the Crisis of Centralized AI Conference | arXiv | 2025 | Link |
| Positive Style Accumulation: A Style Screening and Continuous Utilization Framework for Federated DG-ReID | arXiv | 2025 | Link |
| Poster: FedBlockParadox -- A Framework for Simulating and Securing Decentralized Federated Learning | arXiv | 2025 | Link |
| Power Transform Revisited: Numerically Stable, and Federated | arXiv | 2025 | Link |
| Power to the Clients: Federated Learning in a Dictatorship Setting | arXiv | 2025 | Link |
| Power-Efficient Over-the-Air Aggregation with Receive Beamforming for Federated Learning | arXiv | 2025 | Link |
| PowerTrip: Exploiting Federated Heterogeneous Datacenter Power for Distributed ML Training | arXiv | 2025 | Link |
| PracMHBench: Re-evaluating Model-Heterogeneous Federated Learning Based on Practical Edge Device Constraints | arXiv | 2025 | Link |
| Practical Federated Learning without a Server | arXiv | 2025 | Link |
| Practical quantum federated learning and its experimental demonstration | arXiv | 2025 | Link |
| Prediction-space knowledge markets for communication-efficient federated learning on multimedia tasks | arXiv | 2025 | Link |
| Preserving Vector Space Properties in Dimensionality Reduction: A Relationship Preserving Loss Framework | arXiv | 2025 | Link |
| Preventing the Popular Item Embedding Based Attack in Federated Recommendations | arXiv | 2025 | Link |
| PriFFT: Privacy-preserving Federated Fine-tuning of Large Language Models via Hybrid Secret Sharing | arXiv | 2025 | Link |
| Principles and Components of Federated Learning Architectures | arXiv | 2025 | Link |
| Prismo: A Decision Support System for Privacy-Preserving ML Framework Selection | arXiv | 2025 | Link |
| PrivLLMSwarm: Privacy-Preserving LLM-Driven UAV Swarms for Secure IoT Surveillance | arXiv | 2025 | Link |
| Privacy Challenges In Image Processing Applications | arXiv | 2025 | Link |
| Privacy Enhancement in Over-the-Air Federated Learning via Adaptive Receive Scaling | arXiv | 2025 | Link |
| Privacy Preservation and Identity Tracing Prevention in AI-Driven Eye Tracking for Interactive Learning Environments | arXiv | 2025 | Link |
| Privacy Preserved Federated Learning with Attention-Based Aggregation for Biometric Recognition | arXiv | 2025 | Link |
| Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning | arXiv | 2025 | Link |
| Privacy Preserving and Robust Aggregation for Cross-Silo Federated Learning in Non-IID Settings | arXiv | 2025 | Link |
| Privacy Protection in Prosumer Energy Management Based on Federated Learning | arXiv | 2025 | Link |
| Privacy Risks in Health Big Data: A Systematic Literature Review | arXiv | 2025 | Link |
| Privacy is All You Need: Revolutionizing Wearable Health Data with Advanced PETs | arXiv | 2025 | Link |
| Privacy-Aware Cyberterrorism Network Analysis using Graph Neural Networks and Federated Learning | arXiv | 2025 | Link |
| Privacy-Aware Federated nnU-Net for ECG Page Digitization | arXiv | 2025 | Link |
| Privacy-Enhancing Infant Cry Classification with Federated Transformers and Denoising Regularization | arXiv | 2025 | Link |
| Privacy-Enhancing Paradigms within Federated Multi-Agent Systems | arXiv | 2025 | Link |
| Privacy-Preserved Automated Scoring using Federated Learning for Educational Research | arXiv | 2025 | Link |
| Privacy-Preserving Analytics for Smart Meter (AMI) Data: A Hybrid Approach to Comply with CPUC Privacy Regulations | arXiv | 2025 | Link |
| Privacy-Preserving Chest X-ray Report Generation via Multimodal Federated Learning with ViT and GPT-2 | arXiv | 2025 | Link |
| Privacy-Preserving Distributed Link Predictions Among Peers in Online Classrooms Using Federated Learning | arXiv | 2025 | Link |
| Privacy-Preserving Driver Drowsiness Detection with Spatial Self-Attention and Federated Learning | arXiv | 2025 | Link |
| Privacy-Preserving Feature Valuation in Vertical Federated Learning Using Shapley-CMI and PSI Permutation | arXiv | 2025 | Link |
| Privacy-Preserving Federated Learning for Fair and Efficient Urban Traffic Optimization | arXiv | 2025 | Link |
| Privacy-Preserving Methods for Bug Severity Prediction | arXiv | 2025 | Link |
| Privacy-Preserving Multi-Stage Fall Detection Framework with Semi-supervised Federated Learning and Robotic Vision Confirmation | arXiv | 2025 | Link |
| Privacy-Preserving Multimodal News Recommendation through Federated Learning | arXiv | 2025 | Link |
| Privacy-Preserving Offloading for Large Language Models in 6G Vehicular Networks | arXiv | 2025 | Link |
| Privacy-Preserving Personalization in Education: A Federated Recommender System for Student Performance Prediction | arXiv | 2025 | Link |
| Privacy-Preserving Personalized Federated Learning for Distributed Photovoltaic Disaggregation under Statistical Heterogeneity | arXiv | 2025 | Link |
| Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models | arXiv | 2025 | Link |
| Privacy-Preserving Quantized Federated Learning with Diverse Precision | arXiv | 2025 | Link |
| Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning | arXiv | 2025 | Link |
| Private Federated Learning In Real World Application -- A Case Study | arXiv | 2025 | Link |
| Private Federated Multiclass Post-hoc Calibration | arXiv | 2025 | Link |
| Private Model Personalization Revisited | arXiv | 2025 | Link |
| ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning | arXiv | 2025 | Link |
| ProFed: a Benchmark for Proximity-based non-IID Federated Learning | arXiv | 2025 | Link |
| ProbSelect: Stochastic Client Selection for GPU-Accelerated Compute Devices in the 3D Continuum | arXiv | 2025 | Link |
| Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data | arXiv | 2025 | Link |
| Proceedings First Workshop on Adaptable Cloud Architectures | arXiv | 2025 | Link |
| Progressive Size-Adaptive Federated Learning: A Comprehensive Framework for Heterogeneous Multi-Modal Data Systems | arXiv | 2025 | Link |
| Prompt Estimation from Prototypes for Federated Prompt Tuning of Vision Transformers | arXiv | 2025 | Link |
| Proof-of-Data: A Consensus Protocol for Collaborative Intelligence | arXiv | 2025 | Link |
| Propuesta de implementación de catálogos federados para espacios de datos sobre DataHub | arXiv | 2025 | Link |
| Proto-EVFL: Enhanced Vertical Federated Learning via Dual Prototype with Extremely Unaligned Data | arXiv | 2025 | Link |
| Prototype-Guided and Lightweight Adapters for Inherent Interpretation and Generalisation in Federated Learning | arXiv | 2025 | Link |
| Prototype-based Heterogeneous Federated Learning for Blade Icing Detection in Wind Turbines with Class Imbalanced Data | arXiv | 2025 | Link |
| Provable Reduction in Communication Rounds for Non-Smooth Convex Federated Learning | arXiv | 2025 | Link |
| Provably Robust Federated Reinforcement Learning | arXiv | 2025 | Link |
| Proving the Limited Scalability of Centralized Distributed Optimization via a New Lower Bound Construction | arXiv | 2025 | Link |
| Proxy Model-Guided Reinforcement Learning for Client Selection in Federated Recommendation | arXiv | 2025 | Link |
| PubSub-VFL: Towards Efficient Two-Party Split Learning in Heterogeneous Environments via Publisher/Subscriber Architecture | arXiv | 2025 | Link |
| Public Health Insurance of Children and Maternal Labor Market Outcomes | arXiv | 2025 | Link |
| Pushing the Boundaries in CBRS Band: Robust Radar Detection within High 5G Interference | arXiv | 2025 | Link |
| QA-HFL: Quality-Aware Hierarchical Federated Learning for Resource-Constrained Mobile Devices with Heterogeneous Image Quality | arXiv | 2025 | Link |
| QFAL: Quantum Federated Adversarial Learning | arXiv | 2025 | Link |
| QJoin: Transformation-aware Joinable Data Discovery Using Reinforcement Learning | arXiv | 2025 | Link |
| QONNECT: A QoS-Aware Orchestration System for Distributed Kubernetes Clusters | arXiv | 2025 | Link |
| QualBench: Benchmarking Chinese LLMs with Localized Professional Qualifications for Vertical Domain Evaluation | arXiv | 2025 | Link |
| Quality assurance of the Federal Interagency Traumatic Brain Injury Research (FITBIR) MRI database to enable integrated multi-site analysis | arXiv | 2025 | Link |
| Quantified compactness in Lipschitz-free spaces of $[-1,1]^n$ | arXiv | 2025 | Link |
| Quantized Analog Beamforming Enabled Multi-task Federated Learning Over-the-air | arXiv | 2025 | Link |
| Quantized Rank Reduction: A Communications-Efficient Federated Learning Scheme for Network-Critical Applications | arXiv | 2025 | Link |
| Quantum Federated Learning for Multimodal Data: A Modality-Agnostic Approach | arXiv | 2025 | Link |
| Quantum Federated Learning: A Comprehensive Survey | arXiv | 2025 | Link |
| Quantum Federated Learning: Architectural Elements and Future Directions | arXiv | 2025 | Link |
| Quantum Machine Unlearning: Foundations, Mechanisms, and Taxonomy | arXiv | 2025 | Link |
| Quantum Vanguard: Server Optimized Privacy Fortified Federated Intelligence for Future Vehicles | arXiv | 2025 | Link |
| Quantum-Evolutionary Neural Networks for Multi-Agent Federated Learning | arXiv | 2025 | Link |
| QuantumShield: Multilayer Fortification for Quantum Federated Learning | arXiv | 2025 | Link |
| Query-based Knowledge Transfer for Heterogeneous Learning Environments | arXiv | 2025 | Link |
| Qwerty AI: Explainable Automated Age Rating and Content Safety Assessment for Russian-Language Screenplays | arXiv | 2025 | Link |
| RADAR-Radio Afterglow Detection and AI-driven Response: A Federated Framework for Gravitational Wave Event Follow-Up | arXiv | 2025 | Link |
| RAG-based User Profiling for Precision Planning in Mixed-precision Over-the-Air Federated Learning | arXiv | 2025 | Link |
| RCC-PFL: Robust Client Clustering under Noisy Labels in Personalized Federated Learning | arXiv | 2025 | Link |
| REDUS: Adaptive Resampling for Efficient Deep Learning in Centralized and Federated IoT Networks | arXiv | 2025 | Link |
| RELiQ: Scalable Entanglement Routing via Reinforcement Learning in Quantum Networks | arXiv | 2025 | Link |
| REMISVFU: Vertical Federated Unlearning via Representation Misdirection for Intermediate Output Feature | arXiv | 2025 | Link |
| RIFLES: Resource-effIcient Federated LEarning via Scheduling | arXiv | 2025 | Link |
| Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features | arXiv | 2025 | Link |
| Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation | arXiv | 2025 | Link |
| Rates of Convergence of Generalised Variational Inference Posteriors under Prior Misspecification | arXiv | 2025 | Link |
| Rating competitors in games with strength-dependent tie probabilities | arXiv | 2025 | Link |
| Ratio1 -- AI meta-OS | arXiv | 2025 | Link |
| Ravan: Multi-Head Low-Rank Adaptation for Federated Fine-Tuning | arXiv | 2025 | Link |
| Readout-Side Bypass for Residual Hybrid Quantum-Classical Models | arXiv | 2025 | Link |
| Real-Time Personalized Content Adaptation through Matrix Factorization and Context-Aware Federated Learning | arXiv | 2025 | Link |
| Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator | arXiv | 2025 | Link |
| Reclaiming Constitutional Authority of Algorithmic Power | arXiv | 2025 | Link |
| Redactable Blockchains: An Overview | arXiv | 2025 | Link |
| Redefining Clustered Federated Learning for System Identification: The Path of ClusterCraft | arXiv | 2025 | Link |
| Redefining non-IID Data in Federated Learning for Computer Vision Tasks: Migrating from Labels to Embeddings for Task-Specific Data Distributions | arXiv | 2025 | Link |
| Reducing Communication Overhead in Federated Learning for Network Anomaly Detection with Adaptive Client Selection | arXiv | 2025 | Link |
| Regret-Based Federated Causal Discovery with Unknown Interventions | arXiv | 2025 | Link |
| Regret-Optimal Q-Learning with Low Cost for Single-Agent and Federated Reinforcement Learning | arXiv | 2025 | Link |
| Regularized Federated Learning for Privacy-Preserving Dysarthric and Elderly Speech Recognition | arXiv | 2025 | Link |
| Regularized Federated Methods with Universal Guarantees for Simple Bilevel Optimization | arXiv | 2025 | Link |
| Regulating Online Algorithmic Pricing: A Comparative Study of Privacy and Data Protection Laws in the EU and US | arXiv | 2025 | Link |
| Reinforcement Learning for Monetary Policy Under Macroeconomic Uncertainty: Analyzing Tabular and Function Approximation Methods | arXiv | 2025 | Link |
| Reinsuring AI: Energy, Agriculture, Finance & Medicine as Precedents for Scalable Governance of Frontier Artificial Intelligence | arXiv | 2025 | Link |
| Relaxed Choices in Bottom-Up Asynchronous Multiparty Session Types | arXiv | 2025 | Link |
| Reliable Imputed-Sample Assisted Vertical Federated Learning | arXiv | 2025 | Link |
| Reliable Non-Leveled Homomorphic Encryption for Web Services | arXiv | 2025 | Link |
| Reliable Vertical Federated Learning in 5G Core Network Architecture | arXiv | 2025 | Link |
| Remote ID Based UAV Collision Avoidance Optimization for Low-Altitude Airspace Safety | arXiv | 2025 | Link |
| Remote Rowhammer Attack using Adversarial Observations on Federated Learning Clients | arXiv | 2025 | Link |
| Replication Study: Federated Text-Driven Prompt Generation for Vision-Language Models | arXiv | 2025 | Link |
| Representation Learning to Advance Multi-institutional Studies with Electronic Health Record Data | arXiv | 2025 | Link |
| Research in Collaborative Learning Does Not Serve Cross-Silo Federated Learning in Practice | arXiv | 2025 | Link |
| Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems | arXiv | 2025 | Link |
| Resource Utilization Optimized Federated Learning | arXiv | 2025 | Link |
| Resource-Aware Aggregation and Sparsification in Heterogeneous Ensemble Federated Learning | arXiv | 2025 | Link |
| Resource-Constrained Federated Continual Learning: What Does Matter? | arXiv | 2025 | Link |
| Resource-Efficient Federated Fine-Tuning Large Language Models for Heterogeneous Data | arXiv | 2025 | Link |
| Responsible Artificial Intelligence (RAI) in U.S. Federal Government : Principles, Policies, and Practices | arXiv | 2025 | Link |
| Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective | arXiv | 2025 | Link |
| Rethinking Data Value: Asymmetric Data Shapley for Structure-Aware Valuation in Data Markets and Machine Learning Pipelines | arXiv | 2025 | Link |
| Rethinking Federated Graph Learning: A Data Condensation Perspective | arXiv | 2025 | Link |
| Rethinking Knowledge Distillation in Collaborative Machine Learning: Memory, Knowledge, and Their Interactions | arXiv | 2025 | Link |
| Rethinking Layer-wise Gaussian Noise Injection: Bridging Implicit Objectives and Privacy Budget Allocation | arXiv | 2025 | Link |
| Rethinking Parameter Sharing for LLM Fine-Tuning with Multiple LoRAs | arXiv | 2025 | Link |
| Rethinking the Backbone in Class Imbalanced Federated Source Free Domain Adaptation: The Utility of Vision Foundation Models | arXiv | 2025 | Link |
| Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps | arXiv | 2025 | Link |
| Retrieval-Augmented Framework for LLM-Based Clinical Decision Support | arXiv | 2025 | Link |
| Retrieval-Augmented Generation: A Comprehensive Survey of Architectures, Enhancements, and Robustness Frontiers | arXiv | 2025 | Link |
| Revenue Optimization in Wireless Video Caching Networks: A Privacy-Preserving Two-Stage Solution | arXiv | 2025 | Link |
| Revisit the Stability of Vanilla Federated Learning Under Diverse Conditions | arXiv | 2025 | Link |
| Revisiting LocalSGD and SCAFFOLD: Improved Rates and Missing Analysis | arXiv | 2025 | Link |
| Reviving Stale Updates: Data-Free Knowledge Distillation for Asynchronous Federated Learning | arXiv | 2025 | Link |
| RiM: Record, Improve and Maintain Physical Well-being using Federated Learning | arXiv | 2025 | Link |
| Right Reward Right Time for Federated Learning | arXiv | 2025 | Link |
| Ringleader ASGD: The First Asynchronous SGD with Optimal Time Complexity under Data Heterogeneity | arXiv | 2025 | Link |
| RoadFed: A Multimodal Federated Learning System for Improving Road Safety | arXiv | 2025 | Link |
| RobQFL: Robust Quantum Federated Learning in Adversarial Environment | arXiv | 2025 | Link |
| Robust Client-Server Watermarking for Split Federated Learning | arXiv | 2025 | Link |
| Robust Clustered Federated Learning for Heterogeneous High-dimensional Data | arXiv | 2025 | Link |
| Robust Estimation Under Heterogeneous Corruption Rates | arXiv | 2025 | Link |
| Robust Federated Anomaly Detection Using Dual-Signal Autoencoders: Application to Kidney Stone Identification in Ureteroscopy | arXiv | 2025 | Link |
| Robust Federated Fine-Tuning in Heterogeneous Networks with Unreliable Connections: An Aggregation View | arXiv | 2025 | Link |
| Robust Federated Finetuning of LLMs via Alternating Optimization of LoRA | arXiv | 2025 | Link |
| Robust Federated Inference | arXiv | 2025 | Link |
| Robust Federated Learning against Model Perturbation in Edge Networks | arXiv | 2025 | Link |
| Robust Federated Learning against Noisy Clients via Masked Optimization | arXiv | 2025 | Link |
| Robust Federated Learning in Unreliable Wireless Networks: A Client Selection Approach | arXiv | 2025 | Link |
| Robust Federated Learning on Edge Devices with Domain Heterogeneity | arXiv | 2025 | Link |
| Robust Federated Learning under Adversarial Attacks via Loss-Based Client Clustering | arXiv | 2025 | Link |
| Robust Federated Learning with Confidence-Weighted Filtering and GAN-Based Completion under Noisy and Incomplete Data | arXiv | 2025 | Link |
| Robust Federated Learning with Global Sensitivity Estimation for Financial Risk Management | arXiv | 2025 | Link |
| Robust Federated Personalised Mean Estimation for the Gaussian Mixture Model | arXiv | 2025 | Link |
| Robust Knowledge Distillation in Federated Learning: Counteracting Backdoor Attacks | arXiv | 2025 | Link |
| Robust Over-the-Air Computation with Type-Based Multiple Access | arXiv | 2025 | Link |
| Robust Segmented Analog Broadcast Design to Accelerate Wireless Federated Learning | arXiv | 2025 | Link |
| Robust and Efficient Communication in Multi-Agent Reinforcement Learning | arXiv | 2025 | Link |
| RobustFSM: Submodular Maximization in Federated Setting with Malicious Clients | arXiv | 2025 | Link |
| Role-Aware Multi-modal federated learning system for detecting phishing webpages | arXiv | 2025 | Link |
| Route-and-Aggregate Decentralized Federated Learning Under Communication Errors | arXiv | 2025 | Link |
| Routing Optimization Based on Distributed Intelligent Network Softwarization for the Internet of Things | arXiv | 2025 | Link |
| Row-wise Fusion Regularization: An Interpretable Personalized Federated Learning Framework in Large-Scale Scenarios | arXiv | 2025 | Link |
| Runtime Backdoor Detection for Federated Learning via Representational Dissimilarity Analysis | arXiv | 2025 | Link |
| S-D-RSM: Stochastic Distributed Regularized Splitting Method for Large-Scale Convex Optimization Problems | arXiv | 2025 | Link |
| S-VOTE: Similarity-based Voting for Client Selection in Decentralized Federated Learning | arXiv | 2025 | Link |
| S2FGL: Spatial Spectral Federated Graph Learning | arXiv | 2025 | Link |
| SABRE-FL: Selective and Accurate Backdoor Rejection for Federated Prompt Learning | arXiv | 2025 | Link |
| SAFL: Structure-Aware Personalized Federated Learning via Client-Specific Clustering and SCSI-Guided Model Pruning | arXiv | 2025 | Link |
| SAM-Fed: SAM-Guided Federated Semi-Supervised Learning for Medical Image Segmentation | arXiv | 2025 | Link |
| SCP: Accelerating Discovery with a Global Web of Autonomous Scientific Agents | arXiv | 2025 | Link |
| SDFLMQ: A Semi-Decentralized Federated Learning Framework over MQTT | arXiv | 2025 | Link |
| SEAFL: Enhancing Efficiency in Semi-Asynchronous Federated Learning through Adaptive Aggregation and Selective Training | arXiv | 2025 | Link |
| SEMFED: Semantic-Aware Resource-Efficient Federated Learning for Heterogeneous NLP Tasks | arXiv | 2025 | Link |
| SFL-LEO: Asynchronous Split-Federated Learning Design for LEO Satellite-Ground Network Framework | arXiv | 2025 | Link |
| SFedKD: Sequential Federated Learning with Discrepancy-Aware Multi-Teacher Knowledge Distillation | arXiv | 2025 | Link |
| SGFusion: Stochastic Geographic Gradient Fusion in Federated Learning | arXiv | 2025 | Link |
| SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning | arXiv | 2025 | Link |
| SL-ACC: A Communication-Efficient Split Learning Framework with Adaptive Channel-wise Compression | arXiv | 2025 | Link |
| SMoFi: Step-wise Momentum Fusion for Split Federated Learning on Heterogeneous Data | arXiv | 2025 | Link |
| SOFA-FL: Self-Organizing Hierarchical Federated Learning with Adaptive Clustered Data Sharing | arXiv | 2025 | Link |
| SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning | arXiv | 2025 | Link |
| SPARK: Igniting Communication-Efficient Decentralized Learning via Stage-wise Projected NTK and Accelerated Regularization | arXiv | 2025 | Link |
| SPARQL-LLM: Real-Time SPARQL Query Generation from Natural Language Questions | arXiv | 2025 | Link |
| SPIRE: Conditional Personalization for Federated Diffusion Generative Models | arXiv | 2025 | Link |
| SRE-Llama -- Fine-Tuned Meta's Llama LLM, Federated Learning, Blockchain and NFT Enabled Site Reliability Engineering(SRE) Platform for Communication and Networking Software Services | arXiv | 2025 | Link |
| STHFL: Spatio-Temporal Heterogeneous Federated Learning | arXiv | 2025 | Link |
| SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End Devices | arXiv | 2025 | Link |
| Safe-EF: Error Feedback for Nonsmooth Constrained Optimization | arXiv | 2025 | Link |
| SafeSplit: A Novel Defense Against Client-Side Backdoor Attacks in Split Learning (Full Version) | arXiv | 2025 | Link |
| Sampling-based federated inference for M-estimators with non-smooth objective functions | arXiv | 2025 | Link |
| Satellite Edge Artificial Intelligence with Large Models: Architectures and Technologies | arXiv | 2025 | Link |
| Satellite Federated Fine-Tuning for Foundation Models in Space Computing Power Networks | arXiv | 2025 | Link |
| Scaffold with Stochastic Gradients: New Analysis with Linear Speed-Up | arXiv | 2025 | Link |
| Scalable Agentic Reasoning for Designing Biologics Targeting Intrinsically Disordered Proteins | arXiv | 2025 | Link |
| Scalable Asynchronous Federated Modeling for Spatial Data | arXiv | 2025 | Link |
| Scaling Decentralized Learning with FLock | arXiv | 2025 | Link |
| Scaling Federated Learning Solutions with Kubernetes for Synthesizing Histopathology Images | arXiv | 2025 | Link |
| Scaling Law Analysis in Federated Learning: How to Select the Optimal Model Size? | arXiv | 2025 | Link |
| Scaling Probabilistic Circuits via Data Partitioning | arXiv | 2025 | Link |
| Scaling Remote Sensing Foundation Models: Data Domain Tradeoffs at the Peta-Scale | arXiv | 2025 | Link |
| Scaling Trust in Quantum Federated Learning: A Multi-Protocol Privacy Design | arXiv | 2025 | Link |
| Seasonality in the U.S. Housing Market: Post-Pandemic Shifts and Regional Dynamics | arXiv | 2025 | Link |
| SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding | arXiv | 2025 | Link |
| Secure Aggregation in Federated Learning using Multiparty Homomorphic Encryption | arXiv | 2025 | Link |
| Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks | arXiv | 2025 | Link |
| Secure Federated Graph-Filtering for Recommender Systems | arXiv | 2025 | Link |
| Secure Federated XGBoost with CUDA-accelerated Homomorphic Encryption via NVIDIA FLARE | arXiv | 2025 | Link |
| Secure Multi-Key Homomorphic Encryption with Application to Privacy-Preserving Federated Learning | arXiv | 2025 | Link |
| Secure Multi-Modal Data Fusion in Federated Digital Health Systems via MCP | arXiv | 2025 | Link |
| Secure On-Device Video OOD Detection Without Backpropagation | arXiv | 2025 | Link |
| Secure Over-the-Air Computation Against Multiple Eavesdroppers using Correlated Artificial Noise | arXiv | 2025 | Link |
| Secure UAV-assisted Federated Learning: A Digital Twin-Driven Approach with Zero-Knowledge Proofs | arXiv | 2025 | Link |
| Secure Visual Data Processing via Federated Learning | arXiv | 2025 | Link |
| Secure and Private Federated Learning: Achieving Adversarial Resilience through Robust Aggregation | arXiv | 2025 | Link |
| SecureFed: A Two-Phase Framework for Detecting Malicious Clients in Federated Learning | arXiv | 2025 | Link |
| Securing Private Federated Learning in a Malicious Setting: A Scalable TEE-Based Approach with Client Auditing | arXiv | 2025 | Link |
| SegOTA: Accelerating Over-the-Air Federated Learning with Segmented Transmission | arXiv | 2025 | Link |
| Selective Attention Federated Learning: Improving Privacy and Efficiency for Clinical Text Classification | arXiv | 2025 | Link |
| SelectiveShield: Lightweight Hybrid Defense Against Gradient Leakage in Federated Learning | arXiv | 2025 | Link |
| Self-Adaptive and Robust Federated Spectrum Sensing without Benign Majority for Cellular Networks | arXiv | 2025 | Link |
| Self-Interest and Systemic Benefits: Emergence of Collective Rationality in Mixed Autonomy Traffic Through Deep Reinforcement Learning | arXiv | 2025 | Link |
| Self-Supervised Federated GNSS Spoofing Detection with Opportunistic Data | arXiv | 2025 | Link |
| SemSpaceFL: A Collaborative Hierarchical Federated Learning Framework for Semantic Communication in 6G LEO Satellites | arXiv | 2025 | Link |
| Semantic Communication in Dynamic Channel Scenarios: Collaborative Optimization of Dual-Pipeline Joint Source-Channel Coding and Personalized Federated Learning | arXiv | 2025 | Link |
| Semantic-Constrained Federated Aggregation: Convergence Theory and Privacy-Utility Bounds for Knowledge-Enhanced Distributed Learning | arXiv | 2025 | Link |
| Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis | arXiv | 2025 | Link |
| Semi-Supervised Federated Multi-Label Feature Selection with Fuzzy Information Measures | arXiv | 2025 | Link |
| Semi-decentralized Federated Time Series Prediction with Client Availability Budgets | arXiv | 2025 | Link |
| Semi-overlapping Multi-bandit Best Arm Identification for Sequential Support Network Learning | arXiv | 2025 | Link |
| Sense4FL: Vehicular Crowdsensing Enhanced Federated Learning for Object Detection in Autonomous Driving | arXiv | 2025 | Link |
| Sentinel: Dynamic Knowledge Distillation for Personalized Federated Intrusion Detection in Heterogeneous IoT Networks | arXiv | 2025 | Link |
| Setup Once, Secure Always: A Single-Setup Secure Federated Learning Aggregation Protocol with Forward and Backward Secrecy for Dynamic Users | arXiv | 2025 | Link |
| Sharing GPUs and Programmable Switches in a Federated Testbed with SHARY | arXiv | 2025 | Link |
| Sharing Knowledge without Sharing Data: Stitches can improve ensembles of disjointly trained models | arXiv | 2025 | Link |
| Sharing with Frictions: Limited Transfers and Costly Inspections | arXiv | 2025 | Link |
| Sharp Gaussian approximations for Decentralized Federated Learning | arXiv | 2025 | Link |
| Sharpness-aware Federated Graph Learning | arXiv | 2025 | Link |
| Sheaf-Based Decentralized Multimodal Learning for Next-Generation Wireless Communication Systems | arXiv | 2025 | Link |
| Sherlock: A Dataset for Process-aware Intrusion Detection Research on Power Grid Networks | arXiv | 2025 | Link |
| Shift Happens: Mixture of Experts based Continual Adaptation in Federated Learning | arXiv | 2025 | Link |
| Sigil: Server-Enforced Watermarking in U-Shaped Split Federated Learning via Gradient Injection | arXiv | 2025 | Link |
| SimDeep: Federated 3D Indoor Localization via Similarity-Aware Aggregation | arXiv | 2025 | Link |
| SimQFL: A Quantum Federated Learning Simulator with Real-Time Visualization | arXiv | 2025 | Link |
| Simplified Swarm Learning Framework for Robust and Scalable Diagnostic Services in Cancer Histopathology | arXiv | 2025 | Link |
| Single-Round Scalable Analytic Federated Learning | arXiv | 2025 | Link |
| Siren Federate: Bridging document, relational, and graph models for exploratory graph analysis | arXiv | 2025 | Link |
| Sistema de Reconocimiento Facial Federado en Conjuntos Abiertos basado en OpenMax | arXiv | 2025 | Link |
| Site-Level Fine-Tuning with Progressive Layer Freezing: Towards Robust Prediction of Bronchopulmonary Dysplasia from Day-1 Chest Radiographs in Extremely Preterm Infants | arXiv | 2025 | Link |
| Situational Awareness as the Imperative Capability for Disaster Resilience in the Era of Complex Hazards and Artificial Intelligence | arXiv | 2025 | Link |
| SketchGuard: Scaling Byzantine-Robust Decentralized Federated Learning via Sketch-Based Screening | arXiv | 2025 | Link |
| Sketched Gaussian Mechanism for Private Federated Learning | arXiv | 2025 | Link |
| Skewness-Guided Pruning of Multimodal Swin Transformers for Federated Skin Lesion Classification on Edge Devices | arXiv | 2025 | Link |
| SkyTrust: Blockchain-Enhanced UAV Security for NTNs with Dynamic Trust and Energy-Aware Consensus | arXiv | 2025 | Link |
| Small-Scale-Fading-Aware Resource Allocation in Wireless Federated Learning | arXiv | 2025 | Link |
| SmartFLow: A Communication-Efficient SDN Framework for Cross-Silo Federated Learning | arXiv | 2025 | Link |
| Smoothed Normalization for Efficient Distributed Private Optimization | arXiv | 2025 | Link |
| Smoothing ADMM for Non-convex and Non-smooth Hierarchical Federated Learning | arXiv | 2025 | Link |
| Social Network User Profiling for Anomaly Detection Based on Graph Neural Networks | arXiv | 2025 | Link |
| Socially inspired Adaptive Coalition and Client Selection in Federated Learning | arXiv | 2025 | Link |
| Soft Separation and Distillation: Toward Global Uniformity in Federated Unsupervised Learning | arXiv | 2025 | Link |
| Soft-Label Caching and Sharpening for Communication-Efficient Federated Distillation | arXiv | 2025 | Link |
| Sovereign AI for 6G: Towards the Future of AI-Native Networks | arXiv | 2025 | Link |
| Sparse Incremental Aggregation in Satellite Federated Learning | arXiv | 2025 | Link |
| Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 | arXiv | 2025 | Link |
| Sparsification Under Siege: Defending Against Poisoning Attacks in Communication-Efficient Federated Learning | arXiv | 2025 | Link |
| SparsyFed: Sparse Adaptive Federated Training | arXiv | 2025 | Link |
| Spatio-Temporal Graph Neural Networks for Dairy Farm Sustainability Forecasting and Counterfactual Policy Analysis | arXiv | 2025 | Link |
| Spatio-Temporal Representation Decoupling and Enhancement for Federated Instrument Segmentation in Surgical Videos | arXiv | 2025 | Link |
| Spattack: Subgroup Poisoning Attacks on Federated Recommender Systems | arXiv | 2025 | Link |
| Spectral Sentinel: Scalable Byzantine-Robust Decentralized Federated Learning via Sketched Random Matrix Theory on Blockchain | arXiv | 2025 | Link |
| SpectralKrum: A Spectral-Geometric Defense Against Byzantine Attacks in Federated Learning | arXiv | 2025 | Link |
| Spillovers and Effect Attenuation in Firearm Policy Research in the United States | arXiv | 2025 | Link |
| Split Federated Learning for Low-Altitude Wireless Networks: Joint Sensing, Communication, Computation, and Control Co-design | arXiv | 2025 | Link |
| Split Learning-Enabled Framework for Secure and Light-weight Internet of Medical Things Systems | arXiv | 2025 | Link |
| Split-n-Chain: Privacy-Preserving Multi-Node Split Learning with Blockchain-Based Auditability | arXiv | 2025 | Link |
| Sporadic Federated Learning Approach in Quantum Environment to Tackle Quantum Noise | arXiv | 2025 | Link |
| Squares of subcubic planar graphs without cycles of length 4-8 are 6-choosable | arXiv | 2025 | Link |
| Stability of Positive Mass Theorem for Static Quasi-Local Energy of Compact (Locally) Hyperbolic Graphical Manifolds | arXiv | 2025 | Link |
| Stabilizing Federated Learning under Extreme Heterogeneity with HeteRo-Select | arXiv | 2025 | Link |
| Stablecoins and the Emerging Hybrid Monetary Ecosystems | arXiv | 2025 | Link |
| Stackelberg Game Based Performance Optimization in Digital Twin Assisted Federated Learning over NOMA Networks | arXiv | 2025 | Link |
| Standing Firm in 5G: A Single-Round, Dropout-Resilient Secure Aggregation for Federated Learning | arXiv | 2025 | Link |
| State Similarity in Modular Superconducting Quantum Processors with Classical Communications | arXiv | 2025 | Link |
| Stealth by Conformity: Evading Robust Aggregation through Adaptive Poisoning | arXiv | 2025 | Link |
| Stochastic Homogenization of the Hamilton-Jacobi Equation on Manifolds | arXiv | 2025 | Link |
| Straddling Two Platforms: From Twitter to Mastodon, an Analysis of the Evolution of an Unfinished Social Media Migration | arXiv | 2025 | Link |
| Straggler-Resilient Federated Learning over A Hybrid Conventional and Pinching Antenna Network | arXiv | 2025 | Link |
| Stragglers Can Contribute More: Uncertainty-Aware Distillation for Asynchronous Federated Learning | arXiv | 2025 | Link |
| Strategies for Improving Communication Efficiency in Distributed and Federated Learning: Compression, Local Training, and Personalization | arXiv | 2025 | Link |
| Stratify: Rethinking Federated Learning for Non-IID Data through Balanced Sampling | arXiv | 2025 | Link |
| Streaming Federated Learning with Markovian Data | arXiv | 2025 | Link |
| Strengthening national capability in urban climate science: an Australian perspective | arXiv | 2025 | Link |
| Structure of Metric $1$-currents: approximation by normal currents and representation results | arXiv | 2025 | Link |
| Studying Various Activation Functions and Non-IID Data for Machine Learning Model Robustness | arXiv | 2025 | Link |
| Subgraph Federated Learning for Local Generalization | arXiv | 2025 | Link |
| Subgraph Federated Learning via Spectral Methods | arXiv | 2025 | Link |
| Supporting Dynamic Agentic Workloads: How Data and Agents Interact | arXiv | 2025 | Link |
| Supporting a Sustainable and Inclusive Urban Agriculture Federation using Dashboarding | arXiv | 2025 | Link |
| Supporting the development of Machine Learning for fundamental science in a federated Cloud with the AI_INFN platform | arXiv | 2025 | Link |
| Survey of HPC in US Research Institutions | arXiv | 2025 | Link |
| Switch-Based Multi-Part Neural Network | arXiv | 2025 | Link |
| Sybil-based Virtual Data Poisoning Attacks in Federated Learning | arXiv | 2025 | Link |
| SyncFed: Time-Aware Federated Learning through Explicit Timestamping and Synchronization | arXiv | 2025 | Link |
| Synergies between Federated Foundation Models and Smart Power Grids | arXiv | 2025 | Link |
| Synergizing AI and Digital Twins for Next-Generation Network Optimization, Forecasting, and Security | arXiv | 2025 | Link |
| Synesthesia of Machines (SoM)-Aided FDD Precoding with Sensing Heterogeneity: A Vertical Federated Learning Approach | arXiv | 2025 | Link |
| Synesthesia of Machines (SoM)-Aided Online FDD Precoding via Heterogeneous Multi-Modal Sensing: A Vertical Federated Learning Approach | arXiv | 2025 | Link |
| System Security Framework for 5G Advanced /6G IoT Integrated Terrestrial Network-Non-Terrestrial Network (TN-NTN) with AI-Enabled Cloud Security | arXiv | 2025 | Link |
| TACO: Tackling Over-correction in Federated Learning with Tailored Adaptive Correction | arXiv | 2025 | Link |
| TACTFL: Temporal Contrastive Training for Multi-modal Federated Learning with Similarity-guided Model Aggregation | arXiv | 2025 | Link |
| TAP: Two-Stage Adaptive Personalization of Multi-Task and Multi-Modal Foundation Models in Federated Learning | arXiv | 2025 | Link |
| TBRD: TESLA Authenticated UAS Broadcast Remote ID | arXiv | 2025 | Link |
| TOFA: Training-Free One-Shot Federated Adaptation for Vision-Language Models | arXiv | 2025 | Link |
| TT-Prune: Joint Model Pruning and Resource Allocation for Communication-efficient Time-triggered Federated Learning | arXiv | 2025 | Link |
| Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation | arXiv | 2025 | Link |
| Tackling Feature and Sample Heterogeneity in Decentralized Multi-Task Learning: A Sheaf-Theoretic Approach | arXiv | 2025 | Link |
| Tackling Federated Unlearning as a Parameter Estimation Problem | arXiv | 2025 | Link |
| Taming Volatility: Stable and Private QUIC Classification with Federated Learning | arXiv | 2025 | Link |
| Targeted Attacks and Defenses for Distributed Federated Learning in Vehicular Networks | arXiv | 2025 | Link |
| Targeted Data Fusion for Causal Survival Analysis Under Distribution Shift | arXiv | 2025 | Link |
| Task-Agnostic Federated Continual Learning via Replay-Free Gradient Projection | arXiv | 2025 | Link |
| Task-Agnostic Federation over Decentralized Data: Research Landscape and Visions | arXiv | 2025 | Link |
| Task-Agnostic Semantic Communications Relying on Information Bottleneck and Federated Meta-Learning | arXiv | 2025 | Link |
| TaxAgent: How Large Language Model Designs Fiscal Policy | arXiv | 2025 | Link |
| TaxCalcBench: Evaluating Frontier Models on the Tax Calculation Task | arXiv | 2025 | Link |
| TaylorPODA: A Taylor Expansion-Based Method to Improve Post-Hoc Attributions for Opaque Models | arXiv | 2025 | Link |
| Technical and Legal Aspects of Federated Learning in Bioinformatics: Applications, Challenges and Opportunities | arXiv | 2025 | Link |
| Technical note on Fisher Information for Robust Federated Cross-Validation | arXiv | 2025 | Link |
| Temporal Analysis of Adversarial Attacks in Federated Learning | arXiv | 2025 | Link |
| Temporally Extending Existing Web Archive Collections for Longitudinal Analysis | arXiv | 2025 | Link |
| Ten Challenging Problems in Federated Foundation Models | arXiv | 2025 | Link |
| The Accountability Paradox: How Platform API Restrictions Undermine AI Transparency Mandates | arXiv | 2025 | Link |
| The Actor-Critic Update Order Matters for PPO in Federated Reinforcement Learning | arXiv | 2025 | Link |
| The Athenian Academy: A Seven-Layer Architecture Model for Multi-Agent Systems | arXiv | 2025 | Link |
| The Built-In Robustness of Decentralized Federated Averaging to Bad Data | arXiv | 2025 | Link |
| The CHIMERAS Project: Design Framework for the Collisionless HIgh-beta Magnetized Experiment Researching Astrophysical Systems | arXiv | 2025 | Link |
| The Case for a Horizontal Federated AI operating System for Telcos | arXiv | 2025 | Link |
| The Cost of Adaptation under Differential Privacy: Optimal Adaptive Federated Density Estimation | arXiv | 2025 | Link |
| The Dawn of Disaggregation and the Coherence Conundrum: A Call for Federated Coherence | arXiv | 2025 | Link |
| The Gaussian Mixing Mechanism: Renyi Differential Privacy via Gaussian Sketches | arXiv | 2025 | Link |
| The HEAL Data Platform | arXiv | 2025 | Link |
| The Human Capital Ontology | arXiv | 2025 | Link |
| The Impact Analysis of Delays in Asynchronous Federated Learning with Data Heterogeneity for Edge Intelligence | arXiv | 2025 | Link |
| The MICCAI Federated Tumor Segmentation (FeTS) Challenge 2024: Efficient and Robust Aggregation Methods for Federated Learning | arXiv | 2025 | Link |
| The Malaysian Election Corpus (MECo): Electoral Maps and Cartograms from 1954 to 2025 | arXiv | 2025 | Link |
| The Malaysian Election Corpus (MECo): Federal and State-Level Election Results from 1955 to 2025 | arXiv | 2025 | Link |
| The Other Side of the Coin: Unveiling the Downsides of Model Aggregation in Federated Learning from a Layer-peeled Perspective | arXiv | 2025 | Link |
| The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning | arXiv | 2025 | Link |
| The Probability of Food Security: A new longitudinal data set using the Panel Study of Income Dynamics | arXiv | 2025 | Link |
| The Robustness of Spiking Neural Networks in Federated Learning with Compression Against Non-omniscient Byzantine Attacks | arXiv | 2025 | Link |
| The Role of Federated Learning in Improving Financial Security: A Survey | arXiv | 2025 | Link |
| The Role of High-Performance GPU Resources in Large Language Model Based Radiology Imaging Diagnosis | arXiv | 2025 | Link |
| The Sherpa.ai Blind Vertical Federated Learning Paradigm to Minimize the Number of Communications | arXiv | 2025 | Link |
| The Space-Time Connectivity Theorem for Normal Currents | arXiv | 2025 | Link |
| The Transition from Centralized Machine Learning to Federated Learning for Mental Health in Education: A Survey of Current Methods and Future Directions | arXiv | 2025 | Link |
| The Workflow as Medium: A Framework for Navigating Human-AI Co-Creation | arXiv | 2025 | Link |
| The World As Large Language Models See It: Exploring the reliability of LLMs in representing geographical features | arXiv | 2025 | Link |
| The broken sample problem revisited: Proof of a conjecture by Bai-Hsing and high-dimensional extensions | arXiv | 2025 | Link |
| Third-Party Credit Guarantees and the Cost of Debt: Evidence from Corporate Loans | arXiv | 2025 | Link |
| Three Fundamental Questions in Modern Infinite-Domain Constraint Satisfaction | arXiv | 2025 | Link |
| TikTok Rewards Divisive Political Messaging During the 2025 German Federal Election | arXiv | 2025 | Link |
| Time-Varying Volatility of Bank Betas | arXiv | 2025 | Link |
| Time-to-Event Modeling with Pseudo-Observations in Federated Settings | arXiv | 2025 | Link |
| Time-varying Mixing Matrix Design for Energy-efficient Decentralized Federated Learning | arXiv | 2025 | Link |
| Timely Parameter Updating in Over-the-Air Federated Learning | arXiv | 2025 | Link |
| TinyProto: Communication-Efficient Federated Learning with Sparse Prototypes in Resource-Constrained Environments | arXiv | 2025 | Link |
| To Squelch or not to Squelch: Enabling Improved Message Dissemination on the XRP Ledger | arXiv | 2025 | Link |
| ToFU: Transforming How Federated Learning Systems Forget User Data | arXiv | 2025 | Link |
| Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization | arXiv | 2025 | Link |
| Tool-Aided Evolutionary LLM for Generative Policy Toward Efficient Resource Management in Wireless Federated Learning | arXiv | 2025 | Link |
| Topological Federated Clustering via Gravitational Potential Fields under Local Differential Privacy | arXiv | 2025 | Link |
| Toward Bundler-Independent Module Federations: Enabling Typed Micro-Frontend Architectures | arXiv | 2025 | Link |
| Toward Dignity-Aware AI: Next-Generation Elderly Monitoring from Fall Detection to ADL | arXiv | 2025 | Link |
| Toward Fair Federated Learning under Demographic Disparities and Data Imbalance | arXiv | 2025 | Link |
| Toward Federated DeePC: borrowing data from similar systems | arXiv | 2025 | Link |
| Toward Goal-Oriented Communication in Multi-Agent Systems: An overview | arXiv | 2025 | Link |
| Toward Malicious Clients Detection in Federated Learning | arXiv | 2025 | Link |
| Toward Responsible Federated Large Language Models: Leveraging a Safety Filter and Constitutional AI | arXiv | 2025 | Link |
| Toward Secure and Compliant AI: Organizational Standards and Protocols for NLP Model Lifecycle Management | arXiv | 2025 | Link |
| Toward provably private analytics and insights into GenAI use | arXiv | 2025 | Link |
| Towards 6G Intelligence: The Role of Generative AI in Future Wireless Networks | arXiv | 2025 | Link |
| Towards Adapting Federated & Quantum Machine Learning for Network Intrusion Detection: A Survey | arXiv | 2025 | Link |
| Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence | arXiv | 2025 | Link |
| Towards Carbon-Aware Container Orchestration: Predicting Workload Energy Consumption with Federated Learning | arXiv | 2025 | Link |
| Towards Communication-Efficient Adversarial Federated Learning for Robust Edge Intelligence | arXiv | 2025 | Link |
| Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data | arXiv | 2025 | Link |
| Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows | arXiv | 2025 | Link |
| Towards Detecting Persuasion on Social Media: From Model Development to Insights on Persuasion Strategies | arXiv | 2025 | Link |
| Towards Dynamic Urban Scene Synthesis: The Digital Twin Descriptor Service | arXiv | 2025 | Link |
| Towards Effective Federated Graph Foundation Model via Mitigating Knowledge Entanglement | arXiv | 2025 | Link |
| Towards Efficient Federated Learning of Networked Mixture-of-Experts for Mobile Edge Computing | arXiv | 2025 | Link |
| Towards Explainable and Lightweight AI for Real-Time Cyber Threat Hunting in Edge Networks | arXiv | 2025 | Link |
| Towards FAIR and federated Data Ecosystems for interdisciplinary Research | arXiv | 2025 | Link |
| Towards Federated Digital Twin Platforms | arXiv | 2025 | Link |
| Towards Federated Multi-Armed Bandit Learning for Content Dissemination using Swarm of UAVs | arXiv | 2025 | Link |
| Towards Graph-Based Privacy-Preserving Federated Learning: ModelNet -- A ResNet-based Model Classification Dataset | arXiv | 2025 | Link |
| Towards Group Fairness with Multiple Sensitive Attributes in Federated Foundation Models | arXiv | 2025 | Link |
| Towards Heterogeneity-Aware and Energy-Efficient Topology Optimization for Decentralized Federated Learning in Edge Environment | arXiv | 2025 | Link |
| Towards Heterogeneous Quantum Federated Learning: Challenges and Solutions | arXiv | 2025 | Link |
| Towards Intelligent Transportation with Pedestrians and Vehicles In-the-Loop: A Surveillance Video-Assisted Federated Digital Twin Framework | arXiv | 2025 | Link |
| Towards One-shot Federated Learning: Advances, Challenges, and Future Directions | arXiv | 2025 | Link |
| Towards Optimal Heterogeneous Client Sampling in Multi-Model Federated Learning | arXiv | 2025 | Link |
| Towards Personalized Quantum Federated Learning for Anomaly Detection | arXiv | 2025 | Link |
| Towards Privacy-Preserving Anomaly-Based Intrusion Detection in Energy Communities | arXiv | 2025 | Link |
| Towards Privacy-Preserving Data-Driven Education: The Potential of Federated Learning | arXiv | 2025 | Link |
| Towards Privacy-Preserving and Heterogeneity-aware Split Federated Learning via Probabilistic Masking | arXiv | 2025 | Link |
| Towards Privacy-preserved Pre-training of Remote Sensing Foundation Models with Federated Mutual-guidance Learning | arXiv | 2025 | Link |
| Towards Resilient Federated Learning in CyberEdge Networks: Recent Advances and Future Trends | arXiv | 2025 | Link |
| Towards Robust Knowledge Removal in Federated Learning with High Data Heterogeneity | arXiv | 2025 | Link |
| Towards Seamless Hierarchical Federated Learning under Intermittent Client Participation: A Stagewise Decision-Making Methodology | arXiv | 2025 | Link |
| Towards Straggler-Resilient Split Federated Learning: An Unbalanced Update Approach | arXiv | 2025 | Link |
| Towards Trustworthy Federated Learning | arXiv | 2025 | Link |
| Towards Trustworthy Federated Learning with Untrusted Participants | arXiv | 2025 | Link |
| Towards Unbiased Federated Graph Learning: Label and Topology Perspectives | arXiv | 2025 | Link |
| Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling | arXiv | 2025 | Link |
| Towards Verifiable Federated Unlearning: Framework, Challenges, and The Road Ahead | arXiv | 2025 | Link |
| Towards a Distributed Federated Learning Aggregation Placement using Particle Swarm Intelligence | arXiv | 2025 | Link |
| Towards a Larger Model via One-Shot Federated Learning on Heterogeneous Client Models | arXiv | 2025 | Link |
| Towards eco friendly cybersecurity: machine learning based anomaly detection with carbon and energy metrics | arXiv | 2025 | Link |
| Towards resilient cities: A hybrid simulation framework for risk mitigation through data driven decision making | arXiv | 2025 | Link |
| Traceable Black-box Watermarks for Federated Learning | arXiv | 2025 | Link |
| Trade-off in Estimating the Number of Byzantine Clients in Federated Learning | arXiv | 2025 | Link |
| Trading-off Accuracy and Communication Cost in Federated Learning | arXiv | 2025 | Link |
| Training Together, Diagnosing Better: Federated Learning for Collagen VI-Related Dystrophies | arXiv | 2025 | Link |
| TrajSyn: Privacy-Preserving Dataset Distillation from Federated Model Trajectories for Server-Side Adversarial Training | arXiv | 2025 | Link |
| Trans-XFed: An Explainable Federated Learning for Supply Chain Credit Assessment | arXiv | 2025 | Link |
| Transformer-Based Extraction of Statutory Definitions from the U.S. Code | arXiv | 2025 | Link |
| Translating Federated Learning Algorithms in Python into CSP Processes Using ChatGPT | arXiv | 2025 | Link |
| Traversal Learning: A Lossless And Efficient Distributed Learning Framework | arXiv | 2025 | Link |
| Tree-based Models for Vertical Federated Learning: A Survey | arXiv | 2025 | Link |
| TreeFedDG: Alleviating Global Drift in Federated Domain Generalization for Medical Image Segmentation | arXiv | 2025 | Link |
| TriCon-SF: A Triple-Shuffle and Contribution-Aware Serial Federated Learning Framework for Heterogeneous Healthcare Data | arXiv | 2025 | Link |
| TrojanDam: Detection-Free Backdoor Defense in Federated Learning through Proactive Model Robustification utilizing OOD Data | arXiv | 2025 | Link |
| TrustChain: A Blockchain Framework for Auditing and Verifying Aggregators in Decentralized Federated Learning | arXiv | 2025 | Link |
| Trusted Compute Units: A Framework for Chained Verifiable Computations | arXiv | 2025 | Link |
| Trusted Knowledge Extraction for Operations and Maintenance Intelligence | arXiv | 2025 | Link |
| Trustless Federated Learning at Edge-Scale: A Compositional Architecture for Decentralized, Verifiable, and Incentive-Aligned Coordination | arXiv | 2025 | Link |
| Trustworthy GenAI over 6G: Integrated Applications and Security Frameworks | arXiv | 2025 | Link |
| Trustworthy Provenance for Big Data Science: a Modular Architecture Leveraging Blockchain in Federated Settings | arXiv | 2025 | Link |
| Trustworthy Semantic Communication for Vehicular Networks: Challenges and Solutions | arXiv | 2025 | Link |
| TwinSegNet: A Digital Twin-Enabled Federated Learning Framework for Brain Tumor Analysis | arXiv | 2025 | Link |
| UAV-Assisted Multi-Task Federated Learning with Task Knowledge Sharing | arXiv | 2025 | Link |
| UFGraphFR: Graph Federation Recommendation System based on User Text description features | arXiv | 2025 | Link |
| UG-FedDA: Uncertainty-Guided Federated Domain Adaptation for Multi-Center Alzheimer's Disease Detection | arXiv | 2025 | Link |
| US Code growth 1991-2025 | arXiv | 2025 | Link |
| UTM Performance Under Stressing Scenarios | arXiv | 2025 | Link |
| UltraFlwr -- An Efficient Federated Surgical Object Detection Framework | arXiv | 2025 | Link |
| Uncertainty-Aware Explainable Federated Learning | arXiv | 2025 | Link |
| Uncertainty-Aware Federated Learning for Cyber-Resilient Microgrid Energy Management | arXiv | 2025 | Link |
| Uncertainty-Aware Label Refinement on Hypergraphs for Personalized Federated Facial Expression Recognition | arXiv | 2025 | Link |
| Undermining Federated Learning Accuracy in EdgeIoT via Variational Graph Auto-Encoders | arXiv | 2025 | Link |
| Understanding Computational Science and Engineering (CSE) and Domain Science Skills Development in National Laboratory Postgraduate Internships | arXiv | 2025 | Link |
| Understanding Federated Learning from IID to Non-IID dataset: An Experimental Study | arXiv | 2025 | Link |
| UniTrans: A Unified Vertical Federated Knowledge Transfer Framework for Enhancing Cross-Hospital Collaboration | arXiv | 2025 | Link |
| UniVarFL: Uniformity and Variance Regularized Federated Learning for Heterogeneous Data | arXiv | 2025 | Link |
| Unified Alignment Protocol: Making Sense of the Unlabeled Data in New Domains | arXiv | 2025 | Link |
| UnifiedFL: A Dynamic Unified Learning Framework for Equitable Federation | arXiv | 2025 | Link |
| UnifyFL: Enabling Decentralized Cross-Silo Federated Learning | arXiv | 2025 | Link |
| Union: A Trust-minimized Bridge for Rootstock | arXiv | 2025 | Link |
| Uniting the World by Dividing it: Federated Maps to Enable Spatial Applications | arXiv | 2025 | Link |
| University Building Recognition Dataset in Thailand for the mission-oriented IoT sensor system | arXiv | 2025 | Link |
| Unlearning Imperative: Securing Trustworthy and Responsible LLMs through Engineered Forgetting | arXiv | 2025 | Link |
| Unlearning for Federated Online Learning to Rank: A Reproducibility Study | arXiv | 2025 | Link |
| Unlearning through Knowledge Overwriting: Reversible Federated Unlearning via Selective Sparse Adapter | arXiv | 2025 | Link |
| Unlocking Dynamic Inter-Client Spatial Dependencies: A Federated Spatio-Temporal Graph Learning Method for Traffic Flow Forecasting | arXiv | 2025 | Link |
| Unmasking Digital Falsehoods: A Comparative Analysis of LLM-Based Misinformation Detection Strategies | arXiv | 2025 | Link |
| Unsupervised Multi-Source Federated Domain Adaptation under Domain Diversity through Group-Wise Discrepancy Minimization | arXiv | 2025 | Link |
| Unsupervised Outlier Detection in Audit Analytics: A Case Study Using USA Spending Data | arXiv | 2025 | Link |
| Unveiling Hidden Threats: Using Fractal Triggers to Boost Stealthiness of Distributed Backdoor Attacks in Federated Learning | arXiv | 2025 | Link |
| Update Estimation and Scheduling for Over-the-Air Federated Learning with Energy Harvesting Devices | arXiv | 2025 | Link |
| Upgrade or Switch: Do We Need a Next-Gen Trusted Architecture for the Internet of AI Agents? | arXiv | 2025 | Link |
| Use of Air Quality Sensor Network Data for Real-time Pollution-Aware POI Suggestion | arXiv | 2025 | Link |
| User Behavior Analysis in Privacy Protection with Large Language Models: A Study on Privacy Preferences with Limited Data | arXiv | 2025 | Link |
| Using Federated Machine Learning in Predictive Maintenance of Jet Engines | arXiv | 2025 | Link |
| VFL-RPS: Relevant Participant Selection in Vertical Federated Learning | arXiv | 2025 | Link |
| VGFL-SA: Vertical Graph Federated Learning Structure Attack Based on Contrastive Learning | arXiv | 2025 | Link |
| VGS-ATD: Robust Distributed Learning for Multi-Label Medical Image Classification Under Heterogeneous and Imbalanced Conditions | arXiv | 2025 | Link |
| VLLFL: A Vision-Language Model Based Lightweight Federated Learning Framework for Smart Agriculture | arXiv | 2025 | Link |
| VTarbel: Targeted Label Attack with Minimal Knowledge on Detector-enhanced Vertical Federated Learning | arXiv | 2025 | Link |
| Validation of Various Normalization Methods for Brain Tumor Segmentation: Can Federated Learning Overcome This Heterogeneity? | arXiv | 2025 | Link |
| Variational Gaussian Mixture Manifold Models for Client-Specific Federated Personalization | arXiv | 2025 | Link |
| Vehicle-to-Grid Integration: Ensuring Grid Stability, Strengthening Cybersecurity, and Advancing Energy Market Dynamics | arXiv | 2025 | Link |
| Verifiability and Privacy in Federated Learning through Context-Hiding Multi-Key Homomorphic Authenticators | arXiv | 2025 | Link |
| Verifiable Fine-Tuning for LLMs: Zero-Knowledge Training Proofs Bound to Data Provenance and Policy | arXiv | 2025 | Link |
| Verifiable Passkey: The Decentralized Authentication Standard | arXiv | 2025 | Link |
| Verifiably Forgotten? Gradient Differences Still Enable Data Reconstruction in Federated Unlearning | arXiv | 2025 | Link |
| Vertical Federated Continual Learning via Evolving Prototype Knowledge | arXiv | 2025 | Link |
| Vertical Federated Learning for Failure-Cause Identification in Disaggregated Microwave Networks | arXiv | 2025 | Link |
| Vertical Federated Learning in Practice: The Good, the Bad, and the Ugly | arXiv | 2025 | Link |
| Video Object Recognition in Mobile Edge Networks: Local Tracking or Edge Detection? | arXiv | 2025 | Link |
| Vision Foundation Models in Medical Image Analysis: Advances and Challenges | arXiv | 2025 | Link |
| Vision Language Models in Medicine | arXiv | 2025 | Link |
| Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning | arXiv | 2025 | Link |
| WallStreetFeds: Client-Specific Tokens as Investment Vehicles in Federated Learning | arXiv | 2025 | Link |
| Warming Up for Zeroth-Order Federated Pre-Training with Low Resource Clients | arXiv | 2025 | Link |
| Watch Out for the Lifespan: Evaluating Backdoor Attacks Against Federated Model Adaptation | arXiv | 2025 | Link |
| Watermark Robustness and Radioactivity May Be at Odds in Federated Learning | arXiv | 2025 | Link |
| Wavelet Scattering Transform and Fourier Representation for Offline Detection of Malicious Clients in Federated Learning | arXiv | 2025 | Link |
| WeiDetect: Weibull Distribution-Based Defense against Poisoning Attacks in Federated Learning for Network Intrusion Detection Systems | arXiv | 2025 | Link |
| Welzijn.AI: Developing Responsible Conversational AI for Elderly Care through Stakeholder Involvement | arXiv | 2025 | Link |
| What Makes Local Updates Effective: The Role of Data Heterogeneity and Smoothness | arXiv | 2025 | Link |
| When Federated Learning Meets Quantum Computing: Survey and Research Opportunities | arXiv | 2025 | Link |
| When Quantum Federated Learning Meets Blockchain in 6G Networks | arXiv | 2025 | Link |
| When to Stop Federated Learning: Zero-Shot Generation of Synthetic Validation Data with Generative AI for Early Stopping | arXiv | 2025 | Link |
| Which Demographic Features Are Relevant for Individual Fairness Evaluation of U.S. Recidivism Risk Assessment Tools? | arXiv | 2025 | Link |
| Who to Trust? Aggregating Client Knowledge in Logit-Based Federated Learning | arXiv | 2025 | Link |
| Whom to Trust? Adaptive Collaboration in Personalized Federated Learning | arXiv | 2025 | Link |
| Why Federated Optimization Fails to Achieve Perfect Fitting? A Theoretical Perspective on Client-Side Optima | arXiv | 2025 | Link |
| Widening the Network Mitigates the Impact of Data Heterogeneity on FedAvg | arXiv | 2025 | Link |
| WikiDBGraph: A Data Management Benchmark Suite for Collaborative Learning over Database Silos | arXiv | 2025 | Link |
| WildfireGenome: Interpretable Machine Learning Reveals Local Drivers of Wildfire Risk and Their Cross-County Variation | arXiv | 2025 | Link |
| Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices | arXiv | 2025 | Link |
| Women's inheritance rights reforms and impact on women's empowerment: evidence from India | arXiv | 2025 | Link |
| X-VFL: A New Vertical Federated Learning Framework with Cross Completion and Decision Subspace Alignment | arXiv | 2025 | Link |
| XAI-Driven Client Selection for Federated Learning in Scalable 6G Network Slicing | arXiv | 2025 | Link |
| XFSC: A Catalogue of Trustable Semantic Metadata for Data Services and Providers | arXiv | 2025 | Link |
| You Are Your Own Best Teacher: Achieving Centralized-level Performance in Federated Learning under Heterogeneous and Long-tailed Data | arXiv | 2025 | Link |
| ZK-SenseLM: Verifiable Large-Model Wireless Sensing with Selective Abstention and Zero-Knowledge Attestation | arXiv | 2025 | Link |
| ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs | arXiv | 2025 | Link |
| Zero Trust Security Model Implementation in Microservices Architectures Using Identity Federation | arXiv | 2025 | Link |
| Zero-Knowledge Federated Learning: A New Trustworthy and Privacy-Preserving Distributed Learning Paradigm | arXiv | 2025 | Link |
| Zero-Knowledge Proof-Based Consensus for Blockchain-Secured Federated Learning | arXiv | 2025 | Link |
| Zero-Shot Decentralized Federated Learning | arXiv | 2025 | Link |
| Zero-Shot Visual Deepfake Detection: Can AI Predict and Prevent Fake Content Before It's Created? | arXiv | 2025 | Link |
| Zero-Trust Agentic Federated Learning for Secure IIoT Defense Systems | arXiv | 2025 | Link |
| Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things | arXiv | 2025 | Link |
| dreaMLearning: Data Compression Assisted Machine Learning | arXiv | 2025 | Link |
| mixEEG: Enhancing EEG Federated Learning for Cross-subject EEG Classification with Tailored mixup | arXiv | 2025 | Link |
| orb-QFL: Orbital Quantum Federated Learning | arXiv | 2025 | Link |
| pFedBBN: A Personalized Federated Test-Time Adaptation with Balanced Batch Normalization for Class-Imbalanced Data | arXiv | 2025 | Link |
| pFedDSH: Enabling Knowledge Transfer in Personalized Federated Learning through Data-free Sub-Hypernetwork | arXiv | 2025 | Link |
| pFedFair: Towards Optimal Group Fairness-Accuracy Trade-off in Heterogeneous Federated Learning | arXiv | 2025 | Link |
| pFedMMA: Personalized Federated Fine-Tuning with Multi-Modal Adapter for Vision-Language Models | arXiv | 2025 | Link |
| pFedSAM: Personalized Federated Learning of Segment Anything Model for Medical Image Segmentation | arXiv | 2025 | Link |
| pFedSOP : Accelerating Training Of Personalized Federated Learning Using Second-Order Optimization | arXiv | 2025 | Link |
| pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data | arXiv | 2025 | Link |
| pMixFed: Efficient Personalized Federated Learning through Adaptive Layer-Wise Mixup | arXiv | 2025 | Link |
| sat-QFL: Secure Quantum Federated Learning for Low Orbit Satellites | arXiv | 2025 | Link |
2024
| Title | Venue | Year | Link |
|---|---|---|---|
| $\mathsf{OPA}$: One-shot Private Aggregation with Single Client Interaction and its Applications to Federated Learning | arXiv | 2024 | Link |
| $r$Age-$k$: Communication-Efficient Federated Learning Using Age Factor | arXiv | 2024 | Link |
| $ζ$-QVAE: A Quantum Variational Autoencoder utilizing Regularized Mixed-state Latent Representations | arXiv | 2024 | Link |
| (FL)$^2$: Overcoming Few Labels in Federated Semi-Supervised Learning | arXiv | 2024 | Link |
| 1-D CNN-Based Online Signature Verification with Federated Learning | arXiv | 2024 | Link |
| A Bargaining-based Approach for Feature Trading in Vertical Federated Learning | arXiv | 2024 | Link |
| A Bayesian Framework for Clustered Federated Learning | arXiv | 2024 | Link |
| A Blockchain-based Reliable Federated Meta-learning for Metaverse: A Dual Game Framework | arXiv | 2024 | Link |
| A Communication and Computation Efficient Fully First-order Method for Decentralized Bilevel Optimization | arXiv | 2024 | Link |
| A Comparative Study of Sampling Methods with Cross-Validation in the FedHome Framework | arXiv | 2024 | Link |
| A Comprehensive Analysis of Secondary Coexistence in a Real-World CBRS Deployment | arXiv | 2024 | Link |
| A Comprehensive Guide to Explainable AI: From Classical Models to LLMs | arXiv | 2024 | Link |
| A Comprehensive Review: Impacts of Extreme Temperatures due to Climate Change on Power Grid Infrastructure and Operation | arXiv | 2024 | Link |
| A Comprehensive Survey of Federated Transfer Learning: Challenges, Methods and Applications | arXiv | 2024 | Link |
| A Comprehensive Survey on Joint Resource Allocation Strategies in Federated Edge Learning | arXiv | 2024 | Link |
| A Data-Centric Framework for Machine Listening Projects: Addressing Large-Scale Data Acquisition and Labeling through Active Learning | arXiv | 2024 | Link |
| A Differentially Private Blockchain-Based Approach for Vertical Federated Learning | arXiv | 2024 | Link |
| A Fast, Performant, Secure Distributed Training Framework For Large Language Model | arXiv | 2024 | Link |
| A Federated Approach to Few-Shot Hate Speech Detection for Marginalized Communities | arXiv | 2024 | Link |
| A Federated Deep Learning Approach for Privacy-Preserving Real-Time Transient Stability Predictions in Power Systems | arXiv | 2024 | Link |
| A Federated Framework for LLM-based Recommendation | arXiv | 2024 | Link |
| A Federated Learning Approach for Multi-stage Threat Analysis in Advanced Persistent Threat Campaigns | arXiv | 2024 | Link |
| A Federated Learning Approach to Privacy Preserving Offensive Language Identification | arXiv | 2024 | Link |
| A Federated Learning Benchmark on Tabular Data: Comparing Tree-Based Models and Neural Networks | arXiv | 2024 | Link |
| A Federated Learning Platform as a Service for Advancing Stroke Management in European Clinical Centers | arXiv | 2024 | Link |
| A Federated Learning-Friendly Approach for Parameter-Efficient Fine-Tuning of SAM in 3D Segmentation | arXiv | 2024 | Link |
| A Federated Online Restless Bandit Framework for Cooperative Resource Allocation | arXiv | 2024 | Link |
| A Framework for Leveraging Human Computation Gaming to Enhance Knowledge Graphs for Accuracy Critical Generative AI Applications | arXiv | 2024 | Link |
| A Framework for testing Federated Learning algorithms using an edge-like environment | arXiv | 2024 | Link |
| A GAN-Based Data Poisoning Attack Against Federated Learning Systems and Its Countermeasure | arXiv | 2024 | Link |
| A GAN-based data poisoning framework against anomaly detection in vertical federated learning | arXiv | 2024 | Link |
| A Game-Theoretic Framework for Privacy-Aware Client Sampling in Federated Learning | arXiv | 2024 | Link |
| A Generative AI Technique for Synthesizing a Digital Twin for U.S. Residential Solar Adoption and Generation | arXiv | 2024 | Link |
| A Grassroots Architecture to Supplant Global Digital Platforms by a Global Digital Democracy | arXiv | 2024 | Link |
| A Green Multi-Attribute Client Selection for Over-The-Air Federated Learning: A Grey-Wolf-Optimizer Approach | arXiv | 2024 | Link |
| A Hassle-free Algorithm for Private Learning in Practice: Don't Use Tree Aggregation, Use BLTs | arXiv | 2024 | Link |
| A Hierarchical Federated Learning Approach for the Internet of Things | arXiv | 2024 | Link |
| A Hierarchical Gradient Tracking Algorithm for Mitigating Subnet-Drift in Fog Learning Networks | arXiv | 2024 | Link |
| A High Energy-Efficiency Multi-core Neuromorphic Architecture for Deep SNN Training | arXiv | 2024 | Link |
| A Historical Trajectory Assisted Optimization Method for Zeroth-Order Federated Learning | arXiv | 2024 | Link |
| A Hybrid Federated Kernel Regularized Least Squares Algorithm | arXiv | 2024 | Link |
| A Joint Approach to Local Updating and Gradient Compression for Efficient Asynchronous Federated Learning | arXiv | 2024 | Link |
| A Joint Time and Energy-Efficient Federated Learning-based Computation Offloading Method for Mobile Edge Computing | arXiv | 2024 | Link |
| A KL-based Analysis Framework with Applications to Non-Descent Optimization Methods | arXiv | 2024 | Link |
| A Learning-Based Attack Framework to Break SOTA Poisoning Defenses in Federated Learning | arXiv | 2024 | Link |
| A Life-long Learning Intrusion Detection System for 6G-Enabled IoV | arXiv | 2024 | Link |
| A Mathematical Model of The Effects of Strike On Nigerian Universities | arXiv | 2024 | Link |
| A Multi-Level Approach for Class Imbalance Problem in Federated Learning for Remote Industry 4.0 Applications | arXiv | 2024 | Link |
| A Multiparty Homomorphic Encryption Approach to Confidential Federated Kaplan Meier Survival Analysis | arXiv | 2024 | Link |
| A Multivocal Literature Review on Privacy and Fairness in Federated Learning | arXiv | 2024 | Link |
| A Mutual Information Perspective on Federated Contrastive Learning | arXiv | 2024 | Link |
| A New Perspective to Boost Performance Fairness for Medical Federated Learning | arXiv | 2024 | Link |
| A New Theoretical Perspective on Data Heterogeneity in Federated Optimization | arXiv | 2024 | Link |
| A Novel Framework of Horizontal-Vertical Hybrid Federated Learning for EdgeIoT | arXiv | 2024 | Link |
| A Novel Privacy Enhancement Scheme with Dynamic Quantization for Federated Learning | arXiv | 2024 | Link |
| A Phone-based Distributed Ambient Temperature Measurement System with An Efficient Label-free Automated Training Strategy | arXiv | 2024 | Link |
| A Potential Game Perspective in Federated Learning | arXiv | 2024 | Link |
| A Practical Guide to Transcranial Ultrasonic Stimulation from the IFCN-endorsed ITRUSST Consortium | arXiv | 2024 | Link |
| A Resource-Adaptive Approach for Federated Learning under Resource-Constrained Environments | arXiv | 2024 | Link |
| A Review of Cybersecurity Incidents in the Food and Agriculture Sector | arXiv | 2024 | Link |
| A Robust Federated Learning Framework for Undependable Devices at Scale | arXiv | 2024 | Link |
| A Robust Multi-Stage Intrusion Detection System for In-Vehicle Network Security using Hierarchical Federated Learning | arXiv | 2024 | Link |
| A SER-based Device Selection Mechanism in Multi-bits Quantization Federated Learning | arXiv | 2024 | Link |
| A Science4Peace initiative: Alleviating the consequences of sanctions in international scientific cooperation | arXiv | 2024 | Link |
| A Secure and Trustworthy Network Architecture for Federated Learning Healthcare Applications | arXiv | 2024 | Link |
| A Semantic-Aware Multiple Access Scheme for Distributed, Dynamic 6G-Based Applications | arXiv | 2024 | Link |
| A Sharded Blockchain-Based Secure Federated Learning Framework for LEO Satellite Networks | arXiv | 2024 | Link |
| A Statistical Analysis of Deep Federated Learning for Intrinsically Low-dimensional Data | arXiv | 2024 | Link |
| A Stochastic Optimization Framework for Private and Fair Learning From Decentralized Data | arXiv | 2024 | Link |
| A Survey and Future Outlook on Indoor Location Fingerprinting Privacy Preservation | arXiv | 2024 | Link |
| A Survey for Large Language Models in Biomedicine | arXiv | 2024 | Link |
| A Survey of Privacy Threats and Defense in Vertical Federated Learning: From Model Life Cycle Perspective | arXiv | 2024 | Link |
| A Survey on Contribution Evaluation in Vertical Federated Learning | arXiv | 2024 | Link |
| A Survey on Federated Analytics: Taxonomy, Enabling Techniques, Applications and Open Issues | arXiv | 2024 | Link |
| A Survey on Federated Learning in Intelligent Transportation Systems | arXiv | 2024 | Link |
| A Survey on Federated Unlearning: Challenges and Opportunities | arXiv | 2024 | Link |
| A Survey on Group Fairness in Federated Learning: Challenges, Taxonomy of Solutions and Directions for Future Research | arXiv | 2024 | Link |
| A Survey on LoRA of Large Language Models | arXiv | 2024 | Link |
| A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security | arXiv | 2024 | Link |
| A Systematic Review of Federated Generative Models | arXiv | 2024 | Link |
| A Systematic Survey of the Gemini Principles for Digital Twin Ontologies | arXiv | 2024 | Link |
| A Trust-Centric Approach To Quantifying Maturity and Security in Internet Voting Protocols | arXiv | 2024 | Link |
| A Trustworthy AIoT-enabled Localization System via Federated Learning and Blockchain | arXiv | 2024 | Link |
| A Tutorial of Personalized Federated Recommender Systems: Recent Advances and Future Directions | arXiv | 2024 | Link |
| A Two-Stage Federated Learning Approach for Industrial Prognostics Using Large-Scale High-Dimensional Signals | arXiv | 2024 | Link |
| A Unified Learn-to-Distort-Data Framework for Privacy-Utility Trade-off in Trustworthy Federated Learning | arXiv | 2024 | Link |
| A Universal Metric of Dataset Similarity for Cross-silo Federated Learning | arXiv | 2024 | Link |
| A V2X-based Privacy Preserving Federated Measuring and Learning System | arXiv | 2024 | Link |
| A Web-Based Solution for Federated Learning with LLM-Based Automation | arXiv | 2024 | Link |
| A Whole-Process Certifiably Robust Aggregation Method Against Backdoor Attacks in Federated Learning | arXiv | 2024 | Link |
| A cautionary tale on the cost-effectiveness of collaborative AI in real-world medical applications | arXiv | 2024 | Link |
| A chaotic maps-based privacy-preserving distributed deep learning for incomplete and Non-IID datasets | arXiv | 2024 | Link |
| A deep cut into Split Federated Self-supervised Learning | arXiv | 2024 | Link |
| A federated large language model for long-term time series forecasting | arXiv | 2024 | Link |
| A large collection of bioinformatics question-query pairs over federated knowledge graphs: methodology and applications | arXiv | 2024 | Link |
| A look under the hood of the Interactive Deep Learning Enterprise (No-IDLE) | arXiv | 2024 | Link |
| A privacy-preserving, distributed and cooperative FCM-based learning approach for cancer research | arXiv | 2024 | Link |
| A review on different techniques used to combat the non-IID and heterogeneous nature of data in FL | arXiv | 2024 | Link |
| A simple proof of the $1$-dimensional flat chain conjecture | arXiv | 2024 | Link |
| A survey on secure decentralized optimization and learning | arXiv | 2024 | Link |
| A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs | arXiv | 2024 | Link |
| A3E: Aligned and Augmented Adversarial Ensemble for Accurate, Robust and Privacy-Preserving EEG Decoding | arXiv | 2024 | Link |
| ACTION: Augmentation and Computation Toolbox for Brain Network Analysis with Functional MRI | arXiv | 2024 | Link |
| ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning | arXiv | 2024 | Link |
| ADVENT: Attack/Anomaly Detection in VANETs | arXiv | 2024 | Link |
| AFL: A Single-Round Analytic Approach for Federated Learning with Pre-trained Models | arXiv | 2024 | Link |
| AI Emergency Preparedness: Examining the federal government's ability to detect and respond to AI-related national security threats | arXiv | 2024 | Link |
| AI-based traffic analysis in digital twin networks | arXiv | 2024 | Link |
| ALANINE: A Novel Decentralized Personalized Federated Learning For Heterogeneous LEO Satellite Constellation | arXiv | 2024 | Link |
| ALPACA -- Adaptive Learning Pipeline for Comprehensive AI | arXiv | 2024 | Link |
| ATM: Improving Model Merging by Alternating Tuning and Merging | arXiv | 2024 | Link |
| Accelerated Distributed Stochastic Non-Convex Optimization over Time-Varying Directed Networks | arXiv | 2024 | Link |
| Accelerated Methods with Compression for Horizontal and Vertical Federated Learning | arXiv | 2024 | Link |
| Accelerated Stochastic ExtraGradient: Mixing Hessian and Gradient Similarity to Reduce Communication in Distributed and Federated Learning | arXiv | 2024 | Link |
| Accelerating Deep Learning with Fixed Time Budget | arXiv | 2024 | Link |
| Accelerating Energy-Efficient Federated Learning in Cell-Free Networks with Adaptive Quantization | arXiv | 2024 | Link |
| Accelerating Federated Learning by Selecting Beneficial Herd of Local Gradients | arXiv | 2024 | Link |
| Accelerating Heterogeneous Federated Learning with Closed-form Classifiers | arXiv | 2024 | Link |
| Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model Aggregation | arXiv | 2024 | Link |
| Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization | arXiv | 2024 | Link |
| Achieving Fairness Across Local and Global Models in Federated Learning | arXiv | 2024 | Link |
| Achieving Linear Speedup in Asynchronous Federated Learning with Heterogeneous Clients | arXiv | 2024 | Link |
| Act in Collusion: A Persistent Distributed Multi-Target Backdoor in Federated Learning | arXiv | 2024 | Link |
| AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity | arXiv | 2024 | Link |
| AdaFed: Fair Federated Learning via Adaptive Common Descent Direction | arXiv | 2024 | Link |
| AdaFedFR: Federated Face Recognition with Adaptive Inter-Class Representation Learning | arXiv | 2024 | Link |
| AdaptSFL: Adaptive Split Federated Learning in Resource-constrained Edge Networks | arXiv | 2024 | Link |
| Adapting MLOps for Diverse In-Network Intelligence in 6G Era: Challenges and Solutions | arXiv | 2024 | Link |
| Adaptive Active Inference Agents for Heterogeneous and Lifelong Federated Learning | arXiv | 2024 | Link |
| Adaptive Aggregation Weights for Federated Segmentation of Pancreas MRI | arXiv | 2024 | Link |
| Adaptive Client Selection with Personalization for Communication Efficient Federated Learning | arXiv | 2024 | Link |
| Adaptive Coded Federated Learning: Privacy Preservation and Straggler Mitigation | arXiv | 2024 | Link |
| Adaptive Decentralized Federated Learning in Energy and Latency Constrained Wireless Networks | arXiv | 2024 | Link |
| Adaptive Differential Privacy in Federated Learning: A Priority-Based Approach | arXiv | 2024 | Link |
| Adaptive Digital Twin and Communication-Efficient Federated Learning Network Slicing for 5G-enabled Internet of Things | arXiv | 2024 | Link |
| Adaptive Federated Learning Over the Air | arXiv | 2024 | Link |
| Adaptive Federated Learning in Heterogeneous Wireless Networks with Independent Sampling | arXiv | 2024 | Link |
| Adaptive Gradient Clipping for Robust Federated Learning | arXiv | 2024 | Link |
| Adaptive Guidance for Local Training in Heterogeneous Federated Learning | arXiv | 2024 | Link |
| Adaptive Heterogeneous Client Sampling for Federated Learning over Wireless Networks | arXiv | 2024 | Link |
| Adaptive Money Market Interest Rate Strategy Utilizing Control Theory | arXiv | 2024 | Link |
| Adaptive Parameter-Efficient Federated Fine-Tuning on Heterogeneous Devices | arXiv | 2024 | Link |
| Adaptive Personalized Over-the-Air Federated Learning with Reflecting Intelligent Surfaces | arXiv | 2024 | Link |
| Adaptive Quantization Resolution and Power Control for Federated Learning over Cell-free Networks | arXiv | 2024 | Link |
| Adaptive Signal Analysis for Automated Subsurface Defect Detection Using Impact Echo in Concrete Slabs | arXiv | 2024 | Link |
| Addressing Data Heterogeneity in Federated Learning of Cox Proportional Hazards Models | arXiv | 2024 | Link |
| Addressing Heterogeneity in Federated Learning: Challenges and Solutions for a Shared Production Environment | arXiv | 2024 | Link |
| Addressing Heterogeneity in Federated Load Forecasting with Personalization Layers | arXiv | 2024 | Link |
| Addressing Skewed Heterogeneity via Federated Prototype Rectification with Personalization | arXiv | 2024 | Link |
| Advances and Open Challenges in Federated Foundation Models | arXiv | 2024 | Link |
| Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework | arXiv | 2024 | Link |
| Advances in Privacy Preserving Federated Learning to Realize a Truly Learning Healthcare System | arXiv | 2024 | Link |
| Advances in Robust Federated Learning: A Survey with Heterogeneity Considerations | arXiv | 2024 | Link |
| Advancing Hybrid Defense for Byzantine Attacks in Federated Learning | arXiv | 2024 | Link |
| Advancing IIoT with Over-the-Air Federated Learning: The Role of Iterative Magnitude Pruning | arXiv | 2024 | Link |
| Advancing oncology with federated learning: transcending boundaries in breast, lung, and prostate cancer. A systematic review | arXiv | 2024 | Link |
| Adversarial Federated Consensus Learning for Surface Defect Classification Under Data Heterogeneity in IIoT | arXiv | 2024 | Link |
| Adversarially Guided Stateful Defense Against Backdoor Attacks in Federated Deep Learning | arXiv | 2024 | Link |
| Against Multifaceted Graph Heterogeneity via Asymmetric Federated Prompt Learning | arXiv | 2024 | Link |
| Age Aware Scheduling for Differentially-Private Federated Learning | arXiv | 2024 | Link |
| Age-of-Gradient Updates for Federated Learning over Random Access Channels | arXiv | 2024 | Link |
| Agent-oriented Joint Decision Support for Data Owners in Auction-based Federated Learning | arXiv | 2024 | Link |
| Aggregation Design for Personalized Federated Multi-Modal Learning over Wireless Networks | arXiv | 2024 | Link |
| Aggressive or Imperceptible, or Both: Network Pruning Assisted Hybrid Byzantines in Federated Learning | arXiv | 2024 | Link |
| Aiding Global Convergence in Federated Learning via Local Perturbation and Mutual Similarity Information | arXiv | 2024 | Link |
| Algorithm-Assisted Decision Making and Racial Disparities in Housing: A Study of the Allegheny Housing Assessment Tool | arXiv | 2024 | Link |
| Algorithmic Misjudgement in Google Search Results: Evidence from Auditing the US Online Electoral Information Environment | arXiv | 2024 | Link |
| Algorithms for Collaborative Machine Learning under Statistical Heterogeneity | arXiv | 2024 | Link |
| An Adaptive Differential Privacy Method Based on Federated Learning | arXiv | 2024 | Link |
| An Aggregation-Free Federated Learning for Tackling Data Heterogeneity | arXiv | 2024 | Link |
| An Architecture Built for Federated Learning: Addressing Data Heterogeneity through Adaptive Normalization-Free Feature Recalibration | arXiv | 2024 | Link |
| An Auction-based Marketplace for Model Trading in Federated Learning | arXiv | 2024 | Link |
| An Autoencoder-Based Constellation Design for AirComp in Wireless Federated Learning | arXiv | 2024 | Link |
| An Element-Wise Weights Aggregation Method for Federated Learning | arXiv | 2024 | Link |
| An Empirical Analysis of Federated Learning Models Subject to Label-Flipping Adversarial Attack | arXiv | 2024 | Link |
| An Empirical Analysis on the Use and Reporting of National Security Letters | arXiv | 2024 | Link |
| An Enhanced Federated Prototype Learning Method under Domain Shift | arXiv | 2024 | Link |
| An Experimental Study of Different Aggregation Schemes in Semi-Asynchronous Federated Learning | arXiv | 2024 | Link |
| An Information Theoretic Perspective on Conformal Prediction | arXiv | 2024 | Link |
| An Innovative Networks in Federated Learning | arXiv | 2024 | Link |
| An Intelligent Native Network Slicing Security Architecture Empowered by Federated Learning | arXiv | 2024 | Link |
| An Interpretable Client Decision Tree Aggregation process for Federated Learning | arXiv | 2024 | Link |
| An Interview Study on Third-Party Cyber Threat Hunting Processes in the U.S. Department of Homeland Security | arXiv | 2024 | Link |
| An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning | arXiv | 2024 | Link |
| An advanced data fabric architecture leveraging homomorphic encryption and federated learning | arXiv | 2024 | Link |
| An evidence-based and critical analysis of the Fediverse decentralization promises | arXiv | 2024 | Link |
| An improved dense class in Sobolev spaces to manifolds | arXiv | 2024 | Link |
| Analog-digital Scheduling for Federated Learning: A Communication-Efficient Approach | arXiv | 2024 | Link |
| Analysis of Total Variation Minimization for Clustered Federated Learning | arXiv | 2024 | Link |
| Analysis of regularized federated learning | arXiv | 2024 | Link |
| Analysis, Modeling and Design of Personalized Digital Learning Environment | arXiv | 2024 | Link |
| Anomalous Client Detection in Federated Learning | arXiv | 2024 | Link |
| Anonymized Network Sensing Graph Challenge | arXiv | 2024 | Link |
| Anti-Byzantine Attacks Enabled Vehicle Selection for Asynchronous Federated Learning in Vehicular Edge Computing | arXiv | 2024 | Link |
| Apodotiko: Enabling Efficient Serverless Federated Learning in Heterogeneous Environments | arXiv | 2024 | Link |
| Application and practice of AI technology in quantitative investment | arXiv | 2024 | Link |
| Applied Federated Model Personalisation in the Industrial Domain: A Comparative Study | arXiv | 2024 | Link |
| Approximate Gradient Coding for Privacy-Flexible Federated Learning with Non-IID Data | arXiv | 2024 | Link |
| Approximate Wireless Communication for Lossy Gradient Updates in IoT Federated Learning | arXiv | 2024 | Link |
| Architectural Blueprint For Heterogeneity-Resilient Federated Learning | arXiv | 2024 | Link |
| Architectural Design Decisions for Self-Serve Data Platforms in Data Meshes | arXiv | 2024 | Link |
| Are We Up to the Challenge? An analysis of the FCC Broadband Data Collection Fixed Internet Availability Challenges | arXiv | 2024 | Link |
| Artificial Intelligence in Pediatric Echocardiography: Exploring Challenges, Opportunities, and Clinical Applications with Explainable AI and Federated Learning | arXiv | 2024 | Link |
| Assessing the Impact of AR-Assisted Warnings on Roadway Workers' Stress Under Different Workload Conditions | arXiv | 2024 | Link |
| Assessing the Reliability Benefits of Energy Storage as a Transmission Asset | arXiv | 2024 | Link |
| Assessing the State of AI Policy | arXiv | 2024 | Link |
| Asymmetrical Reciprocity-based Federated Learning for Resolving Disparities in Medical Diagnosis | arXiv | 2024 | Link |
| Asyn2F: An Asynchronous Federated Learning Framework with Bidirectional Model Aggregation | arXiv | 2024 | Link |
| Asynchronous Diffusion Learning with Agent Subsampling and Local Updates | arXiv | 2024 | Link |
| Asynchronous Federated Clustering with Unknown Number of Clusters | arXiv | 2024 | Link |
| Asynchronous Federated Learning Using Outdated Local Updates Over TDMA Channel | arXiv | 2024 | Link |
| Asynchronous Federated Learning: A Scalable Approach for Decentralized Machine Learning | arXiv | 2024 | Link |
| Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis | arXiv | 2024 | Link |
| Asynchronous Local-SGD Training for Language Modeling | arXiv | 2024 | Link |
| Asynchronous Multi-Server Federated Learning for Geo-Distributed Clients | arXiv | 2024 | Link |
| Attention on Personalized Clinical Decision Support System: Federated Learning Approach | arXiv | 2024 | Link |
| Auditable Homomorphic-based Decentralized Collaborative AI with Attribute-based Differential Privacy | arXiv | 2024 | Link |
| Augmenting the FedProx Algorithm by Minimizing Convergence | arXiv | 2024 | Link |
| Austria's KlimaTicket: Assessing the short-term impact of a cheap nationwide travel pass on demand | arXiv | 2024 | Link |
| AutoRank: MCDA Based Rank Personalization for LoRA-Enabled Distributed Learning | arXiv | 2024 | Link |
| Automated Extraction and Maturity Analysis of Open Source Clinical Informatics Repositories from Scientific Literature | arXiv | 2024 | Link |
| Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of Large Language Models | arXiv | 2024 | Link |
| Automated National Urban Map Extraction | arXiv | 2024 | Link |
| Automated, Reliable, and Efficient Continental-Scale Replication of 7.3 Petabytes of Climate Simulation Data: A Case Study | arXiv | 2024 | Link |
| Automatic Counting and Classification of Mosquito Eggs in Field Traps | arXiv | 2024 | Link |
| Automatic Speech Recognition using Advanced Deep Learning Approaches: A survey | arXiv | 2024 | Link |
| Automatic Structured Pruning for Efficient Architecture in Federated Learning | arXiv | 2024 | Link |
| Autonomous Money Supply Strategy Utilizing Control Theory | arXiv | 2024 | Link |
| BACSA: A Bias-Aware Client Selection Algorithm for Privacy-Preserving Federated Learning in Wireless Healthcare Networks | arXiv | 2024 | Link |
| BEFL: Balancing Energy Consumption in Federated Learning for Mobile Edge IoT | arXiv | 2024 | Link |
| BF-Meta: Secure Blockchain-enhanced Privacy-preserving Federated Learning for Metaverse | arXiv | 2024 | Link |
| BFLN: A Blockchain-based Federated Learning Model for Non-IID Data | arXiv | 2024 | Link |
| BN-SCAFFOLD: controlling the drift of Batch Normalization statistics in Federated Learning | arXiv | 2024 | Link |
| Backdoor Attack on Vertical Federated Graph Neural Network Learning | arXiv | 2024 | Link |
| BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federated Learning | arXiv | 2024 | Link |
| Balancing Label Imbalance in Federated Environments Using Only Mixup and Artificially-Labeled Noise | arXiv | 2024 | Link |
| Balancing Security and Accuracy: A Novel Federated Learning Approach for Cyberattack Detection in Blockchain Networks | arXiv | 2024 | Link |
| Balancing Similarity and Complementarity for Federated Learning | arXiv | 2024 | Link |
| Banded Square Root Matrix Factorization for Differentially Private Model Training | arXiv | 2024 | Link |
| Bandwidth-Aware and Overlap-Weighted Compression for Communication-Efficient Federated Learning | arXiv | 2024 | Link |
| Bangladesh Agricultural Knowledge Graph: Enabling Semantic Integration and Data-driven Analysis--Full Version | arXiv | 2024 | Link |
| Bayes' capacity as a measure for reconstruction attacks in federated learning | arXiv | 2024 | Link |
| Bayesian Deep Learning Via Expectation Maximization and Turbo Deep Approximate Message Passing | arXiv | 2024 | Link |
| Bayesian Federated Inference for Survival Models | arXiv | 2024 | Link |
| Bayesian Federated Inference for regression models based on non-shared multicenter data sets from heterogeneous populations | arXiv | 2024 | Link |
| Bayesian Federated Learning with Hamiltonian Monte Carlo: Algorithm and Theory | arXiv | 2024 | Link |
| Bayesian Federated Model Compression for Communication and Computation Efficiency | arXiv | 2024 | Link |
| Bayesian Neural Network For Personalized Federated Learning Parameter Selection | arXiv | 2024 | Link |
| Belt and Braces: When Federated Learning Meets Differential Privacy | arXiv | 2024 | Link |
| Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning | arXiv | 2024 | Link |
| Benchmarking Federated Learning for Semantic Datasets: Federated Scene Graph Generation | arXiv | 2024 | Link |
| Benchmarking LLMs for Environmental Review and Permitting | arXiv | 2024 | Link |
| Benchmarking federated strategies in Peer-to-Peer Federated learning for biomedical data | arXiv | 2024 | Link |
| Better Knowledge Enhancement for Privacy-Preserving Cross-Project Defect Prediction | arXiv | 2024 | Link |
| Beyond Local Sharpness: Communication-Efficient Global Sharpness-aware Minimization for Federated Learning | arXiv | 2024 | Link |
| Beyond Rationality: Unveiling the Role of Animal Spirits and Inflation Extrapolation in Central Bank Communication of the US | arXiv | 2024 | Link |
| Beyond Right to be Forgotten: Managing Heterogeneity Side Effects Through Strategic Incentives | arXiv | 2024 | Link |
| Beyond Similarity: Personalized Federated Recommendation with Composite Aggregation | arXiv | 2024 | Link |
| Beyond Yao's Millionaires: Secure Multi-Party Computation of Non-Polynomial Functions | arXiv | 2024 | Link |
| Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients | arXiv | 2024 | Link |
| Biased Over-the-Air Federated Learning under Wireless Heterogeneity | arXiv | 2024 | Link |
| Blind Federated Learning without initial model | arXiv | 2024 | Link |
| BlockFUL: Enabling Unlearning in Blockchained Federated Learning | arXiv | 2024 | Link |
| Blockchain Integrated Federated Learning in Edge-Fog-Cloud Systems for IoT based Healthcare Applications A Survey | arXiv | 2024 | Link |
| Blockchain-Empowered Cyber-Secure Federated Learning for Trustworthy Edge Computing | arXiv | 2024 | Link |
| Blockchain-aided wireless federated learning: Resource allocation and client scheduling | arXiv | 2024 | Link |
| Blockchain-based Federated Recommendation with Incentive Mechanism | arXiv | 2024 | Link |
| Blockchain-empowered Federated Learning: Benefits, Challenges, and Solutions | arXiv | 2024 | Link |
| Blockchain-enabled Clustered and Scalable Federated Learning (BCS-FL) Framework in UAV Networks | arXiv | 2024 | Link |
| Blockchain-enabled Trustworthy Federated Unlearning | arXiv | 2024 | Link |
| BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning | arXiv | 2024 | Link |
| Boosting Fairness and Robustness in Over-the-Air Federated Learning | arXiv | 2024 | Link |
| Boosting Federated Domain Generalization: Understanding the Role of Advanced Pre-Trained Architectures | arXiv | 2024 | Link |
| Boosting the Performance of Decentralized Federated Learning via Catalyst Acceleration | arXiv | 2024 | Link |
| Brain Storm Optimization Based Swarm Learning for Diabetic Retinopathy Image Classification | arXiv | 2024 | Link |
| Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated Learning | arXiv | 2024 | Link |
| Breaking the Memory Wall for Heterogeneous Federated Learning via Model Splitting | arXiv | 2024 | Link |
| Breaking the Memory Wall for Heterogeneous Federated Learning via Progressive Training | arXiv | 2024 | Link |
| Bridging Data Barriers among Participants: Assessing the Potential of Geoenergy through Federated Learning | arXiv | 2024 | Link |
| Bridging Data Islands: Geographic Heterogeneity-Aware Federated Learning for Collaborative Remote Sensing Semantic Segmentation | arXiv | 2024 | Link |
| Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views | arXiv | 2024 | Link |
| Bridging Memory Gaps: Scaling Federated Learning for Heterogeneous Clients | arXiv | 2024 | Link |
| Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning | arXiv | 2024 | Link |
| Budgeted Online Model Selection and Fine-Tuning via Federated Learning | arXiv | 2024 | Link |
| Buffer-based Gradient Projection for Continual Federated Learning | arXiv | 2024 | Link |
| Buffered Asynchronous Secure Aggregation for Cross-Device Federated Learning | arXiv | 2024 | Link |
| Building a Mastodon Compatible Java Server for ActivityPub | arXiv | 2024 | Link |
| But Can You Use It? Design Recommendations for Differentially Private Interactive Systems | arXiv | 2024 | Link |
| Byzantine-Resilient Secure Aggregation for Federated Learning Without Privacy Compromises | arXiv | 2024 | Link |
| Byzantine-Robust Aggregation for Securing Decentralized Federated Learning | arXiv | 2024 | Link |
| Byzantine-Robust Decentralized Federated Learning | arXiv | 2024 | Link |
| Byzantine-Robust Federated Learning: An Overview With Focus on Developing Sybil-based Attacks to Backdoor Augmented Secure Aggregation Protocols | arXiv | 2024 | Link |
| Byzantine-Robust Federated Learning: Impact of Client Subsampling and Local Updates | arXiv | 2024 | Link |
| C-FedRAG: A Confidential Federated Retrieval-Augmented Generation System | arXiv | 2024 | Link |
| C2A: Client-Customized Adaptation for Parameter-Efficient Federated Learning | arXiv | 2024 | Link |
| CA-FedRC: Codebook Adaptation via Federated Reservoir Computing in 5G NR | arXiv | 2024 | Link |
| CAESAR: Enhancing Federated RL in Heterogeneous MDPs through Convergence-Aware Sampling with Screening | arXiv | 2024 | Link |
| CAFe: Cost and Age aware Federated Learning | arXiv | 2024 | Link |
| CAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal Federated Learning with Missing Modalities | arXiv | 2024 | Link |
| CB$^2$O: Consensus-Based Bi-Level Optimization | arXiv | 2024 | Link |
| CCFC++: Enhancing Federated Clustering through Feature Decorrelation | arXiv | 2024 | Link |
| CCFC: Bridging Federated Clustering and Contrastive Learning | arXiv | 2024 | Link |
| CCVA-FL: Cross-Client Variations Adaptive Federated Learning for Medical Imaging | arXiv | 2024 | Link |
| CDFL: Efficient Federated Human Activity Recognition using Contrastive Learning and Deep Clustering | arXiv | 2024 | Link |
| CEF: Connecting Elaborate Federal QKD Networks | arXiv | 2024 | Link |
| CELLM: An Efficient Communication in Large Language Models Training for Federated Learning | arXiv | 2024 | Link |
| CG-FedLLM: How to Compress Gradients in Federated Fune-tuning for Large Language Models | arXiv | 2024 | Link |
| CL3: A Collaborative Learning Framework for the Medical Data Ensuring Data Privacy in the Hyperconnected Environment | arXiv | 2024 | Link |
| CNN-FL for Biotechnology Industry Empowered by Internet-of-BioNano Things and Digital Twins | arXiv | 2024 | Link |
| COALA: A Practical and Vision-Centric Federated Learning Platform | arXiv | 2024 | Link |
| CRASAR-U-DROIDs: A Large Scale Benchmark Dataset for Building Alignment and Damage Assessment in Georectified sUAS Imagery | arXiv | 2024 | Link |
| CRSFL: Cluster-based Resource-aware Split Federated Learning for Continuous Authentication | arXiv | 2024 | Link |
| CSI-GPT: Integrating Generative Pre-Trained Transformer with Federated-Tuning to Acquire Downlink Massive MIMO Channels | arXiv | 2024 | Link |
| CaBaFL: Asynchronous Federated Learning via Hierarchical Cache and Feature Balance | arXiv | 2024 | Link |
| Caesar: A Low-deviation Compression Approach for Efficient Federated Learning | arXiv | 2024 | Link |
| Calibre: Towards Fair and Accurate Personalized Federated Learning with Self-Supervised Learning | arXiv | 2024 | Link |
| Camel: Communication-Efficient and Maliciously Secure Federated Learning in the Shuffle Model of Differential Privacy | arXiv | 2024 | Link |
| Can Base ChatGPT be Used for Forecasting without Additional Optimization? | arXiv | 2024 | Link |
| Can We Theoretically Quantify the Impacts of Local Updates on the Generalization Performance of Federated Learning? | arXiv | 2024 | Link |
| Capacity of Hierarchical Secure Coded Gradient Aggregation with Straggling Communication Links | arXiv | 2024 | Link |
| Catch Me If You Can: Combatting Fraud in Artificial Currency Based Government Benefits Programs | arXiv | 2024 | Link |
| Causal Multi-Label Feature Selection in Federated Setting | arXiv | 2024 | Link |
| Celtibero: Robust Layered Aggregation for Federated Learning | arXiv | 2024 | Link |
| Centralized and Federated Heart Disease Classification Models Using UCI Dataset and their Shapley-value Based Interpretability | arXiv | 2024 | Link |
| Certifiably Byzantine-Robust Federated Conformal Prediction | arXiv | 2024 | Link |
| Certifiably Robust Model Evaluation in Federated Learning under Meta-Distributional Shifts | arXiv | 2024 | Link |
| Chu-ko-nu: A Reliable, Efficient, and Anonymously Authentication-Enabled Realization for Multi-Round Secure Aggregation in Federated Learning | arXiv | 2024 | Link |
| Class-Wise Federated Averaging for Efficient Personalization | arXiv | 2024 | Link |
| Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Drift | arXiv | 2024 | Link |
| Client Contribution Normalization for Enhanced Federated Learning | arXiv | 2024 | Link |
| Client-Side Patching against Backdoor Attacks in Federated Learning | arXiv | 2024 | Link |
| Client-supervised Federated Learning: Towards One-model-for-all Personalization | arXiv | 2024 | Link |
| Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing | arXiv | 2024 | Link |
| Climate-Driven Doubling of U.S. Maize Loss Probability: Interactive Simulation with Neural Network Monte Carlo | arXiv | 2024 | Link |
| Clinnova Federated Learning Proof of Concept: Key Takeaways from a Cross-border Collaboration | arXiv | 2024 | Link |
| Closed-form merging of parameter-efficient modules for Federated Continual Learning | arXiv | 2024 | Link |
| Cloud-Based Federation Framework and Prototype for Open, Scalable, and Shared Access to NextG and IoT Testbeds | arXiv | 2024 | Link |
| Cloud-based Federated Learning Framework for MRI Segmentation | arXiv | 2024 | Link |
| CoAst: Validation-Free Contribution Assessment for Federated Learning based on Cross-Round Valuation | arXiv | 2024 | Link |
| CoDream: Exchanging dreams instead of models for federated aggregation with heterogeneous models | arXiv | 2024 | Link |
| CoRAST: Towards Foundation Model-Powered Correlated Data Analysis in Resource-Constrained CPS and IoT | arXiv | 2024 | Link |
| Code Review Automation Via Multi-task Federated LLM -- An Empirical Study | arXiv | 2024 | Link |
| Cognitive Semantic Augmentation LEO Satellite Networks for Earth Observation | arXiv | 2024 | Link |
| Cohort Squeeze: Beyond a Single Communication Round per Cohort in Cross-Device Federated Learning | arXiv | 2024 | Link |
| CollaFuse: Collaborative Diffusion Models | arXiv | 2024 | Link |
| CollaFuse: Navigating Limited Resources and Privacy in Collaborative Generative AI | arXiv | 2024 | Link |
| Collaborative Heterogeneous Causal Inference Beyond Meta-analysis | arXiv | 2024 | Link |
| Collaborative Optimization of Wireless Communication and Computing Resource Allocation based on Multi-Agent Federated Weighting Deep Reinforcement Learning | arXiv | 2024 | Link |
| Collaborative Visual Place Recognition through Federated Learning | arXiv | 2024 | Link |
| Collaborative and Efficient Personalization with Mixtures of Adaptors | arXiv | 2024 | Link |
| Collaborative and Federated Black-box Optimization: A Bayesian Optimization Perspective | arXiv | 2024 | Link |
| Collaboratively Learning Federated Models from Noisy Decentralized Data | arXiv | 2024 | Link |
| CollectionLocator Level 1: Metadata-Based Search for Collections in Federated Biobanks | arXiv | 2024 | Link |
| Combining Federated Learning and Control: A Survey | arXiv | 2024 | Link |
| Comments on "Federated Learning with Differential Privacy: Algorithms and Performance Analysis" | arXiv | 2024 | Link |
| Comments on "Privacy-Enhanced Federated Learning Against Poisoning Adversaries" | arXiv | 2024 | Link |
| Communication Compression for Distributed Learning without Control Variates | arXiv | 2024 | Link |
| Communication Efficient ConFederated Learning: An Event-Triggered SAGA Approach | arXiv | 2024 | Link |
| Communication Efficient and Provable Federated Unlearning | arXiv | 2024 | Link |
| Communication and Energy Efficient Federated Learning using Zero-Order Optimization Technique | arXiv | 2024 | Link |
| Communication-Efficient Byzantine-Resilient Federated Zero-Order Optimization | arXiv | 2024 | Link |
| Communication-Efficient Distributed Deep Learning via Federated Dynamic Averaging | arXiv | 2024 | Link |
| Communication-Efficient Federated Group Distributionally Robust Optimization | arXiv | 2024 | Link |
| Communication-Efficient Federated Knowledge Graph Embedding with Entity-Wise Top-K Sparsification | arXiv | 2024 | Link |
| Communication-Efficient Federated Learning for LEO Satellite Networks Integrated with HAPs Using Hybrid NOMA-OFDM | arXiv | 2024 | Link |
| Communication-Efficient Federated Learning over Wireless Channels via Gradient Sketching | arXiv | 2024 | Link |
| Communication-Efficient Federated Learning through Adaptive Weight Clustering and Server-Side Distillation | arXiv | 2024 | Link |
| Communication-Efficient Federated Learning under Dynamic Device Arrival and Departure: Convergence Analysis and Algorithm Design | arXiv | 2024 | Link |
| Communication-Efficient Federated Learning via Clipped Uniform Quantization | arXiv | 2024 | Link |
| Communication-Efficient Federated Learning with Adaptive Compression under Dynamic Bandwidth | arXiv | 2024 | Link |
| Communication-Efficient Federated Low-Rank Update Algorithm and its Connection to Implicit Regularization | arXiv | 2024 | Link |
| Communication-Efficient Hybrid Federated Learning for E-health with Horizontal and Vertical Data Partitioning | arXiv | 2024 | Link |
| Communication-Efficient Model Aggregation with Layer Divergence Feedback in Federated Learning | arXiv | 2024 | Link |
| Communication-Efficient Multimodal Federated Learning: Joint Modality and Client Selection | arXiv | 2024 | Link |
| Communication-Efficient Personalized Federal Graph Learning via Low-Rank Decomposition | arXiv | 2024 | Link |
| Communication-Efficient Personalized Federated Learning for Speech-to-Text Tasks | arXiv | 2024 | Link |
| Communication-Efficient Training Workload Balancing for Decentralized Multi-Agent Learning | arXiv | 2024 | Link |
| Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Models | arXiv | 2024 | Link |
| Communication-efficient Vertical Federated Learning via Compressed Error Feedback | arXiv | 2024 | Link |
| Comparative Evaluation of Clustered Federated Learning Methods | arXiv | 2024 | Link |
| Comparative Global AI Regulation: Policy Perspectives from the EU, China, and the US | arXiv | 2024 | Link |
| Comparing Federated Stochastic Gradient Descent and Federated Averaging for Predicting Hospital Length of Stay | arXiv | 2024 | Link |
| Complex-Valued Neural Network based Federated Learning for Multi-user Indoor Positioning Performance Optimization | arXiv | 2024 | Link |
| Compressed Bayesian Federated Learning for Reliable Passive Radio Sensing in Industrial IoT | arXiv | 2024 | Link |
| Compressed Federated Reinforcement Learning with a Generative Model | arXiv | 2024 | Link |
| Computation and Communication Efficient Lightweighting Vertical Federated Learning for Smart Building IoT | arXiv | 2024 | Link |
| Compute-Update Federated Learning: A Lattice Coding Approach Over-the-Air | arXiv | 2024 | Link |
| Concurrent vertical and horizontal federated learning with fuzzy cognitive maps | arXiv | 2024 | Link |
| Confidential Federated Computations | arXiv | 2024 | Link |
| Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor Information | arXiv | 2024 | Link |
| Conformalized Prediction of Post-Fault Voltage Trajectories Using Pre-trained and Finetuned Attention-Driven Neural Operators | arXiv | 2024 | Link |
| Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit | arXiv | 2024 | Link |
| Context-Aware Agent-based Model for Smart Long Distance Transport System | arXiv | 2024 | Link |
| Continual Deep Reinforcement Learning for Decentralized Satellite Routing | arXiv | 2024 | Link |
| Continual Learning for Smart City: A Survey | arXiv | 2024 | Link |
| Contrastive Federated Learning with Tabular Data Silos | arXiv | 2024 | Link |
| Contribution Evaluation of Heterogeneous Participants in Federated Learning via Prototypical Representations | arXiv | 2024 | Link |
| Controlling Participation in Federated Learning with Feedback | arXiv | 2024 | Link |
| Convergence Analysis of Split Federated Learning on Heterogeneous Data | arXiv | 2024 | Link |
| Convergence Rate Maximization for Split Learning-based Control of EMG Prosthetic Devices | arXiv | 2024 | Link |
| Convergence-aware Clustered Federated Graph Learning Framework for Collaborative Inter-company Labor Market Forecasting | arXiv | 2024 | Link |
| Cooperation and Federation in Distributed Radar Point Cloud Processing | arXiv | 2024 | Link |
| Cooperation and Personalization on a Seesaw: Choice-based FL for Safe Cooperation in Wireless Networks | arXiv | 2024 | Link |
| Cooperative Edge Caching Based on Elastic Federated and Multi-Agent Deep Reinforcement Learning in Next-Generation Network | arXiv | 2024 | Link |
| CopRA: A Progressive LoRA Training Strategy | arXiv | 2024 | Link |
| CorBin-FL: A Differentially Private Federated Learning Mechanism using Common Randomness | arXiv | 2024 | Link |
| Correlated Privacy Mechanisms for Differentially Private Distributed Mean Estimation | arXiv | 2024 | Link |
| Counter Denial of Service for Next-Generation Networks within the Artificial Intelligence and Post-Quantum Era | arXiv | 2024 | Link |
| Covariances for Free: Exploiting Mean Distributions for Training-free Federated Learning | arXiv | 2024 | Link |
| Cross-Modal Prototype based Multimodal Federated Learning under Severely Missing Modality | arXiv | 2024 | Link |
| Cross-silo Federated Learning with Record-level Personalized Differential Privacy | arXiv | 2024 | Link |
| Crowdfunding for Equitable EV Charging Infrastructure | arXiv | 2024 | Link |
| CurvFed: Curvature-Aligned Federated Learning for Fairness without Demographics | arXiv | 2024 | Link |
| Cyber Attacks Prevention Towards Prosumer-based EV Charging Stations: An Edge-assisted Federated Prototype Knowledge Distillation Approach | arXiv | 2024 | Link |
| Cyber Threats to Canadian Federal Election: Emerging Threats, Assessment, and Mitigation Strategies | arXiv | 2024 | Link |
| Cyber-physical and business perspectives using Federated Digital Twins in multinational and multimodal transportation systems | arXiv | 2024 | Link |
| Cyclical Weight Consolidation: Towards Solving Catastrophic Forgetting in Serial Federated Learning | arXiv | 2024 | Link |
| DA-PFL: Dynamic Affinity Aggregation for Personalized Federated Learning | arXiv | 2024 | Link |
| DAMe: Personalized Federated Social Event Detection with Dual Aggregation Mechanism | arXiv | 2024 | Link |
| DART: A Solution for Decentralized Federated Learning Model Robustness Analysis | arXiv | 2024 | Link |
| DAVED: Data Acquisition via Experimental Design for Data Markets | arXiv | 2024 | Link |
| DEPT: Decoupled Embeddings for Pre-training Language Models | arXiv | 2024 | Link |
| DEeR: Deviation Eliminating and Noise Regulating for Privacy-preserving Federated Low-rank Adaptation | arXiv | 2024 | Link |
| DFDG: Data-Free Dual-Generator Adversarial Distillation for One-Shot Federated Learning | arXiv | 2024 | Link |
| DFML: Decentralized Federated Mutual Learning | arXiv | 2024 | Link |
| DFedSat: Communication-Efficient and Robust Decentralized Federated Learning for LEO Satellite Constellations | arXiv | 2024 | Link |
| DISTINQT: A Distributed Privacy Aware Learning Framework for QoS Prediction for Future Mobile and Wireless Networks | arXiv | 2024 | Link |
| DMM: Distributed Matrix Mechanism for Differentially-Private Federated Learning Based on Constant-Overhead Linear Secret Resharing | arXiv | 2024 | Link |
| DP$^2$-FedSAM: Enhancing Differentially Private Federated Learning Through Personalized Sharpness-Aware Minimization | arXiv | 2024 | Link |
| DP-DyLoRA: Fine-Tuning Transformer-Based Models On-Device under Differentially Private Federated Learning using Dynamic Low-Rank Adaptation | arXiv | 2024 | Link |
| DPBalance: Efficient and Fair Privacy Budget Scheduling for Federated Learning as a Service | arXiv | 2024 | Link |
| DPFedBank: Crafting a Privacy-Preserving Federated Learning Framework for Financial Institutions with Policy Pillars | arXiv | 2024 | Link |
| DPVS-Shapley:Faster and Universal Contribution Evaluation Component in Federated Learning | arXiv | 2024 | Link |
| DRACO: Decentralized Asynchronous Federated Learning over Row-Stochastic Wireless Networks | arXiv | 2024 | Link |
| DRL-Based Federated Self-Supervised Learning for Task Offloading and Resource Allocation in ISAC-Enabled Vehicle Edge Computing | arXiv | 2024 | Link |
| DV-FSR: A Dual-View Target Attack Framework for Federated Sequential Recommendation | arXiv | 2024 | Link |
| DWFL: Enhancing Federated Learning through Dynamic Weighted Averaging | arXiv | 2024 | Link |
| DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices | arXiv | 2024 | Link |
| DarkFed: A Data-Free Backdoor Attack in Federated Learning | arXiv | 2024 | Link |
| Data Distribution Shifts in (Industrial) Federated Learning as a Privacy Issue | arXiv | 2024 | Link |
| Data Measurements for Decentralized Data Markets | arXiv | 2024 | Link |
| Data Obfuscation through Latent Space Projection (LSP) for Privacy-Preserving AI Governance: Case Studies in Medical Diagnosis and Finance Fraud Detection | arXiv | 2024 | Link |
| Data Poisoning Attacks in Gossip Learning | arXiv | 2024 | Link |
| Data Poisoning and Leakage Analysis in Federated Learning | arXiv | 2024 | Link |
| Data Quality Control in Federated Instruction-tuning of Large Language Models | arXiv | 2024 | Link |
| Data Similarity-Based One-Shot Clustering for Multi-Task Hierarchical Federated Learning | arXiv | 2024 | Link |
| Data and Physics driven Deep Learning Models for Fast MRI Reconstruction: Fundamentals and Methodologies | arXiv | 2024 | Link |
| Data value estimation on private gradients | arXiv | 2024 | Link |
| Data-Free Federated Class Incremental Learning with Diffusion-Based Generative Memory | arXiv | 2024 | Link |
| Dataset Dictionary Learning in a Wasserstein Space for Federated Domain Adaptation | arXiv | 2024 | Link |
| Dataset Distillation-based Hybrid Federated Learning on Non-IID Data | arXiv | 2024 | Link |
| De-VertiFL: A Solution for Decentralized Vertical Federated Learning | arXiv | 2024 | Link |
| Debiasing Federated Learning with Correlated Client Participation | arXiv | 2024 | Link |
| Decentralised Moderation for Interoperable Social Networks: A Conversation-based Approach for Pleroma and the Fediverse | arXiv | 2024 | Link |
| Decentralised Traffic Incident Detection via Network Lasso | arXiv | 2024 | Link |
| Decentralized Blockchain-based Robust Multi-agent Multi-armed Bandit | arXiv | 2024 | Link |
| Decentralized Directed Collaboration for Personalized Federated Learning | arXiv | 2024 | Link |
| Decentralized Federated Learning Over Imperfect Communication Channels | arXiv | 2024 | Link |
| Decentralized Federated Learning with Asynchronous Parameter Sharing for Large-scale IoT Networks | arXiv | 2024 | Link |
| Decentralized Federated Learning with Gradient Tracking over Time-Varying Directed Networks | arXiv | 2024 | Link |
| Decentralized Federated Learning with Model Caching on Mobile Agents | arXiv | 2024 | Link |
| Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast Convergence | arXiv | 2024 | Link |
| Decentralized Gossip Mutual Learning (GML) for automatic head and neck tumor segmentation | arXiv | 2024 | Link |
| Decentralized Gossip Mutual Learning (GML) for brain tumor segmentation on multi-parametric MRI | arXiv | 2024 | Link |
| Decentralized Health Intelligence Network (DHIN) | arXiv | 2024 | Link |
| Decentralized Intelligence Network (DIN) | arXiv | 2024 | Link |
| Decentralized Personalized Federated Learning | arXiv | 2024 | Link |
| Decentralized Personalized Federated Learning based on a Conditional Sparse-to-Sparser Scheme | arXiv | 2024 | Link |
| Decentralized Sporadic Federated Learning: A Unified Algorithmic Framework with Convergence Guarantees | arXiv | 2024 | Link |
| Decomposable Submodular Maximization in Federated Setting | arXiv | 2024 | Link |
| Decoupled Subgraph Federated Learning | arXiv | 2024 | Link |
| Decoupled Vertical Federated Learning for Practical Training on Vertically Partitioned Data | arXiv | 2024 | Link |
| Decoupling General and Personalized Knowledge in Federated Learning via Additive and Low-Rank Decomposition | arXiv | 2024 | Link |
| Deep Domain Isolation and Sample Clustered Federated Learning for Semantic Segmentation | arXiv | 2024 | Link |
| Deep Efficient Private Neighbor Generation for Subgraph Federated Learning | arXiv | 2024 | Link |
| Deep Learning Aided Broadcast Codes with Feedback | arXiv | 2024 | Link |
| Deep Transfer Hashing for Adaptive Learning on Federated Streaming Data | arXiv | 2024 | Link |
| Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization | arXiv | 2024 | Link |
| Defense via Behavior Attestation against Attacks in Connected and Automated Vehicles based Federated Learning Systems | arXiv | 2024 | Link |
| Delay and Overhead Efficient Transmission Scheduling for Federated Learning in UAV Swarms | arXiv | 2024 | Link |
| Delayed Random Partial Gradient Averaging for Federated Learning | arXiv | 2024 | Link |
| Delta: A Cloud-assisted Data Enrichment Framework for On-Device Continual Learning | arXiv | 2024 | Link |
| Demand Modeling for Advanced Air Mobility | arXiv | 2024 | Link |
| Demo: FedCampus: A Real-world Privacy-preserving Mobile Application for Smart Campus via Federated Learning & Analytics | arXiv | 2024 | Link |
| Democratizing AI in Africa: FL for Low-Resource Edge Devices | arXiv | 2024 | Link |
| Detecting Calls to Action in Multimodal Content: Analysis of the 2021 German Federal Election Campaign on Instagram | arXiv | 2024 | Link |
| Detecting collusion in procurement auctions | arXiv | 2024 | Link |
| Detection of Global Anomalies on Distributed IoT Edges with Device-to-Device Communication | arXiv | 2024 | Link |
| Detection of Opioid Users from Reddit Posts via an Attention-based Bidirectional Recurrent Neural Network | arXiv | 2024 | Link |
| Detection of ransomware attacks using federated learning based on the CNN model | arXiv | 2024 | Link |
| Developing Federated Time-to-Event Scores Using Heterogeneous Real-World Survival Data | arXiv | 2024 | Link |
| Developments and applications of the OPTIMADE API for materials discovery, design, and data exchange | arXiv | 2024 | Link |
| Deviance Voronoi Residuals for Space-Time Point Process Models: An Application to Earthquake Insurance Risk | arXiv | 2024 | Link |
| Device Scheduling and Assignment in Hierarchical Federated Learning for Internet of Things | arXiv | 2024 | Link |
| Difference-in-Differences under Bipartite Network Interference: A Framework for Quasi-Experimental Assessment of the Effects of Environmental Policies on Health | arXiv | 2024 | Link |
| Differential Private Federated Transfer Learning for Mental Health Monitoring in Everyday Settings: A Case Study on Stress Detection | arXiv | 2024 | Link |
| Differentially Private Clustered Federated Learning | arXiv | 2024 | Link |
| Differentially Private Decentralized Learning with Random Walks | arXiv | 2024 | Link |
| Differentially Private Federated Learning: A Systematic Review | arXiv | 2024 | Link |
| Differentially Private Federated Learning: Servers Trustworthiness, Estimation, and Statistical Inference | arXiv | 2024 | Link |
| Differentially Private Online Federated Learning with Correlated Noise | arXiv | 2024 | Link |
| Differentially Private Stochastic Gradient Descent with Fixed-Size Minibatches: Tighter RDP Guarantees with or without Replacement | arXiv | 2024 | Link |
| Differentially-Private Multi-Tier Federated Learning | arXiv | 2024 | Link |
| Diffusion-Based Cloud-Edge-Device Collaborative Learning for Next POI Recommendations | arXiv | 2024 | Link |
| Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning | arXiv | 2024 | Link |
| Digital Evolution: Novo Nordisk's Shift to Ontology-Based Data Management | arXiv | 2024 | Link |
| Digital Twin-Assisted Federated Learning with Blockchain in Multi-tier Computing Systems | arXiv | 2024 | Link |
| Digital versus Analog Transmissions for Federated Learning over Wireless Networks | arXiv | 2024 | Link |
| Direct sum theorems beyond query complexity | arXiv | 2024 | Link |
| Disease Outbreak Detection and Forecasting: A Review of Methods and Data Sources | arXiv | 2024 | Link |
| Disentangling data distribution for Federated Learning | arXiv | 2024 | Link |
| Displacing Science | arXiv | 2024 | Link |
| Disposable-key-based image encryption for collaborative learning of Vision Transformer | arXiv | 2024 | Link |
| DistDD: Distributed Data Distillation Aggregation through Gradient Matching | arXiv | 2024 | Link |
| Distributed Backdoor Attacks on Federated Graph Learning and Certified Defenses | arXiv | 2024 | Link |
| Distributed Continual Learning | arXiv | 2024 | Link |
| Distributed Deep Reinforcement Learning Based Gradient Quantization for Federated Learning Enabled Vehicle Edge Computing | arXiv | 2024 | Link |
| Distributed Edge Analytics in Edge-Fog-Cloud Continuum | arXiv | 2024 | Link |
| Distributed Federated Learning-Based Deep Learning Model for Privacy MRI Brain Tumor Detection | arXiv | 2024 | Link |
| Distributed Gradient Descent with Many Local Steps in Overparameterized Models | arXiv | 2024 | Link |
| Distributed Learning for UAV Swarms | arXiv | 2024 | Link |
| Distributed Learning for Wi-Fi AP Load Prediction | arXiv | 2024 | Link |
| Distributed Online Optimization with Stochastic Agent Availability | arXiv | 2024 | Link |
| Distributed client selection with multi-objective in federated learning assisted Internet of Vehicles | arXiv | 2024 | Link |
| Distributed collaborative anomalous sound detection by embedding sharing | arXiv | 2024 | Link |
| Distributed, communication-efficient, and differentially private estimation of KL divergence | arXiv | 2024 | Link |
| Distribution-Free Fair Federated Learning with Small Samples | arXiv | 2024 | Link |
| Distributional Dataset Distillation with Subtask Decomposition | arXiv | 2024 | Link |
| Distributionally Robust Alignment for Medical Federated Vision-Language Pre-training Under Data Heterogeneity | arXiv | 2024 | Link |
| Distributionally Robust Clustered Federated Learning: A Case Study in Healthcare | arXiv | 2024 | Link |
| Do You Trust Your Model? Emerging Malware Threats in the Deep Learning Ecosystem | arXiv | 2024 | Link |
| Does Worst-Performing Agent Lead the Pack? Analyzing Agent Dynamics in Unified Distributed SGD | arXiv | 2024 | Link |
| Domain Generalization for Cross-Receiver Radio Frequency Fingerprint Identification | arXiv | 2024 | Link |
| Don't Kill the Baby: The Case for AI in Arbitration | arXiv | 2024 | Link |
| Double Whammy: Stealthy Data Manipulation aided Reconstruction Attack on Graph Federated Learning | arXiv | 2024 | Link |
| DrJAX: Scalable and Differentiable MapReduce Primitives in JAX | arXiv | 2024 | Link |
| Dual Model Replacement:invisible Multi-target Backdoor Attack based on Federal Learning | arXiv | 2024 | Link |
| Dual-Personalizing Adapter for Federated Foundation Models | arXiv | 2024 | Link |
| Dual-Segment Clustering Strategy for Hierarchical Federated Learning in Heterogeneous Wireless Environments | arXiv | 2024 | Link |
| DualGFL: Federated Learning with a Dual-Level Coalition-Auction Game | arXiv | 2024 | Link |
| Dynamic Client Clustering, Bandwidth Allocation, and Workload Optimization for Semi-synchronous Federated Learning | arXiv | 2024 | Link |
| Dynamic Consistent $k$-Center Clustering with Optimal Recourse | arXiv | 2024 | Link |
| Dynamic D2D-Assisted Federated Learning over O-RAN: Performance Analysis, MAC Scheduler, and Asymmetric User Selection | arXiv | 2024 | Link |
| Dynamic Scheduling for Vehicle-to-Vehicle Communications Enhanced Federated Learning | arXiv | 2024 | Link |
| Dynamic Spatial Interaction Models for a Resource Allocator's Decisions and Local Agents' Multiple Activities | arXiv | 2024 | Link |
| DynamicFL: Federated Learning with Dynamic Communication Resource Allocation | arXiv | 2024 | Link |
| EFTViT: Efficient Federated Training of Vision Transformers with Masked Images on Resource-Constrained Clients | arXiv | 2024 | Link |
| EPIC: Enhancing Privacy through Iterative Collaboration | arXiv | 2024 | Link |
| ESFL: Efficient Split Federated Learning over Resource-Constrained Heterogeneous Wireless Devices | arXiv | 2024 | Link |
| EchoPFL: Asynchronous Personalized Federated Learning on Mobile Devices with On-Demand Staleness Control | arXiv | 2024 | Link |
| Edge-AI for Agriculture: Lightweight Vision Models for Disease Detection in Resource-Limited Settings | arXiv | 2024 | Link |
| Effective Heterogeneous Federated Learning via Efficient Hypernetwork-based Weight Generation | arXiv | 2024 | Link |
| Effective Intrusion Detection in Heterogeneous Internet-of-Things Networks via Ensemble Knowledge Distillation-based Federated Learning | arXiv | 2024 | Link |
| Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities | arXiv | 2024 | Link |
| Effective and secure federated online learning to rank | arXiv | 2024 | Link |
| Efficient Adaptive Federated Optimization | arXiv | 2024 | Link |
| Efficient Byzantine-Robust and Provably Privacy-Preserving Federated Learning | arXiv | 2024 | Link |
| Efficient Collaborations through Weight-Driven Coalition Dynamics in Federated Learning Systems | arXiv | 2024 | Link |
| Efficient Data Distribution Estimation for Accelerated Federated Learning | arXiv | 2024 | Link |
| Efficient Data Labeling and Optimal Device Scheduling in HWNs Using Clustered Federated Semi-Supervised Learning | arXiv | 2024 | Link |
| Efficient Federated Finetuning of Tiny Transformers with Resource-Constrained Devices | arXiv | 2024 | Link |
| Efficient Federated Intrusion Detection in 5G ecosystem using optimized BERT-based model | arXiv | 2024 | Link |
| Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data | arXiv | 2024 | Link |
| Efficient Federated Learning against Byzantine Attacks and Data Heterogeneity via Aggregating Normalized Gradients | arXiv | 2024 | Link |
| Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability | arXiv | 2024 | Link |
| Efficient Federated Low Rank Matrix Completion | arXiv | 2024 | Link |
| Efficient Federated Unlearning under Plausible Deniability | arXiv | 2024 | Link |
| Efficient Federated Unlearning with Adaptive Differential Privacy Preservation | arXiv | 2024 | Link |
| Efficient Language Model Architectures for Differentially Private Federated Learning | arXiv | 2024 | Link |
| Efficient Model Compression for Hierarchical Federated Learning | arXiv | 2024 | Link |
| Efficient Unbiased Sparsification | arXiv | 2024 | Link |
| Efficient Wireless Federated Learning via Low-Rank Gradient Factorization | arXiv | 2024 | Link |
| Efficient and Privacy-Preserving Federated Learning based on Full Homomorphic Encryption | arXiv | 2024 | Link |
| Efficient collaborative learning of the average treatment effect under data sharing constraints | arXiv | 2024 | Link |
| Efficient estimation of longitudinal treatment effects using difference-in-differences and machine learning | arXiv | 2024 | Link |
| Efficiently Achieving Secure Model Training and Secure Aggregation to Ensure Bidirectional Privacy-Preservation in Federated Learning | arXiv | 2024 | Link |
| Efficiently Scheduling Parallel DAG Tasks on Identical Multiprocessors | arXiv | 2024 | Link |
| Election of Collaborators via Reinforcement Learning for Federated Brain Tumor Segmentation | arXiv | 2024 | Link |
| Electrical Load Forecasting in Smart Grid: A Personalized Federated Learning Approach | arXiv | 2024 | Link |
| EmInspector: Combating Backdoor Attacks in Federated Self-Supervised Learning Through Embedding Inspection | arXiv | 2024 | Link |
| Embarrassingly Parallel GFlowNets | arXiv | 2024 | Link |
| Embedding Byzantine Fault Tolerance into Federated Learning via Consistency Scoring | arXiv | 2024 | Link |
| Embracing Federated Learning: Enabling Weak Client Participation via Partial Model Training | arXiv | 2024 | Link |
| Embracing Radiance Field Rendering in 6G: Over-the-Air Training and Inference with 3D Contents | arXiv | 2024 | Link |
| Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models | arXiv | 2024 | Link |
| Empirical analysis of binding precedent efficiency in Brazilian Supreme Court via case classification | arXiv | 2024 | Link |
| Employing Federated Learning for Training Autonomous HVAC Systems | arXiv | 2024 | Link |
| Employing Layerwised Unsupervised Learning to Lessen Data and Loss Requirements in Forward-Forward Algorithms | arXiv | 2024 | Link |
| Empowering Data Mesh with Federated Learning | arXiv | 2024 | Link |
| Empowering Federated Learning for Massive Models with NVIDIA FLARE | arXiv | 2024 | Link |
| Empowering Federated Learning with Implicit Gossiping: Mitigating Connection Unreliability Amidst Unknown and Arbitrary Dynamics | arXiv | 2024 | Link |
| Empowering HWNs with Efficient Data Labeling: A Clustered Federated Semi-Supervised Learning Approach | arXiv | 2024 | Link |
| Empowering Healthcare through Privacy-Preserving MRI Analysis | arXiv | 2024 | Link |
| Empowering Over-the-Air Personalized Federated Learning via RIS | arXiv | 2024 | Link |
| Emulating Full Participation: An Effective and Fair Client Selection Strategy for Federated Learning | arXiv | 2024 | Link |
| EnFed: An Energy-aware Opportunistic Federated Learning in Resource Constrained Environments for Human Activity Recognition | arXiv | 2024 | Link |
| Enable the Right to be Forgotten with Federated Client Unlearning in Medical Imaging | arXiv | 2024 | Link |
| Enabling Architecture for Distributed Intelligent Network Softwarization for the Internet of Things | arXiv | 2024 | Link |
| Enabling Privacy-Preserving and Publicly Auditable Federated Learning | arXiv | 2024 | Link |
| Enabling Privacy-preserving Model Evaluation in Federated Learning via Fully Homomorphic Encryption | arXiv | 2024 | Link |
| Enabling Trustworthy Federated Learning in Industrial IoT: Bridging the Gap Between Interpretability and Robustness | arXiv | 2024 | Link |
| End to End Collaborative Synthetic Data Generation | arXiv | 2024 | Link |
| End-to-End Verifiable Decentralized Federated Learning | arXiv | 2024 | Link |
| Energy Reduction in Cell-Free Massive MIMO through Fine-Grained Resource Management | arXiv | 2024 | Link |
| Energy-Aware Federated Learning in Satellite Constellations | arXiv | 2024 | Link |
| Energy-Aware Heterogeneous Federated Learning via Approximate DNN Accelerators | arXiv | 2024 | Link |
| Energy-Efficient Channel Decoding for Wireless Federated Learning: Convergence Analysis and Adaptive Design | arXiv | 2024 | Link |
| Energy-Efficient Federated Edge Learning with Streaming Data: A Lyapunov Optimization Approach | arXiv | 2024 | Link |
| Energy-Efficient Federated Learning in Cooperative Communication within Factory Subnetworks | arXiv | 2024 | Link |
| Energy-Efficient Wireless Federated Learning via Doubly Adaptive Quantization | arXiv | 2024 | Link |
| Energy-efficient Federated Learning with Dynamic Model Size Allocation | arXiv | 2024 | Link |
| Enhanced Federated Anomaly Detection Through Autoencoders Using Summary Statistics-Based Thresholding | arXiv | 2024 | Link |
| Enhanced Over-the-Air Federated Learning Using AI-based Fluid Antenna System | arXiv | 2024 | Link |
| Enhanced channel estimation for near-field IRS-aided multi-user MIMO system via a large deep residual network | arXiv | 2024 | Link |
| Enhancing Convergence in Federated Learning: A Contribution-Aware Asynchronous Approach | arXiv | 2024 | Link |
| Enhancing Data Provenance and Model Transparency in Federated Learning Systems -- A Database Approach | arXiv | 2024 | Link |
| Enhancing Data Quality in Federated Fine-Tuning of Foundation Models | arXiv | 2024 | Link |
| Enhancing Equitable Access to AI in Housing and Homelessness System of Care through Federated Learning | arXiv | 2024 | Link |
| Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning | arXiv | 2024 | Link |
| Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics | arXiv | 2024 | Link |
| Enhancing Federated Learning Convergence with Dynamic Data Queue and Data Entropy-driven Participant Selection | arXiv | 2024 | Link |
| Enhancing IoT Security Against DDoS Attacks through Federated Learning | arXiv | 2024 | Link |
| Enhancing Mental Health Support through Human-AI Collaboration: Toward Secure and Empathetic AI-enabled chatbots | arXiv | 2024 | Link |
| Enhancing Mutual Trustworthiness in Federated Learning for Data-Rich Smart Cities | arXiv | 2024 | Link |
| Enhancing Object Detection with Hybrid dataset in Manufacturing Environments: Comparing Federated Learning to Conventional Techniques | arXiv | 2024 | Link |
| Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting | arXiv | 2024 | Link |
| Enhancing Performance for Highly Imbalanced Medical Data via Data Regularization in a Federated Learning Setting | arXiv | 2024 | Link |
| Enhancing Privacy in ControlNet and Stable Diffusion via Split Learning | arXiv | 2024 | Link |
| Enhancing Privacy in Federated Learning through Local Training | arXiv | 2024 | Link |
| Enhancing Privacy in Federated Learning: Secure Aggregation for Real-World Healthcare Applications | arXiv | 2024 | Link |
| Enhancing Quantum Security over Federated Learning via Post-Quantum Cryptography | arXiv | 2024 | Link |
| Enhancing Security and Privacy in Federated Learning using Low-Dimensional Update Representation and Proximity-Based Defense | arXiv | 2024 | Link |
| Enhancing Security in Federated Learning through Adaptive Consensus-Based Model Update Validation | arXiv | 2024 | Link |
| Enhancing Spectrum Efficiency in 6G Satellite Networks: A GAIL-Powered Policy Learning via Asynchronous Federated Inverse Reinforcement Learning | arXiv | 2024 | Link |
| Enhancing Trust and Privacy in Distributed Networks: A Comprehensive Survey on Blockchain-based Federated Learning | arXiv | 2024 | Link |
| Enhancing Vehicle Environmental Awareness via Federated Learning and Automatic Labeling | arXiv | 2024 | Link |
| Entity Augmentation for Efficient Classification of Vertically Partitioned Data with Limited Overlap | arXiv | 2024 | Link |
| Equitable Federated Learning with Activation Clustering | arXiv | 2024 | Link |
| Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning | arXiv | 2024 | Link |
| Evaluating Federated Kolmogorov-Arnold Networks on Non-IID Data | arXiv | 2024 | Link |
| Evaluating the Performance of LLMs on Technical Language Processing tasks | arXiv | 2024 | Link |
| Evaluating the Potential of Federated Learning for Maize Leaf Disease Prediction | arXiv | 2024 | Link |
| Evaluating the Relationship of EV Charging Station on the Uptake of Electric Vehicles -- Implication of the NEVI Formula Program | arXiv | 2024 | Link |
| Evaluation of Bio-Inspired Models under Different Learning Settings For Energy Efficiency in Network Traffic Prediction | arXiv | 2024 | Link |
| Evaluation of EAP Usage for Authenticating Eduroam Users in 5G Networks | arXiv | 2024 | Link |
| Evaluation of Peak Shaving Using Thermal Energy Storage in a Validated CHP and District Energy Model | arXiv | 2024 | Link |
| Evidential Federated Learning for Skin Lesion Image Classification | arXiv | 2024 | Link |
| Evolving Topics in Federated Learning: Trends, and Emerging Directions for IS | arXiv | 2024 | Link |
| Exact Controllability and Stabilization of the Wave Equation | arXiv | 2024 | Link |
| Examining Modality Incongruity in Multimodal Federated Learning for Medical Vision and Language-based Disease Detection | arXiv | 2024 | Link |
| Exemplar-condensed Federated Class-incremental Learning | arXiv | 2024 | Link |
| Expediting In-Network Federated Learning by Voting-Based Consensus Model Compression | arXiv | 2024 | Link |
| Experimental verifiable multi-client blind quantum computing on a Qline architecture | arXiv | 2024 | Link |
| Explainable Machine Learning-Based Security and Privacy Protection Framework for Internet of Medical Things Systems | arXiv | 2024 | Link |
| Explainable Semantic Federated Learning Enabled Industrial Edge Network for Fire Surveillance | arXiv | 2024 | Link |
| Exploiting Label Skewness for Spiking Neural Networks in Federated Learning | arXiv | 2024 | Link |
| Exploring Age-of-Information Weighting in Federated Learning under Data Heterogeneity | arXiv | 2024 | Link |
| Exploring Federated Deep Learning for Standardising Naming Conventions in Radiotherapy Data | arXiv | 2024 | Link |
| Exploring Federated Learning Dynamics for Black-and-White-Box DNN Traitor Tracing | arXiv | 2024 | Link |
| Exploring Federated Self-Supervised Learning for General Purpose Audio Understanding | arXiv | 2024 | Link |
| Exploring Gradient Subspaces: Addressing and Overcoming LoRA's Limitations in Federated Fine-Tuning of Large Language Models | arXiv | 2024 | Link |
| Exploring Lightweight Federated Learning for Distributed Load Forecasting | arXiv | 2024 | Link |
| Exploring Selective Layer Fine-Tuning in Federated Learning | arXiv | 2024 | Link |
| Exploring System-Heterogeneous Federated Learning with Dynamic Model Selection | arXiv | 2024 | Link |
| Exploring Vacant Classes in Label-Skewed Federated Learning | arXiv | 2024 | Link |
| Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks | arXiv | 2024 | Link |
| Exploring the Effects of Population and Employment Characteristics on Truck Flows: An Analysis of NextGen NHTS Origin-Destination Data | arXiv | 2024 | Link |
| Exploring the Efficacy of Federated-Continual Learning Nodes with Attention-Based Classifier for Robust Web Phishing Detection: An Empirical Investigation | arXiv | 2024 | Link |
| Exploring the Practicality of Federated Learning: A Survey Towards the Communication Perspective | arXiv | 2024 | Link |
| F$^3$OCUS -- Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics | arXiv | 2024 | Link |
| F-BIAS: Towards a distributed national core facility for Bioimage Analysis | arXiv | 2024 | Link |
| F-KANs: Federated Kolmogorov-Arnold Networks | arXiv | 2024 | Link |
| F-RBA: A Federated Learning-based Framework for Risk-based Authentication | arXiv | 2024 | Link |
| FACMIC: Federated Adaptative CLIP Model for Medical Image Classification | arXiv | 2024 | Link |
| FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding? | arXiv | 2024 | Link |
| FADAS: Towards Federated Adaptive Asynchronous Optimization | arXiv | 2024 | Link |
| FAGH: Accelerating Federated Learning with Approximated Global Hessian | arXiv | 2024 | Link |
| FCNCP: A Coupled Nonnegative CANDECOMP/PARAFAC Decomposition Based on Federated Learning | arXiv | 2024 | Link |
| FCOM: A Federated Collaborative Online Monitoring Framework via Representation Learning | arXiv | 2024 | Link |
| FDLoRA: Personalized Federated Learning of Large Language Model via Dual LoRA Tuning | arXiv | 2024 | Link |
| FDR-SVM: A Federated Distributionally Robust Support Vector Machine via a Mixture of Wasserstein Balls Ambiguity Set | arXiv | 2024 | Link |
| FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models | arXiv | 2024 | Link |
| FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection | arXiv | 2024 | Link |
| FEDQ-Trust: Efficient Data-Driven Trust Prediction for Mobile Edge-Based IoT Systems | arXiv | 2024 | Link |
| FEDSTR: Money-In AI-Out | A Decentralized Marketplace for Federated Learning and LLM Training on the NOSTR Protocol | arXiv | 2024 | Link |
| FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction | arXiv | 2024 | Link |
| FIVB ranking: Misstep in the right direction | arXiv | 2024 | Link |
| FL-DECO-BC: A Privacy-Preserving, Provably Secure, and Provenance-Preserving Federated Learning Framework with Decentralized Oracles on Blockchain for VANETs | arXiv | 2024 | Link |
| FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of Negative Federated Learning | arXiv | 2024 | Link |
| FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks | arXiv | 2024 | Link |
| FL-TAC: Enhanced Fine-Tuning in Federated Learning via Low-Rank, Task-Specific Adapter Clustering | arXiv | 2024 | Link |
| FLAIN: Mitigating Backdoor Attacks in Federated Learning via Flipping Weight Updates of Low-Activation Input Neurons | arXiv | 2024 | Link |
| FLAME: Adaptive and Reactive Concept Drift Mitigation for Federated Learning Deployments | arXiv | 2024 | Link |
| FLAMe: Federated Learning with Attention Mechanism using Spatio-Temporal Keypoint Transformers for Pedestrian Fall Detection in Smart Cities | arXiv | 2024 | Link |
| FLARE: A New Federated Learning Framework with Adjustable Learning Rates over Resource-Constrained Wireless Networks | arXiv | 2024 | Link |
| FLASH: Federated Learning Across Simultaneous Heterogeneities | arXiv | 2024 | Link |
| FLASH: Federated Learning-Based LLMs for Advanced Query Processing in Social Networks through RAG | arXiv | 2024 | Link |
| FLEX: FLEXible Federated Learning Framework | arXiv | 2024 | Link |
| FLGuard: Byzantine-Robust Federated Learning via Ensemble of Contrastive Models | arXiv | 2024 | Link |
| FLIGAN: Enhancing Federated Learning with Incomplete Data using GAN | arXiv | 2024 | Link |
| FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning | arXiv | 2024 | Link |
| FLUE: Federated Learning with Un-Encrypted model weights | arXiv | 2024 | Link |
| FLeNS: Federated Learning with Enhanced Nesterov-Newton Sketch | arXiv | 2024 | Link |
| FLoCoRA: Federated learning compression with low-rank adaptation | arXiv | 2024 | Link |
| FLoRA: Enhancing Vision-Language Models with Parameter-Efficient Federated Learning | arXiv | 2024 | Link |
| FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations | arXiv | 2024 | Link |
| FMLFS: A Federated Multi-Label Feature Selection Based on Information Theory in IoT Environment | arXiv | 2024 | Link |
| FMPAF: How Do Fed Chairs Affect the Financial Market? A Fine-grained Monetary Policy Analysis Framework on Their Language | arXiv | 2024 | Link |
| FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection | arXiv | 2024 | Link |
| FPPL: An Efficient and Non-IID Robust Federated Continual Learning Framework | arXiv | 2024 | Link |
| FRAG: Toward Federated Vector Database Management for Collaborative and Secure Retrieval-Augmented Generation | arXiv | 2024 | Link |
| FRESCO: Federated Reinforcement Energy System for Cooperative Optimization | arXiv | 2024 | Link |
| FRTP: Federating Route Search Records to Enhance Long-term Traffic Prediction | arXiv | 2024 | Link |
| FSSC: Federated Learning of Transformer Neural Networks for Semantic Image Communication | arXiv | 2024 | Link |
| FUNAvg: Federated Uncertainty Weighted Averaging for Datasets with Diverse Labels | arXiv | 2024 | Link |
| Fair Allocation of Bandwidth At Edge Servers For Concurrent Hierarchical Federated Learning | arXiv | 2024 | Link |
| Fair Concurrent Training of Multiple Models in Federated Learning | arXiv | 2024 | Link |
| Fair Federated Data Clustering through Personalization: Bridging the Gap between Diverse Data Distributions | arXiv | 2024 | Link |
| Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity | arXiv | 2024 | Link |
| Fair Resource Allocation For Hierarchical Federated Edge Learning in Space-Air-Ground Integrated Networks via Deep Reinforcement Learning with Hybrid Control | arXiv | 2024 | Link |
| FairFML: Fair Federated Machine Learning with a Case Study on Reducing Gender Disparities in Cardiac Arrest Outcome Prediction | arXiv | 2024 | Link |
| Fairness and Privacy Guarantees in Federated Contextual Bandits | arXiv | 2024 | Link |
| Fairness-Aware Job Scheduling for Multi-Job Federated Learning | arXiv | 2024 | Link |
| Fairness-Aware Multi-Server Federated Learning Task Delegation over Wireless Networks | arXiv | 2024 | Link |
| Fake or Compromised? Making Sense of Malicious Clients in Federated Learning | arXiv | 2024 | Link |
| False Data Injection Attack Detection in Edge-based Smart Metering Networks with Federated Learning | arXiv | 2024 | Link |
| Fantastyc: Blockchain-based Federated Learning Made Secure and Practical | arXiv | 2024 | Link |
| Fast Decentralized Gradient Tracking for Federated Minimax Optimization with Local Updates | arXiv | 2024 | Link |
| Fast MRI Reconstruction Using Deep Learning-based Compressed Sensing: A Systematic Review | arXiv | 2024 | Link |
| Fast and Adaptive Questionnaires for Voting Advice Applications | arXiv | 2024 | Link |
| Fast-Convergent and Communication-Alleviated Heterogeneous Hierarchical Federated Learning in Autonomous Driving | arXiv | 2024 | Link |
| Fast-FedUL: A Training-Free Federated Unlearning with Provable Skew Resilience | arXiv | 2024 | Link |
| FastLloyd: Federated, Accurate, Secure, and Tunable $k$-Means Clustering with Differential Privacy | arXiv | 2024 | Link |
| Faster Convergence on Heterogeneous Federated Edge Learning: An Adaptive Clustered Data Sharing Approach | arXiv | 2024 | Link |
| FeB4RAG: Evaluating Federated Search in the Context of Retrieval Augmented Generation | arXiv | 2024 | Link |
| FeDETR: a Federated Approach for Stenosis Detection in Coronary Angiography | arXiv | 2024 | Link |
| FeDeRA:Efficient Fine-tuning of Language Models in Federated Learning Leveraging Weight Decomposition | arXiv | 2024 | Link |
| FeMLoc: Federated Meta-learning for Adaptive Wireless Indoor Localization Tasks in IoT Networks | arXiv | 2024 | Link |
| Feasibility Analysis of Federated Neural Networks for Explainable Detection of Atrial Fibrillation | arXiv | 2024 | Link |
| Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities | arXiv | 2024 | Link |
| Feature Aggregation with Latent Generative Replay for Federated Continual Learning of Socially Appropriate Robot Behaviours | arXiv | 2024 | Link |
| Feature Diversification and Adaptation for Federated Domain Generalization | arXiv | 2024 | Link |
| Feature importance of socio-economic parameters in Tuberculosis modeling | arXiv | 2024 | Link |
| Fed-AugMix: Balancing Privacy and Utility via Data Augmentation | arXiv | 2024 | Link |
| Fed-CVLC: Compressing Federated Learning Communications with Variable-Length Codes | arXiv | 2024 | Link |
| Fed-Credit: Robust Federated Learning with Credibility Management | arXiv | 2024 | Link |
| Fed-EC: Bandwidth-Efficient Clustering-Based Federated Learning For Autonomous Visual Robot Navigation | arXiv | 2024 | Link |
| Fed-LDR: Federated Local Data-infused Graph Creation with Node-centric Model Refinement | arXiv | 2024 | Link |
| Fed-MUnet: Multi-modal Federated Unet for Brain Tumor Segmentation | arXiv | 2024 | Link |
| Fed-RD: Privacy-Preserving Federated Learning for Financial Crime Detection | arXiv | 2024 | Link |
| Fed-Sophia: A Communication-Efficient Second-Order Federated Learning Algorithm | arXiv | 2024 | Link |
| Fed-ZOE: Communication-Efficient Over-the-Air Federated Learning via Zeroth-Order Estimation | arXiv | 2024 | Link |
| Fed-pilot: Optimizing LoRA Allocation for Efficient Federated Fine-Tuning with Heterogeneous Clients | arXiv | 2024 | Link |
| Fed3DGS: Scalable 3D Gaussian Splatting with Federated Learning | arXiv | 2024 | Link |
| FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning | arXiv | 2024 | Link |
| FedAC: An Adaptive Clustered Federated Learning Framework for Heterogeneous Data | arXiv | 2024 | Link |
| FedAD-Bench: A Unified Benchmark for Federated Unsupervised Anomaly Detection in Tabular Data | arXiv | 2024 | Link |
| FedADMM-InSa: An Inexact and Self-Adaptive ADMM for Federated Learning | arXiv | 2024 | Link |
| FedAH: Aggregated Head for Personalized Federated Learning | arXiv | 2024 | Link |
| FedAQ: Communication-Efficient Federated Edge Learning via Joint Uplink and Downlink Adaptive Quantization | arXiv | 2024 | Link |
| FedAR: Addressing Client Unavailability in Federated Learning with Local Update Approximation and Rectification | arXiv | 2024 | Link |
| FedAST: Federated Asynchronous Simultaneous Training | arXiv | 2024 | Link |
| FedASTA: Federated adaptive spatial-temporal attention for traffic flow prediction | arXiv | 2024 | Link |
| FedAT: Federated Adversarial Training for Distributed Insider Threat Detection | arXiv | 2024 | Link |
| FedAli: Personalized Federated Learning Alignment with Prototype Layers for Generalized Mobile Services | arXiv | 2024 | Link |
| FedAnchor: Enhancing Federated Semi-Supervised Learning with Label Contrastive Loss for Unlabeled Clients | arXiv | 2024 | Link |
| FedAuxHMTL: Federated Auxiliary Hard-Parameter Sharing Multi-Task Learning for Network Edge Traffic Classification | arXiv | 2024 | Link |
| FedBAT: Communication-Efficient Federated Learning via Learnable Binarization | arXiv | 2024 | Link |
| FedBChain: A Blockchain-enabled Federated Learning Framework for Improving DeepConvLSTM with Comparative Strategy Insights | arXiv | 2024 | Link |
| FedBRB: An Effective Solution to the Small-to-Large Scenario in Device-Heterogeneity Federated Learning | arXiv | 2024 | Link |
| FedBaF: Federated Learning Aggregation Biased by a Foundation Model | arXiv | 2024 | Link |
| FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model | arXiv | 2024 | Link |
| FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models | arXiv | 2024 | Link |
| FedBlock: A Blockchain Approach to Federated Learning against Backdoor Attacks | arXiv | 2024 | Link |
| FedBrain-Distill: Communication-Efficient Federated Brain Tumor Classification Using Ensemble Knowledge Distillation on Non-IID Data | arXiv | 2024 | Link |
| FedCAP: Robust Federated Learning via Customized Aggregation and Personalization | arXiv | 2024 | Link |
| FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated Learning | arXiv | 2024 | Link |
| FedCAda: Adaptive Client-Side Optimization for Accelerated and Stable Federated Learning | arXiv | 2024 | Link |
| FedCCL: Federated Dual-Clustered Feature Contrast Under Domain Heterogeneity | arXiv | 2024 | Link |
| FedCCRL: Federated Domain Generalization with Cross-Client Representation Learning | arXiv | 2024 | Link |
| FedCFA: Alleviating Simpson's Paradox in Model Aggregation with Counterfactual Federated Learning | arXiv | 2024 | Link |
| FedCL-Ensemble Learning: A Framework of Federated Continual Learning with Ensemble Transfer Learning Enhanced for Alzheimer's MRI Classifications while Preserving Privacy | arXiv | 2024 | Link |
| FedCVD: The First Real-World Federated Learning Benchmark on Cardiovascular Disease Data | arXiv | 2024 | Link |
| FedCache 2.0: Federated Edge Learning with Knowledge Caching and Dataset Distillation | arXiv | 2024 | Link |
| FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler | arXiv | 2024 | Link |
| FedCert: Federated Accuracy Certification | arXiv | 2024 | Link |
| FedClust: Optimizing Federated Learning on Non-IID Data through Weight-Driven Client Clustering | arXiv | 2024 | Link |
| FedClust: Tackling Data Heterogeneity in Federated Learning through Weight-Driven Client Clustering | arXiv | 2024 | Link |
| FedCoSR: Personalized Federated Learning with Contrastive Shareable Representations for Label Heterogeneity in Non-IID Data | arXiv | 2024 | Link |
| FedCoT: Federated Chain-of-Thought Distillation for Large Language Models | arXiv | 2024 | Link |
| FedCod: An Efficient Communication Protocol for Cross-Silo Federated Learning with Coding | arXiv | 2024 | Link |
| FedComLoc: Communication-Efficient Distributed Training of Sparse and Quantized Models | arXiv | 2024 | Link |
| FedCore: Straggler-Free Federated Learning with Distributed Coresets | arXiv | 2024 | Link |
| FedD2S: Personalized Data-Free Federated Knowledge Distillation | arXiv | 2024 | Link |
| FedDCL: a federated data collaboration learning as a hybrid-type privacy-preserving framework based on federated learning and data collaboration | arXiv | 2024 | Link |
| FedDEO: Description-Enhanced One-Shot Federated Learning with Diffusion Models | arXiv | 2024 | Link |
| FedDM: Enhancing Communication Efficiency and Handling Data Heterogeneity in Federated Diffusion Models | arXiv | 2024 | Link |
| FedDUAL: A Dual-Strategy with Adaptive Loss and Dynamic Aggregation for Mitigating Data Heterogeneity in Federated Learning | arXiv | 2024 | Link |
| FedDW: Distilling Weights through Consistency Optimization in Heterogeneous Federated Learning | arXiv | 2024 | Link |
| FedDistill: Global Model Distillation for Local Model De-Biasing in Non-IID Federated Learning | arXiv | 2024 | Link |
| FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning | arXiv | 2024 | Link |
| FedDriveScore: Federated Scoring Driving Behavior with a Mixture of Metric Distributions | arXiv | 2024 | Link |
| FedECADO: A Dynamical System Model of Federated Learning | arXiv | 2024 | Link |
| FedEGG: Federated Learning with Explicit Global Guidance | arXiv | 2024 | Link |
| FedEP: Tailoring Attention to Heterogeneous Data Distribution with Entropy Pooling for Decentralized Federated Learning | arXiv | 2024 | Link |
| FedEx-LoRA: Exact Aggregation for Federated and Efficient Fine-Tuning of Foundation Models | arXiv | 2024 | Link |
| FedEx: Expediting Federated Learning over Heterogeneous Mobile Devices by Overlapping and Participant Selection | arXiv | 2024 | Link |
| FedFDP: Fairness-Aware Federated Learning with Differential Privacy | arXiv | 2024 | Link |
| FedFMS: Exploring Federated Foundation Models for Medical Image Segmentation | arXiv | 2024 | Link |
| FedFQ: Federated Learning with Fine-Grained Quantization | arXiv | 2024 | Link |
| FedFT: Improving Communication Performance for Federated Learning with Frequency Space Transformation | arXiv | 2024 | Link |
| FedFair^3: Unlocking Threefold Fairness in Federated Learning | arXiv | 2024 | Link |
| FedFisher: Leveraging Fisher Information for One-Shot Federated Learning | arXiv | 2024 | Link |
| FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning | arXiv | 2024 | Link |
| FedGA: Federated Learning with Gradient Alignment for Error Asymmetry Mitigation | arXiv | 2024 | Link |
| FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks | arXiv | 2024 | Link |
| FedGCA: Global Consistent Augmentation Based Single-Source Federated Domain Generalization | arXiv | 2024 | Link |
| FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization | arXiv | 2024 | Link |
| FedGMark: Certifiably Robust Watermarking for Federated Graph Learning | arXiv | 2024 | Link |
| FedGS: Federated Gradient Scaling for Heterogeneous Medical Image Segmentation | arXiv | 2024 | Link |
| FedGT: Federated Node Classification with Scalable Graph Transformer | arXiv | 2024 | Link |
| FedGTA: Topology-aware Averaging for Federated Graph Learning | arXiv | 2024 | Link |
| FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning | arXiv | 2024 | Link |
| FedGlu: A personalized federated learning-based glucose forecasting algorithm for improved performance in glycemic excursion regions | arXiv | 2024 | Link |
| FedGraph: A Research Library and Benchmark for Federated Graph Learning | arXiv | 2024 | Link |
| FedGreen: Carbon-aware Federated Learning with Model Size Adaptation | arXiv | 2024 | Link |
| FedGuCci: Making Local Models More Connected in Landscape for Federated Learning | arXiv | 2024 | Link |
| FedHCDR: Federated Cross-Domain Recommendation with Hypergraph Signal Decoupling | arXiv | 2024 | Link |
| FedHPL: Efficient Heterogeneous Federated Learning with Prompt Tuning and Logit Distillation | arXiv | 2024 | Link |
| FedIA: Federated Medical Image Segmentation with Heterogeneous Annotation Completeness | arXiv | 2024 | Link |
| FedImpro: Measuring and Improving Client Update in Federated Learning | arXiv | 2024 | Link |
| FedKBP: Federated dose prediction framework for knowledge-based planning in radiation therapy | arXiv | 2024 | Link |
| FedKit: Enabling Cross-Platform Federated Learning for Android and iOS | arXiv | 2024 | Link |
| FedLF: Adaptive Logit Adjustment and Feature Optimization in Federated Long-Tailed Learning | arXiv | 2024 | Link |
| FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models | arXiv | 2024 | Link |
| FedLPPA: Learning Personalized Prompt and Aggregation for Federated Weakly-supervised Medical Image Segmentation | arXiv | 2024 | Link |
| FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing | arXiv | 2024 | Link |
| FedLion: Faster Adaptive Federated Optimization with Fewer Communication | arXiv | 2024 | Link |
| FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data | arXiv | 2024 | Link |
| FedLog: Personalized Federated Classification with Less Communication and More Flexibility | arXiv | 2024 | Link |
| FedMABA: Towards Fair Federated Learning through Multi-Armed Bandits Allocation | arXiv | 2024 | Link |
| FedMAC: Tackling Partial-Modality Missing in Federated Learning with Cross-Modal Aggregation and Contrastive Regularization | arXiv | 2024 | Link |
| FedMADE: Robust Federated Learning for Intrusion Detection in IoT Networks Using a Dynamic Aggregation Method | arXiv | 2024 | Link |
| FedMAP: Personalised Federated Learning for Real Large-Scale Healthcare Systems | arXiv | 2024 | Link |
| FedMCP: Parameter-Efficient Federated Learning with Model-Contrastive Personalization | arXiv | 2024 | Link |
| FedMID: A Data-Free Method for Using Intermediate Outputs as a Defense Mechanism Against Poisoning Attacks in Federated Learning | arXiv | 2024 | Link |
| FedMIL: Federated-Multiple Instance Learning for Video Analysis with Optimized DPP Scheduling | arXiv | 2024 | Link |
| FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Models | arXiv | 2024 | Link |
| FedMLLM: Federated Fine-tuning MLLM on Multimodal Heterogeneity Data | arXiv | 2024 | Link |
| FedMLP: Federated Multi-Label Medical Image Classification under Task Heterogeneity | arXiv | 2024 | Link |
| FedMM: Federated Multi-Modal Learning with Modality Heterogeneity in Computational Pathology | arXiv | 2024 | Link |
| FedMRL: Data Heterogeneity Aware Federated Multi-agent Deep Reinforcement Learning for Medical Imaging | arXiv | 2024 | Link |
| FedMSE: Semi-supervised federated learning approach for IoT network intrusion detection | arXiv | 2024 | Link |
| FedMUP: Federated Learning driven Malicious User Prediction Model for Secure Data Distribution in Cloud Environments | arXiv | 2024 | Link |
| FedMap: Iterative Magnitude-Based Pruning for Communication-Efficient Federated Learning | arXiv | 2024 | Link |
| FedMeS: Personalized Federated Continual Learning Leveraging Local Memory | arXiv | 2024 | Link |
| FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging | arXiv | 2024 | Link |
| FedMef: Towards Memory-efficient Federated Dynamic Pruning | arXiv | 2024 | Link |
| FedMeld: A Model-dispersal Federated Learning Framework for Space-ground Integrated Networks | arXiv | 2024 | Link |
| FedMetaMed: Federated Meta-Learning for Personalized Medication in Distributed Healthcare Systems | arXiv | 2024 | Link |
| FedMinds: Privacy-Preserving Personalized Brain Visual Decoding | arXiv | 2024 | Link |
| FedMoE-DA: Federated Mixture of Experts via Domain Aware Fine-grained Aggregation | arXiv | 2024 | Link |
| FedMoE: Personalized Federated Learning via Heterogeneous Mixture of Experts | arXiv | 2024 | Link |
| FedModule: A Modular Federated Learning Framework | arXiv | 2024 | Link |
| FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction | arXiv | 2024 | Link |
| FedNMUT -- Federated Noisy Model Update Tracking Convergence Analysis | arXiv | 2024 | Link |
| FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning | arXiv | 2024 | Link |
| FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity | arXiv | 2024 | Link |
| FedPAE: Peer-Adaptive Ensemble Learning for Asynchronous and Model-Heterogeneous Federated Learning | arXiv | 2024 | Link |
| FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction | arXiv | 2024 | Link |
| FedPCL-CDR: A Federated Prototype-based Contrastive Learning Framework for Privacy-Preserving Cross-domain Recommendation | arXiv | 2024 | Link |
| FedPFT: Federated Proxy Fine-Tuning of Foundation Models | arXiv | 2024 | Link |
| FedPIA -- Permuting and Integrating Adapters leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning | arXiv | 2024 | Link |
| FedPID: An Aggregation Method for Federated Learning | arXiv | 2024 | Link |
| FedPT: Federated Proxy-Tuning of Large Language Models on Resource-Constrained Edge Devices | arXiv | 2024 | Link |
| FedPartWhole: Federated domain generalization via consistent part-whole hierarchies | arXiv | 2024 | Link |
| FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning | arXiv | 2024 | Link |
| FedPot: A Quality-Aware Collaborative and Incentivized Honeypot-Based Detector for Smart Grid Networks | arXiv | 2024 | Link |
| FedProK: Trustworthy Federated Class-Incremental Learning via Prototypical Feature Knowledge Transfer | arXiv | 2024 | Link |
| FedProphet: Memory-Efficient Federated Adversarial Training via Robust and Consistent Cascade Learning | arXiv | 2024 | Link |
| FedPylot: Navigating Federated Learning for Real-Time Object Detection in Internet of Vehicles | arXiv | 2024 | Link |
| FedQNN: Federated Learning using Quantum Neural Networks | arXiv | 2024 | Link |
| FedQP: Towards Accurate Federated Learning using Quadratic Programming Guided Mutation | arXiv | 2024 | Link |
| FedQUIT: On-Device Federated Unlearning via a Quasi-Competent Virtual Teacher | arXiv | 2024 | Link |
| FedQV: Leveraging Quadratic Voting in Federated Learning | arXiv | 2024 | Link |
| FedRAV: Hierarchically Federated Region-Learning for Traffic Object Classification of Autonomous Vehicles | arXiv | 2024 | Link |
| FedRBE -- a decentralized privacy-preserving federated batch effect correction tool for omics data based on limma | arXiv | 2024 | Link |
| FedRC: A Rapid-Converged Hierarchical Federated Learning Framework in Street Scene Semantic Understanding | arXiv | 2024 | Link |
| FedRDMA: Communication-Efficient Cross-Silo Federated LLM via Chunked RDMA Transmission | arXiv | 2024 | Link |
| FedRGL: Robust Federated Graph Learning for Label Noise | arXiv | 2024 | Link |
| FedRKG: A Privacy-preserving Federated Recommendation Framework via Knowledge Graph Enhancement | arXiv | 2024 | Link |
| FedRLHF: A Convergence-Guaranteed Federated Framework for Privacy-Preserving and Personalized RLHF | arXiv | 2024 | Link |
| FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units | arXiv | 2024 | Link |
| FedReMa: Improving Personalized Federated Learning via Leveraging the Most Relevant Clients | arXiv | 2024 | Link |
| FedRepOpt: Gradient Re-parametrized Optimizers in Federated Learning | arXiv | 2024 | Link |
| FedReview: A Review Mechanism for Rejecting Poisoned Updates in Federated Learning | arXiv | 2024 | Link |
| FedRewind: Rewinding Continual Model Exchange for Decentralized Federated Learning | arXiv | 2024 | Link |
| FedRobo: Federated Learning Driven Autonomous Inter Robots Communication For Optimal Chemical Sprays | arXiv | 2024 | Link |
| FedSAC: Dynamic Submodel Allocation for Collaborative Fairness in Federated Learning | arXiv | 2024 | Link |
| FedSECA: Sign Election and Coordinate-wise Aggregation of Gradients for Byzantine Tolerant Federated Learning | arXiv | 2024 | Link |
| FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification | arXiv | 2024 | Link |
| FedSPD: A Soft-clustering Approach for Personalized Decentralized Federated Learning | arXiv | 2024 | Link |
| FedSPU: Personalized Federated Learning for Resource-constrained Devices with Stochastic Parameter Update | arXiv | 2024 | Link |
| FedSR: A Semi-Decentralized Federated Learning Algorithm for Non-IIDness in IoT System | arXiv | 2024 | Link |
| FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference | arXiv | 2024 | Link |
| FedSTaS: Client Stratification and Client Level Sampling for Efficient Federated Learning | arXiv | 2024 | Link |
| FedSat: A Statistical Aggregation Approach for Class Imbalanced Clients in Federated Learning | arXiv | 2024 | Link |
| FedScalar: A Communication efficient Federated Learning | arXiv | 2024 | Link |
| FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning | arXiv | 2024 | Link |
| FedSheafHN: Personalized Federated Learning on Graph-structured Data | arXiv | 2024 | Link |
| FedShift: Robust Federated Learning Aggregation Scheme in Resource Constrained Environment via Weight Shifting | arXiv | 2024 | Link |
| FedSiKD: Clients Similarity and Knowledge Distillation: Addressing Non-i.i.d. and Constraints in Federated Learning | arXiv | 2024 | Link |
| FedSlate:A Federated Deep Reinforcement Learning Recommender System | arXiv | 2024 | Link |
| FedSpaLLM: Federated Pruning of Large Language Models | arXiv | 2024 | Link |
| FedStale: leveraging stale client updates in federated learning | arXiv | 2024 | Link |
| FedStaleWeight: Buffered Asynchronous Federated Learning with Fair Aggregation via Staleness Reweighting | arXiv | 2024 | Link |
| FedStein: Enhancing Multi-Domain Federated Learning Through James-Stein Estimator | arXiv | 2024 | Link |
| FedStyle: Style-Based Federated Learning Crowdsourcing Framework for Art Commissions | arXiv | 2024 | Link |
| FedSub: Introducing Class-aware Subnetworks Fusion to Enhance Personalized Federated Learning | arXiv | 2024 | Link |
| FedSynthCT-Brain: A Federated Learning Framework for Multi-Institutional Brain MRI-to-CT Synthesis | arXiv | 2024 | Link |
| FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning | arXiv | 2024 | Link |
| FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning | arXiv | 2024 | Link |
| FedTLU: Federated Learning with Targeted Layer Updates | arXiv | 2024 | Link |
| FedTSA: A Cluster-based Two-Stage Aggregation Method for Model-heterogeneous Federated Learning | arXiv | 2024 | Link |
| FedTabDiff: Federated Learning of Diffusion Probabilistic Models for Synthetic Mixed-Type Tabular Data Generation | arXiv | 2024 | Link |
| FedUHB: Accelerating Federated Unlearning via Polyak Heavy Ball Method | arXiv | 2024 | Link |
| FedUV: Uniformity and Variance for Heterogeneous Federated Learning | arXiv | 2024 | Link |
| FedVAE: Trajectory privacy preserving based on Federated Variational AutoEncoder | arXiv | 2024 | Link |
| FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis | arXiv | 2024 | Link |
| Federal Learning Framework for Quality Evaluation of Blastomere Cleavage | arXiv | 2024 | Link |
| Federated $\mathcal{X}$-armed Bandit with Flexible Personalisation | arXiv | 2024 | Link |
| Federated Active Learning Framework for Efficient Annotation Strategy in Skin-lesion Classification | arXiv | 2024 | Link |
| Federated Adaptation for Foundation Model-based Recommendations | arXiv | 2024 | Link |
| Federated Adversarial Learning for Robust Autonomous Landing Runway Detection | arXiv | 2024 | Link |
| Federated Aggregation of Mallows Rankings: A Comparative Analysis of Borda and Lehmer Coding | arXiv | 2024 | Link |
| Federated Analytics for 6G Networks: Applications, Challenges, and Opportunities | arXiv | 2024 | Link |
| Federated Analytics-Empowered Frequent Pattern Mining for Decentralized Web 3.0 Applications | arXiv | 2024 | Link |
| Federated Assemblies | arXiv | 2024 | Link |
| Federated Automated Feature Engineering | arXiv | 2024 | Link |
| Federated Bayesian Deep Learning: The Application of Statistical Aggregation Methods to Bayesian Models | arXiv | 2024 | Link |
| Federated Bayesian Network Ensembles | arXiv | 2024 | Link |
| Federated Binary Matrix Factorization using Proximal Optimization | arXiv | 2024 | Link |
| Federated Black-Box Adaptation for Semantic Segmentation | arXiv | 2024 | Link |
| Federated Block-Term Tensor Regression for decentralised data analysis in healthcare | arXiv | 2024 | Link |
| Federated Causal Discovery from Heterogeneous Data | arXiv | 2024 | Link |
| Federated Causal Inference: Multi-Study ATE Estimation beyond Meta-Analysis | arXiv | 2024 | Link |
| Federated Class-Incremental Learning with Hierarchical Generative Prototypes | arXiv | 2024 | Link |
| Federated Class-Incremental Learning with New-Class Augmented Self-Distillation | arXiv | 2024 | Link |
| Federated Clustering: An Unsupervised Cluster-Wise Training for Decentralized Data Distributions | arXiv | 2024 | Link |
| Federated Co-tuning Framework for Large and Small Language Models | arXiv | 2024 | Link |
| Federated Combinatorial Multi-Agent Multi-Armed Bandits | arXiv | 2024 | Link |
| Federated Communication-Efficient Multi-Objective Optimization | arXiv | 2024 | Link |
| Federated Computing -- Survey on Building Blocks, Extensions and Systems | arXiv | 2024 | Link |
| Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users | arXiv | 2024 | Link |
| Federated Continual Graph Learning | arXiv | 2024 | Link |
| Federated Continual Learning Goes Online: Uncertainty-Aware Memory Management for Vision Tasks and Beyond | arXiv | 2024 | Link |
| Federated Continual Learning for Edge-AI: A Comprehensive Survey | arXiv | 2024 | Link |
| Federated Contrastive Learning for Personalized Semantic Communication | arXiv | 2024 | Link |
| Federated Contrastive Learning of Graph-Level Representations | arXiv | 2024 | Link |
| Federated Control in Markov Decision Processes | arXiv | 2024 | Link |
| Federated Cross-Training Learners for Robust Generalization under Data Heterogeneity | arXiv | 2024 | Link |
| Federated Data Model | arXiv | 2024 | Link |
| Federated Data-Driven Kalman Filtering for State Estimation | arXiv | 2024 | Link |
| Federated Data-Efficient Instruction Tuning for Large Language Models | arXiv | 2024 | Link |
| Federated Deep Q-Learning and 5G load balancing | arXiv | 2024 | Link |
| Federated Deep Reinforcement Learning-Based Intelligent Channel Access in Dense Wi-Fi Deployments | arXiv | 2024 | Link |
| Federated Deep Subspace Clustering | arXiv | 2024 | Link |
| Federated Diabetes Prediction in Canadian Adults Using Real-world Cross-Province Primary Care Data | arXiv | 2024 | Link |
| Federated Diffusion Modeling with Differential Privacy for Tabular Data Synthesis | arXiv | 2024 | Link |
| Federated Distillation for Medical Image Classification: Towards Trustworthy Computer-Aided Diagnosis | arXiv | 2024 | Link |
| Federated Distillation: A Survey | arXiv | 2024 | Link |
| Federated Document Visual Question Answering: A Pilot Study | arXiv | 2024 | Link |
| Federated Domain Generalization with Label Smoothing and Balanced Decentralized Training | arXiv | 2024 | Link |
| Federated Domain-Specific Knowledge Transfer on Large Language Models Using Synthetic Data | arXiv | 2024 | Link |
| Federated Dropout: Convergence Analysis and Resource Allocation | arXiv | 2024 | Link |
| Federated Dynamical Low-Rank Training with Global Loss Convergence Guarantees | arXiv | 2024 | Link |
| Federated Face Forgery Detection Learning with Personalized Representation | arXiv | 2024 | Link |
| Federated Fairness Analytics: Quantifying Fairness in Federated Learning | arXiv | 2024 | Link |
| Federated Fairness without Access to Sensitive Groups | arXiv | 2024 | Link |
| Federated Fine-Tuning for Pre-Trained Foundation Models Over Wireless Networks | arXiv | 2024 | Link |
| Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client Resources | arXiv | 2024 | Link |
| Federated Foundation Models on Heterogeneous Time Series | arXiv | 2024 | Link |
| Federated Frank-Wolfe Algorithm | arXiv | 2024 | Link |
| Federated GNNs for EEG-Based Stroke Assessment | arXiv | 2024 | Link |
| Federated Graph Analytics with Differential Privacy | arXiv | 2024 | Link |
| Federated Graph Learning for Cross-Domain Recommendation | arXiv | 2024 | Link |
| Federated Graph Learning for EV Charging Demand Forecasting with Personalization Against Cyberattacks | arXiv | 2024 | Link |
| Federated Graph Learning with Adaptive Importance-based Sampling | arXiv | 2024 | Link |
| Federated Graph Learning with Graphless Clients | arXiv | 2024 | Link |
| Federated Graph Learning with Structure Proxy Alignment | arXiv | 2024 | Link |
| Federated Graph Semantic and Structural Learning | arXiv | 2024 | Link |
| Federated Heavy Hitter Analytics with Local Differential Privacy | arXiv | 2024 | Link |
| Federated Hierarchical Tensor Networks: a Collaborative Learning Quantum AI-Driven Framework for Healthcare | arXiv | 2024 | Link |
| Federated Hybrid Model Pruning through Loss Landscape Exploration | arXiv | 2024 | Link |
| Federated Hybrid Training and Self-Adversarial Distillation: Towards Robust Edge Networks | arXiv | 2024 | Link |
| Federated Impression for Learning with Distributed Heterogeneous Data | arXiv | 2024 | Link |
| Federated Incomplete Multi-View Clustering with Heterogeneous Graph Neural Networks | arXiv | 2024 | Link |
| Federated Incremental Named Entity Recognition | arXiv | 2024 | Link |
| Federated Joint Learning of Robot Networks in Stroke Rehabilitation | arXiv | 2024 | Link |
| Federated Knowledge Graph Unlearning via Diffusion Model | arXiv | 2024 | Link |
| Federated Knowledge Recycling: Privacy-Preserving Synthetic Data Sharing | arXiv | 2024 | Link |
| Federated Knowledge Transfer Fine-tuning Large Server Model with Resource-Constrained IoT Clients | arXiv | 2024 | Link |
| Federated Large Language Models: Current Progress and Future Directions | arXiv | 2024 | Link |
| Federated Learning Approach to Mitigate Water Wastage | arXiv | 2024 | Link |
| Federated Learning Architectures: A Performance Evaluation with Crop Yield Prediction Application | arXiv | 2024 | Link |
| Federated Learning Can Find Friends That Are Advantageous | arXiv | 2024 | Link |
| Federated Learning Client Pruning for Noisy Labels | arXiv | 2024 | Link |
| Federated Learning Clients Clustering with Adaptation to Data Drifts | arXiv | 2024 | Link |
| Federated Learning Forecasting for Strengthening Grid Reliability and Enabling Markets for Resilience | arXiv | 2024 | Link |
| Federated Learning Method for Preserving Privacy in Face Recognition System | arXiv | 2024 | Link |
| Federated Learning Optimization: A Comparative Study of Data and Model Exchange Strategies in Dynamic Networks | arXiv | 2024 | Link |
| Federated Learning Priorities Under the European Union Artificial Intelligence Act | arXiv | 2024 | Link |
| Federated Learning Resilient to Byzantine Attacks and Data Heterogeneity | arXiv | 2024 | Link |
| Federated Learning Under Attack: Exposing Vulnerabilities through Data Poisoning Attacks in Computer Networks | arXiv | 2024 | Link |
| Federated Learning Using Coupled Tensor Train Decomposition | arXiv | 2024 | Link |
| Federated Learning With Energy Harvesting Devices: An MDP Framework | arXiv | 2024 | Link |
| Federated Learning and AI Regulation in the European Union: Who is Responsible? -- An Interdisciplinary Analysis | arXiv | 2024 | Link |
| Federated Learning and Differential Privacy Techniques on Multi-hospital Population-scale Electrocardiogram Data | arXiv | 2024 | Link |
| Federated Learning and Free-riding in a Competitive Market | arXiv | 2024 | Link |
| Federated Learning and RAG Integration: A Scalable Approach for Medical Large Language Models | arXiv | 2024 | Link |
| Federated Learning as a Service for Hierarchical Edge Networks with Heterogeneous Models | arXiv | 2024 | Link |
| Federated Learning based Latent Factorization of Tensors for Privacy-Preserving QoS Prediction | arXiv | 2024 | Link |
| Federated Learning based on Pruning and Recovery | arXiv | 2024 | Link |
| Federated Learning for Blind Image Super-Resolution | arXiv | 2024 | Link |
| Federated Learning for Collaborative Inference Systems: The Case of Early Exit Networks | arXiv | 2024 | Link |
| Federated Learning for Coronary Artery Plaque Detection in Atherosclerosis Using IVUS Imaging: A Multi-Hospital Collaboration | arXiv | 2024 | Link |
| Federated Learning for Diabetic Retinopathy Diagnosis: Enhancing Accuracy and Generalizability in Under-Resourced Regions | arXiv | 2024 | Link |
| Federated Learning for Discrete Optimal Transport with Large Population under Incomplete Information | arXiv | 2024 | Link |
| Federated Learning for Drowsiness Detection in Connected Vehicles | arXiv | 2024 | Link |
| Federated Learning for Estimating Heterogeneous Treatment Effects | arXiv | 2024 | Link |
| Federated Learning for Face Recognition via Intra-subject Self-supervised Learning | arXiv | 2024 | Link |
| Federated Learning for Heterogeneous Electronic Health Record Systems with Cost Effective Participant Selection | arXiv | 2024 | Link |
| Federated Learning for Iot/Edge/Fog Computing Systems | arXiv | 2024 | Link |
| Federated Learning for Misbehaviour Detection with Variational Autoencoders and Gaussian Mixture Models | arXiv | 2024 | Link |
| Federated Learning for Non-factorizable Models using Deep Generative Prior Approximations | arXiv | 2024 | Link |
| Federated Learning for Smart Grid: A Survey on Applications and Potential Vulnerabilities | arXiv | 2024 | Link |
| Federated Learning for Tabular Data using TabNet: A Vehicular Use-Case | arXiv | 2024 | Link |
| Federated Learning for Time-Series Healthcare Sensing with Incomplete Modalities | arXiv | 2024 | Link |
| Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation | arXiv | 2024 | Link |
| Federated Learning for UAV-Based Spectrum Sensing: Enhancing Accuracy Through SNR-Weighted Model Aggregation | arXiv | 2024 | Link |
| Federated Learning for Zero-Day Attack Detection in 5G and Beyond V2X Networks | arXiv | 2024 | Link |
| Federated Learning framework for LoRaWAN-enabled IIoT communication: A case study | arXiv | 2024 | Link |
| Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method | arXiv | 2024 | Link |
| Federated Learning in Adversarial Environments: Testbed Design and Poisoning Resilience in Cybersecurity | arXiv | 2024 | Link |
| Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data Sources | arXiv | 2024 | Link |
| Federated Learning in Genetics: Extended Analysis of Accuracy, Performance and Privacy Trade-offs | arXiv | 2024 | Link |
| Federated Learning in Healthcare: Model Misconducts, Security, Challenges, Applications, and Future Research Directions -- A Systematic Review | arXiv | 2024 | Link |
| Federated Learning in Mobile Networks: A Comprehensive Case Study on Traffic Forecasting | arXiv | 2024 | Link |
| Federated Learning in Practice: Reflections and Projections | arXiv | 2024 | Link |
| Federated Learning of Dynamic Bayesian Network via Continuous Optimization from Time Series Data | arXiv | 2024 | Link |
| Federated Learning of Large ASR Models in the Real World | arXiv | 2024 | Link |
| Federated Learning of Socially Appropriate Agent Behaviours in Simulated Home Environments | arXiv | 2024 | Link |
| Federated Learning on Riemannian Manifolds with Differential Privacy | arXiv | 2024 | Link |
| Federated Learning over Connected Modes | arXiv | 2024 | Link |
| Federated Learning under Partially Class-Disjoint Data via Manifold Reshaping | arXiv | 2024 | Link |
| Federated Learning under Periodic Client Participation and Heterogeneous Data: A New Communication-Efficient Algorithm and Analysis | arXiv | 2024 | Link |
| Federated Learning via Lattice Joint Source-Channel Coding | arXiv | 2024 | Link |
| Federated Learning with Anomaly Detection via Gradient and Reconstruction Analysis | arXiv | 2024 | Link |
| Federated Learning with Bilateral Curation for Partially Class-Disjoint Data | arXiv | 2024 | Link |
| Federated Learning with Blockchain-Enhanced Machine Unlearning: A Trustworthy Approach | arXiv | 2024 | Link |
| Federated Learning with Differential Privacy | arXiv | 2024 | Link |
| Federated Learning with Dual Attention for Robust Modulation Classification under Attacks | arXiv | 2024 | Link |
| Federated Learning with Flexible Architectures | arXiv | 2024 | Link |
| Federated Learning with Heterogeneous Data Handling for Robust Vehicular Object Detection | arXiv | 2024 | Link |
| Federated Learning with Integrated Sensing, Communication, and Computation: Frameworks and Performance Analysis | arXiv | 2024 | Link |
| Federated Learning with Label-Masking Distillation | arXiv | 2024 | Link |
| Federated Learning with Limited Node Labels | arXiv | 2024 | Link |
| Federated Learning with MMD-based Early Stopping for Adaptive GNSS Interference Classification | arXiv | 2024 | Link |
| Federated Learning with Multi-resolution Model Broadcast | arXiv | 2024 | Link |
| Federated Learning with New Knowledge: Fundamentals, Advances, and Futures | arXiv | 2024 | Link |
| Federated Learning with Only Positive Labels by Exploring Label Correlations | arXiv | 2024 | Link |
| Federated Learning with Partially Labeled Data: A Conditional Distillation Approach | arXiv | 2024 | Link |
| Federated Learning with Quantum Computing and Fully Homomorphic Encryption: A Novel Computing Paradigm Shift in Privacy-Preserving ML | arXiv | 2024 | Link |
| Federated Learning with Relative Fairness | arXiv | 2024 | Link |
| Federated Learning with Uncertainty and Personalization via Efficient Second-order Optimization | arXiv | 2024 | Link |
| Federated Learning with Workload Reduction through Partial Training of Client Models and Entropy-Based Data Selection | arXiv | 2024 | Link |
| Federated Learning with a Single Shared Image | arXiv | 2024 | Link |
| Federated Learning-based Collaborative Wideband Spectrum Sensing and Scheduling for UAVs in UTM Systems | arXiv | 2024 | Link |
| Federated Learning: A Stochastic Approximation Approach | arXiv | 2024 | Link |
| Federated Learning: Attacks, Defenses, Opportunities, and Challenges | arXiv | 2024 | Link |
| Federated Linear Contextual Bandits with Heterogeneous Clients | arXiv | 2024 | Link |
| Federated LoRA with Sparse Communication | arXiv | 2024 | Link |
| Federated Low-Rank Adaptation with Differential Privacy over Wireless Networks | arXiv | 2024 | Link |
| Federated Machine Reasoning for Resource Provisioning in 6G O-RAN | arXiv | 2024 | Link |
| Federated Modality-specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation | arXiv | 2024 | Link |
| Federated Model Heterogeneous Matryoshka Representation Learning | arXiv | 2024 | Link |
| Federated Motor Imagery Classification for Privacy-Preserving Brain-Computer Interfaces | arXiv | 2024 | Link |
| Federated Multi-Agent DRL for Radio Resource Management in Industrial 6G in-X subnetworks | arXiv | 2024 | Link |
| Federated Multi-Agent Mapping for Planetary Exploration | arXiv | 2024 | Link |
| Federated Multi-Task Learning on Non-IID Data Silos: An Experimental Study | arXiv | 2024 | Link |
| Federated Neural Nonparametric Point Processes | arXiv | 2024 | Link |
| Federated Neural Radiance Field for Distributed Intelligence | arXiv | 2024 | Link |
| Federated Nonparametric Hypothesis Testing with Differential Privacy Constraints: Optimal Rates and Adaptive Tests | arXiv | 2024 | Link |
| Federated Offline Policy Optimization with Dual Regularization | arXiv | 2024 | Link |
| Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices | arXiv | 2024 | Link |
| Federated One-Shot Ensemble Clustering | arXiv | 2024 | Link |
| Federated Online Adaptation for Deep Stereo | arXiv | 2024 | Link |
| Federated Online Prediction from Experts with Differential Privacy: Separations and Regret Speed-ups | arXiv | 2024 | Link |
| Federated Optimization with Doubly Regularized Drift Correction | arXiv | 2024 | Link |
| Federated PCA and Estimation for Spiked Covariance Matrices: Optimal Rates and Efficient Algorithm | arXiv | 2024 | Link |
| Federated PCA on Grassmann Manifold for IoT Anomaly Detection | arXiv | 2024 | Link |
| Federated Prediction-Powered Inference from Decentralized Data | arXiv | 2024 | Link |
| Federated Progressive Self-Distillation with Logits Calibration for Personalized IIoT Edge Intelligence | arXiv | 2024 | Link |
| Federated Prompt-based Decision Transformer for Customized VR Services in Mobile Edge Computing System | arXiv | 2024 | Link |
| Federated Q-Learning with Reference-Advantage Decomposition: Almost Optimal Regret and Logarithmic Communication Cost | arXiv | 2024 | Link |
| Federated Quantum-Train with Batched Parameter Generation | arXiv | 2024 | Link |
| Federated Random Forest for Partially Overlapping Clinical Data | arXiv | 2024 | Link |
| Federated Recommendation via Hybrid Retrieval Augmented Generation | arXiv | 2024 | Link |
| Federated Reinforcement Learning for Uplink Centric Broadband Communication Optimization over Unlicensed Spectrum | arXiv | 2024 | Link |
| Federated Reinforcement Learning to Optimize Teleoperated Driving Networks | arXiv | 2024 | Link |
| Federated Reinforcement Learning with Constraint Heterogeneity | arXiv | 2024 | Link |
| Federated Representation Learning in the Under-Parameterized Regime | arXiv | 2024 | Link |
| Federated Semi-supervised Learning for Medical Image Segmentation with intra-client and inter-client Consistency | arXiv | 2024 | Link |
| Federated Sequence-to-Sequence Learning for Load Disaggregation from Unbalanced Low-Resolution Smart Meter Data | arXiv | 2024 | Link |
| Federated Single Sign-On and Zero Trust Co-design for AI and HPC Digital Research Infrastructures | arXiv | 2024 | Link |
| Federated Smoothing Proximal Gradient for Quantile Regression with Non-Convex Penalties | arXiv | 2024 | Link |
| Federated Source-free Domain Adaptation for Classification: Weighted Cluster Aggregation for Unlabeled Data | arXiv | 2024 | Link |
| Federated Split Learning for Human Activity Recognition with Differential Privacy | arXiv | 2024 | Link |
| Federated Split Learning with Model Pruning and Gradient Quantization in Wireless Networks | arXiv | 2024 | Link |
| Federated Temporal Graph Clustering | arXiv | 2024 | Link |
| Federated Time Series Generation on Feature and Temporally Misaligned Data | arXiv | 2024 | Link |
| Federated Transfer Component Analysis Towards Effective VNF Profiling | arXiv | 2024 | Link |
| Federated Transfer Learning Aided Interference Classification in GNSS Signals | arXiv | 2024 | Link |
| Federated Transfer Learning Based Cooperative Wideband Spectrum Sensing with Model Pruning | arXiv | 2024 | Link |
| Federated Transfer Learning with Differential Privacy | arXiv | 2024 | Link |
| Federated Transfer Learning with Task Personalization for Condition Monitoring in Ultrasonic Metal Welding | arXiv | 2024 | Link |
| Federated TrustChain: Blockchain-Enhanced LLM Training and Unlearning | arXiv | 2024 | Link |
| Federated UCBVI: Communication-Efficient Federated Regret Minimization with Heterogeneous Agents | arXiv | 2024 | Link |
| Federated Unlearning Model Recovery in Data with Skewed Label Distributions | arXiv | 2024 | Link |
| Federated Unlearning for Human Activity Recognition | arXiv | 2024 | Link |
| Federated Unlearning: A Survey on Methods, Design Guidelines, and Evaluation Metrics | arXiv | 2024 | Link |
| Federated Unlearning: a Perspective of Stability and Fairness | arXiv | 2024 | Link |
| Federated Unsupervised Domain Generalization using Global and Local Alignment of Gradients | arXiv | 2024 | Link |
| Federated Vision-Language-Recommendation with Personalized Fusion | arXiv | 2024 | Link |
| Federated Voxel Scene Graph for Intracranial Hemorrhage | arXiv | 2024 | Link |
| Federated and Transfer Learning for Cancer Detection Based on Image Analysis | arXiv | 2024 | Link |
| Federated k-Core Decomposition: A Secure Distributed Approach | arXiv | 2024 | Link |
| Federated learning in food research | arXiv | 2024 | Link |
| Federated learning model for predicting major postoperative complications | arXiv | 2024 | Link |
| Federated learning with distributed fixed design quantum chips and quantum channels | arXiv | 2024 | Link |
| Federated mixed effects logistic regression based on one-time shared summary statistics | arXiv | 2024 | Link |
| Federated reinforcement learning for robot motion planning with zero-shot generalization | arXiv | 2024 | Link |
| Federated scientific machine learning for approximating functions and solving differential equations with data heterogeneity | arXiv | 2024 | Link |
| Federated t-SNE and UMAP for Distributed Data Visualization | arXiv | 2024 | Link |
| Federated unsupervised random forest for privacy-preserving patient stratification | arXiv | 2024 | Link |
| Federating Dynamic Models using Early-Exit Architectures for Automatic Speech Recognition on Heterogeneous Clients | arXiv | 2024 | Link |
| Federating to Grow Transformers with Constrained Resources without Model Sharing | arXiv | 2024 | Link |
| FedsLLM: Federated Split Learning for Large Language Models over Communication Networks | arXiv | 2024 | Link |
| Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity | arXiv | 2024 | Link |
| Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models | arXiv | 2024 | Link |
| Few-Shot Class-Incremental Learning with Non-IID Decentralized Data | arXiv | 2024 | Link |
| FewFedPIT: Towards Privacy-preserving and Few-shot Federated Instruction Tuning | arXiv | 2024 | Link |
| Fin-Fed-OD: Federated Outlier Detection on Financial Tabular Data | arXiv | 2024 | Link |
| Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial Clients | arXiv | 2024 | Link |
| Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning | arXiv | 2024 | Link |
| Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models | arXiv | 2024 | Link |
| FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition | arXiv | 2024 | Link |
| Flashback: Understanding and Mitigating Forgetting in Federated Learning | arXiv | 2024 | Link |
| FlexFL: Heterogeneous Federated Learning via APoZ-Guided Flexible Pruning in Uncertain Scenarios | arXiv | 2024 | Link |
| Flexible Non-interactive Short-term Implicit Certificate Generation for VANETs | arXiv | 2024 | Link |
| Flight: A FaaS-Based Framework for Complex and Hierarchical Federated Learning | arXiv | 2024 | Link |
| Floating-floating point: a highly accurate number representation with flexible Counting ranges | arXiv | 2024 | Link |
| FlocOff: Data Heterogeneity Resilient Federated Learning with Communication-Efficient Edge Offloading | arXiv | 2024 | Link |
| Flotta: a Secure and Flexible Spark-inspired Federated Learning Framework | arXiv | 2024 | Link |
| Fog enabled distributed training architecture for federated learning | arXiv | 2024 | Link |
| Forgetting Through Transforming: Enabling Federated Unlearning via Class-Aware Representation Transformation | arXiv | 2024 | Link |
| Formal Logic Enabled Personalized Federated Learning Through Property Inference | arXiv | 2024 | Link |
| Formal Logic-guided Robust Federated Learning against Poisoning Attacks | arXiv | 2024 | Link |
| Formulas for the $h$-mass on $1$-currents with coefficients in $\mathbb{R}^m$ | arXiv | 2024 | Link |
| Foundation Models in Augmentative and Alternative Communication: Opportunities and Challenges | arXiv | 2024 | Link |
| Foundation Models in Federated Learning: Assessing Backdoor Vulnerabilities | arXiv | 2024 | Link |
| Fractional Order Distributed Optimization | arXiv | 2024 | Link |
| Framework for Co-distillation Driven Federated Learning to Address Class Imbalance in Healthcare | arXiv | 2024 | Link |
| Free Lunch for Federated Remote Sensing Target Fine-Grained Classification: A Parameter-Efficient Framework | arXiv | 2024 | Link |
| Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning | arXiv | 2024 | Link |
| Freezing of Gait Detection Using Gramian Angular Fields and Federated Learning from Wearable Sensors | arXiv | 2024 | Link |
| FreqX: Analyze the Attribution Methods in Another Domain | arXiv | 2024 | Link |
| Frequency Modulation for Task-Oriented Communications and Multiple Access | arXiv | 2024 | Link |
| Frequency-Based Federated Domain Generalization for Polyp Segmentation | arXiv | 2024 | Link |
| Friends in Unexpected Places: Enhancing Local Fairness in Federated Learning through Clustering | arXiv | 2024 | Link |
| From Challenges and Pitfalls to Recommendations and Opportunities: Implementing Federated Learning in Healthcare | arXiv | 2024 | Link |
| From Federated Learning to Quantum Federated Learning for Space-Air-Ground Integrated Networks | arXiv | 2024 | Link |
| From Learning to Analytics: Improving Model Efficacy with Goal-Directed Client Selection | arXiv | 2024 | Link |
| From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client Sharpness Matching | arXiv | 2024 | Link |
| From PDFs to Structured Data: Utilizing LLM Analysis in Sports Database Management | arXiv | 2024 | Link |
| From Pretraining to Privacy: Federated Ultrasound Foundation Model with Self-Supervised Learning | arXiv | 2024 | Link |
| FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion | arXiv | 2024 | Link |
| Future-Proofing Medical Imaging with Privacy-Preserving Federated Learning and Uncertainty Quantification: A Review | arXiv | 2024 | Link |
| GAI-Enabled Explainable Personalized Federated Semi-Supervised Learning | arXiv | 2024 | Link |
| GANcrop: A Contrastive Defense Against Backdoor Attacks in Federated Learning | arXiv | 2024 | Link |
| GAS: Generative Activation-Aided Asynchronous Split Federated Learning | arXiv | 2024 | Link |
| GLARE: Guided LexRank for Advanced Retrieval in Legal Analysis | arXiv | 2024 | Link |
| GLOCALFAIR: Jointly Improving Global and Local Group Fairness in Federated Learning | arXiv | 2024 | Link |
| GNSS Interference Classification Using Federated Reservoir Computing | arXiv | 2024 | Link |
| GORAM: Graph-oriented ORAM for Efficient Ego-centric Queries on Federated Graphs | arXiv | 2024 | Link |
| GP-FL: Model-Based Hessian Estimation for Second-Order Over-the-Air Federated Learning | arXiv | 2024 | Link |
| GPFL: A Gradient Projection-Based Client Selection Framework for Efficient Federated Learning | arXiv | 2024 | Link |
| GPT Deciphering Fedspeak: Quantifying Dissent Among Hawks and Doves | arXiv | 2024 | Link |
| Generalising Battery Control in Net-Zero Buildings via Personalised Federated RL | arXiv | 2024 | Link |
| Generalized Policy Learning for Smart Grids: FL TRPO Approach | arXiv | 2024 | Link |
| Generative AI as a metacognitive agent: A comparative mixed-method study with human participants on ICF-mimicking exam performance | arXiv | 2024 | Link |
| Generative AI like ChatGPT in Blockchain Federated Learning: use cases, opportunities and future | arXiv | 2024 | Link |
| Generative AI-Powered Plugin for Robust Federated Learning in Heterogeneous IoT Networks | arXiv | 2024 | Link |
| GeoFF: Federated Serverless Workflows with Data Pre-Fetching | arXiv | 2024 | Link |
| Geographical Node Clustering and Grouping to Guarantee Data IIDness in Federated Learning | arXiv | 2024 | Link |
| German Tourism Knowledge Graph | arXiv | 2024 | Link |
| Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries | arXiv | 2024 | Link |
| Global Outlier Detection in a Federated Learning Setting with Isolation Forest | arXiv | 2024 | Link |
| Global and Local Prompts Cooperation via Optimal Transport for Federated Learning | arXiv | 2024 | Link |
| Goal-Oriented and Semantic Communication in 6G AI-Native Networks: The 6G-GOALS Approach | arXiv | 2024 | Link |
| Goldfish: An Efficient Federated Unlearning Framework | arXiv | 2024 | Link |
| Google Topics as a way out of the cookie dilemma? | arXiv | 2024 | Link |
| Google, How Should I Vote? How Users Formulate Search Queries to Find Political Information on Search Engines | arXiv | 2024 | Link |
| Gradient Coreset for Federated Learning | arXiv | 2024 | Link |
| Gradient-Congruity Guided Federated Sparse Training | arXiv | 2024 | Link |
| Gradients Stand-in for Defending Deep Leakage in Federated Learning | arXiv | 2024 | Link |
| Grants4Companies: Applying Declarative Methods for Recommending and Reasoning About Business Grants in the Austrian Public Administration (System Description) | arXiv | 2024 | Link |
| Green Federated Learning: A new era of Green Aware AI | arXiv | 2024 | Link |
| Group Distributionally Robust Dataset Distillation with Risk Minimization | arXiv | 2024 | Link |
| H-FedSN: Personalized Sparse Networks for Efficient and Accurate Hierarchical Federated Learning for IoT Applications | arXiv | 2024 | Link |
| HAFLQ: Heterogeneous Adaptive Federated LoRA Fine-tuned LLM with Quantization | arXiv | 2024 | Link |
| HERL: Tiered Federated Learning with Adaptive Homomorphic Encryption using Reinforcement Learning | arXiv | 2024 | Link |
| HF-Fed: Hierarchical based customized Federated Learning Framework for X-Ray Imaging | arXiv | 2024 | Link |
| HPC resources for CMS offline computing: An integration and scalability challenge for the Submission Infrastructure | arXiv | 2024 | Link |
| Handling Spatial-Temporal Data Heterogeneity for Federated Continual Learning via Tail Anchor | arXiv | 2024 | Link |
| Harmless Backdoor-based Client-side Watermarking in Federated Learning | arXiv | 2024 | Link |
| Harmonizing Generalization and Personalization in Federated Prompt Learning | arXiv | 2024 | Link |
| Harnessing Federated Generative Learning for Green and Sustainable Internet of Things | arXiv | 2024 | Link |
| Harnessing Increased Client Participation with Cohort-Parallel Federated Learning | arXiv | 2024 | Link |
| HeteroSwitch: Characterizing and Taming System-Induced Data Heterogeneity in Federated Learning | arXiv | 2024 | Link |
| HeteroTune: Efficient Federated Learning for Large Heterogeneous Models | arXiv | 2024 | Link |
| Heterogeneity-Aware Cooperative Federated Edge Learning with Adaptive Computation and Communication Compression | arXiv | 2024 | Link |
| Heterogeneity-Aware Coordination for Federated Learning via Stitching Pre-trained blocks | arXiv | 2024 | Link |
| Heterogeneity-Aware Memory Efficient Federated Learning via Progressive Layer Freezing | arXiv | 2024 | Link |
| Heterogeneity-Aware Resource Allocation and Topology Design for Hierarchical Federated Edge Learning | arXiv | 2024 | Link |
| Heterogeneity-aware Cross-school Electives Recommendation: a Hybrid Federated Approach | arXiv | 2024 | Link |
| Heterogeneity: An Open Challenge for Federated On-board Machine Learning | arXiv | 2024 | Link |
| Heterogeneous Federated Learning with Convolutional and Spiking Neural Networks | arXiv | 2024 | Link |
| Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models | arXiv | 2024 | Link |
| Hidden Data Privacy Breaches in Federated Learning | arXiv | 2024 | Link |
| HierSFL: Local Differential Privacy-aided Split Federated Learning in Mobile Edge Computing | arXiv | 2024 | Link |
| Hierarchical Federated ADMM | arXiv | 2024 | Link |
| Hierarchical Federated Learning in Multi-hop Cluster-Based VANETs | arXiv | 2024 | Link |
| Hierarchical Federated Learning with Multi-Timescale Gradient Correction | arXiv | 2024 | Link |
| Hierarchical Over-the-Air Federated Learning with Awareness of Interference and Data Heterogeneity | arXiv | 2024 | Link |
| Hierarchical Split Federated Learning: Convergence Analysis and System Optimization | arXiv | 2024 | Link |
| Histogram-Based Federated XGBoost using Minimal Variance Sampling for Federated Tabular Data | arXiv | 2024 | Link |
| History-Aware and Dynamic Client Contribution in Federated Learning | arXiv | 2024 | Link |
| Holistic Evaluation Metrics: Use Case Sensitive Evaluation Metrics for Federated Learning | arXiv | 2024 | Link |
| Homomorphic Encryption Based on Lattice Post-Quantum Cryptography | arXiv | 2024 | Link |
| Homomorphic Encryption-Enabled Federated Learning for Privacy-Preserving Intrusion Detection in Resource-Constrained IoV Networks | arXiv | 2024 | Link |
| How Can Incentives and Cut Layer Selection Influence Data Contribution in Split Federated Learning? | arXiv | 2024 | Link |
| How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? | arXiv | 2024 | Link |
| How much regulation do we need from genomes to society? | arXiv | 2024 | Link |
| How to Collaborate: Towards Maximizing the Generalization Performance in Cross-Silo Federated Learning | arXiv | 2024 | Link |
| How to Forget Clients in Federated Online Learning to Rank? | arXiv | 2024 | Link |
| Human society under the COVID-19 as a complex system. Mean first-passage time methodology | arXiv | 2024 | Link |
| HumekaFL: Automated Detection of Neonatal Asphyxia Using Federated Learning | arXiv | 2024 | Link |
| Hybrid FedGraph: An efficient hybrid federated learning algorithm using graph convolutional neural network | arXiv | 2024 | Link |
| Hybrid-Regularized Magnitude Pruning for Robust Federated Learning under Covariate Shift | arXiv | 2024 | Link |
| Hyper-parameter Optimization for Federated Learning with Step-wise Adaptive Mechanism | arXiv | 2024 | Link |
| HyperFedNet: Communication-Efficient Personalized Federated Learning Via Hypernetwork | arXiv | 2024 | Link |
| Hyperdimensional Computing Empowered Federated Foundation Model over Wireless Networks for Metaverse | arXiv | 2024 | Link |
| Hypernetwork-Driven Model Fusion for Federated Domain Generalization | arXiv | 2024 | Link |
| IBAC Mathematics and Mechanics: The Case for 'Integer Based Access Control' of Data Security in the Age of AI and AI Automation | arXiv | 2024 | Link |
| IMFL-AIGC: Incentive Mechanism Design for Federated Learning Empowered by Artificial Intelligence Generated Content | arXiv | 2024 | Link |
| INACIA: Integrating Large Language Models in Brazilian Audit Courts: Opportunities and Challenges | arXiv | 2024 | Link |
| INTELLECT: Adapting Cyber Threat Detection to Heterogeneous Computing Environments | arXiv | 2024 | Link |
| IPFed: Identity protected federated learning for user authentication | arXiv | 2024 | Link |
| IPMN Risk Assessment under Federated Learning Paradigm | arXiv | 2024 | Link |
| IRS Aided Federated Learning: Multiple Access and Fundamental Tradeoff | arXiv | 2024 | Link |
| Identify Backdoored Model in Federated Learning via Individual Unlearning | arXiv | 2024 | Link |
| Image Distillation for Safe Data Sharing in Histopathology | arXiv | 2024 | Link |
| Impact of Network Topology on Byzantine Resilience in Decentralized Federated Learning | arXiv | 2024 | Link |
| Impact of network topology on the performance of Decentralized Federated Learning | arXiv | 2024 | Link |
| Implementing a Nordic-Baltic Federated Health Data Network: a case report | arXiv | 2024 | Link |
| Importance Matching Lemma for Lossy Compression with Side Information | arXiv | 2024 | Link |
| Improved Generalization Bounds for Communication Efficient Federated Learning | arXiv | 2024 | Link |
| Improved Modelling of Federated Datasets using Mixtures-of-Dirichlet-Multinomials | arXiv | 2024 | Link |
| Improving Energy Efficiency in Federated Learning Through the Optimization of Communication Resources Scheduling of Wireless IoT Networks | arXiv | 2024 | Link |
| Improving LoRA in Privacy-preserving Federated Learning | arXiv | 2024 | Link |
| Improving Local Training in Federated Learning via Temperature Scaling | arXiv | 2024 | Link |
| Improving Model Fusion by Training-time Neuron Alignment with Fixed Neuron Anchors | arXiv | 2024 | Link |
| Improving Multi-Center Generalizability of GAN-Based Fat Suppression using Federated Learning | arXiv | 2024 | Link |
| Improving Transferability of Network Intrusion Detection in a Federated Learning Setup | arXiv | 2024 | Link |
| Improving accuracy and convergence of federated learning edge computing methods for generalized DER forecasting applications in power grid | arXiv | 2024 | Link |
| Improving the Classification Effect of Clinical Images of Diseases for Multi-Source Privacy Protection | arXiv | 2024 | Link |
| In-depth Analysis of Low-rank Matrix Factorisation in a Federated Setting | arXiv | 2024 | Link |
| In-depth Analysis of Privacy Threats in Federated Learning for Medical Data | arXiv | 2024 | Link |
| Incentivized Truthful Communication for Federated Bandits | arXiv | 2024 | Link |
| Incentivizing Truthful Collaboration in Heterogeneous Federated Learning | arXiv | 2024 | Link |
| Individualized Federated Learning for Traffic Prediction with Error Driven Aggregation | arXiv | 2024 | Link |
| Inference Load-Aware Orchestration for Hierarchical Federated Learning | arXiv | 2024 | Link |
| Infighting in the Dark: Multi-Label Backdoor Attack in Federated Learning | arXiv | 2024 | Link |
| Influence-oriented Personalized Federated Learning | arXiv | 2024 | Link |
| Information-Geometric Barycenters for Bayesian Federated Learning | arXiv | 2024 | Link |
| Initialisation and Network Effects in Decentralised Federated Learning | arXiv | 2024 | Link |
| Instant Answering in E-Commerce Buyer-Seller Messaging using Message-to-Question Reformulation | arXiv | 2024 | Link |
| Integrating Brain-Computer Interface and Neuromorphic Computing for Human Digital Twins | arXiv | 2024 | Link |
| Integrating audiological datasets via federated merging of Auditory Profiles | arXiv | 2024 | Link |
| Integration of Federated Learning and Blockchain in Healthcare: A Tutorial | arXiv | 2024 | Link |
| Intelligent Agents for Auction-based Federated Learning: A Survey | arXiv | 2024 | Link |
| Intelligent Data-Driven Architectural Features Orchestration for Network Slicing | arXiv | 2024 | Link |
| Intelligent EC Rearview Mirror: Enhancing Driver Safety with Dynamic Glare Mitigation via Cloud Edge Collaboration | arXiv | 2024 | Link |
| Intelligent Railroad Grade Crossing: Leveraging Semantic Segmentation and Object Detection for Enhanced Safety | arXiv | 2024 | Link |
| Internet Sanctions on Russian Media: Actions and Effects | arXiv | 2024 | Link |
| Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review | arXiv | 2024 | Link |
| Interplay of ISMS and AIMS in context of the EU AI Act | arXiv | 2024 | Link |
| Interpretable Data Fusion for Distributed Learning: A Representative Approach via Gradient Matching | arXiv | 2024 | Link |
| Investigation of Federated Learning Algorithms for Retinal Optical Coherence Tomography Image Classification with Statistical Heterogeneity | arXiv | 2024 | Link |
| Jigsaw Game: Federated Clustering | arXiv | 2024 | Link |
| Joint Channel Selection using FedDRL in V2X | arXiv | 2024 | Link |
| Joint Communication and Over-the-Air Computation for Semi-Federated Learning Towards Scalable AI in Computing-Heterogeneous IoT Systems | arXiv | 2024 | Link |
| Joint Energy and Latency Optimization in Federated Learning over Cell-Free Massive MIMO Networks | arXiv | 2024 | Link |
| Joint Model Pruning and Resource Allocation for Wireless Time-triggered Federated Learning | arXiv | 2024 | Link |
| Joint Optimization of Resource Allocation and Data Selection for Fast and Cost-Efficient Federated Edge Learning | arXiv | 2024 | Link |
| Joint Probability Selection and Power Allocation for Federated Learning | arXiv | 2024 | Link |
| Just a Simple Transformation is Enough for Data Protection in Vertical Federated Learning | arXiv | 2024 | Link |
| Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions | arXiv | 2024 | Link |
| KoReA-SFL: Knowledge Replay-based Split Federated Learning Against Catastrophic Forgetting | arXiv | 2024 | Link |
| LADI v2: Multi-label Dataset and Classifiers for Low-Altitude Disaster Imagery | arXiv | 2024 | Link |
| LEGO: Language Model Building Blocks | arXiv | 2024 | Link |
| LLM-based SPARQL Query Generation from Natural Language over Federated Knowledge Graphs | arXiv | 2024 | Link |
| La Serena School for Data Science and the Spanish Virtual Observatory Schools: Initiatives Based on Hands on Experience | arXiv | 2024 | Link |
| Label Privacy in Split Learning for Large Models with Parameter-Efficient Training | arXiv | 2024 | Link |
| LanFL: Differentially Private Federated Learning with Large Language Models using Synthetic Samples | arXiv | 2024 | Link |
| Large Language Model Federated Learning with Blockchain and Unlearning for Cross-Organizational Collaboration | arXiv | 2024 | Link |
| Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models | arXiv | 2024 | Link |
| Latency Minimization for UAV-Enabled Federated Learning: Trajectory Design and Resource Allocation | arXiv | 2024 | Link |
| Latency and Energy Minimization in NOMA-Assisted MEC Network: A Federated Deep Reinforcement Learning Approach | arXiv | 2024 | Link |
| Leakage-Resilient and Carbon-Neutral Aggregation Featuring the Federated AI-enabled Critical Infrastructure | arXiv | 2024 | Link |
| Learn How to Query from Unlabeled Data Streams in Federated Learning | arXiv | 2024 | Link |
| Learn More by Using Less: Distributed Learning with Energy-Constrained Devices | arXiv | 2024 | Link |
| Learn What You Need in Personalized Federated Learning | arXiv | 2024 | Link |
| Learnable Sparse Customization in Heterogeneous Edge Computing | arXiv | 2024 | Link |
| Learning Federated Neural Graph Databases for Answering Complex Queries from Distributed Knowledge Graphs | arXiv | 2024 | Link |
| Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels | arXiv | 2024 | Link |
| Learning Macroeconomic Policies through Dynamic Stackelberg Mean-Field Games | arXiv | 2024 | Link |
| Learning Unlabeled Clients Divergence for Federated Semi-Supervised Learning via Anchor Model Aggregation | arXiv | 2024 | Link |
| Learning from straggler clients in federated learning | arXiv | 2024 | Link |
| Lecture Notes from the NaijaCoder Summer Camp | arXiv | 2024 | Link |
| Let's Focus: Focused Backdoor Attack against Federated Transfer Learning | arXiv | 2024 | Link |
| Leveraging Federated Learning and Edge Computing for Recommendation Systems within Cloud Computing Networks | arXiv | 2024 | Link |
| Leveraging Federated Learning for Automatic Detection of Clopidogrel Treatment Failures | arXiv | 2024 | Link |
| Leveraging Foundation Models for Efficient Federated Learning in Resource-restricted Edge Networks | arXiv | 2024 | Link |
| Leveraging Foundation Models for Multi-modal Federated Learning with Incomplete Modality | arXiv | 2024 | Link |
| Leveraging Generative Adversarial Networks for Addressing Data Imbalance in Financial Market Supervision | arXiv | 2024 | Link |
| Leveraging MTD to Mitigate Poisoning Attacks in Decentralized FL with Non-IID Data | arXiv | 2024 | Link |
| Leveraging Pre-trained Models for Robust Federated Learning for Kidney Stone Type Recognition | arXiv | 2024 | Link |
| Leveraging Self-Supervised Learning for Scene Classification in Child Sexual Abuse Imagery | arXiv | 2024 | Link |
| Leveraging Unstructured Text Data for Federated Instruction Tuning of Large Language Models | arXiv | 2024 | Link |
| Leveraging feature communication in federated learning for remote sensing image classification | arXiv | 2024 | Link |
| LiD-FL: Towards List-Decodable Federated Learning | arXiv | 2024 | Link |
| LightTR: A Lightweight Framework for Federated Trajectory Recovery | arXiv | 2024 | Link |
| Lightweight Industrial Cohorted Federated Learning for Heterogeneous Assets | arXiv | 2024 | Link |
| Lightweight Unsupervised Federated Learning with Pretrained Vision Language Model | arXiv | 2024 | Link |
| Linear mixed modelling of federated data when only the mean, covariance, and sample size are available | arXiv | 2024 | Link |
| Linkage on Security, Privacy and Fairness in Federated Learning: New Balances and New Perspectives | arXiv | 2024 | Link |
| LoByITFL: Low Communication Secure and Private Federated Learning | arXiv | 2024 | Link |
| LoCoDL: Communication-Efficient Distributed Learning with Local Training and Compression | arXiv | 2024 | Link |
| LoLaFL: Low-Latency Federated Learning via Forward-only Propagation | arXiv | 2024 | Link |
| LoRA-FAIR: Federated LoRA Fine-Tuning with Aggregation and Initialization Refinement | arXiv | 2024 | Link |
| Load Balancing in Federated Learning | arXiv | 2024 | Link |
| Local Methods with Adaptivity via Scaling | arXiv | 2024 | Link |
| Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning | arXiv | 2024 | Link |
| Local expressions of hereditary classes | arXiv | 2024 | Link |
| Locally Differentially Private Online Federated Learning With Correlated Noise | arXiv | 2024 | Link |
| Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization | arXiv | 2024 | Link |
| Logit Calibration and Feature Contrast for Robust Federated Learning on Non-IID Data | arXiv | 2024 | Link |
| Logit Poisoning Attack in Distillation-based Federated Learning and its Countermeasures | arXiv | 2024 | Link |
| Logits Poisoning Attack in Federated Distillation | arXiv | 2024 | Link |
| Loop Improvement: An Efficient Approach for Extracting Shared Features from Heterogeneous Data without Central Server | arXiv | 2024 | Link |
| Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation | arXiv | 2024 | Link |
| Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning | arXiv | 2024 | Link |
| Low-Dimensional Federated Knowledge Graph Embedding via Knowledge Distillation | arXiv | 2024 | Link |
| Lurking in the shadows: Unveiling Stealthy Backdoor Attacks against Personalized Federated Learning | arXiv | 2024 | Link |
| MAP: Model Aggregation and Personalization in Federated Learning with Incomplete Classes | arXiv | 2024 | Link |
| MARINA-P: Superior Performance in Non-smooth Federated Optimization with Adaptive Stepsizes | arXiv | 2024 | Link |
| MH-pFLGB: Model Heterogeneous personalized Federated Learning via Global Bypass for Medical Image Analysis | arXiv | 2024 | Link |
| MH-pFLID: Model Heterogeneous personalized Federated Learning via Injection and Distillation for Medical Data Analysis | arXiv | 2024 | Link |
| MIP: CLIP-based Image Reconstruction from PEFT Gradients | arXiv | 2024 | Link |
| MIRA: A Method of Federated MultI-Task Learning for LaRge LAnguage Models | arXiv | 2024 | Link |
| MP-SL: Multihop Parallel Split Learning | arXiv | 2024 | Link |
| MQFL-FHE: Multimodal Quantum Federated Learning Framework with Fully Homomorphic Encryption | arXiv | 2024 | Link |
| MRI-based and metabolomics-based age scores act synergetically for mortality prediction shown by multi-cohort federated learning | arXiv | 2024 | Link |
| MSfusion: A Dynamic Model Splitting Approach for Resource-Constrained Machines to Collaboratively Train Larger Models | arXiv | 2024 | Link |
| Machine Learning Techniques for MRI Data Processing at Expanding Scale | arXiv | 2024 | Link |
| Machine Learning and the Yield Curve: Tree-Based Macroeconomic Regime Switching | arXiv | 2024 | Link |
| Machine Learning-Assisted Sustainable Remanufacturing, Reusing and Recycling for Lithium-ion Batteries | arXiv | 2024 | Link |
| Machine Unlearning: A Comprehensive Survey | arXiv | 2024 | Link |
| Machine and Deep Learning for Credit Scoring: A compliant approach | arXiv | 2024 | Link |
| Machine learning in business process management: A systematic literature review | arXiv | 2024 | Link |
| Making Privacy-preserving Federated Graph Analytics with Strong Guarantees Practical (for Certain Queries) | arXiv | 2024 | Link |
| Manifolds of positive reach, differentiability, tangent variation, and attaining the reach | arXiv | 2024 | Link |
| Many-Objective Multi-Solution Transport | arXiv | 2024 | Link |
| Marginal and training-conditional guarantees in one-shot federated conformal prediction | arXiv | 2024 | Link |
| Marking the Pace: A Blockchain-Enhanced Privacy-Traceable Strategy for Federated Recommender Systems | arXiv | 2024 | Link |
| Masked Autoencoders are Parameter-Efficient Federated Continual Learners | arXiv | 2024 | Link |
| Massive Digital Over-the-Air Computation for Communication-Efficient Federated Edge Learning | arXiv | 2024 | Link |
| Maverick-Aware Shapley Valuation for Client Selection in Federated Learning | arXiv | 2024 | Link |
| Mayfly: Private Aggregate Insights from Ephemeral Streams of On-Device User Data | arXiv | 2024 | Link |
| Maze Discovery using Multiple Robots via Federated Learning | arXiv | 2024 | Link |
| MeanCache: User-Centric Semantic Caching for LLM Web Services | arXiv | 2024 | Link |
| Measuring Data Similarity for Efficient Federated Learning: A Feasibility Study | arXiv | 2024 | Link |
| Mechanism for Decision-aware Collaborative Federated Learning: A Pitfall of Shapley Values | arXiv | 2024 | Link |
| Mechanisms for Data Sharing in Collaborative Causal Inference (Extended Version) | arXiv | 2024 | Link |
| Memory Backdoor Attacks on Neural Networks | arXiv | 2024 | Link |
| Meta-FL: A Novel Meta-Learning Framework for Optimizing Heterogeneous Model Aggregation in Federated Learning | arXiv | 2024 | Link |
| Meta-Learning for Federated Face Recognition in Imbalanced Data Regimes | arXiv | 2024 | Link |
| MetaTrading: An Immersion-Aware Model Trading Framework for Vehicular Metaverse Services | arXiv | 2024 | Link |
| Metadata-Driven Federated Learning of Connectional Brain Templates in Non-IID Multi-Domain Scenarios | arXiv | 2024 | Link |
| Methods with Local Steps and Random Reshuffling for Generally Smooth Non-Convex Federated Optimization | arXiv | 2024 | Link |
| MicroPython Testbed for Federated Learning Algorithms | arXiv | 2024 | Link |
| MiniFed : Integrating LLM-based Agentic-Workflow for Simulating FOMC Meeting | arXiv | 2024 | Link |
| Minimizing Energy Costs in Deep Learning Model Training: The Gaussian Sampling Approach | arXiv | 2024 | Link |
| Mitigating Noise Detriment in Differentially Private Federated Learning with Model Pre-training | arXiv | 2024 | Link |
| Mitigating System Bias in Resource Constrained Asynchronous Federated Learning Systems | arXiv | 2024 | Link |
| Mixed-Precision Federated Learning via Multi-Precision Over-The-Air Aggregation | arXiv | 2024 | Link |
| Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models | arXiv | 2024 | Link |
| Mjolnir: Breaking the Shield of Perturbation-Protected Gradients via Adaptive Diffusion | arXiv | 2024 | Link |
| Mobility Accelerates Learning: Convergence Analysis on Hierarchical Federated Learning in Vehicular Networks | arXiv | 2024 | Link |
| Mobility-Aware Federated Learning: Multi-Armed Bandit Based Selection in Vehicular Network | arXiv | 2024 | Link |
| Mobility-Aware Federated Self-supervised Learning in Vehicular Network | arXiv | 2024 | Link |
| Modality Alignment Meets Federated Broadcasting | arXiv | 2024 | Link |
| ModalityMirror: Improving Audio Classification in Modality Heterogeneity Federated Learning with Multimodal Distillation | arXiv | 2024 | Link |
| Model CBOR Serialization for Federated Learning | arXiv | 2024 | Link |
| Model Hijacking Attack in Federated Learning | arXiv | 2024 | Link |
| Model Partition and Resource Allocation for Split Learning in Vehicular Edge Networks | arXiv | 2024 | Link |
| Modeling Distributed Computing Infrastructures for HEP Applications | arXiv | 2024 | Link |
| Modeling Information Narrative Detection and Evolution on Telegram during the Russia-Ukraine War | arXiv | 2024 | Link |
| Modeling Inter-Intra Heterogeneity for Graph Federated Learning | arXiv | 2024 | Link |
| Momentum Approximation in Asynchronous Private Federated Learning | arXiv | 2024 | Link |
| Momentum-Based Federated Reinforcement Learning with Interaction and Communication Efficiency | arXiv | 2024 | Link |
| Monetary Policies on Green Financial Markets: Evidence from a Multi-Moment Connectedness Network | arXiv | 2024 | Link |
| Movable Antenna-Aided Federated Learning with Over-the-Air Aggregation: Joint Optimization of Positioning, Beamforming, and User Selection | arXiv | 2024 | Link |
| Multi-Continental Healthcare Modelling Using Blockchain-Enabled Federated Learning | arXiv | 2024 | Link |
| Multi-Level Additive Modeling for Structured Non-IID Federated Learning | arXiv | 2024 | Link |
| Multi-Modal Dataset Creation for Federated Learning with DICOM Structured Reports | arXiv | 2024 | Link |
| Multi-Modal Federated Learning for Cancer Staging over Non-IID Datasets with Unbalanced Modalities | arXiv | 2024 | Link |
| Multi-Source Collaborative Gradient Discrepancy Minimization for Federated Domain Generalization | arXiv | 2024 | Link |
| Multi-Task Learning as enabler for General-Purpose AI-native RAN | arXiv | 2024 | Link |
| Multi-client Functional Encryption for Set Intersection with Non-monotonic Access Structures in Federated Learning | arXiv | 2024 | Link |
| Multi-level Personalized Federated Learning on Heterogeneous and Long-Tailed Data | arXiv | 2024 | Link |
| Multi-model learning by sequential reading of untrimmed videos for action recognition | arXiv | 2024 | Link |
| MultiConfederated Learning: Inclusive Non-IID Data handling with Decentralized Federated Learning | arXiv | 2024 | Link |
| Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach | arXiv | 2024 | Link |
| Multiple Access Techniques for Intelligent and Multi-Functional 6G: Tutorial, Survey, and Outlook | arXiv | 2024 | Link |
| Multiple Access in the Era of Distributed Computing and Edge Intelligence | arXiv | 2024 | Link |
| NAC-QFL: Noise Aware Clustered Quantum Federated Learning | arXiv | 2024 | Link |
| NCAirFL: CSI-Free Over-the-Air Federated Learning Based on Non-Coherent Detection | arXiv | 2024 | Link |
| NTK-DFL: Enhancing Decentralized Federated Learning in Heterogeneous Settings via Neural Tangent Kernel | arXiv | 2024 | Link |
| Navigating Distribution Shifts in Medical Image Analysis: A Survey | arXiv | 2024 | Link |
| Navigating Fog Federation: Classifying Current Research and Identifying Challenges | arXiv | 2024 | Link |
| Navigating Heterogeneity and Privacy in One-Shot Federated Learning with Diffusion Models | arXiv | 2024 | Link |
| Navigating High-Degree Heterogeneity: Federated Learning in Aerial and Space Networks | arXiv | 2024 | Link |
| Navigating the Future of Federated Recommendation Systems with Foundation Models | arXiv | 2024 | Link |
| NebulaFL: Effective Asynchronous Federated Learning for JointCloud Computing | arXiv | 2024 | Link |
| Neighborhood and Global Perturbations Supported SAM in Federated Learning: From Local Tweaks To Global Awareness | arXiv | 2024 | Link |
| Network EM Algorithm for Gaussian Mixture Model in Decentralized Federated Learning | arXiv | 2024 | Link |
| NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA | arXiv | 2024 | Link |
| Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning | arXiv | 2024 | Link |
| Noise-Robust and Resource-Efficient ADMM-based Federated Learning | arXiv | 2024 | Link |
| Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning | arXiv | 2024 | Link |
| Non-Cooperative Backdoor Attacks in Federated Learning: A New Threat Landscape | arXiv | 2024 | Link |
| Non-Federated Multi-Task Split Learning for Heterogeneous Sources | arXiv | 2024 | Link |
| Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions | arXiv | 2024 | Link |
| Non-parametric regularization for class imbalance federated medical image classification | arXiv | 2024 | Link |
| Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data | arXiv | 2024 | Link |
| Not All Federated Learning Algorithms Are Created Equal: A Performance Evaluation Study | arXiv | 2024 | Link |
| Novel clustered federated learning based on local loss | arXiv | 2024 | Link |
| OCD-FL: A Novel Communication-Efficient Peer Selection-based Decentralized Federated Learning | arXiv | 2024 | Link |
| OledFL: Unleashing the Potential of Decentralized Federated Learning via Opposite Lookahead Enhancement | arXiv | 2024 | Link |
| On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness | arXiv | 2024 | Link |
| On Homomorphic Encryption Based Strategies for Class Imbalance in Federated Learning | arXiv | 2024 | Link |
| On Principled Local Optimization Methods for Federated Learning | arXiv | 2024 | Link |
| On Sampling Strategies for Spectral Model Sharding | arXiv | 2024 | Link |
| On Using Secure Aggregation in Differentially Private Federated Learning with Multiple Local Steps | arXiv | 2024 | Link |
| On Vessel Location Forecasting and the Effect of Federated Learning | arXiv | 2024 | Link |
| On comass and stable systolic inequalities | arXiv | 2024 | Link |
| On the Byzantine-Resilience of Distillation-Based Federated Learning | arXiv | 2024 | Link |
| On the Compliance of Self-Sovereign Identity with GDPR Principles: A Critical Review | arXiv | 2024 | Link |
| On the Convergence Rates of Federated Q-Learning across Heterogeneous Environments | arXiv | 2024 | Link |
| On the Convergence of Continual Federated Learning Using Incrementally Aggregated Gradients | arXiv | 2024 | Link |
| On the Convergence of FedProx with Extrapolation and Inexact Prox | arXiv | 2024 | Link |
| On the Convergence of Federated Learning Algorithms without Data Similarity | arXiv | 2024 | Link |
| On the Convergence of Zeroth-Order Federated Tuning for Large Language Models | arXiv | 2024 | Link |
| On the Convergence of a Federated Expectation-Maximization Algorithm | arXiv | 2024 | Link |
| On the Efficiency of Privacy Attacks in Federated Learning | arXiv | 2024 | Link |
| On the Federated Learning Framework for Cooperative Perception | arXiv | 2024 | Link |
| On the Impact of Data Heterogeneity in Federated Learning Environments with Application to Healthcare Networks | arXiv | 2024 | Link |
| On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations | arXiv | 2024 | Link |
| On the Necessity of Collaboration for Online Model Selection with Decentralized Data | arXiv | 2024 | Link |
| On the Robustness of Distributed Machine Learning against Transfer Attacks | arXiv | 2024 | Link |
| On the Volatility of Shapley-Based Contribution Metrics in Federated Learning | arXiv | 2024 | Link |
| On-Demand Model and Client Deployment in Federated Learning with Deep Reinforcement Learning | arXiv | 2024 | Link |
| On-Device Collaborative Language Modeling via a Mixture of Generalists and Specialists | arXiv | 2024 | Link |
| On-demand Quantization for Green Federated Generative Diffusion in Mobile Edge Networks | arXiv | 2024 | Link |
| On-device Content-based Recommendation with Single-shot Embedding Pruning: A Cooperative Game Perspective | arXiv | 2024 | Link |
| On-device Federated Learning in Smartphones for Detecting Depression from Reddit Posts | arXiv | 2024 | Link |
| On-device Online Learning and Semantic Management of TinyML Systems | arXiv | 2024 | Link |
| One Node Per User: Node-Level Federated Learning for Graph Neural Networks | arXiv | 2024 | Link |
| One-Shot Federated Learning with Bayesian Pseudocoresets | arXiv | 2024 | Link |
| One-Shot Sequential Federated Learning for Non-IID Data by Enhancing Local Model Diversity | arXiv | 2024 | Link |
| One-shot Federated Learning via Synthetic Distiller-Distillate Communication | arXiv | 2024 | Link |
| Online Client Scheduling and Resource Allocation for Efficient Federated Edge Learning | arXiv | 2024 | Link |
| Online Mirror Descent for Tchebycheff Scalarization in Multi-Objective Optimization | arXiv | 2024 | Link |
| Online-Score-Aided Federated Learning: Taming the Resource Constraints in Wireless Networks | arXiv | 2024 | Link |
| Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation | arXiv | 2024 | Link |
| Open Challenges and Opportunities in Federated Foundation Models Towards Biomedical Healthcare | arXiv | 2024 | Link |
| Open-Source AI-based SE Tools: Opportunities and Challenges of Collaborative Software Learning | arXiv | 2024 | Link |
| Open-Vocabulary Federated Learning with Multimodal Prototyping | arXiv | 2024 | Link |
| OpenFGL: A Comprehensive Benchmark for Federated Graph Learning | arXiv | 2024 | Link |
| OpenFLAME: A Federated Spatial Naming Infrastructure | arXiv | 2024 | Link |
| OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning | arXiv | 2024 | Link |
| Optical materials discovery and design with federated databases and machine learning | arXiv | 2024 | Link |
| Optimal Batch Allocation for Wireless Federated Learning | arXiv | 2024 | Link |
| Optimal Communication and Key Rate Region for Hierarchical Secure Aggregation with User Collusion | arXiv | 2024 | Link |
| Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints | arXiv | 2024 | Link |
| Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints | arXiv | 2024 | Link |
| Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample Regime | arXiv | 2024 | Link |
| Optimal Rates for $O(1)$-Smooth DP-SCO with a Single Epoch and Large Batches | arXiv | 2024 | Link |
| Optimal estimation in private distributed functional data analysis | arXiv | 2024 | Link |
| Optimisation of federated learning settings under statistical heterogeneity variations | arXiv | 2024 | Link |
| Optimized Federated Multitask Learning in Mobile Edge Networks: A Hybrid Client Selection and Model Aggregation Approach | arXiv | 2024 | Link |
| Optimizing Cross-Client Domain Coverage for Federated Instruction Tuning of Large Language Models | arXiv | 2024 | Link |
| Optimizing Federated Graph Learning with Inherent Structural Knowledge and Dual-Densely Connected GNNs | arXiv | 2024 | Link |
| Optimizing Federated Learning by Entropy-Based Client Selection | arXiv | 2024 | Link |
| Optimizing NOMA Transmissions to Advance Federated Learning in Vehicular Networks | arXiv | 2024 | Link |
| Optimizing Personalized Federated Learning through Adaptive Layer-Wise Learning | arXiv | 2024 | Link |
| Optimizing Split Points for Error-Resilient SplitFed Learning | arXiv | 2024 | Link |
| Orchestrating Federated Learning in Space-Air-Ground Integrated Networks: Adaptive Data Offloading and Seamless Handover | arXiv | 2024 | Link |
| Organizing a Society of Language Models: Structures and Mechanisms for Enhanced Collective Intelligence | arXiv | 2024 | Link |
| Over-the-Air Federated Adaptive Data Analysis: Preserving Accuracy via Opportunistic Differential Privacy | arXiv | 2024 | Link |
| Over-the-Air Federated Learning in Cell-Free MIMO with Long-term Power Constraint | arXiv | 2024 | Link |
| Over-the-Air Federated Learning via Weighted Aggregation | arXiv | 2024 | Link |
| Over-the-Air Federated Learning with Phase Noise: Analysis and Countermeasures | arXiv | 2024 | Link |
| Overcoming Catastrophic Forgetting in Federated Class-Incremental Learning via Federated Global Twin Generator | arXiv | 2024 | Link |
| Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors | arXiv | 2024 | Link |
| Overcoming label shift with target-aware federated learning | arXiv | 2024 | Link |
| Overcoming the Challenges of Batch Normalization in Federated Learning | arXiv | 2024 | Link |
| Overlay-based Decentralized Federated Learning in Bandwidth-limited Networks | arXiv | 2024 | Link |
| Overpredictive Signal Analytics in Federated Learning: Algorithms and Analysis | arXiv | 2024 | Link |
| P3GNN: A Privacy-Preserving Provenance Graph-Based Model for APT Detection in Software Defined Networking | arXiv | 2024 | Link |
| P3LS: Partial Least Squares under Privacy Preservation | arXiv | 2024 | Link |
| P4: Towards private, personalized, and Peer-to-Peer learning | arXiv | 2024 | Link |
| P4GCN: Vertical Federated Social Recommendation with Privacy-Preserving Two-Party Graph Convolution Network | arXiv | 2024 | Link |
| PAFedFV: Personalized and Asynchronous Federated Learning for Finger Vein Recognition | arXiv | 2024 | Link |
| PAPAYA Federated Analytics Stack: Engineering Privacy, Scalability and Practicality | arXiv | 2024 | Link |
| PARDON: Privacy-Aware and Robust Federated Domain Generalization | arXiv | 2024 | Link |
| PDC-FRS: Privacy-preserving Data Contribution for Federated Recommender System | arXiv | 2024 | Link |
| PDFed: Privacy-Preserving and Decentralized Asynchronous Federated Learning for Diffusion Models | arXiv | 2024 | Link |
| PEFT-as-an-Attack! Jailbreaking Language Models during Federated Parameter-Efficient Fine-Tuning | arXiv | 2024 | Link |
| PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning | arXiv | 2024 | Link |
| PPS-QMIX: Periodically Parameter Sharing for Accelerating Convergence of Multi-Agent Reinforcement Learning | arXiv | 2024 | Link |
| PPVF: An Efficient Privacy-Preserving Online Video Fetching Framework with Correlated Differential Privacy | arXiv | 2024 | Link |
| PTF-FSR: A Parameter Transmission-Free Federated Sequential Recommender System | arXiv | 2024 | Link |
| PUFFLE: Balancing Privacy, Utility, and Fairness in Federated Learning | arXiv | 2024 | Link |
| PackVFL: Efficient HE Packing for Vertical Federated Learning | arXiv | 2024 | Link |
| Painless Federated Learning: An Interplay of Line-Search and Extrapolation | arXiv | 2024 | Link |
| ParallelSFL: A Novel Split Federated Learning Framework Tackling Heterogeneity Issues | arXiv | 2024 | Link |
| Parameter-Efficient Transfer Learning under Federated Learning for Automatic Speech Recognition | arXiv | 2024 | Link |
| Parameterizing Federated Continual Learning for Reproducible Research | arXiv | 2024 | Link |
| Parametric Feature Transfer: One-shot Federated Learning with Foundation Models | arXiv | 2024 | Link |
| Partial Federated Learning | arXiv | 2024 | Link |
| Partial Knowledge Distillation for Alleviating the Inherent Inter-Class Discrepancy in Federated Learning | arXiv | 2024 | Link |
| Past, Present, Future: A Comprehensive Exploration of AI Use Cases in the UMBRELLA IoT Testbed | arXiv | 2024 | Link |
| PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection | arXiv | 2024 | Link |
| Peak-Controlled Logits Poisoning Attack in Federated Distillation | arXiv | 2024 | Link |
| PeerFL: A Simulator for Peer-to-Peer Federated Learning at Scale | arXiv | 2024 | Link |
| Pencil: Private and Extensible Collaborative Learning without the Non-Colluding Assumption | arXiv | 2024 | Link |
| Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach | arXiv | 2024 | Link |
| Personalized Federated Deep Reinforcement Learning for Heterogeneous Edge Content Caching Networks | arXiv | 2024 | Link |
| Personalized Federated Domain-Incremental Learning based on Adaptive Knowledge Matching | arXiv | 2024 | Link |
| Personalized Federated Fine-Tuning for LLMs via Data-Driven Heterogeneous Model Architectures | arXiv | 2024 | Link |
| Personalized Federated Instruction Tuning via Neural Architecture Search | arXiv | 2024 | Link |
| Personalized Federated Knowledge Graph Embedding with Client-Wise Relation Graph | arXiv | 2024 | Link |
| Personalized Federated Learning Techniques: Empirical Analysis | arXiv | 2024 | Link |
| Personalized Federated Learning for Cross-view Geo-localization | arXiv | 2024 | Link |
| Personalized Federated Learning for Generative AI-Assisted Semantic Communications | arXiv | 2024 | Link |
| Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach | arXiv | 2024 | Link |
| Personalized Federated Learning for Statistical Heterogeneity | arXiv | 2024 | Link |
| Personalized Federated Learning for improving radar based precipitation nowcasting on heterogeneous areas | arXiv | 2024 | Link |
| Personalized Federated Learning of Probabilistic Models: A PAC-Bayesian Approach | arXiv | 2024 | Link |
| Personalized Federated Learning on Data with Dynamic Heterogeneity under Limited Storage | arXiv | 2024 | Link |
| Personalized Federated Learning on Heterogeneous and Long-Tailed Data via Expert Collaborative Learning | arXiv | 2024 | Link |
| Personalized Federated Learning via Backbone Self-Distillation | arXiv | 2024 | Link |
| Personalized Federated Learning via Feature Distribution Adaptation | arXiv | 2024 | Link |
| Personalized Federated Learning via Sequential Layer Expansion in Representation Learning | arXiv | 2024 | Link |
| Personalized Federated Learning via Stacking | arXiv | 2024 | Link |
| Personalized Federated Learning with Adaptive Feature Aggregation and Knowledge Transfer | arXiv | 2024 | Link |
| Personalized Federated Learning with Mixture of Models for Adaptive Prediction and Model Fine-Tuning | arXiv | 2024 | Link |
| Personalized Hierarchical Split Federated Learning in Wireless Networks | arXiv | 2024 | Link |
| Personalized Interpretation on Federated Learning: A Virtual Concepts approach | arXiv | 2024 | Link |
| Personalized Multi-tier Federated Learning | arXiv | 2024 | Link |
| Personalized One-shot Federated Graph Learning for Heterogeneous Clients | arXiv | 2024 | Link |
| Personalized Over-the-Air Federated Learning with Personalized Reconfigurable Intelligent Surfaces | arXiv | 2024 | Link |
| Personalized Quantum Federated Learning for Privacy Image Classification | arXiv | 2024 | Link |
| Personalized Wireless Federated Learning for Large Language Models | arXiv | 2024 | Link |
| Personalized federated learning based on feature fusion | arXiv | 2024 | Link |
| Personalizing Federated Instrument Segmentation with Visual Trait Priors in Robotic Surgery | arXiv | 2024 | Link |
| Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning | arXiv | 2024 | Link |
| Photon: Federated LLM Pre-Training | arXiv | 2024 | Link |
| PlateSegFL: A Privacy-Preserving License Plate Detection Using Federated Segmentation Learning | arXiv | 2024 | Link |
| Platforms for Efficient and Incentive-Aware Collaboration | arXiv | 2024 | Link |
| Poisoning Attacks on Federated Learning for Autonomous Driving | arXiv | 2024 | Link |
| Poisoning Attacks on Federated Learning-based Wireless Traffic Prediction | arXiv | 2024 | Link |
| Poisoning Federated Recommender Systems with Fake Users | arXiv | 2024 | Link |
| Poisoning Prevention in Federated Learning and Differential Privacy via Stateful Proofs of Execution | arXiv | 2024 | Link |
| Poisoning with A Pill: Circumventing Detection in Federated Learning | arXiv | 2024 | Link |
| PolypDB: A Curated Multi-Center Dataset for Development of AI Algorithms in Colonoscopy | arXiv | 2024 | Link |
| Position Paper: Assessing Robustness, Privacy, and Fairness in Federated Learning Integrated with Foundation Models | arXiv | 2024 | Link |
| Position: Challenges and Opportunities for Differential Privacy in the U.S. Federal Government | arXiv | 2024 | Link |
| Post-Fair Federated Learning: Achieving Group and Community Fairness in Federated Learning via Post-processing | arXiv | 2024 | Link |
| PowerTrain: Fast, Generalizable Time and Power Prediction Models to Optimize DNN Training on Accelerated Edges | arXiv | 2024 | Link |
| Powering the Future of IoT: Federated Learning for Optimized Power Consumption and Enhanced Privacy | arXiv | 2024 | Link |
| PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs | arXiv | 2024 | Link |
| PraFFL: A Preference-Aware Scheme in Fair Federated Learning | arXiv | 2024 | Link |
| Practical Insights into Knowledge Distillation for Pre-Trained Models | arXiv | 2024 | Link |
| Pre-Training and Personalized Fine-Tuning via Over-the-Air Federated Meta-Learning: Convergence-Generalization Trade-Offs | arXiv | 2024 | Link |
| Precision Guided Approach to Mitigate Data Poisoning Attacks in Federated Learning | arXiv | 2024 | Link |
| Predicted Brightness of Starlink Internet Satellites at 350 km | arXiv | 2024 | Link |
| Predicting Infant Brain Connectivity with Federated Multi-Trajectory GNNs using Scarce Data | arXiv | 2024 | Link |
| Predicting Quality of Video Gaming Experience Using Global-Scale Telemetry Data and Federated Learning | arXiv | 2024 | Link |
| Predicting Survival of Hemodialysis Patients using Federated Learning | arXiv | 2024 | Link |
| Predicting Traffic Flow with Federated Learning and Graph Neural with Asynchronous Computations Network | arXiv | 2024 | Link |
| Prediction and Detection of Terminal Diseases Using Internet of Medical Things: A Review | arXiv | 2024 | Link |
| Predictive Power of LLMs in Financial Markets | arXiv | 2024 | Link |
| Prioritizing Modalities: Flexible Importance Scheduling in Federated Multimodal Learning | arXiv | 2024 | Link |
| PrivFED -- A Framework for Privacy-Preserving Federated Learning in Enhanced Breast Cancer Diagnosis | arXiv | 2024 | Link |
| Privacy Preserved Blood Glucose Level Cross-Prediction: An Asynchronous Decentralized Federated Learning Approach | arXiv | 2024 | Link |
| Privacy Preserving Federated Learning in Medical Imaging with Uncertainty Estimation | arXiv | 2024 | Link |
| Privacy Preserving Machine Learning for Electronic Health Records using Federated Learning and Differential Privacy | arXiv | 2024 | Link |
| Privacy in Fine-tuning Large Language Models: Attacks, Defenses, and Future Directions | arXiv | 2024 | Link |
| Privacy-Aware Spectrum Pricing and Power Control Optimization for LEO Satellite Internet-of-Things | arXiv | 2024 | Link |
| Privacy-Enhanced Over-the-Air Federated Learning via Client-Driven Power Balancing | arXiv | 2024 | Link |
| Privacy-Enhanced Training-as-a-Service for On-Device Intelligence: Concept, Architectural Scheme, and Open Problems | arXiv | 2024 | Link |
| Privacy-Enhancing Collaborative Information Sharing through Federated Learning -- A Case of the Insurance Industry | arXiv | 2024 | Link |
| Privacy-Preserved Taxi Demand Prediction System Utilizing Distributed Data | arXiv | 2024 | Link |
| Privacy-Preserving Customer Support: A Framework for Secure and Scalable Interactions | arXiv | 2024 | Link |
| Privacy-Preserving Data Deduplication for Enhancing Federated Learning of Language Models (Extended Version) | arXiv | 2024 | Link |
| Privacy-Preserving Data Fusion for Traffic State Estimation: A Vertical Federated Learning Approach | arXiv | 2024 | Link |
| Privacy-Preserving Distributed Learning for Residential Short-Term Load Forecasting | arXiv | 2024 | Link |
| Privacy-Preserving Edge Federated Learning for Intelligent Mobile-Health Systems | arXiv | 2024 | Link |
| Privacy-Preserving Federated Learning via Homomorphic Adversarial Networks | arXiv | 2024 | Link |
| Privacy-Preserving Federated Unsupervised Domain Adaptation for Regression on Small-Scale and High-Dimensional Biological Data | arXiv | 2024 | Link |
| Privacy-Preserving Intrusion Detection in Software-defined VANET using Federated Learning with BERT | arXiv | 2024 | Link |
| Privacy-Preserving Multi-Center Differential Protein Abundance Analysis with FedProt | arXiv | 2024 | Link |
| Privacy-Preserving Orthogonal Aggregation for Guaranteeing Gender Fairness in Federated Recommendation | arXiv | 2024 | Link |
| Privacy-Preserving Sequential Recommendation with Collaborative Confusion | arXiv | 2024 | Link |
| Privacy-Preserving in Blockchain-based Federated Learning Systems | arXiv | 2024 | Link |
| Privacy-Preserving in Medical Image Analysis: A Review of Methods and Applications | arXiv | 2024 | Link |
| Privacy-aware Berrut Approximated Coded Computing for Federated Learning | arXiv | 2024 | Link |
| Privacy-preserving Quantification of Non-IID Degree in Federated Learning | arXiv | 2024 | Link |
| Privacy-preserving federated prediction of pain intensity change based on multi-center survey data | arXiv | 2024 | Link |
| Privacy-preserving gradient-based fair federated learning | arXiv | 2024 | Link |
| Private Approximate Query over Horizontal Data Federation | arXiv | 2024 | Link |
| Private Heterogeneous Federated Learning Without a Trusted Server Revisited: Error-Optimal and Communication-Efficient Algorithms for Convex Losses | arXiv | 2024 | Link |
| Private Wasserstein Distance | arXiv | 2024 | Link |
| Private and Federated Stochastic Convex Optimization: Efficient Strategies for Centralized Systems | arXiv | 2024 | Link |
| Private federated discovery of out-of-vocabulary words for Gboard | arXiv | 2024 | Link |
| ProFL: Performative Robust Optimal Federated Learning | arXiv | 2024 | Link |
| ProFe: Communication-Efficient Decentralized Federated Learning via Distillation and Prototypes | arXiv | 2024 | Link |
| Probing the Efficacy of Federated Parameter-Efficient Fine-Tuning of Vision Transformers for Medical Image Classification | arXiv | 2024 | Link |
| Promoting Data and Model Privacy in Federated Learning through Quantized LoRA | arXiv | 2024 | Link |
| Prompt Public Large Language Models to Synthesize Data for Private On-device Applications | arXiv | 2024 | Link |
| Prompt-based Personalized Federated Learning for Medical Visual Question Answering | arXiv | 2024 | Link |
| Proof-of-Collaborative-Learning: A Multi-winner Federated Learning Consensus Algorithm | arXiv | 2024 | Link |
| Protecting Privacy in Federated Time Series Analysis: A Pragmatic Technology Review for Application Developers | arXiv | 2024 | Link |
| Provable Mutual Benefits from Federated Learning in Privacy-Sensitive Domains | arXiv | 2024 | Link |
| Proximal Control of UAVs with Federated Learning for Human-Robot Collaborative Domains | arXiv | 2024 | Link |
| Proximity-based Self-Federated Learning | arXiv | 2024 | Link |
| QBI: Quantile-Based Bias Initialization for Efficient Private Data Reconstruction in Federated Learning | arXiv | 2024 | Link |
| QFNN-FFD: Quantum Federated Neural Network for Financial Fraud Detection | arXiv | 2024 | Link |
| Quantized and Asynchronous Federated Learning | arXiv | 2024 | Link |
| Quantum Federated Learning Experiments in the Cloud with Data Encoding | arXiv | 2024 | Link |
| Quantum Optimization for the Future Energy Grid: Summary and Quantum Utility Prospects | arXiv | 2024 | Link |
| Quantum Privacy Aggregation of Teacher Ensembles (QPATE) for Privacy-preserving Quantum Machine Learning | arXiv | 2024 | Link |
| Quantum delegated and federated learning via quantum homomorphic encryption | arXiv | 2024 | Link |
| Quantum-safe Edge Applications: How to Secure Computation in Distributed Computing Systems | arXiv | 2024 | Link |
| Query Based Construction of Chronic Disease Datasets | arXiv | 2024 | Link |
| Query-Efficient Adversarial Attack Against Vertical Federated Graph Learning | arXiv | 2024 | Link |
| Queuing dynamics of asynchronous Federated Learning | arXiv | 2024 | Link |
| R-SFLLM: Jamming Resilient Framework for Split Federated Learning with Large Language Models | arXiv | 2024 | Link |
| RAB$^2$-DEF: Dynamic and explainable defense against adversarial attacks in Federated Learning to fair poor clients | arXiv | 2024 | Link |
| RBLA: Rank-Based-LoRA-Aggregation for Fine-tuning Heterogeneous Models in FLaaS | arXiv | 2024 | Link |
| REFOL: Resource-Efficient Federated Online Learning for Traffic Flow Forecasting | arXiv | 2024 | Link |
| RFID based Health Adherence Medicine Case Using Fair Federated Learning | arXiv | 2024 | Link |
| RIS-empowered Topology Control for Distributed Learning in Urban Air Mobility | arXiv | 2024 | Link |
| RSBuilding: Towards General Remote Sensing Image Building Extraction and Change Detection with Foundation Model | arXiv | 2024 | Link |
| Random Aggregate Beamforming for Over-the-Air Federated Learning in Large-Scale Networks | arXiv | 2024 | Link |
| Random Gradient Masking as a Defensive Measure to Deep Leakage in Federated Learning | arXiv | 2024 | Link |
| Randomized Asymmetric Chain of LoRA: The First Meaningful Theoretical Framework for Low-Rank Adaptation | arXiv | 2024 | Link |
| Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning | arXiv | 2024 | Link |
| Ranking-based Client Selection with Imitation Learning for Efficient Federated Learning | arXiv | 2024 | Link |
| Rastro-DM: data mining with a trail | arXiv | 2024 | Link |
| Rate-Constrained Quantization for Communication-Efficient Federated Learning | arXiv | 2024 | Link |
| Rate-Splitting Multiple Access for Overloaded Multi-group Multicast: A First Experimental Study | arXiv | 2024 | Link |
| ReSLLM: Large Language Models are Strong Resource Selectors for Federated Search | arXiv | 2024 | Link |
| Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget | arXiv | 2024 | Link |
| Real Risks of Fake Data: Synthetic Data, Diversity-Washing and Consent Circumvention | arXiv | 2024 | Link |
| Real World Federated Learning with a Knowledge Distilled Transformer for Cardiac CT Imaging | arXiv | 2024 | Link |
| Real-World Federated Learning in Radiology: Hurdles to overcome and Benefits to gain | arXiv | 2024 | Link |
| Recent Advances in Federated Learning Driven Large Language Models: A Survey on Architecture, Performance, and Security | arXiv | 2024 | Link |
| Recommendations for Government Development and Use of Advanced Automated Systems to Make Decisions about Individuals | arXiv | 2024 | Link |
| Recommender Engine Driven Client Selection in Federated Brain Tumor Segmentation | arXiv | 2024 | Link |
| Recovering Global Data Distribution Locally in Federated Learning | arXiv | 2024 | Link |
| Recurrent Early Exits for Federated Learning with Heterogeneous Clients | arXiv | 2024 | Link |
| Redefining Contributions: Shapley-Driven Federated Learning | arXiv | 2024 | Link |
| Reducing Spurious Correlation for Federated Domain Generalization | arXiv | 2024 | Link |
| Refined Analysis of Federated Averaging and Federated Richardson-Romberg | arXiv | 2024 | Link |
| Reflection of Federal Data Protection Standards on Cloud Governance | arXiv | 2024 | Link |
| Reflections on the denialism of the Earth's curvature based on the general public participation in the collective reproduction of Eratosthenes' experiment | arXiv | 2024 | Link |
| Regional Air Mobility Flight Demand Modeling in Tennessee State | arXiv | 2024 | Link |
| Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence | arXiv | 2024 | Link |
| Rehearsal-free Federated Domain-incremental Learning | arXiv | 2024 | Link |
| Relational Graph in Vector Autoregression: A Case Study on the Effect of the Great Recession on Connectivity of Economic Indicators | arXiv | 2024 | Link |
| Relaxed Contrastive Learning for Federated Learning | arXiv | 2024 | Link |
| Releasing Large-Scale Human Mobility Histograms with Differential Privacy | arXiv | 2024 | Link |
| Rendering Wireless Environments Useful for Gradient Estimators: A Zero-Order Stochastic Federated Learning Method | arXiv | 2024 | Link |
| Reputation-Driven Asynchronous Federated Learning for Enhanced Trajectory Prediction with Blockchain | arXiv | 2024 | Link |
| Rescale-Invariant Federated Reinforcement Learning for Resource Allocation in V2X Networks | arXiv | 2024 | Link |
| Research on Data Right Confirmation Mechanism of Federated Learning based on Blockchain | arXiv | 2024 | Link |
| Research on Key Technologies for Cross-Cloud Federated Training of Large Language Models | arXiv | 2024 | Link |
| Research on financial fraud algorithm based on federal learning and big data technology | arXiv | 2024 | Link |
| Resilient Two-Time-Scale Local Stochastic Gradient Descent for Byzantine Federated Learning | arXiv | 2024 | Link |
| Resource Allocation of Industry 4.0 Micro-Service Applications across Serverless Fog Federation | arXiv | 2024 | Link |
| Resource Efficient Asynchronous Federated Learning for Digital Twin Empowered IoT Network | arXiv | 2024 | Link |
| Resource-Aware Hierarchical Federated Learning in Wireless Video Caching Networks | arXiv | 2024 | Link |
| Resource-Efficient Federated Multimodal Learning via Layer-wise and Progressive Training | arXiv | 2024 | Link |
| Resource-efficient Layer-wise Federated Self-supervised Learning | arXiv | 2024 | Link |
| Responsible Federated Learning in Smart Transportation: Outlooks and Challenges | arXiv | 2024 | Link |
| Rethinking Clustered Federated Learning in NOMA Enhanced Wireless Networks | arXiv | 2024 | Link |
| Rethinking Personalized Federated Learning with Clustering-based Dynamic Graph Propagation | arXiv | 2024 | Link |
| Rethinking Resource Management in Edge Learning: A Joint Pre-training and Fine-tuning Design Paradigm | arXiv | 2024 | Link |
| Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data | arXiv | 2024 | Link |
| Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks | arXiv | 2024 | Link |
| Rethinking the initialization of Momentum in Federated Learning with Heterogeneous Data | arXiv | 2024 | Link |
| Review of Mathematical Optimization in Federated Learning | arXiv | 2024 | Link |
| Revisiting Early-Learning Regularization When Federated Learning Meets Noisy Labels | arXiv | 2024 | Link |
| Revisiting Ensembling in One-Shot Federated Learning | arXiv | 2024 | Link |
| Revisiting Federated Fine-Tuning: A Single Communication Round is Enough for Foundation Models | arXiv | 2024 | Link |
| Riemannian Federated Learning via Averaging Gradient Streams | arXiv | 2024 | Link |
| Risk-Aware Accelerated Wireless Federated Learning with Heterogeneous Clients | arXiv | 2024 | Link |
| RobWE: Robust Watermark Embedding for Personalized Federated Learning Model Ownership Protection | arXiv | 2024 | Link |
| Robust Decentralized Learning with Local Updates and Gradient Tracking | arXiv | 2024 | Link |
| Robust Federated Finetuning of Foundation Models via Alternating Minimization of LoRA | arXiv | 2024 | Link |
| Robust Federated Learning Over the Air: Combating Heavy-Tailed Noise with Median Anchored Clipping | arXiv | 2024 | Link |
| Robust Federated Learning for Wireless Networks: A Demonstration with Channel Estimation | arXiv | 2024 | Link |
| Robust Model Aggregation for Heterogeneous Federated Learning: Analysis and Optimizations | arXiv | 2024 | Link |
| Robust Training of Federated Models with Extremely Label Deficiency | arXiv | 2024 | Link |
| Robust Zero Trust Architecture: Joint Blockchain based Federated learning and Anomaly Detection based Framework | arXiv | 2024 | Link |
| Rozproszone Wykrywanie Zajętości Widma Oparte na Uczeniu Federacyjnym | arXiv | 2024 | Link |
| SAB:A Stealing and Robust Backdoor Attack based on Steganographic Algorithm against Federated Learning | arXiv | 2024 | Link |
| SCAFFLSA: Taming Heterogeneity in Federated Linear Stochastic Approximation and TD Learning | arXiv | 2024 | Link |
| SCALA: Split Federated Learning with Concatenated Activations and Logit Adjustments | arXiv | 2024 | Link |
| SCALE: Self-regulated Clustered federAted LEarning in a Homogeneous Environment | arXiv | 2024 | Link |
| SDBA: A Stealthy and Long-Lasting Durable Backdoor Attack in Federated Learning | arXiv | 2024 | Link |
| SFPrompt: Communication-Efficient Split Federated Fine-Tuning for Large Pre-Trained Models over Resource-Limited Devices | arXiv | 2024 | Link |
| SFedCA: Credit Assignment-Based Active Client Selection Strategy for Spiking Federated Learning | arXiv | 2024 | Link |
| SHFL: Secure Hierarchical Federated Learning Framework for Edge Networks | arXiv | 2024 | Link |
| SPAM: Stochastic Proximal Point Method with Momentum Variance Reduction for Non-convex Cross-Device Federated Learning | arXiv | 2024 | Link |
| SPD-CFL: Stepwise Parameter Dropout for Efficient Continual Federated Learning | arXiv | 2024 | Link |
| SPriFed-OMP: A Differentially Private Federated Learning Algorithm for Sparse Basis Recovery | arXiv | 2024 | Link |
| SSFL: Discovering Sparse Unified Subnetworks at Initialization for Efficient Federated Learning | arXiv | 2024 | Link |
| Sample-Independent Federated Learning Backdoor Attack in Speaker Recognition | arXiv | 2024 | Link |
| SatFed: A Resource-Efficient LEO Satellite-Assisted Heterogeneous Federated Learning Framework | arXiv | 2024 | Link |
| Satellite Federated Edge Learning: Architecture Design and Convergence Analysis | arXiv | 2024 | Link |
| Save It All: Enabling Full Parameter Tuning for Federated Large Language Models via Cycle Block Gradient Descent | arXiv | 2024 | Link |
| Scalable Vertical Federated Learning via Data Augmentation and Amortized Inference | arXiv | 2024 | Link |
| Scalable and Reliable Over-the-Air Federated Edge Learning | arXiv | 2024 | Link |
| Scalable and Resource-Efficient Second-Order Federated Learning via Over-the-Air Aggregation | arXiv | 2024 | Link |
| Scheduling for On-Board Federated Learning with Satellite Clusters | arXiv | 2024 | Link |
| Scholarly Question Answering using Large Language Models in the NFDI4DataScience Gateway | arXiv | 2024 | Link |
| Seamless Integration: Sampling Strategies in Federated Learning Systems | arXiv | 2024 | Link |
| Secure Federated Learning Across Heterogeneous Cloud and High-Performance Computing Resources -- A Case Study on Federated Fine-tuning of LLaMA 2 | arXiv | 2024 | Link |
| Secure Federated Learning Approaches to Diagnosing COVID-19 | arXiv | 2024 | Link |
| Secure Hierarchical Federated Learning in Vehicular Networks Using Dynamic Client Selection and Anomaly Detection | arXiv | 2024 | Link |
| Secure Inference for Vertically Partitioned Data Using Multiparty Homomorphic Encryption | arXiv | 2024 | Link |
| Secure Stateful Aggregation: A Practical Protocol with Applications in Differentially-Private Federated Learning | arXiv | 2024 | Link |
| Securing Federated Learning against Backdoor Threats with Foundation Model Integration | arXiv | 2024 | Link |
| Securing Federated Learning in Robot Swarms using Blockchain Technology | arXiv | 2024 | Link |
| Securing Health Data on the Blockchain: A Differential Privacy and Federated Learning Framework | arXiv | 2024 | Link |
| Security Assessment of Hierarchical Federated Deep Learning | arXiv | 2024 | Link |
| Security and Privacy Issues and Solutions in Federated Learning for Digital Healthcare | arXiv | 2024 | Link |
| Security and Privacy of 6G Federated Learning-enabled Dynamic Spectrum Sharing | arXiv | 2024 | Link |
| Selective Aggregation for Low-Rank Adaptation in Federated Learning | arXiv | 2024 | Link |
| Selective Knowledge Sharing for Personalized Federated Learning Under Capacity Heterogeneity | arXiv | 2024 | Link |
| Semi-Variance Reduction for Fair Federated Learning | arXiv | 2024 | Link |
| SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning | arXiv | 2024 | Link |
| Sequential Compression Layers for Efficient Federated Learning in Foundational Models | arXiv | 2024 | Link |
| Sequential Federated Analysis of Early Outbreak Data Applied to Incubation Period Estimation | arXiv | 2024 | Link |
| Sequential Federated Learning in Hierarchical Architecture on Non-IID Datasets | arXiv | 2024 | Link |
| Shaping the Future of Social Media with Middleware | arXiv | 2024 | Link |
| Share Secrets for Privacy: Confidential Forecasting with Vertical Federated Learning | arXiv | 2024 | Link |
| Sharp Bounds for Sequential Federated Learning on Heterogeneous Data | arXiv | 2024 | Link |
| Sheaf HyperNetworks for Personalized Federated Learning | arXiv | 2024 | Link |
| SignSGD with Federated Defense: Harnessing Adversarial Attacks through Gradient Sign Decoding | arXiv | 2024 | Link |
| SignSGD with Federated Voting | arXiv | 2024 | Link |
| Simulating Liquidity: Agent-Based Modeling of Illiquid Markets for Fractional Ownership | arXiv | 2024 | Link |
| Single-Loop Federated Actor-Critic across Heterogeneous Environments | arXiv | 2024 | Link |
| Sketched Adaptive Federated Deep Learning: A Sharp Convergence Analysis | arXiv | 2024 | Link |
| Small separators, upper bounds for $l^\infty$-widths, and systolic geometry | arXiv | 2024 | Link |
| Smart Information Exchange for Unsupervised Federated Learning via Reinforcement Learning | arXiv | 2024 | Link |
| Smart Sampling: Helping from Friendly Neighbors for Decentralized Federated Learning | arXiv | 2024 | Link |
| SmartSantander: IoT Experimentation over a Smart City Testbed | arXiv | 2024 | Link |
| Snake Learning: A Communication- and Computation-Efficient Distributed Learning Framework for 6G | arXiv | 2024 | Link |
| SoK: Verifiable Cross-Silo FL | arXiv | 2024 | Link |
| SocFedGPT: Federated GPT-based Adaptive Content Filtering System Leveraging User Interactions in Social Networks | arXiv | 2024 | Link |
| Social Welfare Maximization for Federated Learning with Network Effects | arXiv | 2024 | Link |
| Some Targets Are Harder to Identify than Others: Quantifying the Target-dependent Membership Leakage | arXiv | 2024 | Link |
| SpaFL: Communication-Efficient Federated Learning with Sparse Models and Low computational Overhead | arXiv | 2024 | Link |
| Space for Improvement: Navigating the Design Space for Federated Learning in Satellite Constellations | arXiv | 2024 | Link |
| SpamDam: Towards Privacy-Preserving and Adversary-Resistant SMS Spam Detection | arXiv | 2024 | Link |
| Sparse Incremental Aggregation in Multi-Hop Federated Learning | arXiv | 2024 | Link |
| Sparse Uncertainty-Informed Sampling from Federated Streaming Data | arXiv | 2024 | Link |
| Sparse-ProxSkip: Accelerated Sparse-to-Sparse Training in Federated Learning | arXiv | 2024 | Link |
| SpeakGer: A meta-data enriched speech corpus of German state and federal parliaments | arXiv | 2024 | Link |
| Spectral Co-Distillation for Personalized Federated Learning | arXiv | 2024 | Link |
| Spectral gaps and Fourier decay for self-conformal measures in the plane | arXiv | 2024 | Link |
| Spectrum Occupancy Detection Supported by Federated Learning | arXiv | 2024 | Link |
| Spikewhisper: Temporal Spike Backdoor Attacks on Federated Neuromorphic Learning over Low-power Devices | arXiv | 2024 | Link |
| Spiking Neural Networks in Vertical Federated Learning: Performance Trade-offs | arXiv | 2024 | Link |
| Split Federated Learning Empowered Vehicular Edge Intelligence: Concept, Adaptive Design and Future Directions | arXiv | 2024 | Link |
| Split Federated Learning Over Heterogeneous Edge Devices: Algorithm and Optimization | arXiv | 2024 | Link |
| SplitFedZip: Learned Compression for Data Transfer Reduction in Split-Federated Learning | arXiv | 2024 | Link |
| SplitLoRA: A Split Parameter-Efficient Fine-Tuning Framework for Large Language Models | arXiv | 2024 | Link |
| SpreadFGL: Edge-Client Collaborative Federated Graph Learning with Adaptive Neighbor Generation | arXiv | 2024 | Link |
| Stabilized Proximal-Point Methods for Federated Optimization | arXiv | 2024 | Link |
| Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data | arXiv | 2024 | Link |
| Stalactite: Toolbox for Fast Prototyping of Vertical Federated Learning Systems | arXiv | 2024 | Link |
| Starlit: Privacy-Preserving Federated Learning to Enhance Financial Fraud Detection | arXiv | 2024 | Link |
| StatAvg: Mitigating Data Heterogeneity in Federated Learning for Intrusion Detection Systems | arXiv | 2024 | Link |
| Stitching Satellites to the Edge: Pervasive and Efficient Federated LEO Satellite Learning | arXiv | 2024 | Link |
| Stochastic Communication Avoidance for Recommendation Systems | arXiv | 2024 | Link |
| Stochastic Dynamic Network Utility Maximization with Application to Disaster Response | arXiv | 2024 | Link |
| Stochastic Service Network Design with Different Operational Patterns for Hyperconnected Relay Transportation | arXiv | 2024 | Link |
| Stragglers-Aware Low-Latency Synchronous Federated Learning via Layer-Wise Model Updates | arXiv | 2024 | Link |
| Strategic Client Selection to Address Non-IIDness in HAPS-enabled FL Networks | arXiv | 2024 | Link |
| Strategic Control of Facial Expressions by the Fed Chair | arXiv | 2024 | Link |
| Strategic Federated Learning: Application to Smart Meter Data Clustering | arXiv | 2024 | Link |
| Streamlined Federated Unlearning: Unite as One to Be Highly Efficient | arXiv | 2024 | Link |
| Structured Reinforcement Learning for Incentivized Stochastic Covert Optimization | arXiv | 2024 | Link |
| Submodular Maximization Approaches for Equitable Client Selection in Federated Learning | arXiv | 2024 | Link |
| Subword Embedding from Bytes Gains Privacy without Sacrificing Accuracy and Complexity | arXiv | 2024 | Link |
| Summary of Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images | arXiv | 2024 | Link |
| Supercharging Federated Learning with Flower and NVIDIA FLARE | arXiv | 2024 | Link |
| Supersonic OT: Fast Unconditionally Secure Oblivious Transfer | arXiv | 2024 | Link |
| Supplementary File: Coded Cooperative Networks for Semi-Decentralized Federated Learning | arXiv | 2024 | Link |
| Supplementary File: Cooperative Gradient Coding for Semi-Decentralized Federated Learning | arXiv | 2024 | Link |
| Supply Chain Insecurity: The Lack of Integrity Protection in SBOM Solutions | arXiv | 2024 | Link |
| Support Vector Based Anomaly Detection in Federated Learning | arXiv | 2024 | Link |
| Survey Data Integration for Distribution Function Estimation | arXiv | 2024 | Link |
| Survey of Privacy Threats and Countermeasures in Federated Learning | arXiv | 2024 | Link |
| SusFL: Energy-Aware Federated Learning-based Monitoring for Sustainable Smart Farms | arXiv | 2024 | Link |
| Swarm Intelligence-Driven Client Selection for Federated Learning in Cybersecurity applications | arXiv | 2024 | Link |
| Swarm Learning: A Survey of Concepts, Applications, and Trends | arXiv | 2024 | Link |
| SynRL: Aligning Synthetic Clinical Trial Data with Human-preferred Clinical Endpoints Using Reinforcement Learning | arXiv | 2024 | Link |
| Synergizing Foundation Models and Federated Learning: A Survey | arXiv | 2024 | Link |
| Synthetic Data Aided Federated Learning Using Foundation Models | arXiv | 2024 | Link |
| TDML -- A Trustworthy Distributed Machine Learning Framework | arXiv | 2024 | Link |
| TIFeD: a Tiny Integer-based Federated learning algorithm with Direct feedback alignment | arXiv | 2024 | Link |
| TPFL: A Trustworthy Personalized Federated Learning Framework via Subjective Logic | arXiv | 2024 | Link |
| TPFL: Tsetlin-Personalized Federated Learning with Confidence-Based Clustering | arXiv | 2024 | Link |
| TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learning | arXiv | 2024 | Link |
| TablePuppet: A Generic Framework for Relational Federated Learning | arXiv | 2024 | Link |
| Tackling Data Heterogeneity in Federated Learning via Loss Decomposition | arXiv | 2024 | Link |
| Tackling Data Heterogeneity in Federated Time Series Forecasting | arXiv | 2024 | Link |
| Tackling Feature-Classifier Mismatch in Federated Learning via Prompt-Driven Feature Transformation | arXiv | 2024 | Link |
| Tackling Selfish Clients in Federated Learning | arXiv | 2024 | Link |
| Tailored Federated Learning: Leveraging Direction Regulation & Knowledge Distillation | arXiv | 2024 | Link |
| Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains | arXiv | 2024 | Link |
| Task Arithmetic Through The Lens Of One-Shot Federated Learning | arXiv | 2024 | Link |
| Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and Regression | arXiv | 2024 | Link |
| Task-Agnostic Federated Learning | arXiv | 2024 | Link |
| Task-agnostic Decision Transformer for Multi-type Agent Control with Federated Split Training | arXiv | 2024 | Link |
| Technical Report: Coopetition in Heterogeneous Cross-Silo Federated Learning | arXiv | 2024 | Link |
| Technical Report: On the Convergence of Gossip Learning in the Presence of Node Inaccessibility | arXiv | 2024 | Link |
| Techno-Economic Assessment of Net-Zero Energy Buildings: Financial Projections and Incentives for Achieving Energy Decarbonization Goals | arXiv | 2024 | Link |
| Technological Perspective on Digital Sovereignty | arXiv | 2024 | Link |
| TempCharBERT: Keystroke Dynamics for Continuous Access Control Based on Pre-trained Language Models | arXiv | 2024 | Link |
| Tempora-Fusion: Time-Lock Puzzle with Efficient Verifiable Homomorphic Linear Combination | arXiv | 2024 | Link |
| Testing the Fairness-Accuracy Improvability of Algorithms | arXiv | 2024 | Link |
| Text-Enhanced Data-free Approach for Federated Class-Incremental Learning | arXiv | 2024 | Link |
| The 2020 United States Decennial Census Is More Private Than You (Might) Think | arXiv | 2024 | Link |
| The Benefits from Bundling Demand in K-12 Broadband Procurement | arXiv | 2024 | Link |
| The Diversity Bonus: Learning from Dissimilar Distributed Clients in Personalized Federated Learning | arXiv | 2024 | Link |
| The EU-US Data Privacy Framework: Is the Dragon Eating its Own Tail? | arXiv | 2024 | Link |
| The Effects of Group Sanctions on Participation and Toxicity: Quasi-experimental Evidence from the Fediverse | arXiv | 2024 | Link |
| The Federation Strikes Back: A Survey of Federated Learning Privacy Attacks, Defenses, Applications, and Policy Landscape | arXiv | 2024 | Link |
| The Future of Large Language Model Pre-training is Federated | arXiv | 2024 | Link |
| The Future of QKD Networks | arXiv | 2024 | Link |
| The GA4GH Task Execution API: Enabling Easy Multi Cloud Task Execution | arXiv | 2024 | Link |
| The Hidden Subsidy of the Affordable Care Act | arXiv | 2024 | Link |
| The Impact of Cut Layer Selection in Split Federated Learning | arXiv | 2024 | Link |
| The Key of Parameter Skew in Federated Learning | arXiv | 2024 | Link |
| The Matrix Reloaded: A Mechanized Formal Analysis of the Matrix Cryptographic Suite | arXiv | 2024 | Link |
| The Power of Bias: Optimizing Client Selection in Federated Learning with Heterogeneous Differential Privacy | arXiv | 2024 | Link |
| The Power of Extrapolation in Federated Learning | arXiv | 2024 | Link |
| The Risk of Federated Learning to Skew Fine-Tuning Features and Underperform Out-of-Distribution Robustness | arXiv | 2024 | Link |
| The Road to Compliance: Executive Federal Agencies and the NIST Risk Management Framework | arXiv | 2024 | Link |
| The Robustness of Spiking Neural Networks in Communication and its Application towards Network Efficiency in Federated Learning | arXiv | 2024 | Link |
| The Role of LLMs in Sustainable Smart Cities: Applications, Challenges, and Future Directions | arXiv | 2024 | Link |
| The Russian Legislative Corpus | arXiv | 2024 | Link |
| The Sample-Communication Complexity Trade-off in Federated Q-Learning | arXiv | 2024 | Link |
| The Sandwich meta-framework for architecture agnostic deep privacy-preserving transfer learning for non-invasive brainwave decoding | arXiv | 2024 | Link |
| The Space above the Sky: Uniting Global-Scale Ground Station as a Service for Efficient Orbital Data Processing | arXiv | 2024 | Link |
| The indoor agriculture industry: a promising player in demand response services | arXiv | 2024 | Link |
| The outcomes of generative AI are exactly the Nash equilibria of a non-potential game | arXiv | 2024 | Link |
| Thinking Forward: Memory-Efficient Federated Finetuning of Language Models | arXiv | 2024 | Link |
| Threats and Defenses in Federated Learning Life Cycle: A Comprehensive Survey and Challenges | arXiv | 2024 | Link |
| Tighter Performance Theory of FedExProx | arXiv | 2024 | Link |
| Time-Distributed Backdoor Attacks on Federated Spiking Learning | arXiv | 2024 | Link |
| Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting | arXiv | 2024 | Link |
| Time-constrained Federated Learning (FL) in Push-Pull IoT Wireless Access | arXiv | 2024 | Link |
| TinyML NLP Scheme for Semantic Wireless Sentiment Classification with Privacy Preservation | arXiv | 2024 | Link |
| Towards AI-Powered Video Assistant Referee System (VARS) for Association Football | arXiv | 2024 | Link |
| Towards Active Participant Centric Vertical Federated Learning: Some Representations May Be All You Need | arXiv | 2024 | Link |
| Towards Adaptive Asynchronous Federated Learning for Human Activity Recognition | arXiv | 2024 | Link |
| Towards Case-based Interpretability for Medical Federated Learning | arXiv | 2024 | Link |
| Towards Client Driven Federated Learning | arXiv | 2024 | Link |
| Towards Communication-efficient Federated Learning via Sparse and Aligned Adaptive Optimization | arXiv | 2024 | Link |
| Towards Cyber Threat Intelligence for the IoT | arXiv | 2024 | Link |
| Towards Dynamic Resource Allocation and Client Scheduling in Hierarchical Federated Learning: A Two-Phase Deep Reinforcement Learning Approach | arXiv | 2024 | Link |
| Towards Efficient Replay in Federated Incremental Learning | arXiv | 2024 | Link |
| Towards Efficient and Certified Recovery from Poisoning Attacks in Federated Learning | arXiv | 2024 | Link |
| Towards Energy-Aware Federated Learning via MARL: A Dual-Selection Approach for Model and Client | arXiv | 2024 | Link |
| Towards Engineering Fair and Equitable Software Systems for Managing Low-Altitude Airspace Authorizations | arXiv | 2024 | Link |
| Towards Fair, Robust and Efficient Client Contribution Evaluation in Federated Learning | arXiv | 2024 | Link |
| Towards Fairness in Provably Communication-Efficient Federated Recommender Systems | arXiv | 2024 | Link |
| Towards Fast Rates for Federated and Multi-Task Reinforcement Learning | arXiv | 2024 | Link |
| Towards Faster Decentralized Stochastic Optimization with Communication Compression | arXiv | 2024 | Link |
| Towards Federated Domain Unlearning: Verification Methodologies and Challenges | arXiv | 2024 | Link |
| Towards Federated Learning on the Quantum Internet | arXiv | 2024 | Link |
| Towards Federated Learning with On-device Training and Communication in 8-bit Floating Point | arXiv | 2024 | Link |
| Towards Federated Low-Rank Adaptation of Language Models with Rank Heterogeneity | arXiv | 2024 | Link |
| Towards Federated RLHF with Aggregated Client Preference for LLMs | arXiv | 2024 | Link |
| Towards Formal Verification of Federated Learning Orchestration Protocols on Satellites | arXiv | 2024 | Link |
| Towards Layer-Wise Personalized Federated Learning: Adaptive Layer Disentanglement via Conflicting Gradients | arXiv | 2024 | Link |
| Towards Multi-modal Transformers in Federated Learning | arXiv | 2024 | Link |
| Towards Optimal Customized Architecture for Heterogeneous Federated Learning with Contrastive Cloud-Edge Model Decoupling | arXiv | 2024 | Link |
| Towards Personalized Federated Learning via Comprehensive Knowledge Distillation | arXiv | 2024 | Link |
| Towards Personalized Federated Multi-Scenario Multi-Task Recommendation | arXiv | 2024 | Link |
| Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation | arXiv | 2024 | Link |
| Towards Practical Overlay Networks for Decentralized Federated Learning | arXiv | 2024 | Link |
| Towards Privacy-Aware and Personalised Assistive Robots: A User-Centred Approach | arXiv | 2024 | Link |
| Towards Privacy-Guaranteed Label Unlearning in Vertical Federated Learning: Few-Shot Forgetting without Disclosure | arXiv | 2024 | Link |
| Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture | arXiv | 2024 | Link |
| Towards Quantum-Safe Federated Learning via Homomorphic Encryption: Learning with Gradients | arXiv | 2024 | Link |
| Towards Query Optimizer as a Service (QOaaS) in a Unified LakeHouse Ecosystem: Can One QO Rule Them All? | arXiv | 2024 | Link |
| Towards Resource-Efficient Federated Learning in Industrial IoT for Multivariate Time Series Analysis | arXiv | 2024 | Link |
| Towards Robust Federated Analytics via Differentially Private Measurements of Statistical Heterogeneity | arXiv | 2024 | Link |
| Towards Robust Federated Image Classification: An Empirical Study of Weight Selection Strategies in Manufacturing | arXiv | 2024 | Link |
| Towards Robust Federated Learning via Logits Calibration on Non-IID Data | arXiv | 2024 | Link |
| Towards Robust and Efficient Federated Low-Rank Adaptation with Heterogeneous Clients | arXiv | 2024 | Link |
| Towards Satellite Non-IID Imagery: A Spectral Clustering-Assisted Federated Learning Approach | arXiv | 2024 | Link |
| Towards efficient compression and communication for prototype-based decentralized learning | arXiv | 2024 | Link |
| Towards the efficacy of federated prediction for epidemics on networks | arXiv | 2024 | Link |
| Tracing Back the Malicious Clients in Poisoning Attacks to Federated Learning | arXiv | 2024 | Link |
| Traffic Cameras to detect inland waterway barge traffic: An Application of machine learning | arXiv | 2024 | Link |
| Training Diffusion Models with Federated Learning | arXiv | 2024 | Link |
| Training Heterogeneous Client Models using Knowledge Distillation in Serverless Federated Learning | arXiv | 2024 | Link |
| Training Machine Learning models at the Edge: A Survey | arXiv | 2024 | Link |
| TransFR: Transferable Federated Recommendation with Adapter Tuning on Pre-trained Language Models | arXiv | 2024 | Link |
| Transformer-based Federated Learning for Multi-Label Remote Sensing Image Classification | arXiv | 2024 | Link |
| Transformers with Attentive Federated Aggregation for Time Series Stock Forecasting | arXiv | 2024 | Link |
| Transportation and Systems Analysis Collaborations in Support of a Federal Consolidated Interim Storage Facility | arXiv | 2024 | Link |
| TreeCSS: An Efficient Framework for Vertical Federated Learning | arXiv | 2024 | Link |
| TriplePlay: Enhancing Federated Learning with CLIP for Non-IID Data and Resource Efficiency | arXiv | 2024 | Link |
| Trust Driven On-Demand Scheme for Client Deployment in Federated Learning | arXiv | 2024 | Link |
| Trust and Resilience in Federated Learning Through Smart Contracts Enabled Decentralized Systems | arXiv | 2024 | Link |
| Trust-free Personalized Decentralized Learning | arXiv | 2024 | Link |
| Trustworthy Federated Learning: Privacy, Security, and Beyond | arXiv | 2024 | Link |
| Trustworthy Personalized Bayesian Federated Learning via Posterior Fine-Tune | arXiv | 2024 | Link |
| Twin Sorting Dynamic Programming Assisted User Association and Wireless Bandwidth Allocation for Hierarchical Federated Learning | arXiv | 2024 | Link |
| UAV-Enabled Asynchronous Federated Learning | arXiv | 2024 | Link |
| UAV-assisted Unbiased Hierarchical Federated Learning: Performance and Convergence Analysis | arXiv | 2024 | Link |
| URVFL: Undetectable Data Reconstruction Attack on Vertical Federated Learning | arXiv | 2024 | Link |
| Uncertainty-Based Extensible Codebook for Discrete Federated Learning in Heterogeneous Data Silos | arXiv | 2024 | Link |
| Uncovering Attacks and Defenses in Secure Aggregation for Federated Deep Learning | arXiv | 2024 | Link |
| Understanding Byzantine Robustness in Federated Learning with A Black-box Server | arXiv | 2024 | Link |
| Understanding Data Reconstruction Leakage in Federated Learning from a Theoretical Perspective | arXiv | 2024 | Link |
| Understanding Generalization of Federated Learning: the Trade-off between Model Stability and Optimization | arXiv | 2024 | Link |
| Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation | arXiv | 2024 | Link |
| Understanding the Statistical Accuracy-Communication Trade-off in Personalized Federated Learning with Minimax Guarantees | arXiv | 2024 | Link |
| Understanding the Structure and Resilience of the Brazilian Federal Road Network Through Network Science | arXiv | 2024 | Link |
| UniFaaS: Programming across Distributed Cyberinfrastructure with Federated Function Serving | arXiv | 2024 | Link |
| UniFed: A Universal Federation of a Mixture of Highly Heterogeneous Medical Image Classification Tasks | arXiv | 2024 | Link |
| Unified theoretical guarantees for stability, consistency, and convergence in neural PDE solvers from non-IID data to physics-informed networks | arXiv | 2024 | Link |
| Universal Medical Imaging Model for Domain Generalization with Data Privacy | arXiv | 2024 | Link |
| Unlocking FedNL: Self-Contained Compute-Optimized Implementation | arXiv | 2024 | Link |
| Unlocking Legal Knowledge: A Multilingual Dataset for Judicial Summarization in Switzerland | arXiv | 2024 | Link |
| Unlocking the Potential of Model Calibration in Federated Learning | arXiv | 2024 | Link |
| Unsupervised Federated Domain Adaptation for Segmentation of MRI Images | arXiv | 2024 | Link |
| Unsupervised Federated Optimization at the Edge: D2D-Enabled Learning without Labels | arXiv | 2024 | Link |
| Unsupervised Speaker Diarization in Distributed IoT Networks Using Federated Learning | arXiv | 2024 | Link |
| Unveiling Group-Specific Distributed Concept Drift: A Fairness Imperative in Federated Learning | arXiv | 2024 | Link |
| Unveiling the Impact of Macroeconomic Policies: A Double Machine Learning Approach to Analyzing Interest Rate Effects on Financial Markets | arXiv | 2024 | Link |
| Uplink Over-the-Air Aggregation for Multi-Model Wireless Federated Learning | arXiv | 2024 | Link |
| Using CPI in Loss Given Default Forecasting Models for Commercial Real Estate Portfolio | arXiv | 2024 | Link |
| Using Diffusion Models as Generative Replay in Continual Federated Learning -- What will Happen? | arXiv | 2024 | Link |
| VFLGAN-TS: Vertical Federated Learning-based Generative Adversarial Networks for Publication of Vertically Partitioned Time-Series Data | arXiv | 2024 | Link |
| VFLIP: A Backdoor Defense for Vertical Federated Learning via Identification and Purification | arXiv | 2024 | Link |
| Vaccinating Federated Learning for Robust Modulation Classification in Distributed Wireless Networks | arXiv | 2024 | Link |
| Vanishing Variance Problem in Fully Decentralized Neural-Network Systems | arXiv | 2024 | Link |
| Variational Bayes for Federated Continual Learning | arXiv | 2024 | Link |
| Vehicle Selection for C-V2X Mode 4 Based Federated Edge Learning Systems | arXiv | 2024 | Link |
| Vela: A Data-Driven Proposal for Joint Collaboration in Space Exploration | arXiv | 2024 | Link |
| Venomancer: Towards Imperceptible and Target-on-Demand Backdoor Attacks in Federated Learning | arXiv | 2024 | Link |
| Verifying The Radiosonde Humidity Sensor Performance | arXiv | 2024 | Link |
| Version age-based client scheduling policy for federated learning | arXiv | 2024 | Link |
| VertiMRF: Differentially Private Vertical Federated Data Synthesis | arXiv | 2024 | Link |
| Vertical Federated Image Segmentation | arXiv | 2024 | Link |
| Vertical Federated Learning Hybrid Local Pre-training | arXiv | 2024 | Link |
| Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey | arXiv | 2024 | Link |
| Vertical Federated Learning with Missing Features During Training and Inference | arXiv | 2024 | Link |
| Vertical Federated Unlearning via Backdoor Certification | arXiv | 2024 | Link |
| Viewport Prediction, Bitrate Selection, and Beamforming Design for THz-Enabled 360° Video Streaming | arXiv | 2024 | Link |
| Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning | arXiv | 2024 | Link |
| Visualizing Progress in Broadening Participation in Computing: The Value of Context | arXiv | 2024 | Link |
| Visualizing the Shadows: Unveiling Data Poisoning Behaviors in Federated Learning | arXiv | 2024 | Link |
| Voltran: Unlocking Trust and Confidentiality in Decentralized Federated Learning Aggregation | arXiv | 2024 | Link |
| WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling | arXiv | 2024 | Link |
| Wait or Not to Wait: Evaluating Trade-Offs between Speed and Precision in Blockchain-based Federated Aggregation | arXiv | 2024 | Link |
| WassFFed: Wasserstein Fair Federated Learning | arXiv | 2024 | Link |
| Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models | arXiv | 2024 | Link |
| Water and Electricity Consumption Forecasting at an Educational Institution using Machine Learning models with Metaheuristic Optimization | arXiv | 2024 | Link |
| Weight Scope Alignment: A Frustratingly Easy Method for Model Merging | arXiv | 2024 | Link |
| When Cars meet Drones: Hyperbolic Federated Learning for Source-Free Domain Adaptation in Adverse Weather | arXiv | 2024 | Link |
| When Fine-Tuning LLMs Meets Data Privacy: An Empirical Study of Federated Learning in LLM-Based Program Repair | arXiv | 2024 | Link |
| When Foresight Pruning Meets Zeroth-Order Optimization: Efficient Federated Learning for Low-Memory Devices | arXiv | 2024 | Link |
| When NOMA Meets AIGC: Enhanced Wireless Federated Learning | arXiv | 2024 | Link |
| When Swarm Learning meets energy series data: A decentralized collaborative learning design based on blockchain | arXiv | 2024 | Link |
| Where is the Testbed for my Federated Learning Research? | arXiv | 2024 | Link |
| Which Client is Reliable?: A Reliable and Personalized Prompt-based Federated Learning for Medical Image Question Answering | arXiv | 2024 | Link |
| Which Country Is This? Automatic Country Ranking of Street View Photos | arXiv | 2024 | Link |
| Who Followed the Blueprint? Analyzing the Responses of U.S. Federal Agencies to the Blueprint for an AI Bill of Rights | arXiv | 2024 | Link |
| Who's the GOAT? Sports Rankings and Data-Driven Random Walks on the Symmetric Group | arXiv | 2024 | Link |
| Why Go Full? Elevating Federated Learning Through Partial Network Updates | arXiv | 2024 | Link |
| Why do we regularise in every iteration for imaging inverse problems? | arXiv | 2024 | Link |
| Will 6G be Semantic Communications? Opportunities and Challenges from Task Oriented and Secure Communications to Integrated Sensing | arXiv | 2024 | Link |
| Will You Participate? Exploring the Potential of Robotics Competitions on Human-centric Topics | arXiv | 2024 | Link |
| Wind turbine condition monitoring based on intra- and inter-farm federated learning | arXiv | 2024 | Link |
| Wireless Federated Learning over Resource-Constrained Networks: Digital versus Analog Transmissions | arXiv | 2024 | Link |
| Wireless Federated Learning over UAV-enabled Integrated Sensing and Communication | arXiv | 2024 | Link |
| Workflow Optimization for Parallel Split Learning | arXiv | 2024 | Link |
| Worldwide Federated Training of Language Models | arXiv | 2024 | Link |
| YOLO-FEDER FusionNet: A Novel Deep Learning Architecture for Drone Detection | arXiv | 2024 | Link |
| You Still See Me: How Data Protection Supports the Architecture of AI Surveillance | arXiv | 2024 | Link |
| Your Data, My Model: Learning Who Really Helps in Federated Learning | arXiv | 2024 | Link |
| Zeitenwenden: Detecting changes in the German political discourse | arXiv | 2024 | Link |
| Zero-X: A Blockchain-Enabled Open-Set Federated Learning Framework for Zero-Day Attack Detection in IoV | arXiv | 2024 | Link |
| dsLassoCov: a federated machine learning approach incorporating covariate control | arXiv | 2024 | Link |
| eFedLLM: Efficient LLM Inference Based on Federated Learning | arXiv | 2024 | Link |
| fluke: Federated Learning Utility frameworK for Experimentation and research | arXiv | 2024 | Link |
| myAURA: Personalized health library for epilepsy management via knowledge graph sparsification and visualization | arXiv | 2024 | Link |
| pFLFE: Cross-silo Personalized Federated Learning via Feature Enhancement on Medical Image Segmentation | arXiv | 2024 | Link |
| pFedAFM: Adaptive Feature Mixture for Batch-Level Personalization in Heterogeneous Federated Learning | arXiv | 2024 | Link |
| pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning | arXiv | 2024 | Link |
| pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving | arXiv | 2024 | Link |
| pFedMoE: Data-Level Personalization with Mixture of Experts for Model-Heterogeneous Personalized Federated Learning | arXiv | 2024 | Link |
| pfl-research: simulation framework for accelerating research in Private Federated Learning | arXiv | 2024 | Link |
| subMFL: Compatiple subModel Generation for Federated Learning in Device Heterogenous Environment | arXiv | 2024 | Link |
2023
| Title | Venue | Year | Link |
|---|---|---|---|
| $z$-SignFedAvg: A Unified Stochastic Sign-based Compression for Federated Learning | arXiv | 2023 | Link |
| (Amplified) Banded Matrix Factorization: A unified approach to private training | arXiv | 2023 | Link |
| 2SFGL: A Simple And Robust Protocol For Graph-Based Fraud Detection | arXiv | 2023 | Link |
| 3FM: Multi-modal Meta-learning for Federated Tasks | arXiv | 2023 | Link |
| A Bayesian Programming Approach to Car-following Model Calibration and Validation using Limited Data | arXiv | 2023 | Link |
| A Biomedical Knowledge Graph for Biomarker Discovery in Cancer | arXiv | 2023 | Link |
| A Blockchain Solution for Collaborative Machine Learning over IoT | arXiv | 2023 | Link |
| A Blockchain-empowered Multi-Aggregator Federated Learning Architecture in Edge Computing with Deep Reinforcement Learning Optimization | arXiv | 2023 | Link |
| A Carbon Tracking Model for Federated Learning: Impact of Quantization and Sparsification | arXiv | 2023 | Link |
| A Client-server Deep Federated Learning for Cross-domain Surgical Image Segmentation | arXiv | 2023 | Link |
| A Clustering Strategy for Enhanced FL-Based Intrusion Detection in IoT Networks | arXiv | 2023 | Link |
| A Communication-Efficient Adaptive Algorithm for Federated Learning under Cumulative Regret | arXiv | 2023 | Link |
| A Communication-efficient Local Differentially Private Algorithm in Federated Optimization | arXiv | 2023 | Link |
| A Comparative Analysis of Distributed Linear Solvers under Data Heterogeneity | arXiv | 2023 | Link |
| A Comparative Evaluation of FedAvg and Per-FedAvg Algorithms for Dirichlet Distributed Heterogeneous Data | arXiv | 2023 | Link |
| A Comparative Study of Federated Learning Models for COVID-19 Detection | arXiv | 2023 | Link |
| A Comprehensive Empirical Study of Bugs in Open-Source Federated Learning Frameworks | arXiv | 2023 | Link |
| A Comprehensive Study on Model Initialization Techniques Ensuring Efficient Federated Learning | arXiv | 2023 | Link |
| A Comprehensive Survey On Client Selections in Federated Learning | arXiv | 2023 | Link |
| A Comprehensive View of Personalized Federated Learning on Heterogeneous Clinical Datasets | arXiv | 2023 | Link |
| A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks | arXiv | 2023 | Link |
| A Decade of Research in Fog computing: Relevance, Challenges, and Future Directions | arXiv | 2023 | Link |
| A Deep Reinforcement Learning-based Reserve Optimization in Active Distribution Systems for Tertiary Frequency Regulation | arXiv | 2023 | Link |
| A Distributed Approach to Meteorological Predictions: Addressing Data Imbalance in Precipitation Prediction Models through Federated Learning and GANs | arXiv | 2023 | Link |
| A Distributed Computation Model Based on Federated Learning Integrates Heterogeneous models and Consortium Blockchain for Solving Time-Varying Problems | arXiv | 2023 | Link |
| A Distributed Privacy Preserving Model for the Detection of Alzheimer's Disease | arXiv | 2023 | Link |
| A Federated Approach for Hate Speech Detection | arXiv | 2023 | Link |
| A Federated Channel Modeling System using Generative Neural Networks | arXiv | 2023 | Link |
| A Federated Data Fusion-Based Prognostic Model for Applications with Multi-Stream Incomplete Signals | arXiv | 2023 | Link |
| A Federated Learning Algorithms Development Paradigm | arXiv | 2023 | Link |
| A Federated Learning Framework for Stenosis Detection | arXiv | 2023 | Link |
| A Federated Learning-based Industrial Health Prognostics for Heterogeneous Edge Devices using Matched Feature Extraction | arXiv | 2023 | Link |
| A Federated Reinforcement Learning Framework for Link Activation in Multi-link Wi-Fi Networks | arXiv | 2023 | Link |
| A Federated learning model for Electric Energy management using Blockchain Technology | arXiv | 2023 | Link |
| A Framework for Exploring Federated Community Detection | arXiv | 2023 | Link |
| A Framework for Incentivized Collaborative Learning | arXiv | 2023 | Link |
| A Huber Loss Minimization Approach to Byzantine Robust Federated Learning | arXiv | 2023 | Link |
| A Joint Gradient and Loss Based Clustered Federated Learning Design | arXiv | 2023 | Link |
| A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging | arXiv | 2023 | Link |
| A Masked Pruning Approach for Dimensionality Reduction in Communication-Efficient Federated Learning Systems | arXiv | 2023 | Link |
| A Multi-Agent Adaptive Deep Learning Framework for Online Intrusion Detection | arXiv | 2023 | Link |
| A Multi-Token Coordinate Descent Method for Semi-Decentralized Vertical Federated Learning | arXiv | 2023 | Link |
| A Novel Federated Learning-Based IDS for Enhancing UAVs Privacy and Security | arXiv | 2023 | Link |
| A Novel Neural Network-Based Federated Learning System for Imbalanced and Non-IID Data | arXiv | 2023 | Link |
| A Peer-to-peer Federated Continual Learning Network for Improving CT Imaging from Multiple Institutions | arXiv | 2023 | Link |
| A Polystore Architecture Using Knowledge Graphs to Support Queries on Heterogeneous Data Stores | arXiv | 2023 | Link |
| A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design | arXiv | 2023 | Link |
| A Privacy Preserving System for Movie Recommendations Using Federated Learning | arXiv | 2023 | Link |
| A Privacy-Preserving Federated Learning Approach for Kernel methods | arXiv | 2023 | Link |
| A Privacy-Preserving Hybrid Federated Learning Framework for Financial Crime Detection | arXiv | 2023 | Link |
| A Quality-of-Service Compliance System using Federated Learning and Optimistic Rollups | arXiv | 2023 | Link |
| A Quantum Federated Learning Framework for Classical Clients | arXiv | 2023 | Link |
| A Reinforcement Learning-Based Approach to Graph Discovery in D2D-Enabled Federated Learning | arXiv | 2023 | Link |
| A Safe Deep Reinforcement Learning Approach for Energy Efficient Federated Learning in Wireless Communication Networks | arXiv | 2023 | Link |
| A Safe Genetic Algorithm Approach for Energy Efficient Federated Learning in Wireless Communication Networks | arXiv | 2023 | Link |
| A Secure Aggregation for Federated Learning on Long-Tailed Data | arXiv | 2023 | Link |
| A Simple Data Augmentation for Feature Distribution Skewed Federated Learning | arXiv | 2023 | Link |
| A Simple Python Testbed for Federated Learning Algorithms | arXiv | 2023 | Link |
| A Single-Loop Algorithm for Decentralized Bilevel Optimization | arXiv | 2023 | Link |
| A Surface-Based Federated Chow Test Model for Integrating APOE Status, Tau Deposition Measure, and Hippocampal Surface Morphometry | arXiv | 2023 | Link |
| A Survey for Federated Learning Evaluations: Goals and Measures | arXiv | 2023 | Link |
| A Survey of Data Security: Practices from Cybersecurity and Challenges of Machine Learning | arXiv | 2023 | Link |
| A Survey of Federated Evaluation in Federated Learning | arXiv | 2023 | Link |
| A Survey of Federated Learning for Connected and Automated Vehicles | arXiv | 2023 | Link |
| A Survey of Incremental Transfer Learning: Combining Peer-to-Peer Federated Learning and Domain Incremental Learning for Multicenter Collaboration | arXiv | 2023 | Link |
| A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy | arXiv | 2023 | Link |
| A Survey on Class Imbalance in Federated Learning | arXiv | 2023 | Link |
| A Survey on Decentralized Federated Learning | arXiv | 2023 | Link |
| A Survey on Federated Learning Poisoning Attacks and Defenses | arXiv | 2023 | Link |
| A Survey on Federated Learning for the Healthcare Metaverse: Concepts, Applications, Challenges, and Future Directions | arXiv | 2023 | Link |
| A Survey on Federated Unlearning: Challenges, Methods, and Future Directions | arXiv | 2023 | Link |
| A Survey on Model-based, Heuristic, and Machine Learning Optimization Approaches in RIS-aided Wireless Networks | arXiv | 2023 | Link |
| A Survey on Model-heterogeneous Federated Learning: Problems, Methods, and Prospects | arXiv | 2023 | Link |
| A Survey on Secure and Private Federated Learning Using Blockchain: Theory and Application in Resource-constrained Computing | arXiv | 2023 | Link |
| A Survey on Vertical Federated Learning: From a Layered Perspective | arXiv | 2023 | Link |
| A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective | arXiv | 2023 | Link |
| A Systematic Literature Review on Client Selection in Federated Learning | arXiv | 2023 | Link |
| A Theoretical Analysis of Efficiency Constrained Utility-Privacy Bi-Objective Optimization in Federated Learning | arXiv | 2023 | Link |
| A VHetNet-Enabled Asynchronous Federated Learning-Based Anomaly Detection Framework for Ubiquitous IoT | arXiv | 2023 | Link |
| A global exploratory comparison of country self-citations 1996-2019 | arXiv | 2023 | Link |
| A proposal for federated chatbots for distributed information access (extended version) | arXiv | 2023 | Link |
| A review of federated learning in renewable energy applications: Potential, challenges, and future directions | arXiv | 2023 | Link |
| ADMarker: A Multi-Modal Federated Learning System for Monitoring Digital Biomarkers of Alzheimer's Disease | arXiv | 2023 | Link |
| AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices | arXiv | 2023 | Link |
| AGRAMPLIFIER: Defending Federated Learning Against Poisoning Attacks Through Local Update Amplification | arXiv | 2023 | Link |
| AHSecAgg and TSKG: Lightweight Secure Aggregation for Federated Learning Without Compromise | arXiv | 2023 | Link |
| AI Models Close to your Chest: Robust Federated Learning Strategies for Multi-site CT | arXiv | 2023 | Link |
| AI and Democracy's Digital Identity Crisis | arXiv | 2023 | Link |
| AI-Enabled Unmanned Vehicle-Assisted Reconfigurable Intelligent Surfaces: Deployment, Prototyping, Experiments, and Opportunities | arXiv | 2023 | Link |
| AI-assisted Automated Workflow for Real-time X-ray Ptychography Data Analysis via Federated Resources | arXiv | 2023 | Link |
| AI-based Radio and Computing Resource Allocation and Path Planning in NOMA NTNs: AoI Minimization under CSI Uncertainty | arXiv | 2023 | Link |
| ALIST: Associative Logic for Inference, Storage and Transfer. A Lingua Franca for Inference on the Web | arXiv | 2023 | Link |
| APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service | arXiv | 2023 | Link |
| AQUILA: Communication Efficient Federated Learning with Adaptive Quantization in Device Selection Strategy | arXiv | 2023 | Link |
| ARIA: On the Interaction Between Architectures, Initialization and Aggregation Methods for Federated Visual Classification | arXiv | 2023 | Link |
| AXI-REALM: A Lightweight and Modular Interconnect Extension for Traffic Regulation and Monitoring of Heterogeneous Real-Time SoCs | arXiv | 2023 | Link |
| Accelerated Convergence of Stochastic Heavy Ball Method under Anisotropic Gradient Noise | arXiv | 2023 | Link |
| Accelerating Communications in Federated Applications with Transparent Object Proxies | arXiv | 2023 | Link |
| Accelerating Distributed ML Training via Selective Synchronization | arXiv | 2023 | Link |
| Accelerating Fair Federated Learning: Adaptive Federated Adam | arXiv | 2023 | Link |
| Accelerating Hybrid Federated Learning Convergence under Partial Participation | arXiv | 2023 | Link |
| Accelerating Split Federated Learning over Wireless Communication Networks | arXiv | 2023 | Link |
| Accelerating Wireless Federated Learning via Nesterov's Momentum and Distributed Principle Component Analysis | arXiv | 2023 | Link |
| Accurate Autism Spectrum Disorder prediction using Support Vector Classifier based on Federated Learning (SVCFL) | arXiv | 2023 | Link |
| Achievable Rates and Low-Complexity Encoding of Posterior Matching for the BSC | arXiv | 2023 | Link |
| Achieving Linear Speedup in Non-IID Federated Bilevel Learning | arXiv | 2023 | Link |
| Adapter-based Selective Knowledge Distillation for Federated Multi-domain Meeting Summarization | arXiv | 2023 | Link |
| AdapterFL: Adaptive Heterogeneous Federated Learning for Resource-constrained Mobile Computing Systems | arXiv | 2023 | Link |
| Adaptive Compression in Federated Learning via Side Information | arXiv | 2023 | Link |
| Adaptive Compression-Aware Split Learning and Inference for Enhanced Network Efficiency | arXiv | 2023 | Link |
| Adaptive Federated Learning via New Entropy Approach | arXiv | 2023 | Link |
| Adaptive Federated Learning with Auto-Tuned Clients | arXiv | 2023 | Link |
| Adaptive Federated Pruning in Hierarchical Wireless Networks | arXiv | 2023 | Link |
| Adaptive Model Pruning and Personalization for Federated Learning over Wireless Networks | arXiv | 2023 | Link |
| Adaptive Parameterization of Deep Learning Models for Federated Learning | arXiv | 2023 | Link |
| Adaptive Self-Distillation for Minimizing Client Drift in Heterogeneous Federated Learning | arXiv | 2023 | Link |
| Adaptive Test-Time Personalization for Federated Learning | arXiv | 2023 | Link |
| Adaptive incentive for cross-silo federated learning: A multi-agent reinforcement learning approach | arXiv | 2023 | Link |
| AdaptiveFL: Adaptive Heterogeneous Federated Learning for Resource-Constrained AIoT Systems | arXiv | 2023 | Link |
| Additive manifesto decomposition: A policy domain aware method for understanding party positioning | arXiv | 2023 | Link |
| Addressing Budget Allocation and Revenue Allocation in Data Market Environments Using an Adaptive Sampling Algorithm | arXiv | 2023 | Link |
| Addressing Class Variable Imbalance in Federated Semi-supervised Learning | arXiv | 2023 | Link |
| Administration 4.0: Administrative informatics as a customized and necessary educational platform for a modern IT-supported federal administration | arXiv | 2023 | Link |
| Advancements in Federated Learning: Models, Methods, and Privacy | arXiv | 2023 | Link |
| Advances and Challenges in Meta-Learning: A Technical Review | arXiv | 2023 | Link |
| Advancing Federated Learning in 6G: A Trusted Architecture with Graph-based Analysis | arXiv | 2023 | Link |
| Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond | arXiv | 2023 | Link |
| Adversarial Client Detection via Non-parametric Subspace Monitoring in the Internet of Federated Things | arXiv | 2023 | Link |
| Adversarial Robustness Unhardening via Backdoor Attacks in Federated Learning | arXiv | 2023 | Link |
| Advocating for the Silent: Enhancing Federated Generalization for Non-Participating Clients | arXiv | 2023 | Link |
| Agglomerative Federated Learning: Empowering Larger Model Training via End-Edge-Cloud Collaboration | arXiv | 2023 | Link |
| Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices | arXiv | 2023 | Link |
| Aggregating Intrinsic Information to Enhance BCI Performance through Federated Learning | arXiv | 2023 | Link |
| Aggregation Weighting of Federated Learning via Generalization Bound Estimation | arXiv | 2023 | Link |
| AirFL-Mem: Improving Communication-Learning Trade-Off by Long-Term Memory | arXiv | 2023 | Link |
| Amplitude-Varying Perturbation for Balancing Privacy and Utility in Federated Learning | arXiv | 2023 | Link |
| An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects | arXiv | 2023 | Link |
| An Efficient Federated Learning Framework for Training Semantic Communication System | arXiv | 2023 | Link |
| An Efficient Imbalance-Aware Federated Learning Approach for Wearable Healthcare with Autoregressive Ratio Observation | arXiv | 2023 | Link |
| An Efficient Virtual Data Generation Method for Reducing Communication in Federated Learning | arXiv | 2023 | Link |
| An Efficient and Multi-private Key Secure Aggregation for Federated Learning | arXiv | 2023 | Link |
| An Empirical Evaluation of Federated Contextual Bandit Algorithms | arXiv | 2023 | Link |
| An Empirical Study of Efficiency and Privacy of Federated Learning Algorithms | arXiv | 2023 | Link |
| An Empirical Study of Federated Learning on IoT-Edge Devices: Resource Allocation and Heterogeneity | arXiv | 2023 | Link |
| An Empirical Study of Obstacle Preemption in the Supreme Court | arXiv | 2023 | Link |
| An Evaluation of Non-Contrastive Self-Supervised Learning for Federated Medical Image Analysis | arXiv | 2023 | Link |
| An Experimental Study of Byzantine-Robust Aggregation Schemes in Federated Learning | arXiv | 2023 | Link |
| An In-Depth Evaluation of Federated Learning on Biomedical Natural Language Processing | arXiv | 2023 | Link |
| An Incentive Mechanism for Federated Learning Based on Multiple Resource Exchange | arXiv | 2023 | Link |
| An Intelligent Mechanism for Monitoring and Detecting Intrusions in IoT Devices | arXiv | 2023 | Link |
| An Overview of Seven Astronomical Decadal Surveys on Successes, Failures, and Shifting Demographics | arXiv | 2023 | Link |
| An effective and efficient green federated learning method for one-layer neural networks | arXiv | 2023 | Link |
| Analysis and Optimization of Wireless Federated Learning with Data Heterogeneity | arXiv | 2023 | Link |
| Analysis of Label-Flip Poisoning Attack on Machine Learning Based Malware Detector | arXiv | 2023 | Link |
| Analysis of a contention-based approach over 5G NR for Federated Learning in an Industrial Internet of Things scenario | arXiv | 2023 | Link |
| Analyzing FOMC Minutes: Accuracy and Constraints of Language Models | arXiv | 2023 | Link |
| Analyzing the vulnerabilities in SplitFed Learning: Assessing the robustness against Data Poisoning Attacks | arXiv | 2023 | Link |
| Analyzing travel time reliability of a bus route in a limited data set scenario: A case study | arXiv | 2023 | Link |
| Anonymity at Risk? Assessing Re-Identification Capabilities of Large Language Models | arXiv | 2023 | Link |
| Anti-Matthew FL: Bridging the Performance Gap in Federated Learning to Counteract the Matthew Effect | arXiv | 2023 | Link |
| Application and Energy-Aware Data Aggregation using Vector Synchronization in Distributed Battery-less IoT Networks | arXiv | 2023 | Link |
| Application of an ontology for model cards to generate computable artifacts for linking machine learning information from biomedical research | arXiv | 2023 | Link |
| Application-Centric Benchmarking of Distributed FaaS Platforms using BeFaaS | arXiv | 2023 | Link |
| Applications of Distributed Machine Learning for the Internet-of-Things: A Comprehensive Survey | arXiv | 2023 | Link |
| Applications of Federated Learning in IoT for Hyper Personalisation | arXiv | 2023 | Link |
| Applications of Federated Learning in Manufacturing: Identifying the Challenges and Exploring the Future Directions with Industry 4.0 and 5.0 Visions | arXiv | 2023 | Link |
| Approximate Wireless Communication for Federated Learning | arXiv | 2023 | Link |
| Approximate and Weighted Data Reconstruction Attack in Federated Learning | arXiv | 2023 | Link |
| Arena: A Learning-based Synchronization Scheme for Hierarchical Federated Learning--Technical Report | arXiv | 2023 | Link |
| Assessing the Sustainability and Trustworthiness of Federated Learning Models | arXiv | 2023 | Link |
| Asymmetrically Decentralized Federated Learning | arXiv | 2023 | Link |
| Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks | arXiv | 2023 | Link |
| Asynchronous Decentralized Federated Lifelong Learning for Landmark Localization in Medical Imaging | arXiv | 2023 | Link |
| Asynchronous Federated Continual Learning | arXiv | 2023 | Link |
| Asynchronous Federated Learning with Bidirectional Quantized Communications and Buffered Aggregation | arXiv | 2023 | Link |
| Asynchronous Federated Learning with Incentive Mechanism Based on Contract Theory | arXiv | 2023 | Link |
| Asynchronous Local Computations in Distributed Bayesian Learning | arXiv | 2023 | Link |
| Asynchronous Message-Passing and Zeroth-Order Optimization Based Distributed Learning with a Use-Case in Resource Allocation in Communication Networks | arXiv | 2023 | Link |
| Asynchronous Multi-Model Dynamic Federated Learning over Wireless Networks: Theory, Modeling, and Optimization | arXiv | 2023 | Link |
| Asynchronous Online Federated Learning with Reduced Communication Requirements | arXiv | 2023 | Link |
| Asynchronous SGD on Graphs: a Unified Framework for Asynchronous Decentralized and Federated Optimization | arXiv | 2023 | Link |
| Asynchronous Wireless Federated Learning with Probabilistic Client Selection | arXiv | 2023 | Link |
| Attacks on Robust Distributed Learning Schemes via Sensitivity Curve Maximization | arXiv | 2023 | Link |
| Attacks on fairness in Federated Learning | arXiv | 2023 | Link |
| AutoFed: Heterogeneity-Aware Federated Multimodal Learning for Robust Autonomous Driving | arXiv | 2023 | Link |
| Automated Federated Learning in Mobile Edge Networks -- Fast Adaptation and Convergence | arXiv | 2023 | Link |
| Automated multilingual detection of Pro-Kremlin propaganda in newspapers and Telegram posts | arXiv | 2023 | Link |
| Automatic Anonymization of Swiss Federal Supreme Court Rulings | arXiv | 2023 | Link |
| Autonomous Choreography of WebAssembly Workloads in the Federated Cloud-Edge-IoT Continuum | arXiv | 2023 | Link |
| Avoid Adversarial Adaption in Federated Learning by Multi-Metric Investigations | arXiv | 2023 | Link |
| BAFFLE: A Baseline of Backpropagation-Free Federated Learning | arXiv | 2023 | Link |
| BAGEL: Backdoor Attacks against Federated Contrastive Learning | arXiv | 2023 | Link |
| BARA: Efficient Incentive Mechanism with Online Reward Budget Allocation in Cross-Silo Federated Learning | arXiv | 2023 | Link |
| BFRT: Blockchained Federated Learning for Real-time Traffic Flow Prediction | arXiv | 2023 | Link |
| BRFL: A Blockchain-based Byzantine-Robust Federated Learning Model | arXiv | 2023 | Link |
| B^2SFL: A Bi-level Blockchained Architecture for Secure Federated Learning-based Traffic Prediction | arXiv | 2023 | Link |
| Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges and Future Research Directions | arXiv | 2023 | Link |
| Backdoor Attacks in Peer-to-Peer Federated Learning | arXiv | 2023 | Link |
| Backdoor Federated Learning by Poisoning Backdoor-Critical Layers | arXiv | 2023 | Link |
| Backdoor Threats from Compromised Foundation Models to Federated Learning | arXiv | 2023 | Link |
| BadVFL: Backdoor Attacks in Vertical Federated Learning | arXiv | 2023 | Link |
| Balanced Multi-modal Federated Learning via Cross-Modal Infiltration | arXiv | 2023 | Link |
| Balancing Accuracy and Training Time in Federated Learning for Violence Detection in Surveillance Videos: A Study of Neural Network Architectures | arXiv | 2023 | Link |
| Balancing Energy Efficiency and Distributional Robustness in Over-the-Air Federated Learning | arXiv | 2023 | Link |
| Balancing Privacy and Performance for Private Federated Learning Algorithms | arXiv | 2023 | Link |
| Bamboo: Boosting Training Efficiency for Real-Time Video Streaming via Online Grouped Federated Transfer Learning | arXiv | 2023 | Link |
| BayBFed: Bayesian Backdoor Defense for Federated Learning | arXiv | 2023 | Link |
| Bayesian Federated Inference for estimating Statistical Models based on Non-shared Multicenter Data sets | arXiv | 2023 | Link |
| Bayesian Federated Learning: A Survey | arXiv | 2023 | Link |
| Bayesian Over-the-Air FedAvg via Channel Driven Stochastic Gradient Langevin Dynamics | arXiv | 2023 | Link |
| Bayesian Personalized Federated Learning with Shared and Personalized Uncertainty Representations | arXiv | 2023 | Link |
| Beamforming and Device Selection Design in Federated Learning with Over-the-air Aggregation | arXiv | 2023 | Link |
| Benchmarking Algorithms for Federated Domain Generalization | arXiv | 2023 | Link |
| Benchmarking Collaborative Learning Methods Cost-Effectiveness for Prostate Segmentation | arXiv | 2023 | Link |
| Benchmarking FedAvg and FedCurv for Image Classification Tasks | arXiv | 2023 | Link |
| Benefits of Advanced Air Mobility for Society and Environment: A Case Study of Ohio | arXiv | 2023 | Link |
| Beta Thalassemia Carriers detection empowered federated Learning | arXiv | 2023 | Link |
| Better Generative Replay for Continual Federated Learning | arXiv | 2023 | Link |
| Beyond Certificates: 6G-ready Access Control for the Service-Based Architecture with Decentralized Identifiers and Verifiable Credentials | arXiv | 2023 | Link |
| Binary Federated Learning with Client-Level Differential Privacy | arXiv | 2023 | Link |
| BioThings Explorer: a query engine for a federated knowledge graph of biomedical APIs | arXiv | 2023 | Link |
| Bkd-FedGNN: A Benchmark for Classification Backdoor Attacks on Federated Graph Neural Network | arXiv | 2023 | Link |
| Blind Federated Learning via Over-the-Air q-QAM | arXiv | 2023 | Link |
| Block-Wise Encryption for Reliable Vision Transformer models | arXiv | 2023 | Link |
| Blockchain-Based Federated Learning: Incentivizing Data Sharing and Penalizing Dishonest Behavior | arXiv | 2023 | Link |
| Blockchain-Enabled Federated Learning Approach for Vehicular Networks | arXiv | 2023 | Link |
| Blockchain-Enabled Federated Learning: A Reference Architecture Design, Implementation, and Verification | arXiv | 2023 | Link |
| Blockchain-based Federated Learning for Decentralized Energy Management Systems | arXiv | 2023 | Link |
| Blockchain-based Federated Learning with SMPC Model Verification Against Poisoning Attack for Healthcare Systems | arXiv | 2023 | Link |
| Blockchain-based Federated Learning with Secure Aggregation in Trusted Execution Environment for Internet-of-Things | arXiv | 2023 | Link |
| Blockchained Federated Learning for Internet of Things: A Comprehensive Survey | arXiv | 2023 | Link |
| Blood Glucose Level Prediction: A Graph-based Explainable Method with Federated Learning | arXiv | 2023 | Link |
| Bold but Cautious: Unlocking the Potential of Personalized Federated Learning through Cautiously Aggressive Collaboration | arXiv | 2023 | Link |
| BonnBeetClouds3D: A Dataset Towards Point Cloud-based Organ-level Phenotyping of Sugar Beet Plants under Field Conditions | arXiv | 2023 | Link |
| Boosting Federated Learning Convergence with Prototype Regularization | arXiv | 2023 | Link |
| Brain MRI Screening Tool with Federated Learning | arXiv | 2023 | Link |
| Breaking the Communication-Privacy-Accuracy Tradeoff with $f$-Differential Privacy | arXiv | 2023 | Link |
| Bridging the Gap Between Foundation Models and Heterogeneous Federated Learning | arXiv | 2023 | Link |
| Bringing AI to the edge: A formal M&S specification to deploy effective IoT architectures | arXiv | 2023 | Link |
| Byzantine-Resilient Federated Learning at Edge | arXiv | 2023 | Link |
| Byzantine-Resilient Federated PCA and Low Rank Column-wise Sensing | arXiv | 2023 | Link |
| Byzantine-Robust Clustered Federated Learning | arXiv | 2023 | Link |
| Byzantine-Robust Federated Learning with Variance Reduction and Differential Privacy | arXiv | 2023 | Link |
| Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting | arXiv | 2023 | Link |
| CADIS: Handling Cluster-skewed Non-IID Data in Federated Learning with Clustered Aggregation and Knowledge DIStilled Regularization | arXiv | 2023 | Link |
| CAFE: Carbon-Aware Federated Learning in Geographically Distributed Data Centers | arXiv | 2023 | Link |
| CEFHRI: A Communication Efficient Federated Learning Framework for Recognizing Industrial Human-Robot Interaction | arXiv | 2023 | Link |
| CLIP-guided Federated Learning on Heterogeneous and Long-Tailed Data | arXiv | 2023 | Link |
| CML-TTS A Multilingual Dataset for Speech Synthesis in Low-Resource Languages | arXiv | 2023 | Link |
| CRS-FL: Conditional Random Sampling for Communication-Efficient and Privacy-Preserving Federated Learning | arXiv | 2023 | Link |
| CSMAAFL: Client Scheduling and Model Aggregation in Asynchronous Federated Learning | arXiv | 2023 | Link |
| Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space | arXiv | 2023 | Link |
| Calibrating Chevron for Preemption | arXiv | 2023 | Link |
| Can Decentralized Learning be more robust than Federated Learning? | arXiv | 2023 | Link |
| Can Fair Federated Learning reduce the need for Personalisation? | arXiv | 2023 | Link |
| Can Public Large Language Models Help Private Cross-device Federated Learning? | arXiv | 2023 | Link |
| Categorizing Flight Paths using Data Visualization and Clustering Methodologies | arXiv | 2023 | Link |
| Causal effects of the Fed's large-scale asset purchases on firms' capital structure | arXiv | 2023 | Link |
| Centrally Essential Factor Rings and Subdirect Indecomposability | arXiv | 2023 | Link |
| Chained-DP: Can We Recycle Privacy Budget? | arXiv | 2023 | Link |
| Channel and Gradient-Importance Aware Device Scheduling for Over-the-Air Federated Learning | arXiv | 2023 | Link |
| Chevron's Sliding Scale in Wyeth v. Levine, 129 S. Ct. 1187 (2009) | arXiv | 2023 | Link |
| Circulation Statistics in Homogeneous and Isotropic Turbulence | arXiv | 2023 | Link |
| Class-wise Federated Unlearning: Harnessing Active Forgetting with Teacher-Student Memory Generation | arXiv | 2023 | Link |
| Client Orchestration and Cost-Efficient Joint Optimization for NOMA-Enabled Hierarchical Federated Learning | arXiv | 2023 | Link |
| Client Recruitment for Federated Learning in ICU Length of Stay Prediction | arXiv | 2023 | Link |
| Client Selection for Federated Policy Optimization with Environment Heterogeneity | arXiv | 2023 | Link |
| Client Selection for Generalization in Accelerated Federated Learning: A Multi-Armed Bandit Approach | arXiv | 2023 | Link |
| Client-Level Differential Privacy via Adaptive Intermediary in Federated Medical Imaging | arXiv | 2023 | Link |
| Client-specific Property Inference against Secure Aggregation in Federated Learning | arXiv | 2023 | Link |
| Closing the Loop: Testing ChatGPT to Generate Model Explanations to Improve Human Labelling of Sponsored Content on Social Media | arXiv | 2023 | Link |
| Cloud-Based Hierarchical Imitation Learning for Scalable Transfer of Construction Skills from Human Workers to Assisting Robots | arXiv | 2023 | Link |
| Cloud-Magnetic Resonance Imaging System: In the Era of 6G and Artificial Intelligence | arXiv | 2023 | Link |
| Cloudless-Training: A Framework to Improve Efficiency of Geo-Distributed ML Training | arXiv | 2023 | Link |
| Clustered Data Sharing for Non-IID Federated Learning over Wireless Networks | arXiv | 2023 | Link |
| Clustered FedStack: Intermediate Global Models with Bayesian Information Criterion | arXiv | 2023 | Link |
| Clustered Federated Learning Architecture for Network Anomaly Detection in Large Scale Heterogeneous IoT Networks | arXiv | 2023 | Link |
| Coded Matrix Computations for D2D-enabled Linearized Federated Learning | arXiv | 2023 | Link |
| Collaborative Chinese Text Recognition with Personalized Federated Learning | arXiv | 2023 | Link |
| Collaborative Distributed Machine Learning | arXiv | 2023 | Link |
| Collaborative Policy Learning for Dynamic Scheduling Tasks in Cloud-Edge-Terminal IoT Networks Using Federated Reinforcement Learning | arXiv | 2023 | Link |
| Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators | arXiv | 2023 | Link |
| Combating Exacerbated Heterogeneity for Robust Models in Federated Learning | arXiv | 2023 | Link |
| Combined Use of Federated Learning and Image Encryption for Privacy-Preserving Image Classification with Vision Transformer | arXiv | 2023 | Link |
| Communication Compression for Byzantine Robust Learning: New Efficient Algorithms and Improved Rates | arXiv | 2023 | Link |
| Communication Efficiency Optimization of Federated Learning for Computing and Network Convergence of 6G Networks | arXiv | 2023 | Link |
| Communication Efficient Federated Learning for Multilingual Neural Machine Translation with Adapter | arXiv | 2023 | Link |
| Communication Efficient Private Federated Learning Using Dithering | arXiv | 2023 | Link |
| Communication Resources Constrained Hierarchical Federated Learning for End-to-End Autonomous Driving | arXiv | 2023 | Link |
| Communication Trade-offs in Federated Learning of Spiking Neural Networks | arXiv | 2023 | Link |
| Communication and Energy Efficient Wireless Federated Learning with Intrinsic Privacy | arXiv | 2023 | Link |
| Communication and Storage Efficient Federated Split Learning | arXiv | 2023 | Link |
| Communication-Efficient Cooperative Multi-Agent PPO via Regulated Segment Mixture in Internet of Vehicles | arXiv | 2023 | Link |
| Communication-Efficient Design for Quantized Decentralized Federated Learning | arXiv | 2023 | Link |
| Communication-Efficient Design of Learning System for Energy Demand Forecasting of Electrical Vehicles | arXiv | 2023 | Link |
| Communication-Efficient Federated Bilevel Optimization with Local and Global Lower Level Problems | arXiv | 2023 | Link |
| Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation | arXiv | 2023 | Link |
| Communication-Efficient Federated Learning over Capacity-Limited Wireless Networks | arXiv | 2023 | Link |
| Communication-Efficient Federated Learning via Regularized Sparse Random Networks | arXiv | 2023 | Link |
| Communication-Efficient Federated Non-Linear Bandit Optimization | arXiv | 2023 | Link |
| Communication-Efficient Federated Optimization over Semi-Decentralized Networks | arXiv | 2023 | Link |
| Communication-Efficient Framework for Distributed Image Semantic Wireless Transmission | arXiv | 2023 | Link |
| Communication-Efficient Gradient Descent-Accent Methods for Distributed Variational Inequalities: Unified Analysis and Local Updates | arXiv | 2023 | Link |
| Communication-Efficient Heterogeneous Federated Learning with Generalized Heavy-Ball Momentum | arXiv | 2023 | Link |
| Communication-Efficient Search under Fully Homomorphic Encryption for Federated Machine Learning | arXiv | 2023 | Link |
| Communication-Efficient Soft Actor-Critic Policy Collaboration via Regulated Segment Mixture | arXiv | 2023 | Link |
| Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples | arXiv | 2023 | Link |
| Communication-Efficient Zeroth-Order Distributed Online Optimization: Algorithm, Theory, and Applications | arXiv | 2023 | Link |
| Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence | arXiv | 2023 | Link |
| Communication-efficient Personalized Federated Edge Learning for Massive MIMO CSI Feedback | arXiv | 2023 | Link |
| CommunityAI: Towards Community-based Federated Learning | arXiv | 2023 | Link |
| Comparative Evaluation of Data Decoupling Techniques for Federated Machine Learning with Database as a Service | arXiv | 2023 | Link |
| Competitive Advantage Attacks to Decentralized Federated Learning | arXiv | 2023 | Link |
| Complement Sparsification: Low-Overhead Model Pruning for Federated Learning | arXiv | 2023 | Link |
| Composite federated learning with heterogeneous data | arXiv | 2023 | Link |
| Compressed Private Aggregation for Scalable and Robust Federated Learning over Massive Networks | arXiv | 2023 | Link |
| Compressed and distributed least-squares regression: convergence rates with applications to Federated Learning | arXiv | 2023 | Link |
| Compression with Exact Error Distribution for Federated Learning | arXiv | 2023 | Link |
| Computation Offloading with Multiple Agents in Edge-Computing-Supported IoT | arXiv | 2023 | Link |
| Computation and Privacy Protection for Satellite-Ground Digital Twin Networks | arXiv | 2023 | Link |
| Comverse: A Federative-by-Design Platform for Community Computing | arXiv | 2023 | Link |
| ConDistFL: Conditional Distillation for Federated Learning from Partially Annotated Data | arXiv | 2023 | Link |
| Concept Matching: Clustering-based Federated Continual Learning | arXiv | 2023 | Link |
| Confidence-aware Personalized Federated Learning via Variational Expectation Maximization | arXiv | 2023 | Link |
| Confidence-based federated distillation for vision-based lane-centering | arXiv | 2023 | Link |
| Confidential Truth Finding with Multi-Party Computation (Extended Version) | arXiv | 2023 | Link |
| Conformal Prediction for Federated Uncertainty Quantification Under Label Shift | arXiv | 2023 | Link |
| Connected and Automated Vehicles Investment and Smart Infrastructure in Tennessee Part 3: Infrastructure and Vehicular communications: From Dedicated Short-Range Communications to Cellular Vehicle-to-Everything | arXiv | 2023 | Link |
| Connectivity-Aware Semi-Decentralized Federated Learning over Time-Varying D2D Networks | arXiv | 2023 | Link |
| Consensus ALADIN: A Framework for Distributed Optimization and Its Application in Federated Learning | arXiv | 2023 | Link |
| Contagion Effects of the Silicon Valley Bank Run | arXiv | 2023 | Link |
| Contextual Stochastic Bilevel Optimization | arXiv | 2023 | Link |
| Continual Adaptation of Vision Transformers for Federated Learning | arXiv | 2023 | Link |
| Contractive error feedback for gradient compression | arXiv | 2023 | Link |
| Contrast with Major Classifier Vectors for Federated Medical Relation Extraction with Heterogeneous Label Distribution | arXiv | 2023 | Link |
| Contribution Evaluation in Federated Learning: Examining Current Approaches | arXiv | 2023 | Link |
| Controlling Federated Learning for Covertness | arXiv | 2023 | Link |
| Convergence Analysis and Latency Minimization for Semi-Federated Learning in Massive IoT Networks | arXiv | 2023 | Link |
| Convergence Analysis of Over-the-Air FL with Compression and Power Control via Clipping | arXiv | 2023 | Link |
| Convergence Analysis of Sequential Federated Learning on Heterogeneous Data | arXiv | 2023 | Link |
| Convergence Analysis of Sequential Split Learning on Heterogeneous Data | arXiv | 2023 | Link |
| Convergence of First-Order Algorithms for Meta-Learning with Moreau Envelopes | arXiv | 2023 | Link |
| Cooperative Federated Learning over Ground-to-Satellite Integrated Networks: Joint Local Computation and Data Offloading | arXiv | 2023 | Link |
| Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging | arXiv | 2023 | Link |
| Coordinated Replay Sample Selection for Continual Federated Learning | arXiv | 2023 | Link |
| Coordination-free Decentralised Federated Learning on Complex Networks: Overcoming Heterogeneity | arXiv | 2023 | Link |
| CorrFL: Correlation-Based Neural Network Architecture for Unavailability Concerns in a Heterogeneous IoT Environment | arXiv | 2023 | Link |
| Correct orchestration of Federated Learning generic algorithms: formalisation and verification in CSP | arXiv | 2023 | Link |
| Correlation Aware Sparsified Mean Estimation Using Random Projection | arXiv | 2023 | Link |
| Covert Communication Based on the Poisoning Attack in Federated Learning | arXiv | 2023 | Link |
| Cross-Fusion Rule for Personalized Federated Learning | arXiv | 2023 | Link |
| Cross-Modal Vertical Federated Learning for MRI Reconstruction | arXiv | 2023 | Link |
| Cross-Silo Federated Learning Across Divergent Domains with Iterative Parameter Alignment | arXiv | 2023 | Link |
| Cross-device Federated Learning for Mobile Health Diagnostics: A First Study on COVID-19 Detection | arXiv | 2023 | Link |
| CryptoQFL: Quantum Federated Learning on Encrypted Data | arXiv | 2023 | Link |
| Cuing Without Sharing: A Federated Cued Speech Recognition Framework via Mutual Knowledge Distillation | arXiv | 2023 | Link |
| CyberForce: A Federated Reinforcement Learning Framework for Malware Mitigation | arXiv | 2023 | Link |
| CyclicFL: A Cyclic Model Pre-Training Approach to Efficient Federated Learning | arXiv | 2023 | Link |
| DABS: Data-Agnostic Backdoor attack at the Server in Federated Learning | arXiv | 2023 | Link |
| DAG-ACFL: Asynchronous Clustered Federated Learning based on DAG-DLT | arXiv | 2023 | Link |
| DAXiot: A Decentralized Authentication and Authorization Scheme for Dynamic IoT Networks | arXiv | 2023 | Link |
| DBFed: Debiasing Federated Learning Framework based on Domain-Independent | arXiv | 2023 | Link |
| DCFL: Non-IID awareness Data Condensation aided Federated Learning | arXiv | 2023 | Link |
| DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning | arXiv | 2023 | Link |
| DFedADMM: Dual Constraints Controlled Model Inconsistency for Decentralized Federated Learning | arXiv | 2023 | Link |
| DP-BREM: Differentially-Private and Byzantine-Robust Federated Learning with Client Momentum | arXiv | 2023 | Link |
| DPP-based Client Selection for Federated Learning with Non-IID Data | arXiv | 2023 | Link |
| DRAG: Divergence-based Adaptive Aggregation in Federated learning on Non-IID Data | arXiv | 2023 | Link |
| DRIFT: A Federated Recommender System with Implicit Feedback on the Items | arXiv | 2023 | Link |
| DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning with Static and Streaming Dataset | arXiv | 2023 | Link |
| Data Collaboration Analysis applied to Compound Datasets and the Introduction of Projection data to Non-IID settings | arXiv | 2023 | Link |
| Data Mesh: a Systematic Gray Literature Review | arXiv | 2023 | Link |
| Data Station: Delegated, Trustworthy, and Auditable Computation to Enable Data-Sharing Consortia with a Data Escrow | arXiv | 2023 | Link |
| Data Valuation and Detections in Federated Learning | arXiv | 2023 | Link |
| Data stewardship: case studies from North-American, Dutch, and Finnish universities | arXiv | 2023 | Link |
| Data, Competition, and Digital Platforms | arXiv | 2023 | Link |
| Data-Aware Gradient Compression for FL in Communication-Constrained Mobile Computing | arXiv | 2023 | Link |
| Data-Efficient Energy-Aware Participant Selection for UAV-Enabled Federated Learning | arXiv | 2023 | Link |
| Data-Free Diversity-Based Ensemble Selection For One-Shot Federated Learning in Machine Learning Model Market | arXiv | 2023 | Link |
| Data-Heterogeneous Hierarchical Federated Learning with Mobility | arXiv | 2023 | Link |
| Dealing With Heterogeneous 3D MR Knee Images: A Federated Few-Shot Learning Method With Dual Knowledge Distillation | arXiv | 2023 | Link |
| Decaffe: DHT Tree-Based Online Federated Fake News Detection | arXiv | 2023 | Link |
| Decentralised Identity Federations using Blockchain | arXiv | 2023 | Link |
| Decentralised Semi-supervised Onboard Learning for Scene Classification in Low-Earth Orbit | arXiv | 2023 | Link |
| Decentralised and collaborative machine learning framework for IoT | arXiv | 2023 | Link |
| Decentralized Energy Marketplace via NFTs and AI-based Agents | arXiv | 2023 | Link |
| Decentralized Federated Learning on the Edge over Wireless Mesh Networks | arXiv | 2023 | Link |
| Decentralized Federated Learning via MIMO Over-the-Air Computation: Consensus Analysis and Performance Optimization | arXiv | 2023 | Link |
| Decentralized Federated Learning: A Survey and Perspective | arXiv | 2023 | Link |
| Decentralized Healthcare Systems with Federated Learning and Blockchain | arXiv | 2023 | Link |
| Decentralized Model Dissemination Empowered Federated Learning in mmWave Aerial-Terrestrial Integrated Networks | arXiv | 2023 | Link |
| Decentralized Online Federated G-Network Learning for Lightweight Intrusion Detection | arXiv | 2023 | Link |
| Decentralized Personalized Online Federated Learning | arXiv | 2023 | Link |
| Decentralized Quantum Federated Learning for Metaverse: Analysis, Design and Implementation | arXiv | 2023 | Link |
| Decentralized Zero-Trust Framework for Digital Twin-based 6G | arXiv | 2023 | Link |
| Decentralized federated learning methods for reducing communication cost and energy consumption in UAV networks | arXiv | 2023 | Link |
| Decomposing cryptocurrency high-frequency price dynamics into recurring and noisy components | arXiv | 2023 | Link |
| Deep Anatomical Federated Network (Dafne): An open client-server framework for the continuous, collaborative improvement of deep learning-based medical image segmentation | arXiv | 2023 | Link |
| Deep Convolutional Neural Networks for Short-Term Multi-Energy Demand Prediction of Integrated Energy Systems | arXiv | 2023 | Link |
| Deep Equilibrium Models Meet Federated Learning | arXiv | 2023 | Link |
| Deep Reinforcement Learning Based Vehicle Selection for Asynchronous Federated Learning Enabled Vehicular Edge Computing | arXiv | 2023 | Link |
| DeepMediX: A Deep Learning-Driven Resource-Efficient Medical Diagnosis Across the Spectrum | arXiv | 2023 | Link |
| Deepfakes, Phrenology, Surveillance, and More! A Taxonomy of AI Privacy Risks | arXiv | 2023 | Link |
| Defending Against Poisoning Attacks in Federated Learning with Blockchain | arXiv | 2023 | Link |
| Delay Sensitive Hierarchical Federated Learning with Stochastic Local Updates | arXiv | 2023 | Link |
| Delay-Aware Hierarchical Federated Learning | arXiv | 2023 | Link |
| Delving into the Adversarial Robustness of Federated Learning | arXiv | 2023 | Link |
| Demystifying Local and Global Fairness Trade-offs in Federated Learning Using Partial Information Decomposition | arXiv | 2023 | Link |
| Design of Two-Level Incentive Mechanisms for Hierarchical Federated Learning | arXiv | 2023 | Link |
| Developing Distributed High-performance Computing Capabilities of an Open Science Platform for Robust Epidemic Analysis | arXiv | 2023 | Link |
| Developing Elementary Federated Learning Algorithms Leveraging the ChatGPT | arXiv | 2023 | Link |
| Device Sampling and Resource Optimization for Federated Learning in Cooperative Edge Networks | arXiv | 2023 | Link |
| Device Scheduling for Relay-assisted Over-the-Air Aggregation in Federated Learning | arXiv | 2023 | Link |
| Device-Edge Cooperative Fine-Tuning of Foundation Models as a 6G Service | arXiv | 2023 | Link |
| DiLoCo: Distributed Low-Communication Training of Language Models | arXiv | 2023 | Link |
| Differential Privacy for Adaptive Weight Aggregation in Federated Tumor Segmentation | arXiv | 2023 | Link |
| Differentially Private Distributed Convex Optimization | arXiv | 2023 | Link |
| Differentially Private Distributed Estimation and Learning | arXiv | 2023 | Link |
| Differentially Private Federated Clustering over Non-IID Data | arXiv | 2023 | Link |
| Differentially Private Heavy Hitter Detection using Federated Analytics | arXiv | 2023 | Link |
| Differentially Private Low-Rank Adaptation of Large Language Model Using Federated Learning | arXiv | 2023 | Link |
| Differentially Private Multi-Site Treatment Effect Estimation | arXiv | 2023 | Link |
| Differentially Private Numerical Vector Analyses in the Local and Shuffle Model | arXiv | 2023 | Link |
| Differentially Private Pre-Trained Model Fusion using Decentralized Federated Graph Matching | arXiv | 2023 | Link |
| Differentially Private Wireless Federated Learning Using Orthogonal Sequences | arXiv | 2023 | Link |
| Differentially private sliced inverse regression in the federated paradigm | arXiv | 2023 | Link |
| Digital Ethics in Federated Learning | arXiv | 2023 | Link |
| Digital Over-the-Air Federated Learning in Multi-Antenna Systems | arXiv | 2023 | Link |
| Digital Twin-Assisted Knowledge Distillation Framework for Heterogeneous Federated Learning | arXiv | 2023 | Link |
| Dimension Reduction for Large-Scale Federated Data: Statistical Rate and Asymptotic Inference | arXiv | 2023 | Link |
| Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks | arXiv | 2023 | Link |
| Distributed Attacks over Federated Reinforcement Learning-enabled Cell Sleep Control | arXiv | 2023 | Link |
| Distributed Bayesian Estimation in Sensor Networks: Consensus on Marginal Densities | arXiv | 2023 | Link |
| Distributed Collapsed Gibbs Sampler for Dirichlet Process Mixture Models in Federated Learning | arXiv | 2023 | Link |
| Distributed Learning Meets 6G: A Communication and Computing Perspective | arXiv | 2023 | Link |
| Distributed Learning in Heterogeneous Environment: federated learning with adaptive aggregation and computation reduction | arXiv | 2023 | Link |
| Distributed Machine Learning for UAV Swarms: Computing, Sensing, and Semantics | arXiv | 2023 | Link |
| Distributed Optimization for Quadratic Cost Functions over Large-Scale Networks with Quantized Communication and Finite-Time Convergence | arXiv | 2023 | Link |
| Distributed Stochastic Optimization under a General Variance Condition | arXiv | 2023 | Link |
| Distributed Traffic Synthesis and Classification in Edge Networks: A Federated Self-supervised Learning Approach | arXiv | 2023 | Link |
| Distributed Trust Through the Lens of Software Architecture | arXiv | 2023 | Link |
| Distributed and Deep Vertical Federated Learning with Big Data | arXiv | 2023 | Link |
| Distributed sequential federated learning | arXiv | 2023 | Link |
| Distributionally Robust Learning for Multi-source Unsupervised Domain Adaptation | arXiv | 2023 | Link |
| Divide-and-Conquer the NAS puzzle in Resource Constrained Federated Learning Systems | arXiv | 2023 | Link |
| DoCoFL: Downlink Compression for Cross-Device Federated Learning | arXiv | 2023 | Link |
| Dual Personalization on Federated Recommendation | arXiv | 2023 | Link |
| DualFL: A Duality-based Federated Learning Algorithm with Communication Acceleration in the General Convex Regime | arXiv | 2023 | Link |
| Dynamic Fair Federated Learning Based on Reinforcement Learning | arXiv | 2023 | Link |
| Dynamic Heterogeneous Federated Learning with Multi-Level Prototypes | arXiv | 2023 | Link |
| Dynamic Privacy Allocation for Locally Differentially Private Federated Learning with Composite Objectives | arXiv | 2023 | Link |
| Dynamic Scheduling for Federated Edge Learning with Streaming Data | arXiv | 2023 | Link |
| DynamicFL: Balancing Communication Dynamics and Client Manipulation for Federated Learning | arXiv | 2023 | Link |
| Dynamically Weighted Federated k-Means | arXiv | 2023 | Link |
| EASTER: Embedding Aggregation-based Heterogeneous Models Training in Vertical Federated Learning | arXiv | 2023 | Link |
| ELF: Federated Langevin Algorithms with Primal, Dual and Bidirectional Compression | arXiv | 2023 | Link |
| EM for Mixture of Linear Regression with Clustered Data | arXiv | 2023 | Link |
| EPISODE: Episodic Gradient Clipping with Periodic Resampled Corrections for Federated Learning with Heterogeneous Data | arXiv | 2023 | Link |
| ESAFL: Efficient Secure Additively Homomorphic Encryption for Cross-Silo Federated Learning | arXiv | 2023 | Link |
| Earth Virtualization Engines -- A Technical Perspective | arXiv | 2023 | Link |
| Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model | arXiv | 2023 | Link |
| EcoFed: Efficient Communication for DNN Partitioning-based Federated Learning | arXiv | 2023 | Link |
| EcoLearn: Optimizing the Carbon Footprint of Federated Learning | arXiv | 2023 | Link |
| Ed-Fed: A generic federated learning framework with resource-aware client selection for edge devices | arXiv | 2023 | Link |
| Edge AI for Internet of Energy: Challenges and Perspectives | arXiv | 2023 | Link |
| Edge Intelligence Over the Air: Two Faces of Interference in Federated Learning | arXiv | 2023 | Link |
| Edge Selection and Clustering for Federated Learning in Optical Inter-LEO Satellite Constellation | arXiv | 2023 | Link |
| EdgeConvEns: Convolutional Ensemble Learning for Edge Intelligence | arXiv | 2023 | Link |
| EdgeFL: A Lightweight Decentralized Federated Learning Framework | arXiv | 2023 | Link |
| Effective and Efficient Federated Tree Learning on Hybrid Data | arXiv | 2023 | Link |
| Effectively Heterogeneous Federated Learning: A Pairing and Split Learning Based Approach | arXiv | 2023 | Link |
| Efficient Asynchronous Federated Learning with Sparsification and Quantization | arXiv | 2023 | Link |
| Efficient Classification of SARS-CoV-2 Spike Sequences Using Federated Learning | arXiv | 2023 | Link |
| Efficient Cluster Selection for Personalized Federated Learning: A Multi-Armed Bandit Approach | arXiv | 2023 | Link |
| Efficient Conformal Prediction under Data Heterogeneity | arXiv | 2023 | Link |
| Efficient Core-selecting Incentive Mechanism for Data Sharing in Federated Learning | arXiv | 2023 | Link |
| Efficient Cross-Domain Federated Learning by MixStyle Approximation | arXiv | 2023 | Link |
| Efficient Federated Learning via Local Adaptive Amended Optimizer with Linear Speedup | arXiv | 2023 | Link |
| Efficient Federated Learning with Enhanced Privacy via Lottery Ticket Pruning in Edge Computing | arXiv | 2023 | Link |
| Efficient Federated Low Rank Matrix Recovery via Alternating GD and Minimization: A Simple Proof | arXiv | 2023 | Link |
| Efficient Federated Prompt Tuning for Black-box Large Pre-trained Models | arXiv | 2023 | Link |
| Efficient Model Personalization in Federated Learning via Client-Specific Prompt Generation | arXiv | 2023 | Link |
| Efficient On-device Training via Gradient Filtering | arXiv | 2023 | Link |
| Efficient Parallel Split Learning over Resource-constrained Wireless Edge Networks | arXiv | 2023 | Link |
| Efficient Personalized Federated Learning via Sparse Model-Adaptation | arXiv | 2023 | Link |
| Efficient Secure Aggregation for Privacy-Preserving Federated Machine Learning | arXiv | 2023 | Link |
| Efficient Training of Large-scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout | arXiv | 2023 | Link |
| Efficient and Accurate Range Counting on Privacy-preserving Spatial Data Federation [Technical Report] | arXiv | 2023 | Link |
| Efficient and Private Federated Trajectory Matching | arXiv | 2023 | Link |
| EgoObjects: A Large-Scale Egocentric Dataset for Fine-Grained Object Understanding | arXiv | 2023 | Link |
| Elastic Federated Learning over Open Radio Access Network (O-RAN) for Concurrent Execution of Multiple Distributed Learning Tasks | arXiv | 2023 | Link |
| Elastically-Constrained Meta-Learner for Federated Learning | arXiv | 2023 | Link |
| Eliminating Domain Bias for Federated Learning in Representation Space | arXiv | 2023 | Link |
| Enabling Differentially Private Federated Learning for Speech Recognition: Benchmarks, Adaptive Optimizers and Gradient Clipping | arXiv | 2023 | Link |
| Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx | arXiv | 2023 | Link |
| Enabling Intelligent Vehicular Networks Through Distributed Learning in the Non-Terrestrial Networks 6G Vision | arXiv | 2023 | Link |
| Enabling Quartile-based Estimated-Mean Gradient Aggregation As Baseline for Federated Image Classifications | arXiv | 2023 | Link |
| Enabling Technologies for Programmable and Software-Defined Networks: Bolstering the Path Towards 6G | arXiv | 2023 | Link |
| Energizing Federated Learning via Filter-Aware Attention | arXiv | 2023 | Link |
| Energy Prediction using Federated Learning | arXiv | 2023 | Link |
| Energy-Aware Federated Learning with Distributed User Sampling and Multichannel ALOHA | arXiv | 2023 | Link |
| Energy-Efficient and Real-Time Sensing for Federated Continual Learning via Sample-Driven Control | arXiv | 2023 | Link |
| Enhance Local Consistency in Federated Learning: A Multi-Step Inertial Momentum Approach | arXiv | 2023 | Link |
| Enhanced Federated Optimization: Adaptive Unbiased Client Sampling with Reduced Variance | arXiv | 2023 | Link |
| Enhanced Security with Encrypted Vision Transformer in Federated Learning | arXiv | 2023 | Link |
| Enhancing Clustered Federated Learning: Integration of Strategies and Improved Methodologies | arXiv | 2023 | Link |
| Enhancing Intrusion Detection In Internet Of Vehicles Through Federated Learning | arXiv | 2023 | Link |
| Enhancing Neural Training via a Correlated Dynamics Model | arXiv | 2023 | Link |
| Enhancing Reliability in Federated mmWave Networks: A Practical and Scalable Solution using Radar-Aided Dynamic Blockage Recognition | arXiv | 2023 | Link |
| Enhancing Scalability and Reliability in Semi-Decentralized Federated Learning With Blockchain: Trust Penalization and Asynchronous Functionality | arXiv | 2023 | Link |
| Ensemble Federated Learning: an approach for collaborative pneumonia diagnosis | arXiv | 2023 | Link |
| Entropy-driven Fair and Effective Federated Learning | arXiv | 2023 | Link |
| Environmental Considerations in the age of Space Exploration: the Conservation and Protection of Non-Earth Environments | arXiv | 2023 | Link |
| Epidemic Decision-making System Based Federated Reinforcement Learning | arXiv | 2023 | Link |
| Equipping Federated Graph Neural Networks with Structure-aware Group Fairness | arXiv | 2023 | Link |
| Equitable-FL: Federated Learning with Sparsity for Resource-Constrained Environment | arXiv | 2023 | Link |
| Escaping Saddle Points in Heterogeneous Federated Learning via Distributed SGD with Communication Compression | arXiv | 2023 | Link |
| Estimation and Testing of Forecast Rationality with Many Moments | arXiv | 2023 | Link |
| Ethics and Responsible AI Deployment | arXiv | 2023 | Link |
| Evaluating Multi-Global Server Architecture for Federated Learning | arXiv | 2023 | Link |
| Evaluating The Interference Potential in 6 GHz: An Extensive Measurement Campaign of A Dense Indoor Wi-Fi 6E Network | arXiv | 2023 | Link |
| Evaluating and Incentivizing Diverse Data Contributions in Collaborative Learning | arXiv | 2023 | Link |
| Evaluation of Link Traversal Query Execution over Decentralized Environments with Structural Assumptions | arXiv | 2023 | Link |
| Eventually-Consistent Federated Scheduling for Data Center Workloads | arXiv | 2023 | Link |
| Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction | arXiv | 2023 | Link |
| EvoFed: Leveraging Evolutionary Strategies for Communication-Efficient Federated Learning | arXiv | 2023 | Link |
| Exact Subspace Diffusion for Decentralized Multitask Learning | arXiv | 2023 | Link |
| Examining the Effect of Monetary Policy and Monetary Policy Uncertainty on Cryptocurrencies Market | arXiv | 2023 | Link |
| Experimental Evaluation of a Checklist-Based Inspection Technique to Verify the Compliance of Software Systems with the Brazilian General Data Protection Law | arXiv | 2023 | Link |
| Experimenting with Emerging RISC-V Systems for Decentralised Machine Learning | arXiv | 2023 | Link |
| Experimenting with Normalization Layers in Federated Learning on non-IID scenarios | arXiv | 2023 | Link |
| Explanation-Guided Fair Federated Learning for Transparent 6G RAN Slicing | arXiv | 2023 | Link |
| Explicit Personalization and Local Training: Double Communication Acceleration in Federated Learning | arXiv | 2023 | Link |
| Exploiting Label Skews in Federated Learning with Model Concatenation | arXiv | 2023 | Link |
| Exploring Antitrust and Platform Power in Generative AI | arXiv | 2023 | Link |
| Exploring Data Redundancy in Real-world Image Classification through Data Selection | arXiv | 2023 | Link |
| Exploring Distributions of House Prices and House Price Indices | arXiv | 2023 | Link |
| Exploring Federated Unlearning: Review, Comparison, and Insights | arXiv | 2023 | Link |
| Exploring Machine Learning Models for Federated Learning: A Review of Approaches, Performance, and Limitations | arXiv | 2023 | Link |
| Exploring One-shot Semi-supervised Federated Learning with A Pre-trained Diffusion Model | arXiv | 2023 | Link |
| Exploring adversarial attacks in federated learning for medical imaging | arXiv | 2023 | Link |
| Exploring and Enhancing Placement of IDS in RPL: A Federated Learning-based Approach | arXiv | 2023 | Link |
| Exploring the Privacy-Energy Consumption Tradeoff for Split Federated Learning | arXiv | 2023 | Link |
| Exploring the Robustness of Decentralized Training for Large Language Models | arXiv | 2023 | Link |
| FACT: Federated Adversarial Cross Training | arXiv | 2023 | Link |
| FAM: fast adaptive federated meta-learning | arXiv | 2023 | Link |
| FAMAC: A Federated Assisted Modified Actor-Critic Framework for Secured Energy Saving in 5G and Beyond Networks | arXiv | 2023 | Link |
| FATE-LLM: A Industrial Grade Federated Learning Framework for Large Language Models | arXiv | 2023 | Link |
| FAVANO: Federated AVeraging with Asynchronous NOdes | arXiv | 2023 | Link |
| FBChain: A Blockchain-based Federated Learning Model with Efficiency and Secure Communication | arXiv | 2023 | Link |
| FCA: Taming Long-tailed Federated Medical Image Classification by Classifier Anchoring | arXiv | 2023 | Link |
| FDAPT: Federated Domain-adaptive Pre-training for Language Models | arXiv | 2023 | Link |
| FGO-ILNS: Tightly Coupled Multi-Sensor Integrated Navigation System Based on Factor Graph Optimization for Autonomous Underwater Vehicle | arXiv | 2023 | Link |
| FLAIM: AIM-based Synthetic Data Generation in the Federated Setting | arXiv | 2023 | Link |
| FLARE: Detection and Mitigation of Concept Drift for Federated Learning based IoT Deployments | arXiv | 2023 | Link |
| FLASH-RL: Federated Learning Addressing System and Static Heterogeneity using Reinforcement Learning | arXiv | 2023 | Link |
| FLCC: Efficient Distributed Federated Learning on IoMT over CSMA/CA | arXiv | 2023 | Link |
| FLEDGE: Ledger-based Federated Learning Resilient to Inference and Backdoor Attacks | arXiv | 2023 | Link |
| FLEE-GNN: A Federated Learning System for Edge-Enhanced Graph Neural Network in Analyzing Geospatial Resilience of Multicommodity Food Flows | arXiv | 2023 | Link |
| FLEdge: Benchmarking Federated Machine Learning Applications in Edge Computing Systems | arXiv | 2023 | Link |
| FLGo: A Fully Customizable Federated Learning Platform | arXiv | 2023 | Link |
| FLINT: A Platform for Federated Learning Integration | arXiv | 2023 | Link |
| FLIPS: Federated Learning using Intelligent Participant Selection | arXiv | 2023 | Link |
| FLSTRA: Federated Learning in Stratosphere | arXiv | 2023 | Link |
| FLTracer: Accurate Poisoning Attack Provenance in Federated Learning | arXiv | 2023 | Link |
| FLea: Addressing Data Scarcity and Label Skew in Federated Learning via Privacy-preserving Feature Augmentation | arXiv | 2023 | Link |
| FLight: A Lightweight Federated Learning Framework in Edge and Fog Computing | arXiv | 2023 | Link |
| FLrce: Resource-Efficient Federated Learning with Early-Stopping Strategy | arXiv | 2023 | Link |
| FLuID: Mitigating Stragglers in Federated Learning using Invariant Dropout | arXiv | 2023 | Link |
| FP-Fed: Privacy-Preserving Federated Detection of Browser Fingerprinting | arXiv | 2023 | Link |
| FRAMU: Attention-based Machine Unlearning using Federated Reinforcement Learning | arXiv | 2023 | Link |
| FS-Real: Towards Real-World Cross-Device Federated Learning | arXiv | 2023 | Link |
| FSAR: Federated Skeleton-based Action Recognition with Adaptive Topology Structure and Knowledge Distillation | arXiv | 2023 | Link |
| FSSA: Efficient 3-Round Secure Aggregation for Privacy-Preserving Federated Learning | arXiv | 2023 | Link |
| FTA: Stealthy and Adaptive Backdoor Attack with Flexible Triggers on Federated Learning | arXiv | 2023 | Link |
| Fact-based Agent modeling for Multi-Agent Reinforcement Learning | arXiv | 2023 | Link |
| Factor-Assisted Federated Learning for Personalized Optimization with Heterogeneous Data | arXiv | 2023 | Link |
| Failure-Sentient Composition For Swarm-Based Drone Services | arXiv | 2023 | Link |
| Failure-tolerant Distributed Learning for Anomaly Detection in Wireless Networks | arXiv | 2023 | Link |
| Fair Differentially Private Federated Learning Framework | arXiv | 2023 | Link |
| Fair Federated Medical Image Segmentation via Client Contribution Estimation | arXiv | 2023 | Link |
| Fair Reward Distribution in Federated Byzantine Agreement Systems | arXiv | 2023 | Link |
| Fair Selection of Edge Nodes to Participate in Clustered Federated Multitask Learning | arXiv | 2023 | Link |
| Fair yet Asymptotically Equal Collaborative Learning | arXiv | 2023 | Link |
| Fairness and Privacy in Federated Learning and Their Implications in Healthcare | arXiv | 2023 | Link |
| Fairness-Aware Client Selection for Federated Learning | arXiv | 2023 | Link |
| Fairness-aware Federated Minimax Optimization with Convergence Guarantee | arXiv | 2023 | Link |
| Fake It Till Make It: Federated Learning with Consensus-Oriented Generation | arXiv | 2023 | Link |
| Fast FixMatch: Faster Semi-Supervised Learning with Curriculum Batch Size | arXiv | 2023 | Link |
| Fast Optimal Locally Private Mean Estimation via Random Projections | arXiv | 2023 | Link |
| Faster Federated Learning with Decaying Number of Local SGD Steps | arXiv | 2023 | Link |
| Faster Relative Entropy Coding with Greedy Rejection Coding | arXiv | 2023 | Link |
| Fault Detection in Telecom Networks using Bi-level Federated Graph Neural Networks | arXiv | 2023 | Link |
| FeDiSa: A Semi-asynchronous Federated Learning Framework for Power System Fault and Cyberattack Discrimination | arXiv | 2023 | Link |
| FeSViBS: Federated Split Learning of Vision Transformer with Block Sampling | arXiv | 2023 | Link |
| Feature Matching Data Synthesis for Non-IID Federated Learning | arXiv | 2023 | Link |
| Feature Norm Regularized Federated Learning: Transforming Skewed Distributions into Global Insights | arXiv | 2023 | Link |
| Fed-BioMed: Open, Transparent and Trusted Federated Learning for Real-world Healthcare Applications | arXiv | 2023 | Link |
| Fed-CO2: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning | arXiv | 2023 | Link |
| Fed-CPrompt: Contrastive Prompt for Rehearsal-Free Federated Continual Learning | arXiv | 2023 | Link |
| Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer | arXiv | 2023 | Link |
| Fed-LSAE: Thwarting Poisoning Attacks against Federated Cyber Threat Detection System via Autoencoder-based Latent Space Inspection | arXiv | 2023 | Link |
| Fed-MIWAE: Federated Imputation of Incomplete Data via Deep Generative Models | arXiv | 2023 | Link |
| Fed-QSSL: A Framework for Personalized Federated Learning under Bitwidth and Data Heterogeneity | arXiv | 2023 | Link |
| Fed-Safe: Securing Federated Learning in Healthcare Against Adversarial Attacks | arXiv | 2023 | Link |
| Fed-urlBERT: Client-side Lightweight Federated Transformers for URL Threat Analysis | arXiv | 2023 | Link |
| FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation Noise | arXiv | 2023 | Link |
| FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things | arXiv | 2023 | Link |
| FedAL: Black-Box Federated Knowledge Distillation Enabled by Adversarial Learning | arXiv | 2023 | Link |
| FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-aware Model Update | arXiv | 2023 | Link |
| FedAVO: Improving Communication Efficiency in Federated Learning with African Vultures Optimizer | arXiv | 2023 | Link |
| FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning | arXiv | 2023 | Link |
| FedAutoMRI: Federated Neural Architecture Search for MR Image Reconstruction | arXiv | 2023 | Link |
| FedBEVT: Federated Learning Bird's Eye View Perception Transformer in Road Traffic Systems | arXiv | 2023 | Link |
| FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models | arXiv | 2023 | Link |
| FedBayes: A Zero-Trust Federated Learning Aggregation to Defend Against Adversarial Attacks | arXiv | 2023 | Link |
| FedBlockHealth: A Synergistic Approach to Privacy and Security in IoT-Enabled Healthcare through Federated Learning and Blockchain | arXiv | 2023 | Link |
| FedBone: Towards Large-Scale Federated Multi-Task Learning | arXiv | 2023 | Link |
| FedBot: Enhancing Privacy in Chatbots with Federated Learning | arXiv | 2023 | Link |
| FedBug: A Bottom-Up Gradual Unfreezing Framework for Federated Learning | arXiv | 2023 | Link |
| FedCBO: Reaching Group Consensus in Clustered Federated Learning through Consensus-based Optimization | arXiv | 2023 | Link |
| FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning | arXiv | 2023 | Link |
| FedCME: Client Matching and Classifier Exchanging to Handle Data Heterogeneity in Federated Learning | arXiv | 2023 | Link |
| FedCPC: An Effective Federated Contrastive Learning Method for Privacy Preserving Early-Stage Alzheimer's Speech Detection | arXiv | 2023 | Link |
| FedCSD: A Federated Learning Based Approach for Code-Smell Detection | arXiv | 2023 | Link |
| FedCache: A Knowledge Cache-driven Federated Learning Architecture for Personalized Edge Intelligence | arXiv | 2023 | Link |
| FedChain: An Efficient and Secure Consensus Protocol based on Proof of Useful Federated Learning for Blockchain | arXiv | 2023 | Link |
| FedCiR: Client-Invariant Representation Learning for Federated Non-IID Features | arXiv | 2023 | Link |
| FedCliP: Federated Learning with Client Pruning | arXiv | 2023 | Link |
| FedCode: Communication-Efficient Federated Learning via Transferring Codebooks | arXiv | 2023 | Link |
| FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices using a Computing Power Aware Scheduler | arXiv | 2023 | Link |
| FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants | arXiv | 2023 | Link |
| FedDA: Faster Framework of Local Adaptive Gradient Methods via Restarted Dual Averaging | arXiv | 2023 | Link |
| FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning | arXiv | 2023 | Link |
| FedDCSR: Federated Cross-domain Sequential Recommendation via Disentangled Representation Learning | arXiv | 2023 | Link |
| FedDCT: A Dynamic Cross-Tier Federated Learning Framework in Wireless Networks | arXiv | 2023 | Link |
| FedDD: Toward Communication-efficient Federated Learning with Differential Parameter Dropout | arXiv | 2023 | Link |
| FedDMF: Privacy-Preserving User Attribute Prediction using Deep Matrix Factorization | arXiv | 2023 | Link |
| FedDRL: A Trustworthy Federated Learning Model Fusion Method Based on Staged Reinforcement Learning | arXiv | 2023 | Link |
| FedDRO: Federated Compositional Optimization for Distributionally Robust Learning | arXiv | 2023 | Link |
| FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment | arXiv | 2023 | Link |
| FedDec: Peer-to-peer Aided Federated Learning | arXiv | 2023 | Link |
| FedDefender: Backdoor Attack Defense in Federated Learning | arXiv | 2023 | Link |
| FedDiSC: A Computation-efficient Federated Learning Framework for Power Systems Disturbance and Cyber Attack Discrimination | arXiv | 2023 | Link |
| FedDiff: Diffusion Model Driven Federated Learning for Multi-Modal and Multi-Clients | arXiv | 2023 | Link |
| FedDisco: Federated Learning with Discrepancy-Aware Collaboration | arXiv | 2023 | Link |
| FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels | arXiv | 2023 | Link |
| FedDrive v2: an Analysis of the Impact of Label Skewness in Federated Semantic Segmentation for Autonomous Driving | arXiv | 2023 | Link |
| FedECA: Federated External Control Arms for Causal Inference with Time-To-Event Data in Distributed Settings | arXiv | 2023 | Link |
| FedET: A Communication-Efficient Federated Class-Incremental Learning Framework Based on Enhanced Transformer | arXiv | 2023 | Link |
| FedEdge AI-TC: A Semi-supervised Traffic Classification Method based on Trusted Federated Deep Learning for Mobile Edge Computing | arXiv | 2023 | Link |
| FedEmb: A Vertical and Hybrid Federated Learning Algorithm using Network And Feature Embedding Aggregation | arXiv | 2023 | Link |
| FedExP: Speeding Up Federated Averaging via Extrapolation | arXiv | 2023 | Link |
| FedFA: Federated Feature Augmentation | arXiv | 2023 | Link |
| FedFN: Feature Normalization for Alleviating Data Heterogeneity Problem in Federated Learning | arXiv | 2023 | Link |
| FedFNN: Faster Training Convergence Through Update Predictions in Federated Recommender Systems | arXiv | 2023 | Link |
| FedFTN: Personalized Federated Learning with Deep Feature Transformation Network for Multi-institutional Low-count PET Denoising | arXiv | 2023 | Link |
| FedFusion: Manifold Driven Federated Learning for Multi-satellite and Multi-modality Fusion | arXiv | 2023 | Link |
| FedFwd: Federated Learning without Backpropagation | arXiv | 2023 | Link |
| FedGH: Heterogeneous Federated Learning with Generalized Global Header | arXiv | 2023 | Link |
| FedGKD: Unleashing the Power of Collaboration in Federated Graph Neural Networks | arXiv | 2023 | Link |
| FedGSM: Efficient Federated Learning for LEO Constellations with Gradient Staleness Mitigation | arXiv | 2023 | Link |
| FedGT: Identification of Malicious Clients in Federated Learning with Secure Aggregation | arXiv | 2023 | Link |
| FedGeo: Privacy-Preserving User Next Location Prediction with Federated Learning | arXiv | 2023 | Link |
| FedGrad: Mitigating Backdoor Attacks in Federated Learning Through Local Ultimate Gradients Inspection | arXiv | 2023 | Link |
| FedHB: Hierarchical Bayesian Federated Learning | arXiv | 2023 | Link |
| FedHC: A Scalable Federated Learning Framework for Heterogeneous and Resource-Constrained Clients | arXiv | 2023 | Link |
| FedHCA$^2$: Towards Hetero-Client Federated Multi-Task Learning | arXiv | 2023 | Link |
| FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks | arXiv | 2023 | Link |
| FedHIL: Heterogeneity Resilient Federated Learning for Robust Indoor Localization with Mobile Devices | arXiv | 2023 | Link |
| FedHQL: Federated Heterogeneous Q-Learning | arXiv | 2023 | Link |
| FedHyper: A Universal and Robust Learning Rate Scheduler for Federated Learning with Hypergradient Descent | arXiv | 2023 | Link |
| FedICT: Federated Multi-task Distillation for Multi-access Edge Computing | arXiv | 2023 | Link |
| FedIL: Federated Incremental Learning from Decentralized Unlabeled Data with Convergence Analysis | arXiv | 2023 | Link |
| FedIN: Federated Intermediate Layers Learning for Model Heterogeneity | arXiv | 2023 | Link |
| FedJudge: Federated Legal Large Language Model | arXiv | 2023 | Link |
| FedL2P: Federated Learning to Personalize | arXiv | 2023 | Link |
| FedLALR: Client-Specific Adaptive Learning Rates Achieve Linear Speedup for Non-IID Data | arXiv | 2023 | Link |
| FedLAP-DP: Federated Learning by Sharing Differentially Private Loss Approximations | arXiv | 2023 | Link |
| FedLE: Federated Learning Client Selection with Lifespan Extension for Edge IoT Networks | arXiv | 2023 | Link |
| FedLED: Label-Free Equipment Fault Diagnosis with Vertical Federated Transfer Learning | arXiv | 2023 | Link |
| FedLP: Layer-wise Pruning Mechanism for Communication-Computation Efficient Federated Learning | arXiv | 2023 | Link |
| FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation | arXiv | 2023 | Link |
| FedMAE: Federated Self-Supervised Learning with One-Block Masked Auto-Encoder | arXiv | 2023 | Link |
| FedMEKT: Distillation-based Embedding Knowledge Transfer for Multimodal Federated Learning | arXiv | 2023 | Link |
| FedMFS: Federated Multimodal Fusion Learning with Selective Modality Communication | arXiv | 2023 | Link |
| FedMKGC: Privacy-Preserving Federated Multilingual Knowledge Graph Completion | arXiv | 2023 | Link |
| FedML Parrot: A Scalable Federated Learning System via Heterogeneity-aware Scheduling on Sequential and Hierarchical Training | arXiv | 2023 | Link |
| FedMS: Federated Learning with Mixture of Sparsely Activated Foundations Models | arXiv | 2023 | Link |
| FedMultimodal: A Benchmark For Multimodal Federated Learning | arXiv | 2023 | Link |
| FedNC: A Secure and Efficient Federated Learning Method with Network Coding | arXiv | 2023 | Link |
| FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity | arXiv | 2023 | Link |
| FedNoisy: Federated Noisy Label Learning Benchmark | arXiv | 2023 | Link |
| FedOpenHAR: Federated Multi-Task Transfer Learning for Sensor-Based Human Activity Recognition | arXiv | 2023 | Link |
| FedPDC:Federated Learning for Public Dataset Correction | arXiv | 2023 | Link |
| FedPEAT: Convergence of Federated Learning, Parameter-Efficient Fine Tuning, and Emulator Assisted Tuning for Artificial Intelligence Foundation Models with Mobile Edge Computing | arXiv | 2023 | Link |
| FedPH: Privacy-enhanced Heterogeneous Federated Learning | arXiv | 2023 | Link |
| FedPIDAvg: A PID controller inspired aggregation method for Federated Learning | arXiv | 2023 | Link |
| FedPNN: One-shot Federated Classification via Evolving Clustering Method and Probabilistic Neural Network hybrid | arXiv | 2023 | Link |
| FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation | arXiv | 2023 | Link |
| FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning | arXiv | 2023 | Link |
| FedPop: Federated Population-based Hyperparameter Tuning | arXiv | 2023 | Link |
| FedRA: A Random Allocation Strategy for Federated Tuning to Unleash the Power of Heterogeneous Clients | arXiv | 2023 | Link |
| FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering | arXiv | 2023 | Link |
| FedREP: A Byzantine-Robust, Communication-Efficient and Privacy-Preserving Framework for Federated Learning | arXiv | 2023 | Link |
| FedRec+: Enhancing Privacy and Addressing Heterogeneity in Federated Recommendation Systems | arXiv | 2023 | Link |
| FedRight: An Effective Model Copyright Protection for Federated Learning | arXiv | 2023 | Link |
| FedSDD: Scalable and Diversity-enhanced Distillation for Model Aggregation in Federated Learning | arXiv | 2023 | Link |
| FedSDG-FS: Efficient and Secure Feature Selection for Vertical Federated Learning | arXiv | 2023 | Link |
| FedSIS: Federated Split Learning with Intermediate Representation Sampling for Privacy-preserving Generalized Face Presentation Attack Detection | arXiv | 2023 | Link |
| FedSN: A Federated Learning Framework over Heterogeneous LEO Satellite Networks | arXiv | 2023 | Link |
| FedSODA: Federated Cross-assessment and Dynamic Aggregation for Histopathology Segmentation | arXiv | 2023 | Link |
| FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning | arXiv | 2023 | Link |
| FedSOV: Federated Model Secure Ownership Verification with Unforgeable Signature | arXiv | 2023 | Link |
| FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning | arXiv | 2023 | Link |
| FedSSC: Shared Supervised-Contrastive Federated Learning | arXiv | 2023 | Link |
| FedST: Secure Federated Shapelet Transformation for Time Series Classification | arXiv | 2023 | Link |
| FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications | arXiv | 2023 | Link |
| FedSampling: A Better Sampling Strategy for Federated Learning | arXiv | 2023 | Link |
| FedScore: A privacy-preserving framework for federated scoring system development | arXiv | 2023 | Link |
| FedSecurity: Benchmarking Attacks and Defenses in Federated Learning and Federated LLMs | arXiv | 2023 | Link |
| FedSelect: Customized Selection of Parameters for Fine-Tuning during Personalized Federated Learning | arXiv | 2023 | Link |
| FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model Interpolation | arXiv | 2023 | Link |
| FedSpectral+: Spectral Clustering using Federated Learning | arXiv | 2023 | Link |
| FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy | arXiv | 2023 | Link |
| FedSplitX: Federated Split Learning for Computationally-Constrained Heterogeneous Clients | arXiv | 2023 | Link |
| FedSym: Unleashing the Power of Entropy for Benchmarking the Algorithms for Federated Learning | arXiv | 2023 | Link |
| FedTherapist: Mental Health Monitoring with User-Generated Linguistic Expressions on Smartphones via Federated Learning | arXiv | 2023 | Link |
| FedTrip: A Resource-Efficient Federated Learning Method with Triplet Regularization | arXiv | 2023 | Link |
| FedVal: Different good or different bad in federated learning | arXiv | 2023 | Link |
| FedWOA: A Federated Learning Model that uses the Whale Optimization Algorithm for Renewable Energy Prediction | arXiv | 2023 | Link |
| FedWon: Triumphing Multi-domain Federated Learning Without Normalization | arXiv | 2023 | Link |
| FedYolo: Augmenting Federated Learning with Pretrained Transformers | arXiv | 2023 | Link |
| FedZKP: Federated Model Ownership Verification with Zero-knowledge Proof | arXiv | 2023 | Link |
| FedZeN: Towards superlinear zeroth-order federated learning via incremental Hessian estimation | arXiv | 2023 | Link |
| FedZero: Leveraging Renewable Excess Energy in Federated Learning | arXiv | 2023 | Link |
| Federated Active Learning for Target Domain Generalisation | arXiv | 2023 | Link |
| Federated Alternate Training (FAT): Leveraging Unannotated Data Silos in Federated Segmentation for Medical Imaging | arXiv | 2023 | Link |
| Federated Analytics: A survey | arXiv | 2023 | Link |
| Federated Automatic Differentiation | arXiv | 2023 | Link |
| Federated Battery Diagnosis and Prognosis | arXiv | 2023 | Link |
| Federated Causal Inference from Observational Data | arXiv | 2023 | Link |
| Federated Causality Learning with Explainable Adaptive Optimization | arXiv | 2023 | Link |
| Federated Cell-Free MIMO in Non-Terrestrial Networks: Architectures and Performance | arXiv | 2023 | Link |
| Federated Class-Incremental Learning with Prompting | arXiv | 2023 | Link |
| Federated Composite Saddle Point Optimization | arXiv | 2023 | Link |
| Federated Compositional Deep AUC Maximization | arXiv | 2023 | Link |
| Federated Conditional Stochastic Optimization | arXiv | 2023 | Link |
| Federated Conformal Predictors for Distributed Uncertainty Quantification | arXiv | 2023 | Link |
| Federated Continual Learning via Knowledge Fusion: A Survey | arXiv | 2023 | Link |
| Federated Continual Novel Class Learning | arXiv | 2023 | Link |
| Federated Covariate Shift Adaptation for Missing Target Output Values | arXiv | 2023 | Link |
| Federated Dataset Dictionary Learning for Multi-Source Domain Adaptation | arXiv | 2023 | Link |
| Federated Deep Equilibrium Learning: Harnessing Compact Global Representations to Enhance Personalization | arXiv | 2023 | Link |
| Federated Deep Learning for Intrusion Detection in IoT Networks | arXiv | 2023 | Link |
| Federated Deep Multi-View Clustering with Global Self-Supervision | arXiv | 2023 | Link |
| Federated Deep Reinforcement Learning for THz-Beam Search with Limited CSI | arXiv | 2023 | Link |
| Federated Deep Reinforcement Learning-based Bitrate Adaptation for Dynamic Adaptive Streaming over HTTP | arXiv | 2023 | Link |
| Federated Distributionally Robust Optimization with Non-Convex Objectives: Algorithm and Analysis | arXiv | 2023 | Link |
| Federated Domain Generalization: A Survey | arXiv | 2023 | Link |
| Federated Empirical Risk Minimization via Second-Order Method | arXiv | 2023 | Link |
| Federated Ensemble YOLOv5 -- A Better Generalized Object Detection Algorithm | arXiv | 2023 | Link |
| Federated Ensemble-Directed Offline Reinforcement Learning | arXiv | 2023 | Link |
| Federated Epidemic Surveillance | arXiv | 2023 | Link |
| Federated Experiment Design under Distributed Differential Privacy | arXiv | 2023 | Link |
| Federated Few-shot Learning | arXiv | 2023 | Link |
| Federated Few-shot Learning for Cough Classification with Edge Devices | arXiv | 2023 | Link |
| Federated Fine-Tuning of Foundation Models via Probabilistic Masking | arXiv | 2023 | Link |
| Federated Fine-Tuning of LLMs on the Very Edge: The Good, the Bad, the Ugly | arXiv | 2023 | Link |
| Federated Fog Computing for Remote Industry 4.0 Applications | arXiv | 2023 | Link |
| Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models | arXiv | 2023 | Link |
| Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes | arXiv | 2023 | Link |
| Federated Generalized Category Discovery | arXiv | 2023 | Link |
| Federated Generative Learning with Foundation Models | arXiv | 2023 | Link |
| Federated Gradient Matching Pursuit | arXiv | 2023 | Link |
| Federated Graph Learning for Low Probability of Detection in Wireless Ad-Hoc Networks | arXiv | 2023 | Link |
| Federated Heavy Hitter Recovery under Linear Sketching | arXiv | 2023 | Link |
| Federated Heterogeneous Graph Neural Network for Privacy-preserving Recommendation | arXiv | 2023 | Link |
| Federated Hyperdimensional Computing | arXiv | 2023 | Link |
| Federated Incremental Semantic Segmentation | arXiv | 2023 | Link |
| Federated Inference with Reliable Uncertainty Quantification over Wireless Channels via Conformal Prediction | arXiv | 2023 | Link |
| Federated K-Means Clustering via Dual Decomposition-based Distributed Optimization | arXiv | 2023 | Link |
| Federated K-means Clustering | arXiv | 2023 | Link |
| Federated Kalman Filter for Secure IoT-based Device Monitoring Services | arXiv | 2023 | Link |
| Federated Learning Across Decentralized and Unshared Archives for Remote Sensing Image Classification | arXiv | 2023 | Link |
| Federated Learning Approach for Distributed Ransomware Analysis | arXiv | 2023 | Link |
| Federated Learning Assisted Deep Q-Learning for Joint Task Offloading and Fronthaul Segment Routing in Open RAN | arXiv | 2023 | Link |
| Federated Learning Assisted Distributed Energy Optimization | arXiv | 2023 | Link |
| Federated Learning Based Distributed Localization of False Data Injection Attacks on Smart Grids | arXiv | 2023 | Link |
| Federated Learning Based Multilingual Emoji Prediction In Clean and Attack Scenarios | arXiv | 2023 | Link |
| Federated Learning Empowered by Generative Content | arXiv | 2023 | Link |
| Federated Learning Games for Reconfigurable Intelligent Surfaces via Causal Representations | arXiv | 2023 | Link |
| Federated Learning Incentive Mechanism under Buyers' Auction Market | arXiv | 2023 | Link |
| Federated Learning Model Aggregation in Heterogenous Aerial and Space Networks | arXiv | 2023 | Link |
| Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat | arXiv | 2023 | Link |
| Federated Learning Robust to Byzantine Attacks: Achieving Zero Optimality Gap | arXiv | 2023 | Link |
| Federated Learning Under Restricted User Availability | arXiv | 2023 | Link |
| Federated Learning While Providing Model as a Service: Joint Training and Inference Optimization | arXiv | 2023 | Link |
| Federated Learning and Blockchain-enabled Fog-IoT Platform for Wearables in Predictive Healthcare | arXiv | 2023 | Link |
| Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach | arXiv | 2023 | Link |
| Federated Learning as a Network Effects Game | arXiv | 2023 | Link |
| Federated Learning based Hierarchical 3D Indoor Localization | arXiv | 2023 | Link |
| Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights | arXiv | 2023 | Link |
| Federated Learning for ASR based on Wav2vec 2.0 | arXiv | 2023 | Link |
| Federated Learning for Clinical Structured Data: A Benchmark Comparison of Engineering and Statistical Approaches | arXiv | 2023 | Link |
| Federated Learning for Computationally-Constrained Heterogeneous Devices: A Survey | arXiv | 2023 | Link |
| Federated Learning for Computer Vision | arXiv | 2023 | Link |
| Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges | arXiv | 2023 | Link |
| Federated Learning for Data Streams | arXiv | 2023 | Link |
| Federated Learning for Data and Model Heterogeneity in Medical Imaging | arXiv | 2023 | Link |
| Federated Learning for Early Dropout Prediction on Healthy Ageing Applications | arXiv | 2023 | Link |
| Federated Learning for Energy Constrained IoT devices: A systematic mapping study | arXiv | 2023 | Link |
| Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark | arXiv | 2023 | Link |
| Federated Learning for Heterogeneous Bandits with Unobserved Contexts | arXiv | 2023 | Link |
| Federated Learning for Large-Scale Scene Modeling with Neural Radiance Fields | arXiv | 2023 | Link |
| Federated Learning for Medical Image Analysis: A Survey | arXiv | 2023 | Link |
| Federated Learning for Predictive Maintenance and Quality Inspection in Industrial Applications | arXiv | 2023 | Link |
| Federated Learning for Semantic Parsing: Task Formulation, Evaluation Setup, New Algorithms | arXiv | 2023 | Link |
| Federated Learning for Short Text Clustering | arXiv | 2023 | Link |
| Federated Learning for Sparse Principal Component Analysis | arXiv | 2023 | Link |
| Federated Learning for Water Consumption Forecasting in Smart Cities | arXiv | 2023 | Link |
| Federated Learning for Wireless Applications: A Prototype | arXiv | 2023 | Link |
| Federated Learning from Heterogeneous Data via Controlled Bayesian Air Aggregation | arXiv | 2023 | Link |
| Federated Learning in Big Model Era: Domain-Specific Multimodal Large Models | arXiv | 2023 | Link |
| Federated Learning in Competitive EV Charging Market | arXiv | 2023 | Link |
| Federated Learning in Intelligent Transportation Systems: Recent Applications and Open Problems | arXiv | 2023 | Link |
| Federated Learning in IoT: a Survey from a Resource-Constrained Perspective | arXiv | 2023 | Link |
| Federated Learning in MIMO Satellite Broadcast System | arXiv | 2023 | Link |
| Federated Learning in Temporal Heterogeneity | arXiv | 2023 | Link |
| Federated Learning in UAV-Enhanced Networks: Joint Coverage and Convergence Time Optimization | arXiv | 2023 | Link |
| Federated Learning in Wireless Networks via Over-the-Air Computations | arXiv | 2023 | Link |
| Federated Learning in the Presence of Adversarial Client Unavailability | arXiv | 2023 | Link |
| Federated Learning is Better with Non-Homomorphic Encryption | arXiv | 2023 | Link |
| Federated Learning of Gboard Language Models with Differential Privacy | arXiv | 2023 | Link |
| Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization | arXiv | 2023 | Link |
| Federated Learning of Medical Concepts Embedding using BEHRT | arXiv | 2023 | Link |
| Federated Learning of Models Pre-Trained on Different Features with Consensus Graphs | arXiv | 2023 | Link |
| Federated Learning of Shareable Bases for Personalization-Friendly Image Classification | arXiv | 2023 | Link |
| Federated Learning on Edge Sensing Devices: A Review | arXiv | 2023 | Link |
| Federated Learning on Non-iid Data via Local and Global Distillation | arXiv | 2023 | Link |
| Federated Learning on Patient Data for Privacy-Protecting Polycystic Ovary Syndrome Treatment | arXiv | 2023 | Link |
| Federated Learning on Virtual Heterogeneous Data with Local-global Distillation | arXiv | 2023 | Link |
| Federated Learning over Coupled Graphs | arXiv | 2023 | Link |
| Federated Learning over Harmonized Data Silos | arXiv | 2023 | Link |
| Federated Learning over Hierarchical Wireless Networks: Training Latency Minimization via Submodel Partitioning | arXiv | 2023 | Link |
| Federated Learning over a Wireless Network: Distributed User Selection through Random Access | arXiv | 2023 | Link |
| Federated Learning under Covariate Shifts with Generalization Guarantees | arXiv | 2023 | Link |
| Federated Learning under Heterogeneous and Correlated Client Availability | arXiv | 2023 | Link |
| Federated Learning via Active RIS Assisted Over-the-Air Computation | arXiv | 2023 | Link |
| Federated Learning via Consensus Mechanism on Heterogeneous Data: A New Perspective on Convergence | arXiv | 2023 | Link |
| Federated Learning via Indirect Server-Client Communications | arXiv | 2023 | Link |
| Federated Learning via Variational Bayesian Inference: Personalization, Sparsity and Clustering | arXiv | 2023 | Link |
| Federated Learning with Classifier Shift for Class Imbalance | arXiv | 2023 | Link |
| Federated Learning with Convex Global and Local Constraints | arXiv | 2023 | Link |
| Federated Learning with Diffusion Models for Privacy-Sensitive Vision Tasks | arXiv | 2023 | Link |
| Federated Learning with Extremely Noisy Clients via Negative Distillation | arXiv | 2023 | Link |
| Federated Learning with Instance-Dependent Noisy Label | arXiv | 2023 | Link |
| Federated Learning with Manifold Regularization and Normalized Update Reaggregation | arXiv | 2023 | Link |
| Federated Learning with Neural Graphical Models | arXiv | 2023 | Link |
| Federated Learning with Nonvacuous Generalisation Bounds | arXiv | 2023 | Link |
| Federated Learning with Projected Trajectory Regularization | arXiv | 2023 | Link |
| Federated Learning with Regularized Client Participation | arXiv | 2023 | Link |
| Federated Learning with Uncertainty-Based Client Clustering for Fleet-Wide Fault Diagnosis | arXiv | 2023 | Link |
| Federated Learning without Full Labels: A Survey | arXiv | 2023 | Link |
| Federated Learning-Empowered AI-Generated Content in Wireless Networks | arXiv | 2023 | Link |
| Federated Learning: A Cutting-Edge Survey of the Latest Advancements and Applications | arXiv | 2023 | Link |
| Federated Learning: Organizational Opportunities, Challenges, and Adoption Strategies | arXiv | 2023 | Link |
| Federated Linear Bandit Learning via Over-the-Air Computation | arXiv | 2023 | Link |
| Federated Linear Bandits with Finite Adversarial Actions | arXiv | 2023 | Link |
| Federated Linear Contextual Bandits with User-level Differential Privacy | arXiv | 2023 | Link |
| Federated Meta-Learning for Few-Shot Fault Diagnosis with Representation Encoding | arXiv | 2023 | Link |
| Federated Minimax Optimization with Client Heterogeneity | arXiv | 2023 | Link |
| Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image Classification | arXiv | 2023 | Link |
| Federated Multi-Agent Deep Reinforcement Learning for Dynamic and Flexible 3D Operation of 5G Multi-MAP Networks | arXiv | 2023 | Link |
| Federated Multi-Level Optimization over Decentralized Networks | arXiv | 2023 | Link |
| Federated Multi-Objective Learning | arXiv | 2023 | Link |
| Federated Multi-Sequence Stochastic Approximation with Local Hypergradient Estimation | arXiv | 2023 | Link |
| Federated Multi-View Synthesizing for Metaverse | arXiv | 2023 | Link |
| Federated Multilinear Principal Component Analysis with Applications in Prognostics | arXiv | 2023 | Link |
| Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning | arXiv | 2023 | Link |
| Federated Nearest Neighbor Machine Translation | arXiv | 2023 | Link |
| Federated Neural Compression Under Heterogeneous Data | arXiv | 2023 | Link |
| Federated Neural Radiance Fields | arXiv | 2023 | Link |
| Federated Neuro-Symbolic Learning | arXiv | 2023 | Link |
| Federated Object Detection for Quality Inspection in Shared Production | arXiv | 2023 | Link |
| Federated Offline Policy Learning | arXiv | 2023 | Link |
| Federated Online and Bandit Convex Optimization | arXiv | 2023 | Link |
| Federated Online/Offline Remote Data Inspection for Distributed Edge Computing | arXiv | 2023 | Link |
| Federated Orthogonal Training: Mitigating Global Catastrophic Forgetting in Continual Federated Learning | arXiv | 2023 | Link |
| Federated PAC-Bayesian Learning on Non-IID data | arXiv | 2023 | Link |
| Federated Primal Dual Fixed Point Algorithm | arXiv | 2023 | Link |
| Federated Privacy-preserving Collaborative Filtering for On-Device Next App Prediction | arXiv | 2023 | Link |
| Federated Prompt Learning for Weather Foundation Models on Devices | arXiv | 2023 | Link |
| Federated Prompting and Chain-of-Thought Reasoning for Improving LLMs Answering | arXiv | 2023 | Link |
| Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI Reconstruction | arXiv | 2023 | Link |
| Federated Q-Learning: Linear Regret Speedup with Low Communication Cost | arXiv | 2023 | Link |
| Federated Quantum Long Short-term Memory (FedQLSTM) | arXiv | 2023 | Link |
| Federated Radio Frequency Fingerprinting with Model Transfer and Adaptation | arXiv | 2023 | Link |
| Federated Recommendation with Additive Personalization | arXiv | 2023 | Link |
| Federated Reinforcement Learning for Electric Vehicles Charging Control on Distribution Networks | arXiv | 2023 | Link |
| Federated Reinforcement Learning for Resource Allocation in V2X Networks | arXiv | 2023 | Link |
| Federated Representation Learning for Automatic Speech Recognition | arXiv | 2023 | Link |
| Federated Self-Learning with Weak Supervision for Speech Recognition | arXiv | 2023 | Link |
| Federated Self-Supervised Learning of Monocular Depth Estimators for Autonomous Vehicles | arXiv | 2023 | Link |
| Federated Semi-Supervised Learning with Annotation Heterogeneity | arXiv | 2023 | Link |
| Federated Semi-Supervised and Semi-Asynchronous Learning for Anomaly Detection in IoT Networks | arXiv | 2023 | Link |
| Federated Short-Term Load Forecasting with Personalization Layers for Heterogeneous Clients | arXiv | 2023 | Link |
| Federated Skewed Label Learning with Logits Fusion | arXiv | 2023 | Link |
| Federated Split Learning with Only Positive Labels for resource-constrained IoT environment | arXiv | 2023 | Link |
| Federated Statistical Analysis: Non-parametric Testing and Quantile Estimation | arXiv | 2023 | Link |
| Federated Sufficient Dimension Reduction Through High-Dimensional Sparse Sliced Inverse Regression | arXiv | 2023 | Link |
| Federated Survival Forests | arXiv | 2023 | Link |
| Federated TD Learning over Finite-Rate Erasure Channels: Linear Speedup under Markovian Sampling | arXiv | 2023 | Link |
| Federated Temporal Difference Learning with Linear Function Approximation under Environmental Heterogeneity | arXiv | 2023 | Link |
| Federated Transfer-Ordered-Personalized Learning for Driver Monitoring Application | arXiv | 2023 | Link |
| Federated Transformed Learning for a Circular, Secure, and Tiny AI | arXiv | 2023 | Link |
| Federated Two Stage Decoupling With Adaptive Personalization Layers | arXiv | 2023 | Link |
| Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging | arXiv | 2023 | Link |
| Federated Variational Inference Methods for Structured Latent Variable Models | arXiv | 2023 | Link |
| Federated Variational Inference: Towards Improved Personalization and Generalization | arXiv | 2023 | Link |
| Federated Wasserstein Distance | arXiv | 2023 | Link |
| Federated Zeroth-Order Optimization using Trajectory-Informed Surrogate Gradients | arXiv | 2023 | Link |
| Federated and distributed learning applications for electronic health records and structured medical data: A scoping review | arXiv | 2023 | Link |
| Federated attention consistent learning models for prostate cancer diagnosis and Gleason grading | arXiv | 2023 | Link |
| Federated cINN Clustering for Accurate Clustered Federated Learning | arXiv | 2023 | Link |
| Federated learning compression designed for lightweight communications | arXiv | 2023 | Link |
| Federated learning for secure development of AI models for Parkinson's disease detection using speech from different languages | arXiv | 2023 | Link |
| Federated learning with differential privacy and an untrusted aggregator | arXiv | 2023 | Link |
| Federated learning-outcome prediction with multi-layer privacy protection | arXiv | 2023 | Link |
| FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning | arXiv | 2023 | Link |
| FederatedTrust: A Solution for Trustworthy Federated Learning | arXiv | 2023 | Link |
| FediOS: Decoupling Orthogonal Subspaces for Personalization in Feature-skew Federated Learning | arXiv | 2023 | Link |
| Fedstellar: A Platform for Decentralized Federated Learning | arXiv | 2023 | Link |
| Fedward: Flexible Federated Backdoor Defense Framework with Non-IID Data | arXiv | 2023 | Link |
| FilFL: Client Filtering for Optimized Client Participation in Federated Learning | arXiv | 2023 | Link |
| Filling the Missing: Exploring Generative AI for Enhanced Federated Learning over Heterogeneous Mobile Edge Devices | arXiv | 2023 | Link |
| FilterFL: Knowledge Filtering-based Data-Free Backdoor Defense for Federated Learning | arXiv | 2023 | Link |
| Finding Stakeholder-Material Information from 10-K Reports using Fine-Tuned BERT and LSTM Models | arXiv | 2023 | Link |
| Fingerprint Attack: Client De-Anonymization in Federated Learning | arXiv | 2023 | Link |
| Flame: Simplifying Topology Extension in Federated Learning | arXiv | 2023 | Link |
| FlexTrain: A Dynamic Training Framework for Heterogeneous Devices Environments | arXiv | 2023 | Link |
| Flexible Differentially Private Vertical Federated Learning with Adaptive Feature Embeddings | arXiv | 2023 | Link |
| Foreign participation in federal biddings: A quantitative approach using the procurement panel | arXiv | 2023 | Link |
| Forgettable Federated Linear Learning with Certified Data Unlearning | arXiv | 2023 | Link |
| Foundations of Quantum Federated Learning Over Classical and Quantum Networks | arXiv | 2023 | Link |
| FreqFed: A Frequency Analysis-Based Approach for Mitigating Poisoning Attacks in Federated Learning | arXiv | 2023 | Link |
| Frequency Modulation Aggregation for Federated Learning | arXiv | 2023 | Link |
| From Isolation to Collaboration: Federated Class-Heterogeneous Learning for Chest X-Ray Classification | arXiv | 2023 | Link |
| From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning | arXiv | 2023 | Link |
| Fully Robust Federated Submodel Learning in a Distributed Storage System | arXiv | 2023 | Link |
| Fusion of Global and Local Knowledge for Personalized Federated Learning | arXiv | 2023 | Link |
| FwdLLM: Efficient FedLLM using Forward Gradient | arXiv | 2023 | Link |
| G$^2$uardFL: Safeguarding Federated Learning Against Backdoor Attacks through Attributed Client Graph Clustering | arXiv | 2023 | Link |
| GLASU: A Communication-Efficient Algorithm for Federated Learning with Vertically Distributed Graph Data | arXiv | 2023 | Link |
| GNN4FR: A Lossless GNN-based Federated Recommendation Framework | arXiv | 2023 | Link |
| GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning | arXiv | 2023 | Link |
| GPFedRec: Graph-guided Personalization for Federated Recommendation | arXiv | 2023 | Link |
| GPT-FL: Generative Pre-trained Model-Assisted Federated Learning | arXiv | 2023 | Link |
| GQFedWAvg: Optimization-Based Quantized Federated Learning in General Edge Computing Systems | arXiv | 2023 | Link |
| Generalizability in Document Layout Analysis for Scientific Article Figure & Caption Extraction | arXiv | 2023 | Link |
| Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning | arXiv | 2023 | Link |
| Generalizable Learning Reconstruction for Accelerating MR Imaging via Federated Neural Architecture Search | arXiv | 2023 | Link |
| Genetic Algorithm-Based Dynamic Backdoor Attack on Federated Learning-Based Network Traffic Classification | arXiv | 2023 | Link |
| Germany's nationwide travel experiment in 2022: public transport for 9 Euro per month -- First findings of an empirical study | arXiv | 2023 | Link |
| Getting Trapped in Amazon's "Iliad Flow": A Foundation for the Temporal Analysis of Dark Patterns | arXiv | 2023 | Link |
| Give and Take: Federated Transfer Learning for Industrial IoT Network Intrusion Detection | arXiv | 2023 | Link |
| Global Differential Privacy for Distributed Metaverse Healthcare Systems | arXiv | 2023 | Link |
| Global Layers: Non-IID Tabular Federated Learning | arXiv | 2023 | Link |
| GoMORE: Global Model Reuse for Resource-Constrained Wireless Federated Learning | arXiv | 2023 | Link |
| Goal oriented indicators for food systems based on FAIR data | arXiv | 2023 | Link |
| Goal-Oriented Communications in Federated Learning via Feedback on Risk-Averse Participation | arXiv | 2023 | Link |
| Goal-Oriented Wireless Communication Resource Allocation for Cyber-Physical Systems | arXiv | 2023 | Link |
| Goal-oriented Communications for the IoT: System Design and Adaptive Resource Optimization | arXiv | 2023 | Link |
| GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic Forgetting | arXiv | 2023 | Link |
| Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential Privacy | arXiv | 2023 | Link |
| Gradient Sparsification for Efficient Wireless Federated Learning with Differential Privacy | arXiv | 2023 | Link |
| Gradient Tracking for High Dimensional Federated Optimization | arXiv | 2023 | Link |
| Gradient-less Federated Gradient Boosting Trees with Learnable Learning Rates | arXiv | 2023 | Link |
| Graph Federated Learning Based on the Decentralized Framework | arXiv | 2023 | Link |
| GraphGANFed: A Federated Generative Framework for Graph-Structured Molecules Towards Efficient Drug Discovery | arXiv | 2023 | Link |
| Greedy Shapley Client Selection for Communication-Efficient Federated Learning | arXiv | 2023 | Link |
| Green Federated Learning | arXiv | 2023 | Link |
| Green Federated Learning Over Cloud-RAN with Limited Fronthual Capacity and Quantized Neural Networks | arXiv | 2023 | Link |
| GreenLightningAI: An Efficient AI System with Decoupled Structural and Quantitative Knowledge | arXiv | 2023 | Link |
| Grounding Foundation Models through Federated Transfer Learning: A General Framework | arXiv | 2023 | Link |
| Guiding The Last Layer in Federated Learning with Pre-Trained Models | arXiv | 2023 | Link |
| HPN: Personalized Federated Hyperparameter Optimization | arXiv | 2023 | Link |
| Handling Data Heterogeneity via Architectural Design for Federated Visual Recognition | arXiv | 2023 | Link |
| Harnessing the Power of Federated Learning in Federated Contextual Bandits | arXiv | 2023 | Link |
| HasTEE: Programming Trusted Execution Environments with Haskell | arXiv | 2023 | Link |
| Have Your Cake and Eat It Too: Toward Efficient and Accurate Split Federated Learning | arXiv | 2023 | Link |
| Healthcare Security Breaches in the United States: Insights and their Socio-Technical Implications | arXiv | 2023 | Link |
| Heroes: Lightweight Federated Learning with Neural Composition and Adaptive Local Update in Heterogeneous Edge Networks | arXiv | 2023 | Link |
| HeteFedRec: Federated Recommender Systems with Model Heterogeneity | arXiv | 2023 | Link |
| Heterogeneity-Guided Client Sampling: Towards Fast and Efficient Non-IID Federated Learning | arXiv | 2023 | Link |
| Heterogeneous Datasets for Federated Survival Analysis Simulation | arXiv | 2023 | Link |
| Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning | arXiv | 2023 | Link |
| Heterogeneous Federated Learning Using Knowledge Codistillation | arXiv | 2023 | Link |
| Heterogeneous Federated Learning via Personalized Generative Networks | arXiv | 2023 | Link |
| Heterogeneous Federated Learning: State-of-the-art and Research Challenges | arXiv | 2023 | Link |
| Heterogeneous federated collaborative filtering using FAIR: Federated Averaging in Random Subspaces | arXiv | 2023 | Link |
| HiFlash: Communication-Efficient Hierarchical Federated Learning with Adaptive Staleness Control and Heterogeneity-aware Client-Edge Association | arXiv | 2023 | Link |
| Hide Your Model: A Parameter Transmission-free Federated Recommender System | arXiv | 2023 | Link |
| Hiding in Plain Sight: Disguising Data Stealing Attacks in Federated Learning | arXiv | 2023 | Link |
| Hierarchical Coded Gradient Aggregation Based on Layered MDS Codes | arXiv | 2023 | Link |
| Hierarchical Federated Learning Incentivization for Gas Usage Estimation | arXiv | 2023 | Link |
| Hierarchical Federated Learning in Wireless Networks: Pruning Tackles Bandwidth Scarcity and System Heterogeneity | arXiv | 2023 | Link |
| Hierarchical Optimization of Metaheuristic Algorithms and Federated Learning for Enhanced Capacity Management and Load Balancing in HetNets | arXiv | 2023 | Link |
| Hierarchical Personalized Federated Learning Over Massive Mobile Edge Computing Networks | arXiv | 2023 | Link |
| Hierarchical and Decentralised Federated Learning | arXiv | 2023 | Link |
| Hire When You Need to: Gradual Participant Recruitment for Auction-based Federated Learning | arXiv | 2023 | Link |
| Histopathological Image Classification and Vulnerability Analysis using Federated Learning | arXiv | 2023 | Link |
| Holistic analysis on the sustainability of Federated Learning across AI product lifecycle | arXiv | 2023 | Link |
| HoloFed: Environment-Adaptive Positioning via Multi-band Reconfigurable Holographic Surfaces and Federated Learning | arXiv | 2023 | Link |
| Homologically area-minimizing surfaces that cannot be calibrated | arXiv | 2023 | Link |
| Horizontal Federated Computer Vision | arXiv | 2023 | Link |
| Hotspot Prediction of Severe Traffic Accidents in the Federal District of Brazil | arXiv | 2023 | Link |
| How Robust is Federated Learning to Communication Error? A Comparison Study Between Uplink and Downlink Channels | arXiv | 2023 | Link |
| How do ASA Ethical Guidelines Support U.S. Guidelines for Official Statistics? | arXiv | 2023 | Link |
| Hybrid quantum image classification and federated learning for hepatic steatosis diagnosis | arXiv | 2023 | Link |
| HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning | arXiv | 2023 | Link |
| Hyperparameter Optimization through Neural Network Partitioning | arXiv | 2023 | Link |
| IODeep: an IOD for the introduction of deep learning in the DICOM standard | arXiv | 2023 | Link |
| IP-FL: Incentivized and Personalized Federated Learning | arXiv | 2023 | Link |
| IRS Assisted Federated Learning A Broadband Over-the-Air Aggregation Approach | arXiv | 2023 | Link |
| Image-Based Vehicle Classification by Synergizing Features from Supervised and Self-Supervised Learning Paradigms | arXiv | 2023 | Link |
| Impact of Economic Uncertainty, Geopolitical Risk, Pandemic, Financial & Macroeconomic Factors on Crude Oil Returns -- An Empirical Investigation | arXiv | 2023 | Link |
| Impacts of Differential Privacy on Fostering more Racially and Ethnically Diverse Elementary Schools | arXiv | 2023 | Link |
| Imperfect CSI: A Key Factor of Uncertainty to Over-the-Air Federated Learning | arXiv | 2023 | Link |
| Importance of Smoothness Induced by Optimizers in FL4ASR: Towards Understanding Federated Learning for End-to-End ASR | arXiv | 2023 | Link |
| Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates | arXiv | 2023 | Link |
| Improved Convergence Analysis and SNR Control Strategies for Federated Learning in the Presence of Noise | arXiv | 2023 | Link |
| Improving Accelerated Federated Learning with Compression and Importance Sampling | arXiv | 2023 | Link |
| Improving Communication Efficiency of Federated Distillation via Accumulating Local Updates | arXiv | 2023 | Link |
| Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods | arXiv | 2023 | Link |
| Improving Federated Aggregation with Deep Unfolding Networks | arXiv | 2023 | Link |
| Improving Machine Learning Robustness via Adversarial Training | arXiv | 2023 | Link |
| Improving Multiple Sclerosis Lesion Segmentation Across Clinical Sites: A Federated Learning Approach with Noise-Resilient Training | arXiv | 2023 | Link |
| In-Lab Implementation of DSRC PHY Layer | arXiv | 2023 | Link |
| Inapproximability of Maximum Diameter Clustering for Few Clusters | arXiv | 2023 | Link |
| Incentive Allocation in Vertical Federated Learning Based on Bankruptcy Problem | arXiv | 2023 | Link |
| Incentive Mechanism Design for Unbiased Federated Learning with Randomized Client Participation | arXiv | 2023 | Link |
| Incentivising the federation: gradient-based metrics for data selection and valuation in private decentralised training | arXiv | 2023 | Link |
| Incentivized Communication for Federated Bandits | arXiv | 2023 | Link |
| Incentivized Federated Learning and Unlearning | arXiv | 2023 | Link |
| Incentivizing Honesty among Competitors in Collaborative Learning and Optimization | arXiv | 2023 | Link |
| Inclusive Data Representation in Federated Learning: A Novel Approach Integrating Textual and Visual Prompt | arXiv | 2023 | Link |
| Incremental Semi-supervised Federated Learning for Health Inference via Mobile Sensing | arXiv | 2023 | Link |
| Inference for Low-rank Completion without Sample Splitting with Application to Treatment Effect Estimation | arXiv | 2023 | Link |
| Inflation Reduction Act impacts on the economics of clean hydrogen and liquid fuels | arXiv | 2023 | Link |
| Information-Theoretic Generalization Analysis for Topology-aware Heterogeneous Federated Edge Learning over Noisy Channels | arXiv | 2023 | Link |
| Information-Theoretically Private Federated Submodel Learning with Storage Constrained Databases | arXiv | 2023 | Link |
| Input Reconstruction Attack against Vertical Federated Large Language Models | arXiv | 2023 | Link |
| Institutionalization of Digital Trade in the Russian Federation: Countdown | arXiv | 2023 | Link |
| Integrated Sensing, Communication, and Computing for Cost-effective Multimodal Federated Perception | arXiv | 2023 | Link |
| Integrated Sensing, Computation, and Communication for UAV-assisted Federated Edge Learning | arXiv | 2023 | Link |
| Integrated Sensing-Communication-Computation for Edge Artificial Intelligence | arXiv | 2023 | Link |
| Integrating Local Real Data with Global Gradient Prototypes for Classifier Re-Balancing in Federated Long-Tailed Learning | arXiv | 2023 | Link |
| Integration of Large Language Models and Federated Learning | arXiv | 2023 | Link |
| Intelligent Client Selection for Federated Learning using Cellular Automata | arXiv | 2023 | Link |
| Internal Cross-layer Gradients for Extending Homogeneity to Heterogeneity in Federated Learning | arXiv | 2023 | Link |
| Internet of Federated Digital Twins (IoFDT): Connecting Twins Beyond Borders for Society 5.0 | arXiv | 2023 | Link |
| Introduction to Morrey spaces | arXiv | 2023 | Link |
| Intrusion Detection based on Federated Learning: a systematic review | arXiv | 2023 | Link |
| IoT Federated Blockchain Learning at the Edge | arXiv | 2023 | Link |
| IronForge: An Open, Secure, Fair, Decentralized Federated Learning | arXiv | 2023 | Link |
| Is 30 MHz Enough for C-V2X? | arXiv | 2023 | Link |
| Is Aggregation the Only Choice? Federated Learning via Layer-wise Model Recombination | arXiv | 2023 | Link |
| Jammer classification with Federated Learning | arXiv | 2023 | Link |
| Jamming Attacks on Decentralized Federated Learning in General Multi-Hop Wireless Networks | arXiv | 2023 | Link |
| Joint Age-based Client Selection and Resource Allocation for Communication-Efficient Federated Learning over NOMA Networks | arXiv | 2023 | Link |
| Joint Antenna Selection and Beamforming for Massive MIMO-enabled Over-the-Air Federated Learning | arXiv | 2023 | Link |
| Joint Client Assignment and UAV Route Planning for Indirect-Communication Federated Learning | arXiv | 2023 | Link |
| Joint Compression and Deadline Optimization for Wireless Federated Learning | arXiv | 2023 | Link |
| Joint Downlink-Uplink Beamforming for Wireless Multi-Antenna Federated Learning | arXiv | 2023 | Link |
| Joint Explainability and Sensitivity-Aware Federated Deep Learning for Transparent 6G RAN Slicing | arXiv | 2023 | Link |
| Joint Power Control and Data Size Selection for Over-the-Air Computation Aided Federated Learning | arXiv | 2023 | Link |
| Jointly Exploring Client Drift and Catastrophic Forgetting in Dynamic Learning | arXiv | 2023 | Link |
| Keep It Simple: Fault Tolerance Evaluation of Federated Learning with Unreliable Clients | arXiv | 2023 | Link |
| Kites and Quails: Monetary Policy and Communication with Strategic Financial Markets | arXiv | 2023 | Link |
| Knowledge Distillation in Federated Edge Learning: A Survey | arXiv | 2023 | Link |
| Knowledge Management in Socio-Economic Development of Municipal Units: Basic Concepts | arXiv | 2023 | Link |
| Knowledge Rumination for Client Utility Evaluation in Heterogeneous Federated Learning | arXiv | 2023 | Link |
| Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT | arXiv | 2023 | Link |
| L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning | arXiv | 2023 | Link |
| LEFL: Low Entropy Client Sampling in Federated Learning | arXiv | 2023 | Link |
| LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning | arXiv | 2023 | Link |
| LISA: LIghtweight single-server Secure Aggregation with a public source of randomness | arXiv | 2023 | Link |
| LOKI: Large-scale Data Reconstruction Attack against Federated Learning through Model Manipulation | arXiv | 2023 | Link |
| LR-XFL: Logical Reasoning-based Explainable Federated Learning | arXiv | 2023 | Link |
| Language-Guided Transformer for Federated Multi-Label Classification | arXiv | 2023 | Link |
| Large Language Models Empowered Autonomous Edge AI for Connected Intelligence | arXiv | 2023 | Link |
| Large-Scale Distributed Learning via Private On-Device Locality-Sensitive Hashing | arXiv | 2023 | Link |
| Layer-wise Linear Mode Connectivity | arXiv | 2023 | Link |
| LeFi: Learn to Incentivize Federated Learning in Automotive Edge Computing | arXiv | 2023 | Link |
| LePaRD: A Large-Scale Dataset of Judges Citing Precedents | arXiv | 2023 | Link |
| Learner Referral for Cost-Effective Federated Learning Over Hierarchical IoT Networks | arXiv | 2023 | Link |
| Learning Across Decentralized Multi-Modal Remote Sensing Archives with Federated Learning | arXiv | 2023 | Link |
| Learning Cautiously in Federated Learning with Noisy and Heterogeneous Clients | arXiv | 2023 | Link |
| Learning Driver Models for Automated Vehicles via Knowledge Sharing and Personalization | arXiv | 2023 | Link |
| Learning From Drift: Federated Learning on Non-IID Data via Drift Regularization | arXiv | 2023 | Link |
| Learning Personalized Brain Functional Connectivity of MDD Patients from Multiple Sites via Federated Bayesian Networks | arXiv | 2023 | Link |
| Learning to Backdoor Federated Learning | arXiv | 2023 | Link |
| Learning to Prompt Your Domain for Vision-Language Models | arXiv | 2023 | Link |
| Learning to Specialize: Joint Gating-Expert Training for Adaptive MoEs in Decentralized Settings | arXiv | 2023 | Link |
| Learning to Transmit with Provable Guarantees in Wireless Federated Learning | arXiv | 2023 | Link |
| LemonLDAP::NG -- A Full AAA Free Open Source WebSSO Solution | arXiv | 2023 | Link |
| Lessons from Generalization Error Analysis of Federated Learning: You May Communicate Less Often! | arXiv | 2023 | Link |
| Leveraging Foundation Models to Improve Lightweight Clients in Federated Learning | arXiv | 2023 | Link |
| Leveraging Function Space Aggregation for Federated Learning at Scale | arXiv | 2023 | Link |
| Leveraging Learning Metrics for Improved Federated Learning | arXiv | 2023 | Link |
| Little is Enough: Boosting Privacy by Sharing Only Hard Labels in Federated Semi-Supervised Learning | arXiv | 2023 | Link |
| Load and generation time series for German federal states: Static vs. dynamic regionalization factors | arXiv | 2023 | Link |
| Local Environment Poisoning Attacks on Federated Reinforcement Learning | arXiv | 2023 | Link |
| Local SGD Accelerates Convergence by Exploiting Second Order Information of the Loss Function | arXiv | 2023 | Link |
| Local or Global: Selective Knowledge Assimilation for Federated Learning with Limited Labels | arXiv | 2023 | Link |
| Locally Adaptive Federated Learning | arXiv | 2023 | Link |
| Low-Parameter Federated Learning with Large Language Models | arXiv | 2023 | Link |
| Lumos: Heterogeneity-aware Federated Graph Learning over Decentralized Devices | arXiv | 2023 | Link |
| M22: A Communication-Efficient Algorithm for Federated Learning Inspired by Rate-Distortion | arXiv | 2023 | Link |
| MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling | arXiv | 2023 | Link |
| MAS: Towards Resource-Efficient Federated Multiple-Task Learning | arXiv | 2023 | Link |
| MISA: Unveiling the Vulnerabilities in Split Federated Learning | arXiv | 2023 | Link |
| MLA-BIN: Model-level Attention and Batch-instance Style Normalization for Domain Generalization of Federated Learning on Medical Image Segmentation | arXiv | 2023 | Link |
| MP-FedCL: Multiprototype Federated Contrastive Learning for Edge Intelligence | arXiv | 2023 | Link |
| Machine Learning Infused Distributed Optimization for Coordinating Virtual Power Plant Assets | arXiv | 2023 | Link |
| Machine Learning for Large-Scale Optimization in 6G Wireless Networks | arXiv | 2023 | Link |
| Machine learning for sports betting: should model selection be based on accuracy or calibration? | arXiv | 2023 | Link |
| Magnitude Matters: Fixing SIGNSGD Through Magnitude-Aware Sparsification in the Presence of Data Heterogeneity | arXiv | 2023 | Link |
| Making Batch Normalization Great in Federated Deep Learning | arXiv | 2023 | Link |
| Making Changes in Webpages Discoverable: A Change-Text Search Interface for Web Archives | arXiv | 2023 | Link |
| Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures | arXiv | 2023 | Link |
| Markov Chain Mirror Descent On Data Federation | arXiv | 2023 | Link |
| Masked Autoencoders are Efficient Continual Federated Learners | arXiv | 2023 | Link |
| Maximizing Model Generalization for Machine Condition Monitoring with Self-Supervised Learning and Federated Learning | arXiv | 2023 | Link |
| Maximum Knowledge Orthogonality Reconstruction with Gradients in Federated Learning | arXiv | 2023 | Link |
| Measurement-Driven Design and Runtime Optimization in Edge Computing: Methodology and Tools | arXiv | 2023 | Link |
| Measuring Variety, Balance, and Disparity: An Analysis of Media Coverage of the 2021 German Federal Election | arXiv | 2023 | Link |
| Measuring the Prevalence of WiFi Bottlenecks in Home Access Networks | arXiv | 2023 | Link |
| Medical Federated Model with Mixture of Personalized and Sharing Components | arXiv | 2023 | Link |
| Memory-adaptive Depth-wise Heterogeneous Federated Learning | arXiv | 2023 | Link |
| MentalHealthAI: Utilizing Personal Health Device Data to Optimize Psychiatry Treatment | arXiv | 2023 | Link |
| MergeSFL: Split Federated Learning with Feature Merging and Batch Size Regulation | arXiv | 2023 | Link |
| Meta Federated Reinforcement Learning for Distributed Resource Allocation | arXiv | 2023 | Link |
| Methodology for measuring photonuclear reaction cross sections with an electron accelerator based on Bayesian analysis | arXiv | 2023 | Link |
| Methods for Integrating Trials and Non-Experimental Data to Examine Treatment Effect Heterogeneity | arXiv | 2023 | Link |
| MetisFL: An Embarrassingly Parallelized Controller for Scalable & Efficient Federated Learning Workflows | arXiv | 2023 | Link |
| MicroFog: A Framework for Scalable Placement of Microservices-based IoT Applications in Federated Fog Environments | arXiv | 2023 | Link |
| MimiC: Combating Client Dropouts in Federated Learning by Mimicking Central Updates | arXiv | 2023 | Link |
| Mind the Gap: Federated Learning Broadens Domain Generalization in Diagnostic AI Models | arXiv | 2023 | Link |
| Minimax Excess Risk of First-Order Methods for Statistical Learning with Data-Dependent Oracles | arXiv | 2023 | Link |
| Mithridates: Auditing and Boosting Backdoor Resistance of Machine Learning Pipelines | arXiv | 2023 | Link |
| Mitigating Backdoors in Federated Learning with FLD | arXiv | 2023 | Link |
| Mitigating Communications Threats in Decentralized Federated Learning through Moving Target Defense | arXiv | 2023 | Link |
| Mitigating Data Injection Attacks on Federated Learning | arXiv | 2023 | Link |
| Mitigating Group Bias in Federated Learning for Heterogeneous Devices | arXiv | 2023 | Link |
| Mitigating Group Bias in Federated Learning: Beyond Local Fairness | arXiv | 2023 | Link |
| Mixed-Precision Quantization for Federated Learning on Resource-Constrained Heterogeneous Devices | arXiv | 2023 | Link |
| Mobile Application for Oral Disease Detection using Federated Learning | arXiv | 2023 | Link |
| Mobility-Aware Joint User Scheduling and Resource Allocation for Low Latency Federated Learning | arXiv | 2023 | Link |
| Mobilizing Personalized Federated Learning in Infrastructure-Less and Heterogeneous Environments via Random Walk Stochastic ADMM | arXiv | 2023 | Link |
| Mode Connectivity and Data Heterogeneity of Federated Learning | arXiv | 2023 | Link |
| Model Extraction Attacks on Split Federated Learning | arXiv | 2023 | Link |
| Model Pruning Enables Localized and Efficient Federated Learning for Yield Forecasting and Data Sharing | arXiv | 2023 | Link |
| Model-Agnostic Federated Learning | arXiv | 2023 | Link |
| Model-Contrastive Federated Domain Adaptation | arXiv | 2023 | Link |
| Model-Driven Quantum Federated Learning (QFL) | arXiv | 2023 | Link |
| Model-aided Federated Reinforcement Learning for Multi-UAV Trajectory Planning in IoT Networks | arXiv | 2023 | Link |
| Model-based Federated Learning for Accurate MR Image Reconstruction from Undersampled k-space Data | arXiv | 2023 | Link |
| Model-free Learning with Heterogeneous Dynamical Systems: A Federated LQR Approach | arXiv | 2023 | Link |
| Modeling Supply and Demand in Public Transportation Systems | arXiv | 2023 | Link |
| Modeling Systemic Risk: A Time-Varying Nonparametric Causal Inference Framework | arXiv | 2023 | Link |
| Momentum Benefits Non-IID Federated Learning Simply and Provably | arXiv | 2023 | Link |
| Monetary Policy, Digital Assets, and DeFi Activity | arXiv | 2023 | Link |
| More Communication Does Not Result in Smaller Generalization Error in Federated Learning | arXiv | 2023 | Link |
| Mortality Rates of US Counties: Are they Reliable and Predictable? | arXiv | 2023 | Link |
| MrTF: Model Refinery for Transductive Federated Learning | arXiv | 2023 | Link |
| Multi-Carrier NOMA-Empowered Wireless Federated Learning with Optimal Power and Bandwidth Allocation | arXiv | 2023 | Link |
| Multi-Criteria Client Selection and Scheduling with Fairness Guarantee for Federated Learning Service | arXiv | 2023 | Link |
| Multi-FedLS: a Framework for Cross-Silo Federated Learning Applications on Multi-Cloud Environments | arXiv | 2023 | Link |
| Multi-Message Shuffled Privacy in Federated Learning | arXiv | 2023 | Link |
| Multi-Model Wireless Federated Learning with Downlink Beamforming | arXiv | 2023 | Link |
| Multi-Server Secure Aggregation with Unreliable Communication Links | arXiv | 2023 | Link |
| Multi-Session Budget Optimization for Forward Auction-based Federated Learning | arXiv | 2023 | Link |
| Multi-Site Clinical Federated Learning using Recursive and Attentive Models and NVFlare | arXiv | 2023 | Link |
| Multi-Source to Multi-Target Decentralized Federated Domain Adaptation | arXiv | 2023 | Link |
| Multi-Task Model Personalization for Federated Supervised SVM in Heterogeneous Networks | arXiv | 2023 | Link |
| Multi-Tier Client Selection for Mobile Federated Learning Networks | arXiv | 2023 | Link |
| Multi-Tier Hierarchical Federated Learning-assisted NTN for Intelligent IoT Services | arXiv | 2023 | Link |
| Multi-client distributed blind quantum computation with the Qline architecture | arXiv | 2023 | Link |
| Multi-dimensional Data Quick Query for Blockchain-based Federated Learning | arXiv | 2023 | Link |
| Multi-dimensional Fair Federated Learning | arXiv | 2023 | Link |
| Multi-metrics adaptively identifies backdoors in Federated learning | arXiv | 2023 | Link |
| Multi-site Organ Segmentation with Federated Partial Supervision and Site Adaptation | arXiv | 2023 | Link |
| Multimodal Federated Learning in Healthcare: a Review | arXiv | 2023 | Link |
| Multimodal Federated Learning via Contrastive Representation Ensemble | arXiv | 2023 | Link |
| Multimodal Multiple Federated Feature Construction Method for IoT Environments | arXiv | 2023 | Link |
| Multiply Robust Federated Estimation of Targeted Average Treatment Effects | arXiv | 2023 | Link |
| Navigating Data Heterogeneity in Federated Learning A Semi-Supervised Federated Object Detection | arXiv | 2023 | Link |
| NeFL: Nested Model Scaling for Federated Learning with System Heterogeneous Clients | arXiv | 2023 | Link |
| Near-Field Terahertz Communications: Model-Based and Model-Free Channel Estimation | arXiv | 2023 | Link |
| Near-Space Communications: the Last Piece of 6G Space-Air-Ground-Sea Integrated Network Puzzle | arXiv | 2023 | Link |
| Near-optimal Differentially Private Client Selection in Federated Settings | arXiv | 2023 | Link |
| Network Adaptive Federated Learning: Congestion and Lossy Compression | arXiv | 2023 | Link |
| Network Anomaly Detection Using Federated Learning | arXiv | 2023 | Link |
| Network-GIANT: Fully distributed Newton-type optimization via harmonic Hessian consensus | arXiv | 2023 | Link |
| Neural Collapse Inspired Federated Learning with Non-iid Data | arXiv | 2023 | Link |
| New Algorithms and Applications for Risk-Limiting Audits | arXiv | 2023 | Link |
| No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier | arXiv | 2023 | Link |
| No One Left Behind: Real-World Federated Class-Incremental Learning | arXiv | 2023 | Link |
| No prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation | arXiv | 2023 | Link |
| Now It Sounds Like You: Learning Personalized Vocabulary On Device | arXiv | 2023 | Link |
| OFDMA-F$^2$L: Federated Learning With Flexible Aggregation Over an OFDMA Air Interface | arXiv | 2023 | Link |
| OLYMPIA: A Simulation Framework for Evaluating the Concrete Scalability of Secure Aggregation Protocols | arXiv | 2023 | Link |
| On Differentially Private Federated Linear Contextual Bandits | arXiv | 2023 | Link |
| On Knowledge Editing in Federated Learning: Perspectives, Challenges, and Future Directions | arXiv | 2023 | Link |
| On guarded extensions of MMSNP | arXiv | 2023 | Link |
| On suspicious tracks: machine-learning based approaches to detect cartels in railway-infrastructure procurement | arXiv | 2023 | Link |
| On the Constrained Time-Series Generation Problem | arXiv | 2023 | Link |
| On the Contents and Utility of IoT Cybersecurity Guidelines | arXiv | 2023 | Link |
| On the Convergence of Decentralized Federated Learning Under Imperfect Information Sharing | arXiv | 2023 | Link |
| On the Convergence of Federated Averaging under Partial Participation for Over-parameterized Neural Networks | arXiv | 2023 | Link |
| On the Convergence of Federated Averaging with Cyclic Client Participation | arXiv | 2023 | Link |
| On the Distributed Evaluation of Generative Models | arXiv | 2023 | Link |
| On the Effect of Defections in Federated Learning and How to Prevent Them | arXiv | 2023 | Link |
| On the Efficacy of Differentially Private Few-shot Image Classification | arXiv | 2023 | Link |
| On the Fusion Strategies for Federated Decision Making | arXiv | 2023 | Link |
| On the Hardness of Robustness Transfer: A Perspective from Rademacher Complexity over Symmetric Difference Hypothesis Space | arXiv | 2023 | Link |
| On the Local Cache Update Rules in Streaming Federated Learning | arXiv | 2023 | Link |
| On the Potential of Artificial Intelligence Chatbots for Data Exploration of Federated Bioinformatics Knowledge Graphs | arXiv | 2023 | Link |
| On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond | arXiv | 2023 | Link |
| On the Role of 5G and Beyond Sidelink Communication in Multi-Hop Tactical Networks | arXiv | 2023 | Link |
| On the Role of Server Momentum in Federated Learning | arXiv | 2023 | Link |
| On the Vulnerability of Backdoor Defenses for Federated Learning | arXiv | 2023 | Link |
| On the dynamics of multi agent nonlinear filtering and learning | arXiv | 2023 | Link |
| On the privacy of federated Clustering: A Cryptographic View | arXiv | 2023 | Link |
| On the reach of isometric embeddings into Wasserstein type spaces | arXiv | 2023 | Link |
| On the road to more accurate mobile cellular traffic predictions | arXiv | 2023 | Link |
| On-Device Intelligence for 5G RAN: Knowledge Transfer and Federated Learning enabled UE-Centric Traffic Steering | arXiv | 2023 | Link |
| On-board Federated Learning for Satellite Clusters with Inter-Satellite Links | arXiv | 2023 | Link |
| One-Shot Federated Conformal Prediction | arXiv | 2023 | Link |
| One-Shot Federated Learning for LEO Constellations that Reduces Convergence Time from Days to 90 Minutes | arXiv | 2023 | Link |
| One-Shot Heterogeneous Federated Learning with Local Model-Guided Diffusion Models | arXiv | 2023 | Link |
| One-shot Empirical Privacy Estimation for Federated Learning | arXiv | 2023 | Link |
| Online Distributed Learning with Quantized Finite-Time Coordination | arXiv | 2023 | Link |
| Online Learning with Adversaries: A Differential-Inclusion Analysis | arXiv | 2023 | Link |
| Online SOC Estimation of Lithium-ion Battery Based on Improved Adaptive H Infinity Extended Kalman Filter | arXiv | 2023 | Link |
| Online Vertical Federated Learning for Cooperative Spectrum Sensing | arXiv | 2023 | Link |
| Open Problems in Applied Deep Learning | arXiv | 2023 | Link |
| Open-VERSO: a vision of 5G experimentation infrastructures, hurdles and challenges | arXiv | 2023 | Link |
| Opportunistic Transmission of Distributed Learning Models in Mobile UAVs | arXiv | 2023 | Link |
| Optimal Resource Management for Hierarchical Federated Learning over HetNets with Wireless Energy Transfer | arXiv | 2023 | Link |
| Optimization Design for Federated Learning in Heterogeneous 6G Networks | arXiv | 2023 | Link |
| Optimization of Federated Learning's Client Selection for Non-IID Data Based on Grey Relational Analysis | arXiv | 2023 | Link |
| Optimizing Federated Learning for Medical Image Classification on Distributed Non-iid Datasets with Partial Labels | arXiv | 2023 | Link |
| Optimizing Federated Learning in LEO Satellite Constellations via Intra-Plane Model Propagation and Sink Satellite Scheduling | arXiv | 2023 | Link |
| Optimizing Quantum Federated Learning Based on Federated Quantum Natural Gradient Descent | arXiv | 2023 | Link |
| Optimizing the Collaboration Structure in Cross-Silo Federated Learning | arXiv | 2023 | Link |
| OvarNet: Towards Open-vocabulary Object Attribute Recognition | arXiv | 2023 | Link |
| Over-The-Air Federated Learning: Status Quo, Open Challenges, and Future Directions | arXiv | 2023 | Link |
| Over-the-Air Computation Aided Federated Learning with the Aggregation of Normalized Gradient | arXiv | 2023 | Link |
| Over-the-Air Computation Empowered Federated Learning: A Joint Uplink-Downlink Design | arXiv | 2023 | Link |
| Over-the-Air Federated Edge Learning with Error-Feedback One-Bit Quantization and Power Control | arXiv | 2023 | Link |
| Over-the-Air Federated Learning Over MIMO Channels: A Sparse-Coded Multiplexing Approach | arXiv | 2023 | Link |
| Over-the-Air Federated Learning and Optimization | arXiv | 2023 | Link |
| Over-the-Air Federated Learning in MIMO Cloud-RAN Systems | arXiv | 2023 | Link |
| Over-the-Air Federated Learning in Satellite systems | arXiv | 2023 | Link |
| Over-the-Air Federated Learning with Compressed Sensing: Is Sparsification Necessary? | arXiv | 2023 | Link |
| Over-the-air Federated Policy Gradient | arXiv | 2023 | Link |
| Overcome Modal Bias in Multi-modal Federated Learning via Balanced Modality Selection | arXiv | 2023 | Link |
| P4L: Privacy Preserving Peer-to-Peer Learning for Infrastructureless Setups | arXiv | 2023 | Link |
| PADME-SoSci: A Platform for Analytics and Distributed Machine Learning for the Social Sciences | arXiv | 2023 | Link |
| PAGE: Equilibrate Personalization and Generalization in Federated Learning | arXiv | 2023 | Link |
| PCDP-SGD: Improving the Convergence of Differentially Private SGD via Projection in Advance | arXiv | 2023 | Link |
| PFL-GAN: When Client Heterogeneity Meets Generative Models in Personalized Federated Learning | arXiv | 2023 | Link |
| PFL-LSTR: A privacy-preserving framework for driver intention inference based on in-vehicle and out-vehicle information | arXiv | 2023 | Link |
| PFL: a Probabilistic Logic for Fault Trees | arXiv | 2023 | Link |
| PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark | arXiv | 2023 | Link |
| PFSL: Personalized & Fair Split Learning with Data & Label Privacy for thin clients | arXiv | 2023 | Link |
| PINE: Efficient Norm-Bound Verification for Secret-Shared Vectors | arXiv | 2023 | Link |
| PLMM: Personal Large Language Models on Mobile Devices | arXiv | 2023 | Link |
| PPFL: A Personalized Federated Learning Framework for Heterogeneous Population | arXiv | 2023 | Link |
| PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning | arXiv | 2023 | Link |
| PS-FedGAN: An Efficient Federated Learning Framework Based on Partially Shared Generative Adversarial Networks For Data Privacy | arXiv | 2023 | Link |
| Papaya: Federated Learning, but Fully Decentralized | arXiv | 2023 | Link |
| Parameter-Efficient Fine-Tuning without Introducing New Latency | arXiv | 2023 | Link |
| Partial Plateau's Problem with $H$-mass | arXiv | 2023 | Link |
| Partially Personalized Federated Learning: Breaking the Curse of Data Heterogeneity | arXiv | 2023 | Link |
| Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources | arXiv | 2023 | Link |
| PatternGPT :A Pattern-Driven Framework for Large Language Model Text Generation | arXiv | 2023 | Link |
| PeFLL: Personalized Federated Learning by Learning to Learn | arXiv | 2023 | Link |
| Peer-to-Peer Deep Learning for Beyond-5G IoT | arXiv | 2023 | Link |
| Peer-to-Peer Federated Continual Learning for Naturalistic Driving Action Recognition | arXiv | 2023 | Link |
| Pelta: Shielding Transformers to Mitigate Evasion Attacks in Federated Learning | arXiv | 2023 | Link |
| PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees | arXiv | 2023 | Link |
| PerFedRec++: Enhancing Personalized Federated Recommendation with Self-Supervised Pre-Training | arXiv | 2023 | Link |
| Performance Analysis and Evaluation of Post Quantum Secure Blockchained Federated Learning | arXiv | 2023 | Link |
| Performance Analysis for Resource Constrained Decentralized Federated Learning Over Wireless Networks | arXiv | 2023 | Link |
| Performance Improvement of Federated Learning Server using Smart NIC | arXiv | 2023 | Link |
| Performance evaluation of Private and Public Blockchains for multi-cloud service federation | arXiv | 2023 | Link |
| Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts | arXiv | 2023 | Link |
| PersonNeRF: Personalized Reconstruction from Photo Collections | arXiv | 2023 | Link |
| Personalised Federated Learning On Heterogeneous Feature Spaces | arXiv | 2023 | Link |
| Personalization Disentanglement for Federated Learning: An explainable perspective | arXiv | 2023 | Link |
| Personalized Decentralized Federated Learning with Knowledge Distillation | arXiv | 2023 | Link |
| Personalized Federated Deep Reinforcement Learning-based Trajectory Optimization for Multi-UAV Assisted Edge Computing | arXiv | 2023 | Link |
| Personalized Federated Domain Adaptation for Item-to-Item Recommendation | arXiv | 2023 | Link |
| Personalized Federated Learning on Long-Tailed Data via Adversarial Feature Augmentation | arXiv | 2023 | Link |
| Personalized Federated Learning under Mixture of Distributions | arXiv | 2023 | Link |
| Personalized Federated Learning via ADMM with Moreau Envelope | arXiv | 2023 | Link |
| Personalized Federated Learning via Amortized Bayesian Meta-Learning | arXiv | 2023 | Link |
| Personalized Federated Learning via Gradient Modulation for Heterogeneous Text Summarization | arXiv | 2023 | Link |
| Personalized Federated Learning with Attention-based Client Selection | arXiv | 2023 | Link |
| Personalized Federated Learning with Contextual Modulation and Meta-Learning | arXiv | 2023 | Link |
| Personalized Federated Learning with Feature Alignment and Classifier Collaboration | arXiv | 2023 | Link |
| Personalized Federated Learning with Local Attention | arXiv | 2023 | Link |
| Personalized Federated X -armed Bandit | arXiv | 2023 | Link |
| Personalized Graph Federated Learning with Differential Privacy | arXiv | 2023 | Link |
| Personalized Online Federated Learning with Multiple Kernels | arXiv | 2023 | Link |
| Personalized Privacy-Preserving Framework for Cross-Silo Federated Learning | arXiv | 2023 | Link |
| Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI | arXiv | 2023 | Link |
| Personalizing Federated Learning with Over-the-Air Computations | arXiv | 2023 | Link |
| Phoenix: A Federated Generative Diffusion Model | arXiv | 2023 | Link |
| Physics-Driven Spectrum-Consistent Federated Learning for Palmprint Verification | arXiv | 2023 | Link |
| Plug In and Learn: Federated Intelligence over a Smart Grid of Models | arXiv | 2023 | Link |
| PoFEL: Energy-efficient Consensus for Blockchain-based Hierarchical Federated Learning | arXiv | 2023 | Link |
| Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images | arXiv | 2023 | Link |
| Poisoning Attacks and Defenses in Federated Learning: A Survey | arXiv | 2023 | Link |
| Poisoning Attacks in Federated Edge Learning for Digital Twin 6G-enabled IoTs: An Anticipatory Study | arXiv | 2023 | Link |
| PolarAir: A Compressed Sensing Scheme for Over-the-Air Federated Learning | arXiv | 2023 | Link |
| Polarization in Decentralized Online Social Networks | arXiv | 2023 | Link |
| Policy Resilience to Environment Poisoning Attacks on Reinforcement Learning | arXiv | 2023 | Link |
| Pollen: High-throughput Federated Learning Simulation via Resource-Aware Client Placement | arXiv | 2023 | Link |
| Population Expansion for Training Language Models with Private Federated Learning | arXiv | 2023 | Link |
| Portfolio-Based Incentive Mechanism Design for Cross-Device Federated Learning | arXiv | 2023 | Link |
| Porównanie metod detekcji zajętości widma radiowego z wykorzystaniem uczenia federacyjnego z oraz bez węzła centralnego | arXiv | 2023 | Link |
| Post Quantum Secure Blockchain-based Federated Learning for Mobile Edge Computing | arXiv | 2023 | Link |
| Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment | arXiv | 2023 | Link |
| PrIeD-KIE: Towards Privacy Preserved Document Key Information Extraction | arXiv | 2023 | Link |
| Practical Privacy-Preserving Gaussian Process Regression via Secret Sharing | arXiv | 2023 | Link |
| Practical and General Backdoor Attacks against Vertical Federated Learning | arXiv | 2023 | Link |
| Preconditioned Federated Learning | arXiv | 2023 | Link |
| Preserving Specificity in Federated Graph Learning for fMRI-based Neurological Disorder Identification | arXiv | 2023 | Link |
| Price of Stability in Quality-Aware Federated Learning | arXiv | 2023 | Link |
| Price-Discrimination Game for Distributed Resource Management in Federated Learning | arXiv | 2023 | Link |
| Principled Federated Domain Adaptation: Gradient Projection and Auto-Weighting | arXiv | 2023 | Link |
| Privacy Amplification via Compression: Achieving the Optimal Privacy-Accuracy-Communication Trade-off in Distributed Mean Estimation | arXiv | 2023 | Link |
| Privacy Preservation in Artificial Intelligence and Extended Reality (AI-XR) Metaverses: A Survey | arXiv | 2023 | Link |
| Privacy Preserving Bayesian Federated Learning in Heterogeneous Settings | arXiv | 2023 | Link |
| Privacy Risks Analysis and Mitigation in Federated Learning for Medical Images | arXiv | 2023 | Link |
| Privacy Violations in Election Results | arXiv | 2023 | Link |
| Privacy and Fairness in Federated Learning: on the Perspective of Trade-off | arXiv | 2023 | Link |
| Privacy in Multimodal Federated Human Activity Recognition | arXiv | 2023 | Link |
| Privacy-Aware Document Visual Question Answering | arXiv | 2023 | Link |
| Privacy-Aware Energy Consumption Modeling of Connected Battery Electric Vehicles using Federated Learning | arXiv | 2023 | Link |
| Privacy-Enhancing Technologies in Federated Learning for the Internet of Healthcare Things: A Survey | arXiv | 2023 | Link |
| Privacy-Preserving Cooperative Visible Light Positioning for Nonstationary Environment: A Federated Learning Perspective | arXiv | 2023 | Link |
| Privacy-Preserving Federated Heavy Hitter Analytics for Non-IID Data | arXiv | 2023 | Link |
| Privacy-Preserving Federated Learning over Vertically and Horizontally Partitioned Data for Financial Anomaly Detection | arXiv | 2023 | Link |
| Privacy-Preserving Financial Anomaly Detection via Federated Learning & Multi-Party Computation | arXiv | 2023 | Link |
| Privacy-Preserving Model Aggregation for Asynchronous Federated Learning | arXiv | 2023 | Link |
| Privacy-Preserving Taxi-Demand Prediction Using Federated Learning | arXiv | 2023 | Link |
| Privacy-preserving Continual Federated Clustering via Adaptive Resonance Theory | arXiv | 2023 | Link |
| Privacy-preserving Federated Primal-dual Learning for Non-convex and Non-smooth Problems with Model Sparsification | arXiv | 2023 | Link |
| Privacy-preserving patient clustering for personalized federated learning | arXiv | 2023 | Link |
| Private Aggregation in Hierarchical Wireless Federated Learning with Partial and Full Collusion | arXiv | 2023 | Link |
| Private Federated Frequency Estimation: Adapting to the Hardness of the Instance | arXiv | 2023 | Link |
| Private Federated Learning in Gboard | arXiv | 2023 | Link |
| Private Federated Learning with Autotuned Compression | arXiv | 2023 | Link |
| Private Federated Learning with Dynamic Power Control via Non-Coherent Over-the-Air Computation | arXiv | 2023 | Link |
| Private Federated Submodel Learning via Private Set Union | arXiv | 2023 | Link |
| Private Networked Federated Learning for Nonsmooth Objectives | arXiv | 2023 | Link |
| Private Read Update Write (PRUW) With Heterogeneous Databases | arXiv | 2023 | Link |
| Privately Customizing Prefinetuning to Better Match User Data in Federated Learning | arXiv | 2023 | Link |
| Privately Policing Dark Patterns | arXiv | 2023 | Link |
| Privet: A Privacy-Preserving Vertical Federated Learning Service for Gradient Boosted Decision Tables | arXiv | 2023 | Link |
| Proactive Resource Request for Disaster Response: A Deep Learning-based Optimization Model | arXiv | 2023 | Link |
| Proceedings 11th International Workshop on Theorem Proving Components for Educational Software | arXiv | 2023 | Link |
| Proceedings 17th International Workshop on Logical and Semantic Frameworks with Applications | arXiv | 2023 | Link |
| Proceedings Twelfth International Workshop on Computing with Terms and Graphs | arXiv | 2023 | Link |
| Profit: Benchmarking Personalization and Robustness Trade-off in Federated Prompt Tuning | arXiv | 2023 | Link |
| Project Florida: Federated Learning Made Easy | arXiv | 2023 | Link |
| Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data | arXiv | 2023 | Link |
| Proof-of-Contribution-Based Design for Collaborative Machine Learning on Blockchain | arXiv | 2023 | Link |
| Proof-of-Federated-Learning-Subchain: Free Partner Selection Subchain Based on Federated Learning | arXiv | 2023 | Link |
| ProtoFL: Unsupervised Federated Learning via Prototypical Distillation | arXiv | 2023 | Link |
| Prototype of deployment of Federated Learning with IoT devices | arXiv | 2023 | Link |
| Provably Convergent Federated Trilevel Learning | arXiv | 2023 | Link |
| Provably Personalized and Robust Federated Learning | arXiv | 2023 | Link |
| Pure Exploration in Asynchronous Federated Bandits | arXiv | 2023 | Link |
| Q-SHED: Distributed Optimization at the Edge via Hessian Eigenvectors Quantization | arXiv | 2023 | Link |
| QMGeo: Differentially Private Federated Learning via Stochastic Quantization with Mixed Truncated Geometric Distribution | arXiv | 2023 | Link |
| Quality-Adaptive Split-Federated Learning for Segmenting Medical Images with Inaccurate Annotations | arXiv | 2023 | Link |
| Quantifying and Documenting Inequity in PhD-granting Mathematical Sciences Departments in the United States | arXiv | 2023 | Link |
| Quantum Federated Learning With Quantum Networks | arXiv | 2023 | Link |
| Quantum Federated Learning: Analysis, Design and Implementation Challenges | arXiv | 2023 | Link |
| QuickDrop: Efficient Federated Unlearning by Integrated Dataset Distillation | arXiv | 2023 | Link |
| REFT: Resource-Efficient Federated Training Framework for Heterogeneous and Resource-Constrained Environments | arXiv | 2023 | Link |
| REPA: Client Clustering without Training and Data Labels for Improved Federated Learning in Non-IID Settings | arXiv | 2023 | Link |
| REWAFL: Residual Energy and Wireless Aware Participant Selection for Efficient Federated Learning over Mobile Devices | arXiv | 2023 | Link |
| RHFedMTL: Resource-Aware Hierarchical Federated Multi-Task Learning | arXiv | 2023 | Link |
| RIS-Assisted Over-the-Air Adaptive Federated Learning with Noisy Downlink | arXiv | 2023 | Link |
| ROAR-Fed: RIS-Assisted Over-the-Air Adaptive Resource Allocation for Federated Learning | arXiv | 2023 | Link |
| ROSTAM: A Passwordless Web Single Sign-on Solution Mitigating Server Breaches and Integrating Credential Manager and Federated Identity Systems | arXiv | 2023 | Link |
| Racial Bias Trends in the Text of US Legal Opinions | arXiv | 2023 | Link |
| Racial and income-based affirmative action in higher education admissions: lessons from the Brazilian experience | arXiv | 2023 | Link |
| RaftFed: A Lightweight Federated Learning Framework for Vehicular Crowd Intelligence | arXiv | 2023 | Link |
| Randomized Block-Coordinate Optimistic Gradient Algorithms for Root-Finding Problems | arXiv | 2023 | Link |
| Randomized Quantization is All You Need for Differential Privacy in Federated Learning | arXiv | 2023 | Link |
| Ransomware Detection Using Federated Learning with Imbalanced Datasets | arXiv | 2023 | Link |
| Re-Weighted Softmax Cross-Entropy to Control Forgetting in Federated Learning | arXiv | 2023 | Link |
| Re-thinking Federated Active Learning based on Inter-class Diversity | arXiv | 2023 | Link |
| Recent Advances on Federated Learning: A Systematic Survey | arXiv | 2023 | Link |
| Recent Methodological Advances in Federated Learning for Healthcare | arXiv | 2023 | Link |
| Recent violent political extremist events in Brazil and epidemic modeling: The role of a SIS-like model on the understanding of spreading and control of radicalism | arXiv | 2023 | Link |
| Reconstructing Individual Data Points in Federated Learning Hardened with Differential Privacy and Secure Aggregation | arXiv | 2023 | Link |
| Recursive Euclidean Distance Based Robust Aggregation Technique For Federated Learning | arXiv | 2023 | Link |
| Redrawing the 2012 map of the Maryland congressional districts | arXiv | 2023 | Link |
| Reducing Communication for Split Learning by Randomized Top-k Sparsification | arXiv | 2023 | Link |
| Reducing Non-IID Effects in Federated Autonomous Driving with Contrastive Divergence Loss | arXiv | 2023 | Link |
| Reevaluating the Taylor Rule with Machine Learning | arXiv | 2023 | Link |
| Regret-Optimal Federated Transfer Learning for Kernel Regression with Applications in American Option Pricing | arXiv | 2023 | Link |
| Regularized Weight Aggregation in Networked Federated Learning for Glioblastoma Segmentation | arXiv | 2023 | Link |
| Regulating Clients' Noise Adding in Federated Learning without Verification | arXiv | 2023 | Link |
| Reinforcement Federated Learning Method Based on Adaptive OPTICS Clustering | arXiv | 2023 | Link |
| Reliable Federated Disentangling Network for Non-IID Domain Feature | arXiv | 2023 | Link |
| Remote patient monitoring using artificial intelligence: Current state, applications, and challenges | arXiv | 2023 | Link |
| Replica Tree-based Federated Learning using Limited Data | arXiv | 2023 | Link |
| Report of the DOE/NSF Workshop on Correctness in Scientific Computing, June 2023, Orlando, FL | arXiv | 2023 | Link |
| Reputation-Based Federated Learning Defense to Mitigate Threats in EEG Signal Classification | arXiv | 2023 | Link |
| Resilient Constrained Learning | arXiv | 2023 | Link |
| Resilient Control of Networked Microgrids using Vertical Federated Reinforcement Learning: Designs and Real-Time Test-Bed Validations | arXiv | 2023 | Link |
| Resilient Federated Learning under Byzantine Attack in Distributed Nonconvex Optimization with 2-f Redundancy | arXiv | 2023 | Link |
| Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective | arXiv | 2023 | Link |
| Resource Allocation of Federated Learning Assisted Mobile Augmented Reality System in the Metaverse | arXiv | 2023 | Link |
| Resource Aware Clustering for Tackling the Heterogeneity of Participants in Federated Learning | arXiv | 2023 | Link |
| Resource-Aware Hierarchical Federated Learning for Video Caching in Wireless Networks | arXiv | 2023 | Link |
| Resource-Efficient Federated Hyperdimensional Computing | arXiv | 2023 | Link |
| Rethinking Client Drift in Federated Learning: A Logit Perspective | arXiv | 2023 | Link |
| Rethinking Semi-Supervised Federated Learning: How to co-train fully-labeled and fully-unlabeled client imaging data | arXiv | 2023 | Link |
| Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks | arXiv | 2023 | Link |
| Revisiting Weighted Aggregation in Federated Learning with Neural Networks | arXiv | 2023 | Link |
| Revolutionizing Disease Diagnosis: A Microservices-Based Architecture for Privacy-Preserving and Efficient IoT Data Analytics Using Federated Learning | arXiv | 2023 | Link |
| Revolutionizing Wireless Networks with Federated Learning: A Comprehensive Review | arXiv | 2023 | Link |
| Reward Teaching for Federated Multi-armed Bandits | arXiv | 2023 | Link |
| RoboCupSoccer Review: The Goalkeeper, a Distinctive Player | arXiv | 2023 | Link |
| Robust Collaborative Inference with Vertically Split Data Over Dynamic Device Environments | arXiv | 2023 | Link |
| Robust Inference for Federated Meta-Learning | arXiv | 2023 | Link |
| Robust Knowledge Adaptation for Federated Unsupervised Person ReID | arXiv | 2023 | Link |
| Robust Networked Federated Learning for Localization | arXiv | 2023 | Link |
| Robust and Communication-Efficient Federated Domain Adaptation via Random Features | arXiv | 2023 | Link |
| Robust softmax aggregation on blockchain based federated learning with convergence guarantee | arXiv | 2023 | Link |
| Rule-based detection of access to education and training in Germany | arXiv | 2023 | Link |
| SGMFQP:An Ontology-based Swine Gut Microbiota Federated Query Platform | arXiv | 2023 | Link |
| SLPerf: a Unified Framework for Benchmarking Split Learning | arXiv | 2023 | Link |
| SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models | arXiv | 2023 | Link |
| SMPC-based Federated Learning for 6G enabled Internet of Medical Things | arXiv | 2023 | Link |
| SPFL: A Self-purified Federated Learning Method Against Poisoning Attacks | arXiv | 2023 | Link |
| SRATTA : Sample Re-ATTribution Attack of Secure Aggregation in Federated Learning | arXiv | 2023 | Link |
| STAR-RIS Assisted Over-the-Air Vertical Federated Learning in Multi-Cell Wireless Networks | arXiv | 2023 | Link |
| STDLens: Model Hijacking-Resilient Federated Learning for Object Detection | arXiv | 2023 | Link |
| SaFL: Sybil-aware Federated Learning with Application to Face Recognition | arXiv | 2023 | Link |
| SalientGrads: Sparse Models for Communication Efficient and Data Aware Distributed Federated Training | arXiv | 2023 | Link |
| Samplable Anonymous Aggregation for Private Federated Data Analysis | arXiv | 2023 | Link |
| Scaff-PD: Communication Efficient Fair and Robust Federated Learning | arXiv | 2023 | Link |
| Scalable Data Point Valuation in Decentralized Learning | arXiv | 2023 | Link |
| Scalable Federated Learning for Clients with Different Input Image Sizes and Numbers of Output Categories | arXiv | 2023 | Link |
| Scaling Survival Analysis in Healthcare with Federated Survival Forests: A Comparative Study on Heart Failure and Breast Cancer Genomics | arXiv | 2023 | Link |
| Scheduling and Communication Schemes for Decentralized Federated Learning | arXiv | 2023 | Link |
| Secure Aggregation with an Oblivious Server | arXiv | 2023 | Link |
| Secure Communication Model For Quantum Federated Learning: A Post Quantum Cryptography (PQC) Framework | arXiv | 2023 | Link |
| Secure Decentralized Learning with Blockchain | arXiv | 2023 | Link |
| Secure Federated Learning for Cognitive Radio Sensing | arXiv | 2023 | Link |
| Secure and Efficient Federated Learning in LEO Constellations using Decentralized Key Generation and On-Orbit Model Aggregation | arXiv | 2023 | Link |
| Secure and Fast Asynchronous Vertical Federated Learning via Cascaded Hybrid Optimization | arXiv | 2023 | Link |
| Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs | arXiv | 2023 | Link |
| Secure short-term load forecasting for smart grids with transformer-based federated learning | arXiv | 2023 | Link |
| SecureCut: Federated Gradient Boosting Decision Trees with Efficient Machine Unlearning | arXiv | 2023 | Link |
| Securely Aggregated Coded Matrix Inversion | arXiv | 2023 | Link |
| Securing Autonomous Air Traffic Management: Blockchain Networks Driven by Explainable AI | arXiv | 2023 | Link |
| Securing Distributed SGD against Gradient Leakage Threats | arXiv | 2023 | Link |
| Securing IoT Communication using Physical Sensor Data -- Graph Layer Security with Federated Multi-Agent Deep Reinforcement Learning | arXiv | 2023 | Link |
| Securing NextG Systems against Poisoning Attacks on Federated Learning: A Game-Theoretic Solution | arXiv | 2023 | Link |
| Seeing is Believing: A Federated Learning Based Prototype to Detect Wireless Injection Attacks | arXiv | 2023 | Link |
| SegViz: A federated-learning based framework for multi-organ segmentation on heterogeneous data sets with partial annotations | arXiv | 2023 | Link |
| Selected Topics of Social Physics: Equilibrium Systems | arXiv | 2023 | Link |
| Selected Topics of Social Physics: Nonequilibrium Systems | arXiv | 2023 | Link |
| Selecting the best compositions of a wheelchair basketball team: a data-driven approach | arXiv | 2023 | Link |
| Selective Knowledge Sharing for Privacy-Preserving Federated Distillation without A Good Teacher | arXiv | 2023 | Link |
| Self-Supervised Federated Learning for Fast MR Imaging | arXiv | 2023 | Link |
| SelfFed: Self-Supervised Federated Learning for Data Heterogeneity and Label Scarcity in Medical Images | arXiv | 2023 | Link |
| Semantic Programming for Device-Edge-Cloud Continuum | arXiv | 2023 | Link |
| Semi-Asynchronous Federated Edge Learning Mechanism via Over-the-air Computation | arXiv | 2023 | Link |
| Semi-Federated Learning for Collaborative Intelligence in Massive IoT Networks | arXiv | 2023 | Link |
| Semi-Federated Learning: Convergence Analysis and Optimization of A Hybrid Learning Framework | arXiv | 2023 | Link |
| Semi-Supervised Federated Learning for Keyword Spotting | arXiv | 2023 | Link |
| SemiSFL: Split Federated Learning on Unlabeled and Non-IID Data | arXiv | 2023 | Link |
| Sensitive Data Detection with High-Throughput Machine Learning Models in Electrical Health Records | arXiv | 2023 | Link |
| Sentinel: An Aggregation Function to Secure Decentralized Federated Learning | arXiv | 2023 | Link |
| Serverless Federated AUPRC Optimization for Multi-Party Collaborative Imbalanced Data Mining | arXiv | 2023 | Link |
| Serverless Federated Learning with flwr-serverless | arXiv | 2023 | Link |
| Sharper Convergence Guarantees for Federated Learning with Partial Model Personalization | arXiv | 2023 | Link |
| Shuffled Differentially Private Federated Learning for Time Series Data Analytics | arXiv | 2023 | Link |
| SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning | arXiv | 2023 | Link |
| Single-round Self-supervised Distributed Learning using Vision Transformer | arXiv | 2023 | Link |
| SkyMask: Attack-agnostic Robust Federated Learning with Fine-grained Learnable Masks | arXiv | 2023 | Link |
| Smart Policy Control for Securing Federated Learning Management System | arXiv | 2023 | Link |
| Smoothly Giving up: Robustness for Simple Models | arXiv | 2023 | Link |
| Smuche: Scalar-Multiplicative Caching in Homomorphic Encryption | arXiv | 2023 | Link |
| SoK: Assessing the State of Applied Federated Machine Learning | arXiv | 2023 | Link |
| Social Metaverse: Challenges and Solutions | arXiv | 2023 | Link |
| Solving a Class of Non-Convex Minimax Optimization in Federated Learning | arXiv | 2023 | Link |
| Sparse Decentralized Federated Learning | arXiv | 2023 | Link |
| Sparse Training for Federated Learning with Regularized Error Correction | arXiv | 2023 | Link |
| Spectrum Breathing: Protecting Over-the-Air Federated Learning Against Interference | arXiv | 2023 | Link |
| Speed Up Federated Learning in Heterogeneous Environment: A Dynamic Tiering Approach | arXiv | 2023 | Link |
| Split Federated Learning for 6G Enabled-Networks: Requirements, Challenges and Future Directions | arXiv | 2023 | Link |
| Split Federated Learning: Speed up Model Training in Resource-Limited Wireless Networks | arXiv | 2023 | Link |
| Split Learning for Distributed Collaborative Training of Deep Learning Models in Health Informatics | arXiv | 2023 | Link |
| Split Learning in 6G Edge Networks | arXiv | 2023 | Link |
| SplitFed resilience to packet loss: Where to split, that is the question | arXiv | 2023 | Link |
| Spoofing Against Spoofing: Towards Caller ID Verification In Heterogeneous Telecommunication Systems | arXiv | 2023 | Link |
| Square packings and rectifiable doubling measures | arXiv | 2023 | Link |
| Stabilizing and Improving Federated Learning with Non-IID Data and Client Dropout | arXiv | 2023 | Link |
| StableFDG: Style and Attention Based Learning for Federated Domain Generalization | arXiv | 2023 | Link |
| Starker Effekt von Schnelltests (Strong effect of rapid tests) | arXiv | 2023 | Link |
| Statistical properties and repetition rates for a quantum network with geographical distribution of nodes | arXiv | 2023 | Link |
| Statute-enhanced lexical retrieval of court cases for COLIEE 2022 | arXiv | 2023 | Link |
| Stochastic Clustered Federated Learning | arXiv | 2023 | Link |
| Stochastic Controlled Averaging for Federated Learning with Communication Compression | arXiv | 2023 | Link |
| Stochastic Smoothed Gradient Descent Ascent for Federated Minimax Optimization | arXiv | 2023 | Link |
| Stochastic Unrolled Federated Learning | arXiv | 2023 | Link |
| Straggler Mitigation and Latency Optimization in Blockchain-based Hierarchical Federated Learning | arXiv | 2023 | Link |
| Straggler-resilient Federated Learning: Tackling Computation Heterogeneity with Layer-wise Partial Model Training in Mobile Edge Network | arXiv | 2023 | Link |
| Strategic Data Revocation in Federated Unlearning | arXiv | 2023 | Link |
| Subspace based Federated Unlearning | arXiv | 2023 | Link |
| SuperFedNAS: Cost-Efficient Federated Neural Architecture Search for On-Device Inference | arXiv | 2023 | Link |
| Survey of Federated Learning Models for Spatial-Temporal Mobility Applications | arXiv | 2023 | Link |
| Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks | arXiv | 2023 | Link |
| Sustainable Edge Computing: Challenges and Future Directions | arXiv | 2023 | Link |
| Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation | arXiv | 2023 | Link |
| Synthetic data shuffling accelerates the convergence of federated learning under data heterogeneity | arXiv | 2023 | Link |
| Systematic discrepancies in the delivery of political ads on Facebook and Instagram | arXiv | 2023 | Link |
| TAMUNA: Doubly Accelerated Distributed Optimization with Local Training, Compression, and Partial Participation | arXiv | 2023 | Link |
| TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation | arXiv | 2023 | Link |
| TPMDP: Threshold Personalized Multi-party Differential Privacy via Optimal Gaussian Mechanism | arXiv | 2023 | Link |
| Tackling Computational Heterogeneity in FL: A Few Theoretical Insights | arXiv | 2023 | Link |
| Tackling Heterogeneity in Medical Federated learning via Vision Transformers | arXiv | 2023 | Link |
| Tackling Intertwined Data and Device Heterogeneities in Federated Learning with Unlimited Staleness | arXiv | 2023 | Link |
| Tackling the Non-IID Issue in Heterogeneous Federated Learning by Gradient Harmonization | arXiv | 2023 | Link |
| Take Your Pick: Enabling Effective Personalized Federated Learning within Low-dimensional Feature Space | arXiv | 2023 | Link |
| Taming Gradient Variance in Federated Learning with Networked Control Variates | arXiv | 2023 | Link |
| Taming Subnet-Drift in D2D-Enabled Fog Learning: A Hierarchical Gradient Tracking Approach | arXiv | 2023 | Link |
| Tangent Model Composition for Ensembling and Continual Fine-tuning | arXiv | 2023 | Link |
| Task-Oriented Communications for 6G: Vision, Principles, and Technologies | arXiv | 2023 | Link |
| Teaching control with Basic Maths: Introduction to Process Control course as a novel educational approach for undergraduate engineering programs | arXiv | 2023 | Link |
| TemporalFED: Detecting Cyberattacks in Industrial Time-Series Data Using Decentralized Federated Learning | arXiv | 2023 | Link |
| Text-driven Prompt Generation for Vision-Language Models in Federated Learning | arXiv | 2023 | Link |
| The Applicability of Federated Learning to Official Statistics | arXiv | 2023 | Link |
| The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation | arXiv | 2023 | Link |
| The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond | arXiv | 2023 | Link |
| The Capacity Region of Information Theoretic Secure Aggregation with Uncoded Groupwise Keys | arXiv | 2023 | Link |
| The Copycat Perceptron: Smashing Barriers Through Collective Learning | arXiv | 2023 | Link |
| The Fair Value of Data Under Heterogeneous Privacy Constraints in Federated Learning | arXiv | 2023 | Link |
| The Federal Reserve's Response to the Global Financial Crisis and Its Long-Term Impact: An Interrupted Time-Series Natural Experimental Analysis | arXiv | 2023 | Link |
| The Gift of Feedback: Improving ASR Model Quality by Learning from User Corrections through Federated Learning | arXiv | 2023 | Link |
| The Hidden Adversarial Vulnerabilities of Medical Federated Learning | arXiv | 2023 | Link |
| The Impact of Adversarial Node Placement in Decentralized Federated Learning Networks | arXiv | 2023 | Link |
| The Implications of Decentralization in Blockchained Federated Learning: Evaluating the Impact of Model Staleness and Inconsistencies | arXiv | 2023 | Link |
| The Intelligence College in Europe (ICE): An Effort to Create a European Intelligence Community | arXiv | 2023 | Link |
| The Landscape of Modern Machine Learning: A Review of Machine, Distributed and Federated Learning | arXiv | 2023 | Link |
| The Paradox of Noise: An Empirical Study of Noise-Infusion Mechanisms to Improve Generalization, Stability, and Privacy in Federated Learning | arXiv | 2023 | Link |
| The Prospect of Enhancing Large-Scale Heterogeneous Federated Learning with Transformers | arXiv | 2023 | Link |
| The Resource Problem of Using Linear Layer Leakage Attack in Federated Learning | arXiv | 2023 | Link |
| The Role of Federated Learning in a Wireless World with Foundation Models | arXiv | 2023 | Link |
| The Role of Net-Zero Energy Residential Buildings in Florida's Energy Transition: Economic Analysis and Technical Benefits | arXiv | 2023 | Link |
| The Virtual Research Environment: towards a comprehensive analysis platform | arXiv | 2023 | Link |
| The contribution of US broadband infrastructure subsidy and investment programs to GDP using input-output modeling | arXiv | 2023 | Link |
| Theoretical Analysis of Impact of Delayed Updates on Decentralized Federated Learning | arXiv | 2023 | Link |
| Theoretically Principled Federated Learning for Balancing Privacy and Utility | arXiv | 2023 | Link |
| Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts | arXiv | 2023 | Link |
| Time-sensitive Learning for Heterogeneous Federated Edge Intelligence | arXiv | 2023 | Link |
| Timely Asynchronous Hierarchical Federated Learning: Age of Convergence | arXiv | 2023 | Link |
| TimelyFL: Heterogeneity-aware Asynchronous Federated Learning with Adaptive Partial Training | arXiv | 2023 | Link |
| TinyMetaFed: Efficient Federated Meta-Learning for TinyML | arXiv | 2023 | Link |
| TinyReptile: TinyML with Federated Meta-Learning | arXiv | 2023 | Link |
| Too sick for surveillance: Can federal HIV service data improve federal HIV surveillance efforts? | arXiv | 2023 | Link |
| Topology Learning for Heterogeneous Decentralized Federated Learning over Unreliable D2D Networks | arXiv | 2023 | Link |
| Topology-Based Reconstruction Prevention for Decentralised Learning | arXiv | 2023 | Link |
| Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey | arXiv | 2023 | Link |
| Toward Scalable and Controllable AR Experimentation | arXiv | 2023 | Link |
| Toward Textual Internet Immunity | arXiv | 2023 | Link |
| Toward efficient resource utilization at edge nodes in federated learning | arXiv | 2023 | Link |
| Towards Achieving Near-optimal Utility for Privacy-Preserving Federated Learning via Data Generation and Parameter Distortion | arXiv | 2023 | Link |
| Towards Attack-tolerant Federated Learning via Critical Parameter Analysis | arXiv | 2023 | Link |
| Towards Avoiding the Data Mess: Industry Insights from Data Mesh Implementations | arXiv | 2023 | Link |
| Towards Benchmarking Power-Performance Characteristics of Federated Learning Clients | arXiv | 2023 | Link |
| Towards Bias Correction of FedAvg over Nonuniform and Time-Varying Communications | arXiv | 2023 | Link |
| Towards Bridging the FL Performance-Explainability Trade-Off: A Trustworthy 6G RAN Slicing Use-Case | arXiv | 2023 | Link |
| Towards Building the Federated GPT: Federated Instruction Tuning | arXiv | 2023 | Link |
| Towards Cooperative Federated Learning over Heterogeneous Edge/Fog Networks | arXiv | 2023 | Link |
| Towards Decentralized Predictive Quality of Service in Next-Generation Vehicular Networks | arXiv | 2023 | Link |
| Towards Energy-Aware Federated Traffic Prediction for Cellular Networks | arXiv | 2023 | Link |
| Towards Fair Graph Federated Learning via Incentive Mechanisms | arXiv | 2023 | Link |
| Towards Fair and Privacy Preserving Federated Learning for the Healthcare Domain | arXiv | 2023 | Link |
| Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models | arXiv | 2023 | Link |
| Towards Fast Personalized Semi-Supervised Federated Learning in Edge Networks: Algorithm Design and Theoretical Guarantee | arXiv | 2023 | Link |
| Towards Federated Learning Under Resource Constraints via Layer-wise Training and Depth Dropout | arXiv | 2023 | Link |
| Towards Instance-adaptive Inference for Federated Learning | arXiv | 2023 | Link |
| Towards Interpretable Federated Learning | arXiv | 2023 | Link |
| Towards More Suitable Personalization in Federated Learning via Decentralized Partial Model Training | arXiv | 2023 | Link |
| Towards Net-Zero Carbon Emissions in Network AI for 6G and Beyond | arXiv | 2023 | Link |
| Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives | arXiv | 2023 | Link |
| Towards Personalized Federated Learning via Heterogeneous Model Reassembly | arXiv | 2023 | Link |
| Towards Practical Federated Causal Structure Learning | arXiv | 2023 | Link |
| Towards Quantum Federated Learning | arXiv | 2023 | Link |
| Towards Real-World Burst Image Super-Resolution: Benchmark and Method | arXiv | 2023 | Link |
| Towards Realistic Mechanisms That Incentivize Federated Participation and Contribution | arXiv | 2023 | Link |
| Towards Reliable Participation in UAV-Enabled Federated Edge Learning on Non-IID Data | arXiv | 2023 | Link |
| Towards Scalable Wireless Federated Learning: Challenges and Solutions | arXiv | 2023 | Link |
| Towards Sybil Resilience in Decentralized Learning | arXiv | 2023 | Link |
| Towards Understanding Adversarial Transferability in Federated Learning | arXiv | 2023 | Link |
| Towards Understanding Generalization and Stability Gaps between Centralized and Decentralized Federated Learning | arXiv | 2023 | Link |
| Towards Zero-trust Security for the Metaverse | arXiv | 2023 | Link |
| Towards the Theory of Unsupervised Federated Learning: Non-asymptotic Analysis of Federated EM Algorithms | arXiv | 2023 | Link |
| TraceFL: Interpretability-Driven Debugging in Federated Learning via Neuron Provenance | arXiv | 2023 | Link |
| Tracing Influence at Scale: A Contrastive Learning Approach to Linking Public Comments and Regulator Responses | arXiv | 2023 | Link |
| Trade Privacy for Utility: A Learning-Based Privacy Pricing Game in Federated Learning | arXiv | 2023 | Link |
| Training Latency Minimization for Model-Splitting Allowed Federated Edge Learning | arXiv | 2023 | Link |
| Tram-FL: Routing-based Model Training for Decentralized Federated Learning | arXiv | 2023 | Link |
| Transforming U.S. agriculture with crushed rock for CO$_2$ sequestration and increased production | arXiv | 2023 | Link |
| Transparency and Privacy: The Role of Explainable AI and Federated Learning in Financial Fraud Detection | arXiv | 2023 | Link |
| Transporting treatment effects from difference-in-differences studies | arXiv | 2023 | Link |
| Trillion Dollar Words: A New Financial Dataset, Task & Market Analysis | arXiv | 2023 | Link |
| Trust-Worthy Semantic Communications for the Metaverse Relying on Federated Learning | arXiv | 2023 | Link |
| TrustFed: A Reliable Federated Learning Framework with Malicious-Attack Resistance | arXiv | 2023 | Link |
| Trustworthy Federated Learning: A Survey | arXiv | 2023 | Link |
| Trustworthy Privacy-preserving Hierarchical Ensemble and Federated Learning in Healthcare 4.0 with Blockchain | arXiv | 2023 | Link |
| Truthful Incentive Mechanism for Federated Learning with Crowdsourced Data Labeling | arXiv | 2023 | Link |
| Tunable Soft Prompts are Messengers in Federated Learning | arXiv | 2023 | Link |
| UFDA: Universal Federated Domain Adaptation with Practical Assumptions | arXiv | 2023 | Link |
| UFed-GAN: A Secure Federated Learning Framework with Constrained Computation and Unlabeled Data | arXiv | 2023 | Link |
| ULDP-FL: Federated Learning with Across Silo User-Level Differential Privacy | arXiv | 2023 | Link |
| UNIDEAL: Curriculum Knowledge Distillation Federated Learning | arXiv | 2023 | Link |
| UPFL: Unsupervised Personalized Federated Learning towards New Clients | arXiv | 2023 | Link |
| Uncovering Promises and Challenges of Federated Learning to Detect Cardiovascular Diseases: A Scoping Literature Review | arXiv | 2023 | Link |
| Understanding Generalization of Federated Learning via Stability: Heterogeneity Matters | arXiv | 2023 | Link |
| Understanding Hessian Alignment for Domain Generalization | arXiv | 2023 | Link |
| Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization | arXiv | 2023 | Link |
| Understanding and Improving Model Averaging in Federated Learning on Heterogeneous Data | arXiv | 2023 | Link |
| Understanding the Role of Layer Normalization in Label-Skewed Federated Learning | arXiv | 2023 | Link |
| Unifying and Personalizing Weakly-supervised Federated Medical Image Segmentation via Adaptive Representation and Aggregation | arXiv | 2023 | Link |
| Unimodal Training-Multimodal Prediction: Cross-modal Federated Learning with Hierarchical Aggregation | arXiv | 2023 | Link |
| Universal Adversarial Backdoor Attacks to Fool Vertical Federated Learning in Cloud-Edge Collaboration | arXiv | 2023 | Link |
| Unlocking the Potential of Collaborative AI -- On the Socio-technical Challenges of Federated Machine Learning | arXiv | 2023 | Link |
| Unlocking the Potential of Federated Learning for Deeper Models | arXiv | 2023 | Link |
| Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents | arXiv | 2023 | Link |
| Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning | arXiv | 2023 | Link |
| Unsourced Massive Access-Based Digital Over-the-Air Computation for Efficient Federated Edge Learning | arXiv | 2023 | Link |
| Unsupervised anomalies detection in IIoT edge devices networks using federated learning | arXiv | 2023 | Link |
| Unveiling Backdoor Risks Brought by Foundation Models in Heterogeneous Federated Learning | arXiv | 2023 | Link |
| Uplink Scheduling in Federated Learning: an Importance-Aware Approach via Graph Representation Learning | arXiv | 2023 | Link |
| Use of Federated Learning and Blockchain towards Securing Financial Services | arXiv | 2023 | Link |
| User Assignment and Resource Allocation for Hierarchical Federated Learning over Wireless Networks | arXiv | 2023 | Link |
| User-Centric Federated Learning: Trading off Wireless Resources for Personalization | arXiv | 2023 | Link |
| Utility-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning | arXiv | 2023 | Link |
| Utilizing Free Clients in Federated Learning for Focused Model Enhancement | arXiv | 2023 | Link |
| V2X-Boosted Federated Learning for Cooperative Intelligent Transportation Systems with Contextual Client Selection | arXiv | 2023 | Link |
| VARS: Video Assistant Referee System for Automated Soccer Decision Making from Multiple Views | arXiv | 2023 | Link |
| VERTICES: Efficient Two-Party Vertical Federated Linear Model with TTP-aided Secret Sharing | arXiv | 2023 | Link |
| VFLAIR: A Research Library and Benchmark for Vertical Federated Learning | arXiv | 2023 | Link |
| VREM-FL: Mobility-Aware Computation-Scheduling Co-Design for Vehicular Federated Learning | arXiv | 2023 | Link |
| Value of Information and Timing-aware Scheduling for Federated Learning | arXiv | 2023 | Link |
| Variance Reduced Distributed Non-Convex Optimization Using Matrix Stepsizes | arXiv | 2023 | Link |
| Vehicles Control: Collision Avoidance using Federated Deep Reinforcement Learning | arXiv | 2023 | Link |
| Verification and Validation of START: A Spent Nuclear Fuel Routing and Decision Support Tool | arXiv | 2023 | Link |
| Vers: fully distributed Coded Computing System with Distributed Encoding | arXiv | 2023 | Link |
| VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks | arXiv | 2023 | Link |
| Vertical Federated Graph Neural Network for Recommender System | arXiv | 2023 | Link |
| Vertical Federated Learning over Cloud-RAN: Convergence Analysis and System Optimization | arXiv | 2023 | Link |
| Vertical Federated Learning: Taxonomies, Threats, and Prospects | arXiv | 2023 | Link |
| VeryFL: A Verify Federated Learning Framework Embedded with Blockchain | arXiv | 2023 | Link |
| Vicinal Feature Statistics Augmentation for Federated 3D Medical Volume Segmentation | arXiv | 2023 | Link |
| Vision Through the Veil: Differential Privacy in Federated Learning for Medical Image Classification | arXiv | 2023 | Link |
| Visual Prompt Based Personalized Federated Learning | arXiv | 2023 | Link |
| Volatility jumps and the classification of monetary policy announcements | arXiv | 2023 | Link |
| Voting Booklet Bias: Stance Detection in Swiss Federal Communication | arXiv | 2023 | Link |
| Voyager: MTD-Based Aggregation Protocol for Mitigating Poisoning Attacks on DFL | arXiv | 2023 | Link |
| WIP: Federated Learning for Routing in Swarm Based Distributed Multi-Hop Networks | arXiv | 2023 | Link |
| WW-FL: Secure and Private Large-Scale Federated Learning | arXiv | 2023 | Link |
| WWFedCBMIR: World-Wide Federated Content-Based Medical Image Retrieval | arXiv | 2023 | Link |
| Welfare and Fairness Dynamics in Federated Learning: A Client Selection Perspective | arXiv | 2023 | Link |
| When Computing Power Network Meets Distributed Machine Learning: An Efficient Federated Split Learning Framework | arXiv | 2023 | Link |
| When Decentralized Optimization Meets Federated Learning | arXiv | 2023 | Link |
| When Federated Learning meets Watermarking: A Comprehensive Overview of Techniques for Intellectual Property Protection | arXiv | 2023 | Link |
| When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions | arXiv | 2023 | Link |
| When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions | arXiv | 2023 | Link |
| When MiniBatch SGD Meets SplitFed Learning:Convergence Analysis and Performance Evaluation | arXiv | 2023 | Link |
| When does the student surpass the teacher? Federated Semi-supervised Learning with Teacher-Student EMA | arXiv | 2023 | Link |
| When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning | arXiv | 2023 | Link |
| Where to Begin? From Random to Foundation Model Instructed Initialization in Federated Learning for Medical Image Segmentation | arXiv | 2023 | Link |
| Who Leaked the Model? Tracking IP Infringers in Accountable Federated Learning | arXiv | 2023 | Link |
| Whole-brain radiomics for clustered federated personalization in brain tumor segmentation | arXiv | 2023 | Link |
| Why Batch Normalization Damage Federated Learning on Non-IID Data? | arXiv | 2023 | Link |
| Window-based Model Averaging Improves Generalization in Heterogeneous Federated Learning | arXiv | 2023 | Link |
| Wireless Federated $k$-Means Clustering with Non-coherent Over-the-Air Computation | arXiv | 2023 | Link |
| Wirelessly Powered Federated Learning Networks: Joint Power Transfer, Data Sensing, Model Training, and Resource Allocation | arXiv | 2023 | Link |
| XFL: A High Performace, Lightweighted Federated Learning Framework | arXiv | 2023 | Link |
| XTab: Cross-table Pretraining for Tabular Transformers | arXiv | 2023 | Link |
| You Can Backdoor Personalized Federated Learning | arXiv | 2023 | Link |
| ZO-JADE: Zeroth-order Curvature-Aware Multi-Agent Convex Optimization | arXiv | 2023 | Link |
| Zero-touch realization of Pervasive Artificial Intelligence-as-a-service in 6G networks | arXiv | 2023 | Link |
| Zeroth-Order Federated Methods for Stochastic MPECs and Nondifferentiable Nonconvex Hierarchical Optimization | arXiv | 2023 | Link |
| Zone-based Federated Learning for Mobile Sensing Data | arXiv | 2023 | Link |
| ZooPFL: Exploring Black-box Foundation Models for Personalized Federated Learning | arXiv | 2023 | Link |
| martFL: Enabling Utility-Driven Data Marketplace with a Robust and Verifiable Federated Learning Architecture | arXiv | 2023 | Link |
| mmWave Beam Selection in Analog Beamforming Using Personalized Federated Learning | arXiv | 2023 | Link |
| pFedES: Model Heterogeneous Personalized Federated Learning with Feature Extractor Sharing | arXiv | 2023 | Link |
| pFedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning | arXiv | 2023 | Link |
| zkDFL: An efficient and privacy-preserving decentralized federated learning with zero-knowledge proof | arXiv | 2023 | Link |
| zkFL: Zero-Knowledge Proof-based Gradient Aggregation for Federated Learning | arXiv | 2023 | Link |
2022
| Title | Venue | Year | Link |
|---|---|---|---|
| "You Can't Fix What You Can't Measure": Privately Measuring Demographic Performance Disparities in Federated Learning | arXiv | 2022 | Link |
| (Im)possibility of Collective Intelligence | arXiv | 2022 | Link |
| A Closer Look at Personalization in Federated Image Classification | arXiv | 2022 | Link |
| A Coalition Formation Game Approach for Personalized Federated Learning | arXiv | 2022 | Link |
| A Communication-efficient Algorithm with Linear Convergence for Federated Minimax Learning | arXiv | 2022 | Link |
| A Comprehensive Review on Blockchains for Internet of Vehicles: Challenges and Directions | arXiv | 2022 | Link |
| A Comprehensive Survey on Federated Learning: Concept and Applications | arXiv | 2022 | Link |
| A Computation and Communication Efficient Method for Distributed Nonconvex Problems in the Partial Participation Setting | arXiv | 2022 | Link |
| A Contribution-based Device Selection Scheme in Federated Learning | arXiv | 2022 | Link |
| A Convergence Theory for Federated Average: Beyond Smoothness | arXiv | 2022 | Link |
| A Cross-City Federated Transfer Learning Framework: A Case Study on Urban Region Profiling | arXiv | 2022 | Link |
| A Demonstration of Over-the-Air Computation for Federated Edge Learning | arXiv | 2022 | Link |
| A Differentially Private Probabilistic Framework for Modeling the Variability Across Federated Datasets of Heterogeneous Multi-View Observations | arXiv | 2022 | Link |
| A Dynamic Weighted Federated Learning for Android Malware Classification | arXiv | 2022 | Link |
| A Fair Federated Learning Framework With Reinforcement Learning | arXiv | 2022 | Link |
| A Fair and Efficient Hybrid Federated Learning Framework based on XGBoost for Distributed Power Prediction | arXiv | 2022 | Link |
| A Fast Blockchain-based Federated Learning Framework with Compressed Communications | arXiv | 2022 | Link |
| A Federated Approach to Predicting Emojis in Hindi Tweets | arXiv | 2022 | Link |
| A Federated Cox Model with Non-Proportional Hazards | arXiv | 2022 | Link |
| A Federated DRL Approach for Smart Micro-Grid Energy Control with Distributed Energy Resources | arXiv | 2022 | Link |
| A Federated Learning Scheme for Neuro-developmental Disorders: Multi-Aspect ASD Detection | arXiv | 2022 | Link |
| A Federated Learning-enabled Smart Street Light Monitoring Application: Benefits and Future Challenges | arXiv | 2022 | Link |
| A Federated Reinforcement Learning Method with Quantization for Cooperative Edge Caching in Fog Radio Access Networks | arXiv | 2022 | Link |
| A Finite Blocklength Approach for Wireless Hierarchical Federated Learning in the Presence of Physical Layer Security | arXiv | 2022 | Link |
| A Framework for Verifiable and Auditable Federated Anomaly Detection | arXiv | 2022 | Link |
| A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates | arXiv | 2022 | Link |
| A Generative Framework for Personalized Learning and Estimation: Theory, Algorithms, and Privacy | arXiv | 2022 | Link |
| A Joint Framework to Privacy-Preserving Edge Intelligence in Vehicular Networks | arXiv | 2022 | Link |
| A Knowledge Distillation-Based Backdoor Attack in Federated Learning | arXiv | 2022 | Link |
| A Modified UDP for Federated Learning Packet Transmissions | arXiv | 2022 | Link |
| A Multi-agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning | arXiv | 2022 | Link |
| A New Hausdorff Content Bound for Limsup Sets | arXiv | 2022 | Link |
| A Penalty-Based Method for Communication-Efficient Decentralized Bilevel Programming | arXiv | 2022 | Link |
| A Practical Cross-Device Federated Learning Framework over 5G Networks | arXiv | 2022 | Link |
| A Primal-Dual Algorithm for Hybrid Federated Learning | arXiv | 2022 | Link |
| A Privacy-Preserving Subgraph-Level Federated Graph Neural Network via Differential Privacy | arXiv | 2022 | Link |
| A Re-analysis of Repeatability and Reproducibility in the Ames-USDOE-FBI Study | arXiv | 2022 | Link |
| A Review of Federated Learning in Energy Systems | arXiv | 2022 | Link |
| A Ring Topology-based Communication-Efficient Scheme for D2D Wireless Federated Learning | arXiv | 2022 | Link |
| A Secure Dynamic Edge Resource Federation Architecture for Cross-Domain IoT Systems | arXiv | 2022 | Link |
| A Secure Federated Data-Driven Evolutionary Multi-objective Optimization Algorithm | arXiv | 2022 | Link |
| A Secure Federated Learning Framework for Residential Short Term Load Forecasting | arXiv | 2022 | Link |
| A Secure Healthcare 5.0 System Based on Blockchain Technology Entangled with Federated Learning Technique | arXiv | 2022 | Link |
| A Secure and Efficient Federated Learning Framework for NLP | arXiv | 2022 | Link |
| A Simple and Provably Efficient Algorithm for Asynchronous Federated Contextual Linear Bandits | arXiv | 2022 | Link |
| A Smart Contract based Crowdfunding Mechanism for Hierarchical Federated Learning | arXiv | 2022 | Link |
| A Snapshot of the Frontiers of Client Selection in Federated Learning | arXiv | 2022 | Link |
| A Survey on Federated Recommendation Systems | arXiv | 2022 | Link |
| A Survey on Heterogeneous Federated Learning | arXiv | 2022 | Link |
| A Survey on Offloading in Federated Cloud-Edge-Fog Systems with Traditional Optimization and Machine Learning | arXiv | 2022 | Link |
| A Survey on Participant Selection for Federated Learning in Mobile Networks | arXiv | 2022 | Link |
| A Systematic Literature Review on Blockchain Enabled Federated Learning Framework for Internet of Vehicles | arXiv | 2022 | Link |
| A Two-Stage Federated Transfer Learning Framework in Medical Images Classification on Limited Data: A COVID-19 Case Study | arXiv | 2022 | Link |
| A Unified Analysis of Federated Learning with Arbitrary Client Participation | arXiv | 2022 | Link |
| A Unified Filter for Fusion of Multiple Inertial Measurement Units | arXiv | 2022 | Link |
| A case study of proactive auto-scaling for an ecommerce workload | arXiv | 2022 | Link |
| A dual approach for federated learning | arXiv | 2022 | Link |
| A geospatial source selector for federated GeoSPARQL querying | arXiv | 2022 | Link |
| A nation-wide experiment: fuel tax cuts and almost free public transport for three months in Germany -- Report 1 Study design, recruiting and participation | arXiv | 2022 | Link |
| A nation-wide experiment: fuel tax cuts and almost free public transport for three months in Germany -- Report 2 First wave results | arXiv | 2022 | Link |
| A nation-wide experiment: fuel tax cuts and almost free public transport for three months in Germany -- Report 3 Second wave results | arXiv | 2022 | Link |
| A nation-wide experiment: fuel tax cuts and almost free public transport for three months in Germany -- Report 4 Third wave results | arXiv | 2022 | Link |
| A nation-wide experiment: fuel tax cuts and almost free public transport for three months in Germany -- Report 5 Insights into four months of mobility tracking | arXiv | 2022 | Link |
| A note on independent sets in sparse-dense graphs | arXiv | 2022 | Link |
| A review of Federated Learning in Intrusion Detection Systems for IoT | arXiv | 2022 | Link |
| A simple declarative model of the Federal Disaster Assistance Policy -- modelling and measuring transparency | arXiv | 2022 | Link |
| A survey of the European Open Science Cloud services for expanding the capacity and capabilities of multidisciplinary scientific applications | arXiv | 2022 | Link |
| A visualization tool for data analysis on higher education dropout: a case study at UFES | arXiv | 2022 | Link |
| A-LAQ: Adaptive Lazily Aggregated Quantized Gradient | arXiv | 2022 | Link |
| ABG: A Multi-Party Mixed Protocol Framework for Privacy-Preserving Cooperative Learning | arXiv | 2022 | Link |
| ABL: An original active blacklist based on a modification of the SMTP | arXiv | 2022 | Link |
| ADI: Adversarial Dominating Inputs in Vertical Federated Learning Systems | arXiv | 2022 | Link |
| AFAFed -- Protocol analysis | arXiv | 2022 | Link |
| AFLGuard: Byzantine-robust Asynchronous Federated Learning | arXiv | 2022 | Link |
| AI Approaches in Processing and Using Data in Personalized Medicine | arXiv | 2022 | Link |
| AI Security for Geoscience and Remote Sensing: Challenges and Future Trends | arXiv | 2022 | Link |
| APPFL: Open-Source Software Framework for Privacy-Preserving Federated Learning | arXiv | 2022 | Link |
| APPFLChain: A Privacy Protection Distributed Artificial-Intelligence Architecture Based on Federated Learning and Consortium Blockchain | arXiv | 2022 | Link |
| ATEAM: Knowledge Integration from Federated Datasets for Vehicle Feature Extraction using Annotation Team of Experts | arXiv | 2022 | Link |
| AVDDPG: Federated reinforcement learning applied to autonomous platoon control | arXiv | 2022 | Link |
| Abnormal Local Clustering in Federated Learning | arXiv | 2022 | Link |
| Accelerating Asynchronous Federated Learning Convergence via Opportunistic Mobile Relaying | arXiv | 2022 | Link |
| Accelerating Federated Edge Learning via Topology Optimization | arXiv | 2022 | Link |
| Accelerating Vertical Federated Learning | arXiv | 2022 | Link |
| Access Trends of In-network Cache for Scientific Data | arXiv | 2022 | Link |
| Achieving Fairness in Dermatological Disease Diagnosis through Automatic Weight Adjusting Federated Learning and Personalization | arXiv | 2022 | Link |
| Achieving Personalized Federated Learning with Sparse Local Models | arXiv | 2022 | Link |
| Adap DP-FL: Differentially Private Federated Learning with Adaptive Noise | arXiv | 2022 | Link |
| Adaptive Aggregation For Federated Learning | arXiv | 2022 | Link |
| Adaptive Configuration for Heterogeneous Participants in Decentralized Federated Learning | arXiv | 2022 | Link |
| Adaptive Control of Client Selection and Gradient Compression for Efficient Federated Learning | arXiv | 2022 | Link |
| Adaptive Differential Filters for Fast and Communication-Efficient Federated Learning | arXiv | 2022 | Link |
| Adaptive Expert Models for Personalization in Federated Learning | arXiv | 2022 | Link |
| Adaptive Federated Minimax Optimization with Lower Complexities | arXiv | 2022 | Link |
| Adaptive Personlization in Federated Learning for Highly Non-i.i.d. Data | arXiv | 2022 | Link |
| Adaptive Resource Allocation in Quantum Key Distribution (QKD) for Federated Learning | arXiv | 2022 | Link |
| Adaptive Step-Size Methods for Compressed SGD | arXiv | 2022 | Link |
| Addressing Client Drift in Federated Continual Learning with Adaptive Optimization | arXiv | 2022 | Link |
| Addressing Heterogeneity in Federated Learning via Distributional Transformation | arXiv | 2022 | Link |
| Addressing modern and practical challenges in machine learning: A survey of online federated and transfer learning | arXiv | 2022 | Link |
| Advancing Blockchain-based Federated Learning through Verifiable Off-chain Computations | arXiv | 2022 | Link |
| Adverse effects of vaccinations against the Corona-virus SARS-CoV-2: insights and hindsights from a statistical perspective | arXiv | 2022 | Link |
| Aergia: Leveraging Heterogeneity in Federated Learning Systems | arXiv | 2022 | Link |
| Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization | arXiv | 2022 | Link |
| Alliance Makes Difference? Maximizing Social Welfare in Cross-Silo Federated Learning | arXiv | 2022 | Link |
| Almost Cost-Free Communication in Federated Best Arm Identification | arXiv | 2022 | Link |
| Almost Tight Error Bounds on Differentially Private Continual Counting | arXiv | 2022 | Link |
| Alternating Implicit Projected SGD and Its Efficient Variants for Equality-constrained Bilevel Optimization | arXiv | 2022 | Link |
| Amalur: Data Integration Meets Machine Learning | arXiv | 2022 | Link |
| An Adaptive Federated Relevance Framework for Spatial Temporal Graph Learning | arXiv | 2022 | Link |
| An Efficient Industrial Federated Learning Framework for AIoT: A Face Recognition Application | arXiv | 2022 | Link |
| An Efficient and Reliable Asynchronous Federated Learning Scheme for Smart Public Transportation | arXiv | 2022 | Link |
| An Efficient and Robust System for Vertically Federated Random Forest | arXiv | 2022 | Link |
| An Empirical Study of Personalized Federated Learning | arXiv | 2022 | Link |
| An Energy Optimized Specializing DAG Federated Learning based on Event Triggered Communication | arXiv | 2022 | Link |
| An Energy and Carbon Footprint Analysis of Distributed and Federated Learning | arXiv | 2022 | Link |
| An Improved Algorithm for Clustered Federated Learning | arXiv | 2022 | Link |
| An Information Centric Framework for Weather Sensing Data | arXiv | 2022 | Link |
| An Interpretable Federated Learning-based Network Intrusion Detection Framework | arXiv | 2022 | Link |
| An Optimal Transport Approach to Personalized Federated Learning | arXiv | 2022 | Link |
| An Overview on Over-the-Air Federated Edge Learning | arXiv | 2022 | Link |
| An invitation to the promise constraint satisfaction problem | arXiv | 2022 | Link |
| Analysing the Influence of Attack Configurations on the Reconstruction of Medical Images in Federated Learning | arXiv | 2022 | Link |
| Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression | arXiv | 2022 | Link |
| Analytic Method for Estimating Aircraft Fix Displacement from Gyroscope's Allan-Deviation Parameters | arXiv | 2022 | Link |
| Analytical Composition of Differential Privacy via the Edgeworth Accountant | arXiv | 2022 | Link |
| Analyzing Enterprise DNS Traffic to Classify Assets and Track Cyber-Health | arXiv | 2022 | Link |
| Analyzing the Robustness of Decentralized Horizontal and Vertical Federated Learning Architectures in a Non-IID Scenario | arXiv | 2022 | Link |
| Anchor Sampling for Federated Learning with Partial Client Participation | arXiv | 2022 | Link |
| Anomaly Detection through Unsupervised Federated Learning | arXiv | 2022 | Link |
| Anomaly Detection via Federated Learning | arXiv | 2022 | Link |
| Application of Federated Learning in Building a Robust COVID-19 Chest X-ray Classification Model | arXiv | 2022 | Link |
| Application of federated learning in manufacturing | arXiv | 2022 | Link |
| Applied Federated Learning: Architectural Design for Robust and Efficient Learning in Privacy Aware Settings | arXiv | 2022 | Link |
| AquaFeL-PSO: A Monitoring System for Water Resources using Autonomous Surface Vehicles based on Multimodal PSO and Federated Learning | arXiv | 2022 | Link |
| Architecture Agnostic Federated Learning for Neural Networks | arXiv | 2022 | Link |
| Are we always in strife? A longitudinal study of the echo chamber effect in the Australian Twittersphere | arXiv | 2022 | Link |
| Arithmetic Network Coding for Secret Sum Computation | arXiv | 2022 | Link |
| AsyncFLEO: Asynchronous Federated Learning for LEO Satellite Constellations with High-Altitude Platforms | arXiv | 2022 | Link |
| AsyncFedED: Asynchronous Federated Learning with Euclidean Distance based Adaptive Weight Aggregation | arXiv | 2022 | Link |
| Asynchronous Collaborative Learning Across Data Silos | arXiv | 2022 | Link |
| Asynchronous Decentralized Federated Learning for Collaborative Fault Diagnosis of PV Stations | arXiv | 2022 | Link |
| Asynchronous Federated Learning Based Mobility-aware Caching in Vehicular Edge Computing | arXiv | 2022 | Link |
| Asynchronous Federated Learning for Edge-assisted Vehicular Networks | arXiv | 2022 | Link |
| Asynchronous Hierarchical Federated Learning | arXiv | 2022 | Link |
| Auction-Based Ex-Post-Payment Incentive Mechanism Design for Horizontal Federated Learning with Reputation and Contribution Measurement | arXiv | 2022 | Link |
| Auction-Promoted Trading for Multiple Federated Learning Services in UAV-Aided Networks | arXiv | 2022 | Link |
| Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation | arXiv | 2022 | Link |
| Auxo: Efficient Federated Learning via Scalable Client Clustering | arXiv | 2022 | Link |
| Avoid Overfitting User Specific Information in Federated Keyword Spotting | arXiv | 2022 | Link |
| Award rate inequities in biomedical research | arXiv | 2022 | Link |
| BDSP: A Fair Blockchain-enabled Framework for Privacy-Enhanced Enterprise Data Sharing | arXiv | 2022 | Link |
| BEER: Fast $O(1/T)$ Rate for Decentralized Nonconvex Optimization with Communication Compression | arXiv | 2022 | Link |
| BERT WEAVER: Using WEight AVERaging to enable lifelong learning for transformer-based models in biomedical semantic search engines | arXiv | 2022 | Link |
| BFL: a Logic to Reason about Fault Trees | arXiv | 2022 | Link |
| BOBA: Byzantine-Robust Federated Learning with Label Skewness | arXiv | 2022 | Link |
| BPFISH: Blockchain and Privacy-preserving FL Inspired Smart Healthcare | arXiv | 2022 | Link |
| Backdoor Attack and Defense in Federated Generative Adversarial Network-based Medical Image Synthesis | arXiv | 2022 | Link |
| Backdoor Attack is a Devil in Federated GAN-based Medical Image Synthesis | arXiv | 2022 | Link |
| Backdoor Defense in Federated Learning Using Differential Testing and Outlier Detection | arXiv | 2022 | Link |
| Balancing Accuracy and Integrity for Reconfigurable Intelligent Surface-aided Over-the-Air Federated Learning | arXiv | 2022 | Link |
| Bayesian Federated Neural Matching that Completes Full Information | arXiv | 2022 | Link |
| Bayesian data fusion with shared priors | arXiv | 2022 | Link |
| Beam Management in Ultra-dense mmWave Network via Federated Reinforcement Learning: An Intelligent and Secure Approach | arXiv | 2022 | Link |
| Behavioral and Population Data Driven Distribution System Load Modeling | arXiv | 2022 | Link |
| Being Bayesian in the 2020s: opportunities and challenges in the practice of modern applied Bayesian statistics | arXiv | 2022 | Link |
| Better Methods and Theory for Federated Learning: Compression, Client Selection and Heterogeneity | arXiv | 2022 | Link |
| Beyond ADMM: A Unified Client-variance-reduced Adaptive Federated Learning Framework | arXiv | 2022 | Link |
| Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization | arXiv | 2022 | Link |
| Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning | arXiv | 2022 | Link |
| Blind Asynchronous Over-the-Air Federated Edge Learning | arXiv | 2022 | Link |
| Blinder: End-to-end Privacy Protection in Sensing Systems via Personalized Federated Learning | arXiv | 2022 | Link |
| Block Hunter: Federated Learning for Cyber Threat Hunting in Blockchain-based IIoT Networks | arXiv | 2022 | Link |
| BlockDFL: A Blockchain-based Fully Decentralized Peer-to-Peer Federated Learning Framework | arXiv | 2022 | Link |
| Blockchain Function Virtualization: A New Approach for Mobile Networks Beyond 5G | arXiv | 2022 | Link |
| Blockchain-based Collaborated Federated Learning for Improved Security, Privacy and Reliability | arXiv | 2022 | Link |
| Blockchain-based Monitoring for Poison Attack Detection in Decentralized Federated Learning | arXiv | 2022 | Link |
| Blockchain-based Secure Client Selection in Federated Learning | arXiv | 2022 | Link |
| Boost Decentralized Federated Learning in Vehicular Networks by Diversifying Data Sources | arXiv | 2022 | Link |
| Bounding the Response Time of DAG Tasks Using Long Paths | arXiv | 2022 | Link |
| Bridging Differential Privacy and Byzantine-Robustness via Model Aggregation | arXiv | 2022 | Link |
| Broadband Digital Over-the-Air Computation for Wireless Federated Edge Learning | arXiv | 2022 | Link |
| Byzantine-Robust Decentralized Learning via ClippedGossip | arXiv | 2022 | Link |
| Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees | arXiv | 2022 | Link |
| Byzantine-Robust Federated Linear Bandits | arXiv | 2022 | Link |
| Byzantines can also Learn from History: Fall of Centered Clipping in Federated Learning | arXiv | 2022 | Link |
| CAROL: Confidence-Aware Resilience Model for Edge Federations | arXiv | 2022 | Link |
| CC-FedAvg: Computationally Customized Federated Averaging | arXiv | 2022 | Link |
| CD$^2$-pFed: Cyclic Distillation-guided Channel Decoupling for Model Personalization in Federated Learning | arXiv | 2022 | Link |
| CDKT-FL: Cross-Device Knowledge Transfer using Proxy Dataset in Federated Learning | arXiv | 2022 | Link |
| CELEST: Federated Learning for Globally Coordinated Threat Detection | arXiv | 2022 | Link |
| CFL: Cluster Federated Learning in Large-scale Peer-to-Peer Networks | arXiv | 2022 | Link |
| CFLIT: Coexisting Federated Learning and Information Transfer | arXiv | 2022 | Link |
| CHARLES: Channel-Quality-Adaptive Over-the-Air Federated Learning over Wireless Networks | arXiv | 2022 | Link |
| CHEM: Efficient Secure Aggregation with Cached Homomorphic Encryption in Federated Machine Learning Systems | arXiv | 2022 | Link |
| CQELS 2.0: Towards A Unified Framework for Semantic Stream Fusion | arXiv | 2022 | Link |
| CXR-FL: Deep Learning-Based Chest X-ray Image Analysis Using Federated Learning | arXiv | 2022 | Link |
| CalFAT: Calibrated Federated Adversarial Training with Label Skewness | arXiv | 2022 | Link |
| Cali3F: Calibrated Fast Fair Federated Recommendation System | arXiv | 2022 | Link |
| Can Foundation Models Help Us Achieve Perfect Secrecy? | arXiv | 2022 | Link |
| Can collaborative learning be private, robust and scalable? | arXiv | 2022 | Link |
| Cap or No Cap? What Can Governments Do to Promote EV Sales? | arXiv | 2022 | Link |
| Capitalization Normalization for Language Modeling with an Accurate and Efficient Hierarchical RNN Model | arXiv | 2022 | Link |
| Caring Without Sharing: A Federated Learning Crowdsensing Framework for Diversifying Representation of Cities | arXiv | 2022 | Link |
| Caught in the Crossfire: Fears of Chinese-American Scientists | arXiv | 2022 | Link |
| Certified Robustness in Federated Learning | arXiv | 2022 | Link |
| Challenges and Opportunities for Machine Learning Classification of Behavior and Mental State from Images | arXiv | 2022 | Link |
| Channel-driven Decentralized Bayesian Federated Learning for Trustworthy Decision Making in D2D Networks | arXiv | 2022 | Link |
| Characterization of the Global Bias Problem in Aerial Federated Learning | arXiv | 2022 | Link |
| Characterizing Internal Evasion Attacks in Federated Learning | arXiv | 2022 | Link |
| Chirp-Based Over-the-Air Computation for Long-Range Federated Edge Learning | arXiv | 2022 | Link |
| Choices, Risks, and Reward Reports: Charting Public Policy for Reinforcement Learning Systems | arXiv | 2022 | Link |
| Client Selection and Bandwidth Allocation for Federated Learning: An Online Optimization Perspective | arXiv | 2022 | Link |
| Client Selection for Federated Bayesian Learning | arXiv | 2022 | Link |
| Client Selection in Federated Learning: Principles, Challenges, and Opportunities | arXiv | 2022 | Link |
| Closing the Gap between Client and Global Model Performance in Heterogeneous Federated Learning | arXiv | 2022 | Link |
| Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation | arXiv | 2022 | Link |
| Clustered Federated Learning based on Nonconvex Pairwise Fusion | arXiv | 2022 | Link |
| Clustered Scheduling and Communication Pipelining For Efficient Resource Management Of Wireless Federated Learning | arXiv | 2022 | Link |
| Clustered Vehicular Federated Learning: Process and Optimization | arXiv | 2022 | Link |
| CoCoFL: Communication- and Computation-Aware Federated Learning via Partial NN Freezing and Quantization | arXiv | 2022 | Link |
| Coded Caching via Federated Deep Reinforcement Learning in Fog Radio Access Networks | arXiv | 2022 | Link |
| Collaborating Heterogeneous Natural Language Processing Tasks via Federated Learning | arXiv | 2022 | Link |
| Collaboration in Participant-Centric Federated Learning: A Game-Theoretical Perspective | arXiv | 2022 | Link |
| Collaborative Domain Blocking: Using federated NLP To Detect Malicious Domains | arXiv | 2022 | Link |
| Collaborative Training of Medical Artificial Intelligence Models with non-uniform Labels | arXiv | 2022 | Link |
| Collusion Resistant Federated Learning with Oblivious Distributed Differential Privacy | arXiv | 2022 | Link |
| Combating Client Dropout in Federated Learning via Friend Model Substitution | arXiv | 2022 | Link |
| Combined Federated and Split Learning in Edge Computing for Ubiquitous Intelligence in Internet of Things: State of the Art and Future Directions | arXiv | 2022 | Link |
| Communication Acceleration of Local Gradient Methods via an Accelerated Primal-Dual Algorithm with Inexact Prox | arXiv | 2022 | Link |
| Communication Efficient Federated Learning for Generalized Linear Bandits | arXiv | 2022 | Link |
| Communication Efficient Federated Learning via Ordered ADMM in a Fully Decentralized Setting | arXiv | 2022 | Link |
| Communication-Efficient Adaptive Federated Learning | arXiv | 2022 | Link |
| Communication-Efficient Consensus Mechanism for Federated Reinforcement Learning | arXiv | 2022 | Link |
| Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization | arXiv | 2022 | Link |
| Communication-Efficient Federated Distillation with Active Data Sampling | arXiv | 2022 | Link |
| Communication-Efficient Federated Learning With Data and Client Heterogeneity | arXiv | 2022 | Link |
| Communication-Efficient Federated Learning for Heterogeneous Edge Devices Based on Adaptive Gradient Quantization | arXiv | 2022 | Link |
| Communication-Efficient Federated Learning over MIMO Multiple Access Channels | arXiv | 2022 | Link |
| Communication-Efficient Federated Learning with Accelerated Client Gradient | arXiv | 2022 | Link |
| Communication-Efficient and Drift-Robust Federated Learning via Elastic Net | arXiv | 2022 | Link |
| Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer Learning | arXiv | 2022 | Link |
| Communication-Efficient {Federated} Learning Using Censored Heavy Ball Descent | arXiv | 2022 | Link |
| Comparative assessment of federated and centralized machine learning | arXiv | 2022 | Link |
| Comparing Results of Thermographic Images Based Diagnosis for Breast Diseases | arXiv | 2022 | Link |
| Completely Heterogeneous Federated Learning | arXiv | 2022 | Link |
| Completion Time Minimization of Fog-RAN-Assisted Federated Learning With Rate-Splitting Transmission | arXiv | 2022 | Link |
| Compressed Particle-Based Federated Bayesian Learning and Unlearning | arXiv | 2022 | Link |
| Compressed-VFL: Communication-Efficient Learning with Vertically Partitioned Data | arXiv | 2022 | Link |
| Computation Offloading and Resource Allocation in F-RANs: A Federated Deep Reinforcement Learning Approach | arXiv | 2022 | Link |
| Computational Code-Based Privacy in Coded Federated Learning | arXiv | 2022 | Link |
| Confederated Learning: Federated Learning with Decentralized Edge Servers | arXiv | 2022 | Link |
| Constrained In-network Computing with Low Congestion in Datacenter Networks | arXiv | 2022 | Link |
| Content Popularity Prediction Based on Quantized Federated Bayesian Learning in Fog Radio Access Networks | arXiv | 2022 | Link |
| Content Popularity Prediction in Fog-RANs: A Clustered Federated Learning Based Approach | arXiv | 2022 | Link |
| Contextual Model Aggregation for Fast and Robust Federated Learning in Edge Computing | arXiv | 2022 | Link |
| Continual Horizontal Federated Learning for Heterogeneous Data | arXiv | 2022 | Link |
| Continual Learning for Peer-to-Peer Federated Learning: A Study on Automated Brain Metastasis Identification | arXiv | 2022 | Link |
| Continual Learning of Dynamical Systems with Competitive Federated Reservoir Computing | arXiv | 2022 | Link |
| Convergence Acceleration in Wireless Federated Learning: A Stackelberg Game Approach | arXiv | 2022 | Link |
| Convergence and Disruption in Digital Society -- Money, Secure Communication, Digital Objects and Generative AI in Spatial Mixed Reality | arXiv | 2022 | Link |
| Coresets for Vertical Federated Learning: Regularized Linear Regression and $K$-Means Clustering | arXiv | 2022 | Link |
| Cost Effective MLaaS Federation: A Combinatorial Reinforcement Learning Approach | arXiv | 2022 | Link |
| Creating a Secure Underlay for the Internet | arXiv | 2022 | Link |
| Cross-Silo Federated Learning: Challenges and Opportunities | arXiv | 2022 | Link |
| Cross-Silo Heterogeneous Model Federated Multitask Learning | arXiv | 2022 | Link |
| Cross-client Label Propagation for Transductive and Semi-Supervised Federated Learning | arXiv | 2022 | Link |
| Cross-domain Federated Object Detection | arXiv | 2022 | Link |
| Cybersecurity Law: Legal Jurisdiction and Authority | arXiv | 2022 | Link |
| Cybertwin-enabled 6G Space-air-ground Integrated Networks: Architecture, Open Issue, and Challenges | arXiv | 2022 | Link |
| DASHA: Distributed Nonconvex Optimization with Communication Compression, Optimal Oracle Complexity, and No Client Synchronization | arXiv | 2022 | Link |
| DBT-Net: Dual-branch federative magnitude and phase estimation with attention-in-attention transformer for monaural speech enhancement | arXiv | 2022 | Link |
| DELTA: Diverse Client Sampling for Fasting Federated Learning | arXiv | 2022 | Link |
| DHSA: Efficient Doubly Homomorphic Secure Aggregation for Cross-silo Federated Learning | arXiv | 2022 | Link |
| DJI drone IDs are not encrypted | arXiv | 2022 | Link |
| DP$^2$-NILM: A Distributed and Privacy-preserving Framework for Non-intrusive Load Monitoring | arXiv | 2022 | Link |
| DPAUC: Differentially Private AUC Computation in Federated Learning | arXiv | 2022 | Link |
| DPD-fVAE: Synthetic Data Generation Using Federated Variational Autoencoders With Differentially-Private Decoder | arXiv | 2022 | Link |
| DRAGON: Decentralized Fault Tolerance in Edge Federations | arXiv | 2022 | Link |
| DRFLM: Distributionally Robust Federated Learning with Inter-client Noise via Local Mixup | arXiv | 2022 | Link |
| DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing | arXiv | 2022 | Link |
| DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics | arXiv | 2022 | Link |
| Dap-FL: Federated Learning flourishes by adaptive tuning and secure aggregation | arXiv | 2022 | Link |
| Data Heterogeneity-Robust Federated Learning via Group Client Selection in Industrial IoT | arXiv | 2022 | Link |
| Data Leaves: Scenario-oriented Metadata for Data Federative Innovation | arXiv | 2022 | Link |
| Data-Quality Based Scheduling for Federated Edge Learning | arXiv | 2022 | Link |
| Day-ahead Schedule Considering the Participation of Electric Vehicles in Primary Frequency Response | arXiv | 2022 | Link |
| DeFL: Decentralized Weight Aggregation for Cross-silo Federated Learning | arXiv | 2022 | Link |
| DearFSAC: An Approach to Optimizing Unreliable Federated Learning via Deep Reinforcement Learning | arXiv | 2022 | Link |
| Debiasing pipeline improves deep learning model generalization for X-ray based lung nodule detection | arXiv | 2022 | Link |
| Decentral and Incentivized Federated Learning Frameworks: A Systematic Literature Review | arXiv | 2022 | Link |
| Decentralized Aggregation for Energy-Efficient Federated Learning via Overlapped Clustering and D2D Communications | arXiv | 2022 | Link |
| Decentralized Collaborative Learning with Probabilistic Data Protection | arXiv | 2022 | Link |
| Decentralized EM to Learn Gaussian Mixtures from Datasets Distributed by Features | arXiv | 2022 | Link |
| Decentralized Event-Triggered Federated Learning with Heterogeneous Communication Thresholds | arXiv | 2022 | Link |
| Decentralized Federated Learning Based on Committees and Blockchain | arXiv | 2022 | Link |
| Decentralized Federated Learning via Non-Coherent Over-the-Air Consensus | arXiv | 2022 | Link |
| Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges | arXiv | 2022 | Link |
| Decentralized Federated Reinforcement Learning for User-Centric Dynamic TFDD Control | arXiv | 2022 | Link |
| Decentralized Gossip-Based Stochastic Bilevel Optimization over Communication Networks | arXiv | 2022 | Link |
| Decentralized Hyper-Gradient Computation over Time-Varying Directed Networks | arXiv | 2022 | Link |
| Decentralized digital twins of complex dynamical systems | arXiv | 2022 | Link |
| Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models | arXiv | 2022 | Link |
| Decision Models for Selecting Federated Learning Architecture Patterns | arXiv | 2022 | Link |
| Decoupled Federated Learning for ASR with Non-IID Data | arXiv | 2022 | Link |
| Deep Cervix Model Development from Heterogeneous and Partially Labeled Image Datasets | arXiv | 2022 | Link |
| Deep Federated Anomaly Detection for Multivariate Time Series Data | arXiv | 2022 | Link |
| Deep Hierarchy Quantization Compression algorithm based on Dynamic Sampling | arXiv | 2022 | Link |
| Deep Leakage from Model in Federated Learning | arXiv | 2022 | Link |
| Deep Quality Estimation: Creating Surrogate Models for Human Quality Ratings | arXiv | 2022 | Link |
| Deep Reinforcement Learning Assisted Federated Learning Algorithm for Data Management of IIoT | arXiv | 2022 | Link |
| Deep Reinforcement Learning-Assisted Federated Learning for Robust Short-term Utility Demand Forecasting in Electricity Wholesale Markets | arXiv | 2022 | Link |
| Deep Unfolding-based Weighted Averaging for Federated Learning in Heterogeneous Environments | arXiv | 2022 | Link |
| Deep leakage from gradients | arXiv | 2022 | Link |
| Defending against Reconstruction Attacks through Differentially Private Federated Learning for Classification of Heterogeneous Chest X-Ray Data | arXiv | 2022 | Link |
| Democratising Knowledge Representation with BioCypher | arXiv | 2022 | Link |
| Democratizing Aviation Emissions Estimation: Development of an Open-Source, Data-Driven Methodology | arXiv | 2022 | Link |
| Demystifying Swarm Learning: A New Paradigm of Blockchain-based Decentralized Federated Learning | arXiv | 2022 | Link |
| Depersonalized Federated Learning: Tackling Statistical Heterogeneity by Alternating Stochastic Gradient Descent | arXiv | 2022 | Link |
| Detecting Environmental Violations with Satellite Imagery in Near Real Time: Land Application under the Clean Water Act | arXiv | 2022 | Link |
| Detection and Prevention Against Poisoning Attacks in Federated Learning | arXiv | 2022 | Link |
| Detection of False Data Injection Attacks in Smart Grid: A Secure Federated Deep Learning Approach | arXiv | 2022 | Link |
| Developing a Series of AI Challenges for the United States Department of the Air Force | arXiv | 2022 | Link |
| Device Scheduling for Over-the-Air Federated Learning with Differential Privacy | arXiv | 2022 | Link |
| Device-centric Federated Analytics At Ease | arXiv | 2022 | Link |
| DiME and AGVis: A Distributed Messaging Environment and Geographical Visualizer for Large-scale Power System Simulation | arXiv | 2022 | Link |
| Differential Privacy: What is all the noise about? | arXiv | 2022 | Link |
| Differential Secrecy for Distributed Data and Applications to Robust Differentially Secure Vector Summation | arXiv | 2022 | Link |
| Differentially Private AUC Computation in Vertical Federated Learning | arXiv | 2022 | Link |
| Differentially Private Federated Combinatorial Bandits with Constraints | arXiv | 2022 | Link |
| Differentially Private Federated Learning via Reconfigurable Intelligent Surface | arXiv | 2022 | Link |
| Differentially Private Federated Learning with Local Regularization and Sparsification | arXiv | 2022 | Link |
| Differentially Private Vertical Federated Clustering | arXiv | 2022 | Link |
| Differentially Private Vertical Federated Learning | arXiv | 2022 | Link |
| Differentially private partitioned variational inference | arXiv | 2022 | Link |
| Differentiated Federated Reinforcement Learning Based Traffic Offloading on Space-Air-Ground Integrated Networks | arXiv | 2022 | Link |
| Digital Twin-Enabled Domain Adaptation for Zero-Touch UAV Networks: Survey and Challenges | arXiv | 2022 | Link |
| Dim-Krum: Backdoor-Resistant Federated Learning for NLP with Dimension-wise Krum-Based Aggregation | arXiv | 2022 | Link |
| DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training | arXiv | 2022 | Link |
| Disentangled Federated Learning for Tackling Attributes Skew via Invariant Aggregation and Diversity Transferring | arXiv | 2022 | Link |
| Distributed Contrastive Learning for Medical Image Segmentation | arXiv | 2022 | Link |
| Distributed Learning over a Wireless Network with Non-coherent Majority Vote Computation | arXiv | 2022 | Link |
| Distributed Machine Learning in D2D-Enabled Heterogeneous Networks: Architectures, Performance, and Open Challenges | arXiv | 2022 | Link |
| Distributed Newton-Type Methods with Communication Compression and Bernoulli Aggregation | arXiv | 2022 | Link |
| Distributed Pruning Towards Tiny Neural Networks in Federated Learning | arXiv | 2022 | Link |
| Distributed Robotic Systems in the Edge-Cloud Continuum with ROS 2: a Review on Novel Architectures and Technology Readiness | arXiv | 2022 | Link |
| Distributed Stochastic Gradient Descent with Cost-Sensitive and Strategic Agents | arXiv | 2022 | Link |
| Divergence-aware Federated Self-Supervised Learning | arXiv | 2022 | Link |
| Do Unions Shape Political Ideologies at Work? | arXiv | 2022 | Link |
| Do school reforms shape study behavior at university? Evidence from an instructional time reform | arXiv | 2022 | Link |
| Domain Discrepancy Aware Distillation for Model Aggregation in Federated Learning | arXiv | 2022 | Link |
| Don't let Ricci v. DeStefano Hold You Back: A Bias-Aware Legal Solution to the Hiring Paradox | arXiv | 2022 | Link |
| Dual Class-Aware Contrastive Federated Semi-Supervised Learning | arXiv | 2022 | Link |
| Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance | arXiv | 2022 | Link |
| Dynamic Clustering and Power Control for Two-Tier Wireless Federated Learning | arXiv | 2022 | Link |
| Dynamic Federations for 6G Cell-Free Networking: Concepts and Terminology | arXiv | 2022 | Link |
| Dynamic Pricing for Client Recruitment in Federated Learning | arXiv | 2022 | Link |
| Dynamic Resource Provisioning of a Scalable E2E Network Slicing Orchestration System | arXiv | 2022 | Link |
| E2FL: Equal and Equitable Federated Learning | arXiv | 2022 | Link |
| EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization | arXiv | 2022 | Link |
| EFFGAN: Ensembles of fine-tuned federated GANs | arXiv | 2022 | Link |
| EFMVFL: An Efficient and Flexible Multi-party Vertical Federated Learning without a Third Party | arXiv | 2022 | Link |
| Early prediction of the risk of ICU mortality with Deep Federated Learning | arXiv | 2022 | Link |
| EdgeFaaS: A Function-based Framework for Edge Computing | arXiv | 2022 | Link |
| Effect of Homomorphic Encryption on the Performance of Training Federated Learning Generative Adversarial Networks | arXiv | 2022 | Link |
| Efficient Adaptive Federated Optimization of Federated Learning for IoT | arXiv | 2022 | Link |
| Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles Between Client Data Subspaces | arXiv | 2022 | Link |
| Efficient Dropout-resilient Aggregation for Privacy-preserving Machine Learning | arXiv | 2022 | Link |
| Efficient Fully Distributed Federated Learning with Adaptive Local Links | arXiv | 2022 | Link |
| Efficient Image Representation Learning with Federated Sampled Softmax | arXiv | 2022 | Link |
| Efficient Rate-Splitting Multiple Access for the Internet of Vehicles: Federated Edge Learning and Latency Minimization | arXiv | 2022 | Link |
| Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization | arXiv | 2022 | Link |
| Efficient Wireless Federated Learning with Partial Model Aggregation | arXiv | 2022 | Link |
| Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout | arXiv | 2022 | Link |
| Efficient and Privacy Preserving Group Signature for Federated Learning | arXiv | 2022 | Link |
| Efficient and flexible estimation of natural mediation effects under intermediate confounding and monotonicity constraints | arXiv | 2022 | Link |
| Electrical Load Forecasting Using Edge Computing and Federated Learning | arXiv | 2022 | Link |
| Embedding Alignment for Unsupervised Federated Learning via Smart Data Exchange | arXiv | 2022 | Link |
| Embedding Representation of Academic Heterogeneous Information Networks Based on Federated Learning | arXiv | 2022 | Link |
| Enabling Dynamic and Intelligent Workflows for HPC, Data Analytics, and AI Convergence | arXiv | 2022 | Link |
| Encoded Gradients Aggregation against Gradient Leakage in Federated Learning | arXiv | 2022 | Link |
| Encrypted machine learning of molecular quantum properties | arXiv | 2022 | Link |
| Energy Efficient Deployment and Orchestration of Computing Resources at the Network Edge: a Survey on Algorithms, Trends and Open Challenges | arXiv | 2022 | Link |
| Energy Minimization for Federated Asynchronous Learning on Battery-Powered Mobile Devices via Application Co-running | arXiv | 2022 | Link |
| Energy and Spectrum Efficient Federated Learning via High-Precision Over-the-Air Computation | arXiv | 2022 | Link |
| Energy-Aware Edge Association for Cluster-based Personalized Federated Learning | arXiv | 2022 | Link |
| Energy-Latency Attacks via Sponge Poisoning | arXiv | 2022 | Link |
| Enhanced Decentralized Federated Learning based on Consensus in Connected Vehicles | arXiv | 2022 | Link |
| Enhanced Security and Privacy via Fragmented Federated Learning | arXiv | 2022 | Link |
| Enhancing Cyber Resilience of Networked Microgrids using Vertical Federated Reinforcement Learning | arXiv | 2022 | Link |
| Enhancing Efficiency in Multidevice Federated Learning through Data Selection | arXiv | 2022 | Link |
| Enhancing Federated Learning with spectrum allocation optimization and device selection | arXiv | 2022 | Link |
| Enhancing Heterogeneous Federated Learning with Knowledge Extraction and Multi-Model Fusion | arXiv | 2022 | Link |
| Enriching Scholarly Knowledge with Context | arXiv | 2022 | Link |
| Entropy Inequalities and Gaussian Comparisons | arXiv | 2022 | Link |
| Environmental injustice in America: Racial disparities in exposure to air pollution health damages from freight trucking | arXiv | 2022 | Link |
| Escaping Data Scarcity for High-Resolution Heterogeneous Face Hallucination | arXiv | 2022 | Link |
| Escaping Saddle Points with Bias-Variance Reduced Local Perturbed SGD for Communication Efficient Nonconvex Distributed Learning | arXiv | 2022 | Link |
| Evaluating Proposed Fairness Models for Face Recognition Algorithms | arXiv | 2022 | Link |
| Evaluation and Analysis of Different Aggregation and Hyperparameter Selection Methods for Federated Brain Tumor Segmentation | arXiv | 2022 | Link |
| Evaluation and comparison of federated learning algorithms for Human Activity Recognition on smartphones | arXiv | 2022 | Link |
| Exact Penalty Method for Federated Learning | arXiv | 2022 | Link |
| Explainable Artificial Intelligence in Retinal Imaging for the detection of Systemic Diseases | arXiv | 2022 | Link |
| Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine | arXiv | 2022 | Link |
| Exploiting Features and Logits in Heterogeneous Federated Learning | arXiv | 2022 | Link |
| Exploiting Personalized Invariance for Better Out-of-distribution Generalization in Federated Learning | arXiv | 2022 | Link |
| Exploration and Exploitation in Federated Learning to Exclude Clients with Poisoned Data | arXiv | 2022 | Link |
| Exploratory Analysis of Academic Collaborations between French and US | arXiv | 2022 | Link |
| Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Persevering EdgeIoT | arXiv | 2022 | Link |
| Exploring Parameter-Efficient Fine-Tuning to Enable Foundation Models in Federated Learning | arXiv | 2022 | Link |
| Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation | arXiv | 2022 | Link |
| FADE: Enabling Federated Adversarial Training on Heterogeneous Resource-Constrained Edge Devices | arXiv | 2022 | Link |
| FAIR-BFL: Flexible and Incentive Redesign for Blockchain-based Federated Learning | arXiv | 2022 | Link |
| FAIR-FATE: Fair Federated Learning with Momentum | arXiv | 2022 | Link |
| FAQS: Communication-efficient Federate DNN Architecture and Quantization Co-Search for personalized Hardware-aware Preferences | arXiv | 2022 | Link |
| FD-GATDR: A Federated-Decentralized-Learning Graph Attention Network for Doctor Recommendation Using EHR | arXiv | 2022 | Link |
| FEATHERS: Federated Architecture and Hyperparameter Search | arXiv | 2022 | Link |
| FEDIC: Federated Learning on Non-IID and Long-Tailed Data via Calibrated Distillation | arXiv | 2022 | Link |
| FEL: High Capacity Learning for Recommendation and Ranking via Federated Ensemble Learning | arXiv | 2022 | Link |
| FGAN: Federated Generative Adversarial Networks for Anomaly Detection in Network Traffic | arXiv | 2022 | Link |
| FIRST: FrontrunnIng Resilient Smart ConTracts | arXiv | 2022 | Link |
| FL Games: A Federated Learning Framework for Distribution Shifts | arXiv | 2022 | Link |
| FL Games: A federated learning framework for distribution shifts | arXiv | 2022 | Link |
| FL-Defender: Combating Targeted Attacks in Federated Learning | arXiv | 2022 | Link |
| FLAD: Adaptive Federated Learning for DDoS Attack Detection | arXiv | 2022 | Link |
| FLAGS Framework for Comparative Analysis of Federated Learning Algorithms | arXiv | 2022 | Link |
| FLAIR: Federated Learning Annotated Image Repository | arXiv | 2022 | Link |
| FLAME: Federated Learning Across Multi-device Environments | arXiv | 2022 | Link |
| FLCert: Provably Secure Federated Learning against Poisoning Attacks | arXiv | 2022 | Link |
| FLECS-CGD: A Federated Learning Second-Order Framework via Compression and Sketching with Compressed Gradient Differences | arXiv | 2022 | Link |
| FLECS: A Federated Learning Second-Order Framework via Compression and Sketching | arXiv | 2022 | Link |
| FLHub: a Federated Learning model sharing service | arXiv | 2022 | Link |
| FLICU: A Federated Learning Workflow for Intensive Care Unit Mortality Prediction | arXiv | 2022 | Link |
| FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning | arXiv | 2022 | Link |
| FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution | arXiv | 2022 | Link |
| FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations | arXiv | 2022 | Link |
| FL_PyTorch: optimization research simulator for federated learning | arXiv | 2022 | Link |
| FLaaS: Cross-App On-device Federated Learning in Mobile Environments | arXiv | 2022 | Link |
| FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings | arXiv | 2022 | Link |
| FLock: Defending Malicious Behaviors in Federated Learning with Blockchain | arXiv | 2022 | Link |
| FOCUS: Fairness via Agent-Awareness for Federated Learning on Heterogeneous Data | arXiv | 2022 | Link |
| FRAS: Federated Reinforcement Learning empowered Adaptive Point Cloud Video Streaming | arXiv | 2022 | Link |
| FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation | arXiv | 2022 | Link |
| FRL-FI: Transient Fault Analysis for Federated Reinforcement Learning-Based Navigation Systems | arXiv | 2022 | Link |
| FaRO 2: an Open Source, Configurable Smart City Framework for Real-Time Distributed Vision and Biometric Systems | arXiv | 2022 | Link |
| Fabricated Flips: Poisoning Federated Learning without Data | arXiv | 2022 | Link |
| Facilitating Federated Genomic Data Analysis by Identifying Record Correlations while Ensuring Privacy | arXiv | 2022 | Link |
| Factorized-FL: Agnostic Personalized Federated Learning with Kernel Factorization & Similarity Matching | arXiv | 2022 | Link |
| Fair Federated Learning via Bounded Group Loss | arXiv | 2022 | Link |
| Fair NLP Models with Differentially Private Text Encoders | arXiv | 2022 | Link |
| Fair and efficient contribution valuation for vertical federated learning | arXiv | 2022 | Link |
| FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning | arXiv | 2022 | Link |
| Fairness in Federated Learning for Spatial-Temporal Applications | arXiv | 2022 | Link |
| Fairness in Federated Learning via Core-Stability | arXiv | 2022 | Link |
| Fast Adaptive Federated Bilevel Optimization | arXiv | 2022 | Link |
| Fast Composite Optimization and Statistical Recovery in Federated Learning | arXiv | 2022 | Link |
| Fast Deep Autoencoder for Federated learning | arXiv | 2022 | Link |
| Fast Heterogeneous Federated Learning with Hybrid Client Selection | arXiv | 2022 | Link |
| Fast Server Learning Rate Tuning for Coded Federated Dropout | arXiv | 2022 | Link |
| Fast-Convergent Federated Learning via Cyclic Aggregation | arXiv | 2022 | Link |
| Faster Adaptive Federated Learning | arXiv | 2022 | Link |
| Faster Adaptive Momentum-Based Federated Methods for Distributed Composition Optimization | arXiv | 2022 | Link |
| Faster federated optimization under second-order similarity | arXiv | 2022 | Link |
| FeDXL: Provable Federated Learning for Deep X-Risk Optimization | arXiv | 2022 | Link |
| Feature Correlation-guided Knowledge Transfer for Federated Self-supervised Learning | arXiv | 2022 | Link |
| Feature Distribution Matching for Federated Domain Generalization | arXiv | 2022 | Link |
| Feature Reconstruction Attacks and Countermeasures of DNN training in Vertical Federated Learning | arXiv | 2022 | Link |
| Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction | arXiv | 2022 | Link |
| Fed-DART and FACT: A solution for Federated Learning in a production environment | arXiv | 2022 | Link |
| Fed-FSNet: Mitigating Non-I.I.D. Federated Learning via Fuzzy Synthesizing Network | arXiv | 2022 | Link |
| Fed-TDA: Federated Tabular Data Augmentation on Non-IID Data | arXiv | 2022 | Link |
| FedADMM: A Federated Primal-Dual Algorithm Allowing Partial Participation | arXiv | 2022 | Link |
| FedADMM: A Robust Federated Deep Learning Framework with Adaptivity to System Heterogeneity | arXiv | 2022 | Link |
| FedALA: Adaptive Local Aggregation for Personalized Federated Learning | arXiv | 2022 | Link |
| FedAR+: A Federated Learning Approach to Appliance Recognition with Mislabeled Data in Residential Buildings | arXiv | 2022 | Link |
| FedAUXfdp: Differentially Private One-Shot Federated Distillation | arXiv | 2022 | Link |
| FedAdapter: Efficient Federated Learning for Modern NLP | arXiv | 2022 | Link |
| FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling | arXiv | 2022 | Link |
| FedAudio: A Federated Learning Benchmark for Audio Tasks | arXiv | 2022 | Link |
| FedAvg with Fine Tuning: Local Updates Lead to Representation Learning | arXiv | 2022 | Link |
| FedBA: Non-IID Federated Learning Framework in UAV Networks | arXiv | 2022 | Link |
| FedBC: Calibrating Global and Local Models via Federated Learning Beyond Consensus | arXiv | 2022 | Link |
| FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction | arXiv | 2022 | Link |
| FedBalancer: Data and Pace Control for Efficient Federated Learning on Heterogeneous Clients | arXiv | 2022 | Link |
| FedCAT: Towards Accurate Federated Learning via Device Concatenation | arXiv | 2022 | Link |
| FedCL: Federated Contrastive Learning for Privacy-Preserving Recommendation | arXiv | 2022 | Link |
| FedCL: Federated Multi-Phase Curriculum Learning to Synchronously Correlate User Heterogeneity | arXiv | 2022 | Link |
| FedCau: A Proactive Stop Policy for Communication and Computation Efficient Federated Learning | arXiv | 2022 | Link |
| FedClassAvg: Local Representation Learning for Personalized Federated Learning on Heterogeneous Neural Networks | arXiv | 2022 | Link |
| FedComm: Federated Learning as a Medium for Covert Communication | arXiv | 2022 | Link |
| FedComm: Understanding Communication Protocols for Edge-based Federated Learning | arXiv | 2022 | Link |
| FedControl: When Control Theory Meets Federated Learning | arXiv | 2022 | Link |
| FedCorr: Multi-Stage Federated Learning for Label Noise Correction | arXiv | 2022 | Link |
| FedCos: A Scene-adaptive Federated Optimization Enhancement for Performance Improvement | arXiv | 2022 | Link |
| FedCross: Towards Accurate Federated Learning via Multi-Model Cross-Aggregation | arXiv | 2022 | Link |
| FedCut: A Spectral Analysis Framework for Reliable Detection of Byzantine Colluders | arXiv | 2022 | Link |
| FedDAR: Federated Domain-Aware Representation Learning | arXiv | 2022 | Link |
| FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction | arXiv | 2022 | Link |
| FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource Constrained Devices using Divide and Collaborative Training | arXiv | 2022 | Link |
| FedDKD: Federated Learning with Decentralized Knowledge Distillation | arXiv | 2022 | Link |
| FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning | arXiv | 2022 | Link |
| FedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for Non-IID Data in Federated Learning | arXiv | 2022 | Link |
| FedDTG:Federated Data-Free Knowledge Distillation via Three-Player Generative Adversarial Networks | arXiv | 2022 | Link |
| FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server | arXiv | 2022 | Link |
| FedDef: Defense Against Gradient Leakage in Federated Learning-based Network Intrusion Detection Systems | arXiv | 2022 | Link |
| FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving | arXiv | 2022 | Link |
| FedER: Federated Learning through Experience Replay and Privacy-Preserving Data Synthesis | arXiv | 2022 | Link |
| FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphs | arXiv | 2022 | Link |
| FedEmbed: Personalized Private Federated Learning | arXiv | 2022 | Link |
| FedEntropy: Efficient Device Grouping for Federated Learning Using Maximum Entropy Judgment | arXiv | 2022 | Link |
| FedFA: Federated Learning with Feature Anchors to Align Features and Classifiers for Heterogeneous Data | arXiv | 2022 | Link |
| FedFM: Anchor-based Feature Matching for Data Heterogeneity in Federated Learning | arXiv | 2022 | Link |
| FedFOR: Stateless Heterogeneous Federated Learning with First-Order Regularization | arXiv | 2022 | Link |
| FedForgery: Generalized Face Forgery Detection with Residual Federated Learning | arXiv | 2022 | Link |
| FedFormer: Contextual Federation with Attention in Reinforcement Learning | arXiv | 2022 | Link |
| FedGBF: An efficient vertical federated learning framework via gradient boosting and bagging | arXiv | 2022 | Link |
| FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks | arXiv | 2022 | Link |
| FedGPO: Heterogeneity-Aware Global Parameter Optimization for Efficient Federated Learning | arXiv | 2022 | Link |
| FedGRec: Federated Graph Recommender System with Lazy Update of Latent Embeddings | arXiv | 2022 | Link |
| FedGS: Federated Graph-based Sampling with Arbitrary Client Availability | arXiv | 2022 | Link |
| FedGen: Generalizable Federated Learning for Sequential Data | arXiv | 2022 | Link |
| FedGiA: An Efficient Hybrid Algorithm for Federated Learning | arXiv | 2022 | Link |
| FedGrad: Optimisation in Decentralised Machine Learning | arXiv | 2022 | Link |
| FedGradNorm: Personalized Federated Gradient-Normalized Multi-Task Learning | arXiv | 2022 | Link |
| FedGraph: an Aggregation Method from Graph Perspective | arXiv | 2022 | Link |
| FedHAP: Fast Federated Learning for LEO Constellations Using Collaborative HAPs | arXiv | 2022 | Link |
| FedHAP: Federated Hashing with Global Prototypes for Cross-silo Retrieval | arXiv | 2022 | Link |
| FedHPO-B: A Benchmark Suite for Federated Hyperparameter Optimization | arXiv | 2022 | Link |
| FedHarmony: Unlearning Scanner Bias with Distributed Data | arXiv | 2022 | Link |
| FedHeN: Federated Learning in Heterogeneous Networks | arXiv | 2022 | Link |
| FedHiSyn: A Hierarchical Synchronous Federated Learning Framework for Resource and Data Heterogeneity | arXiv | 2022 | Link |
| FedILC: Weighted Geometric Mean and Invariant Gradient Covariance for Federated Learning on Non-IID Data | arXiv | 2022 | Link |
| FedKL: Tackling Data Heterogeneity in Federated Reinforcement Learning by Penalizing KL Divergence | arXiv | 2022 | Link |
| FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge | arXiv | 2022 | Link |
| FedLesScan: Mitigating Stragglers in Serverless Federated Learning | arXiv | 2022 | Link |
| FedLite: A Scalable Approach for Federated Learning on Resource-constrained Clients | arXiv | 2022 | Link |
| FedMCSA: Personalized Federated Learning via Model Components Self-Attention | arXiv | 2022 | Link |
| FedMR: Fedreated Learning via Model Recombination | arXiv | 2022 | Link |
| FedMT: Federated Learning with Mixed-type Labels | arXiv | 2022 | Link |
| FedMed-ATL: Misaligned Unpaired Brain Image Synthesis via Affine Transform Loss | arXiv | 2022 | Link |
| FedMed-GAN: Federated Domain Translation on Unsupervised Cross-Modality Brain Image Synthesis | arXiv | 2022 | Link |
| FedMint: Intelligent Bilateral Client Selection in Federated Learning with Newcomer IoT Devices | arXiv | 2022 | Link |
| FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation | arXiv | 2022 | Link |
| FedNST: Federated Noisy Student Training for Automatic Speech Recognition | arXiv | 2022 | Link |
| FedNet2Net: Saving Communication and Computations in Federated Learning with Model Growing | arXiv | 2022 | Link |
| FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning | arXiv | 2022 | Link |
| FedNoiL: A Simple Two-Level Sampling Method for Federated Learning with Noisy Labels | arXiv | 2022 | Link |
| FedNorm: Modality-Based Normalization in Federated Learning for Multi-Modal Liver Segmentation | arXiv | 2022 | Link |
| FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning | arXiv | 2022 | Link |
| FedOS: using open-set learning to stabilize training in federated learning | arXiv | 2022 | Link |
| FedPC: Federated Learning for Language Generation with Personal and Context Preference Embeddings | arXiv | 2022 | Link |
| FedPop: A Bayesian Approach for Personalised Federated Learning | arXiv | 2022 | Link |
| FedPrompt: Communication-Efficient and Privacy Preserving Prompt Tuning in Federated Learning | arXiv | 2022 | Link |
| FedPseudo: Pseudo value-based Deep Learning Models for Federated Survival Analysis | arXiv | 2022 | Link |
| FedQAS: Privacy-aware machine reading comprehension with federated learning | arXiv | 2022 | Link |
| FedREP: Towards Horizontal Federated Load Forecasting for Retail Energy Providers | arXiv | 2022 | Link |
| FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical Information | arXiv | 2022 | Link |
| FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction | arXiv | 2022 | Link |
| FedRule: Federated Rule Recommendation System with Graph Neural Networks | arXiv | 2022 | Link |
| FedSA: Accelerating Intrusion Detection in Collaborative Environments with Federated Simulated Annealing | arXiv | 2022 | Link |
| FedSPLIT: One-Shot Federated Recommendation System Based on Non-negative Joint Matrix Factorization and Knowledge Distillation | arXiv | 2022 | Link |
| FedSS: Federated Learning with Smart Selection of clients | arXiv | 2022 | Link |
| FedSSO: A Federated Server-Side Second-Order Optimization Algorithm | arXiv | 2022 | Link |
| FedShuffle: Recipes for Better Use of Local Work in Federated Learning | arXiv | 2022 | Link |
| FedSiam-DA: Dual-aggregated Federated Learning via Siamese Network under Non-IID Data | arXiv | 2022 | Link |
| FedSkip: Combatting Statistical Heterogeneity with Federated Skip Aggregation | arXiv | 2022 | Link |
| FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations | arXiv | 2022 | Link |
| FedSyn: Synthetic Data Generation using Federated Learning | arXiv | 2022 | Link |
| FedSynth: Gradient Compression via Synthetic Data in Federated Learning | arXiv | 2022 | Link |
| FedSysID: A Federated Approach to Sample-Efficient System Identification | arXiv | 2022 | Link |
| FedTADBench: Federated Time-Series Anomaly Detection Benchmark | arXiv | 2022 | Link |
| FedTP: Federated Learning by Transformer Personalization | arXiv | 2022 | Link |
| FedToken: Tokenized Incentives for Data Contribution in Federated Learning | arXiv | 2022 | Link |
| FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model | arXiv | 2022 | Link |
| FedTrees: A Novel Computation-Communication Efficient Federated Learning Framework Investigated in Smart Grids | arXiv | 2022 | Link |
| FedTune: A Deep Dive into Efficient Federated Fine-Tuning with Pre-trained Transformers | arXiv | 2022 | Link |
| FedUKD: Federated UNet Model with Knowledge Distillation for Land Use Classification from Satellite and Street Views | arXiv | 2022 | Link |
| FedVARP: Tackling the Variance Due to Partial Client Participation in Federated Learning | arXiv | 2022 | Link |
| FedVLN: Privacy-preserving Federated Vision-and-Language Navigation | arXiv | 2022 | Link |
| FedVMR: A New Federated Learning method for Video Moment Retrieval | arXiv | 2022 | Link |
| FedVQCS: Federated Learning via Vector Quantized Compressed Sensing | arXiv | 2022 | Link |
| FedVeca: Federated Vectorized Averaging on Non-IID Data with Adaptive Bi-directional Global Objective | arXiv | 2022 | Link |
| FedWalk: Communication Efficient Federated Unsupervised Node Embedding with Differential Privacy | arXiv | 2022 | Link |
| FedX: Unsupervised Federated Learning with Cross Knowledge Distillation | arXiv | 2022 | Link |
| Federated Active Learning (F-AL): an Efficient Annotation Strategy for Federated Learning | arXiv | 2022 | Link |
| Federated Adaptation of Reservoirs via Intrinsic Plasticity | arXiv | 2022 | Link |
| Federated Adaptive Prompt Tuning for Multi-Domain Collaborative Learning | arXiv | 2022 | Link |
| Federated Adversarial Learning: A Framework with Convergence Analysis | arXiv | 2022 | Link |
| Federated Adversarial Training with Transformers | arXiv | 2022 | Link |
| Federated AirNet: Hybrid Digital-Analog Neural Network Transmission for Federated Learning | arXiv | 2022 | Link |
| Federated Anomaly Detection over Distributed Data Streams | arXiv | 2022 | Link |
| Federated Averaging Langevin Dynamics: Toward a unified theory and new algorithms | arXiv | 2022 | Link |
| Federated Bayesian Computation via Piecewise Deterministic Markov Processes | arXiv | 2022 | Link |
| Federated Best Arm Identification with Heterogeneous Clients | arXiv | 2022 | Link |
| Federated Calibration and Evaluation of Binary Classifiers | arXiv | 2022 | Link |
| Federated Causal Discovery From Interventions | arXiv | 2022 | Link |
| Federated Channel Learning for Intelligent Reflecting Surfaces With Fewer Pilot Signals | arXiv | 2022 | Link |
| Federated Class-Incremental Learning | arXiv | 2022 | Link |
| Federated Continual Learning for Socially Aware Robotics | arXiv | 2022 | Link |
| Federated Continual Learning for Text Classification via Selective Inter-client Transfer | arXiv | 2022 | Link |
| Federated Continual Learning through distillation in pervasive computing | arXiv | 2022 | Link |
| Federated Continual Learning to Detect Accounting Anomalies in Financial Auditing | arXiv | 2022 | Link |
| Federated Contrastive Learning for Dermatological Disease Diagnosis via On-device Learning | arXiv | 2022 | Link |
| Federated Contrastive Learning for Volumetric Medical Image Segmentation | arXiv | 2022 | Link |
| Federated Coordinate Descent for Privacy-Preserving Multiparty Linear Regression | arXiv | 2022 | Link |
| Federated Cross Learning for Medical Image Segmentation | arXiv | 2022 | Link |
| Federated Cycling (FedCy): Semi-supervised Federated Learning of Surgical Phases | arXiv | 2022 | Link |
| Federated Data Analytics: A Study on Linear Models | arXiv | 2022 | Link |
| Federated Deep Learning Meets Autonomous Vehicle Perception: Design and Verification | arXiv | 2022 | Link |
| Federated Deep Reinforcement Learning for Open RAN Slicing in 6G Networks | arXiv | 2022 | Link |
| Federated Deep Reinforcement Learning for RIS-Assisted Indoor Multi-Robot Communication Systems | arXiv | 2022 | Link |
| Federated Deep Reinforcement Learning for Resource Allocation in O-RAN Slicing | arXiv | 2022 | Link |
| Federated Distillation based Indoor Localization for IoT Networks | arXiv | 2022 | Link |
| Federated Domain Adaptation for ASR with Full Self-Supervision | arXiv | 2022 | Link |
| Federated Domain Generalization for Image Recognition via Cross-Client Style Transfer | arXiv | 2022 | Link |
| Federated Few-Shot Learning for Mobile NLP | arXiv | 2022 | Link |
| Federated Fuzzy Neural Network with Evolutionary Rule Learning | arXiv | 2022 | Link |
| Federated Generalized Linear Mixed Models for Collaborative Genome-wide Association Studies | arXiv | 2022 | Link |
| Federated Graph Attention Network for Rumor Detection | arXiv | 2022 | Link |
| Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications | arXiv | 2022 | Link |
| Federated Graph Neural Networks: Overview, Techniques and Challenges | arXiv | 2022 | Link |
| Federated Graph Representation Learning using Self-Supervision | arXiv | 2022 | Link |
| Federated Graph-based Networks with Shared Embedding | arXiv | 2022 | Link |
| Federated Hypergradient Descent | arXiv | 2022 | Link |
| Federated Latent Class Regression for Hierarchical Data | arXiv | 2022 | Link |
| Federated Learning -- Methods, Applications and beyond | arXiv | 2022 | Link |
| Federated Learning Aggregation: New Robust Algorithms with Guarantees | arXiv | 2022 | Link |
| Federated Learning Approach for Lifetime Prediction of Semiconductor Lasers | arXiv | 2022 | Link |
| Federated Learning Attacks and Defenses: A Survey | arXiv | 2022 | Link |
| Federated Learning Challenges and Opportunities: An Outlook | arXiv | 2022 | Link |
| Federated Learning Cost Disparity for IoT Devices | arXiv | 2022 | Link |
| Federated Learning Enables Big Data for Rare Cancer Boundary Detection | arXiv | 2022 | Link |
| Federated Learning Framework Coping with Hierarchical Heterogeneity in Cooperative ITS | arXiv | 2022 | Link |
| Federated Learning Framework in Fogbus2-based Edge Computing Environments | arXiv | 2022 | Link |
| Federated Learning Hyper-Parameter Tuning from a System Perspective | arXiv | 2022 | Link |
| Federated Learning Under Intermittent Client Availability and Time-Varying Communication Constraints | arXiv | 2022 | Link |
| Federated Learning Using Three-Operator ADMM | arXiv | 2022 | Link |
| Federated Learning Using Variance Reduced Stochastic Gradient for Probabilistically Activated Agents | arXiv | 2022 | Link |
| Federated Learning and Meta Learning: Approaches, Applications, and Directions | arXiv | 2022 | Link |
| Federated Learning and catastrophic forgetting in pervasive computing: demonstration in HAR domain | arXiv | 2022 | Link |
| Federated Learning based Energy Demand Prediction with Clustered Aggregation | arXiv | 2022 | Link |
| Federated Learning based on Defending Against Data Poisoning Attacks in IoT | arXiv | 2022 | Link |
| Federated Learning for 5G Base Station Traffic Forecasting | arXiv | 2022 | Link |
| Federated Learning for Appearance-based Gaze Estimation in the Wild | arXiv | 2022 | Link |
| Federated Learning for Autoencoder-based Condition Monitoring in the Industrial Internet of Things | arXiv | 2022 | Link |
| Federated Learning for Chronic Obstructive Pulmonary Disease Classification with Partial Personalized Attention Mechanism | arXiv | 2022 | Link |
| Federated Learning for Digital Twin-Based Vehicular Networks: Architecture and Challenges | arXiv | 2022 | Link |
| Federated Learning for Distributed Energy-Efficient Resource Allocation | arXiv | 2022 | Link |
| Federated Learning for Distributed Spectrum Sensing in NextG Communication Networks | arXiv | 2022 | Link |
| Federated Learning for Inference at Anytime and Anywhere | arXiv | 2022 | Link |
| Federated Learning for IoUT: Concepts, Applications, Challenges and Opportunities | arXiv | 2022 | Link |
| Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions | arXiv | 2022 | Link |
| Federated Learning for Non-IID Data via Client Variance Reduction and Adaptive Server Update | arXiv | 2022 | Link |
| Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey | arXiv | 2022 | Link |
| Federated Learning for Tabular Data: Exploring Potential Risk to Privacy | arXiv | 2022 | Link |
| Federated Learning for Vision-based Obstacle Avoidance in the Internet of Robotic Things | arXiv | 2022 | Link |
| Federated Learning for the Classification of Tumor Infiltrating Lymphocytes | arXiv | 2022 | Link |
| Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients | arXiv | 2022 | Link |
| Federated Learning from Pre-Trained Models: A Contrastive Learning Approach | arXiv | 2022 | Link |
| Federated Learning in Multi-Center Critical Care Research: A Systematic Case Study using the eICU Database | arXiv | 2022 | Link |
| Federated Learning in Non-IID Settings Aided by Differentially Private Synthetic Data | arXiv | 2022 | Link |
| Federated Learning in Satellite Constellations | arXiv | 2022 | Link |
| Federated Learning of Generative Image Priors for MRI Reconstruction | arXiv | 2022 | Link |
| Federated Learning of Large Models at the Edge via Principal Sub-Model Training | arXiv | 2022 | Link |
| Federated Learning of Neural ODE Models with Different Iteration Counts | arXiv | 2022 | Link |
| Federated Learning on Adaptively Weighted Nodes by Bilevel Optimization | arXiv | 2022 | Link |
| Federated Learning on Non-IID Graphs via Structural Knowledge Sharing | arXiv | 2022 | Link |
| Federated Learning on Riemannian Manifolds | arXiv | 2022 | Link |
| Federated Learning under Distributed Concept Drift | arXiv | 2022 | Link |
| Federated Learning via Decentralized Dataset Distillation in Resource-Constrained Edge Environments | arXiv | 2022 | Link |
| Federated Learning via Inexact ADMM | arXiv | 2022 | Link |
| Federated Learning via Unmanned Aerial Vehicle | arXiv | 2022 | Link |
| Federated Learning with Erroneous Communication Links | arXiv | 2022 | Link |
| Federated Learning with Flexible Control | arXiv | 2022 | Link |
| Federated Learning with GAN-based Data Synthesis for Non-IID Clients | arXiv | 2022 | Link |
| Federated Learning with Heterogeneous Architectures using Graph HyperNetworks | arXiv | 2022 | Link |
| Federated Learning with Intermediate Representation Regularization | arXiv | 2022 | Link |
| Federated Learning with Label Distribution Skew via Logits Calibration | arXiv | 2022 | Link |
| Federated Learning with Lossy Distributed Source Coding: Analysis and Optimization | arXiv | 2022 | Link |
| Federated Learning with Noisy User Feedback | arXiv | 2022 | Link |
| Federated Learning with Position-Aware Neurons | arXiv | 2022 | Link |
| Federated Learning with Quantum Secure Aggregation | arXiv | 2022 | Link |
| Federated Learning with Research Prototypes for Multi-Center MRI-based Detection of Prostate Cancer with Diverse Histopathology | arXiv | 2022 | Link |
| Federated Learning with Server Learning: Enhancing Performance for Non-IID Data | arXiv | 2022 | Link |
| Federated Learning with Sparsified Model Perturbation: Improving Accuracy under Client-Level Differential Privacy | arXiv | 2022 | Link |
| Federated Learning with Uncertainty via Distilled Predictive Distributions | arXiv | 2022 | Link |
| Federated Learning with a Sampling Algorithm under Isoperimetry | arXiv | 2022 | Link |
| Federated Learning-Based Cell-Free Massive MIMO System for Privacy-Preserving | arXiv | 2022 | Link |
| Federated Learning-Based Interference Modeling for Vehicular Dynamic Spectrum Access | arXiv | 2022 | Link |
| Federated Learning-Based Localization with Heterogeneous Fingerprint Database | arXiv | 2022 | Link |
| Federated Meta-Learning for Traffic Steering in O-RAN | arXiv | 2022 | Link |
| Federated Minimax Optimization: Improved Convergence Analyses and Algorithms | arXiv | 2022 | Link |
| Federated Momentum Contrastive Clustering | arXiv | 2022 | Link |
| Federated Multi-Agent Deep Reinforcement Learning Approach via Physics-Informed Reward for Multi-Microgrid Energy Management | arXiv | 2022 | Link |
| Federated Multi-Armed Bandits Under Byzantine Attacks | arXiv | 2022 | Link |
| Federated Multi-Discriminator BiWGAN-GP based Collaborative Anomaly Detection for Virtualized Network Slicing | arXiv | 2022 | Link |
| Federated Multi-Task Learning for THz Wideband Channel and DoA Estimation | arXiv | 2022 | Link |
| Federated Multi-organ Segmentation with Inconsistent Labels | arXiv | 2022 | Link |
| Federated Multilingual Models for Medical Transcript Analysis | arXiv | 2022 | Link |
| Federated Named Entity Recognition | arXiv | 2022 | Link |
| Federated Neural Bandits | arXiv | 2022 | Link |
| Federated Neural Topic Models | arXiv | 2022 | Link |
| Federated Non-negative Matrix Factorization for Short Texts Topic Modeling with Mutual Information | arXiv | 2022 | Link |
| Federated Offline Reinforcement Learning | arXiv | 2022 | Link |
| Federated Online Clustering of Bandits | arXiv | 2022 | Link |
| Federated Online Sparse Decision Making | arXiv | 2022 | Link |
| Federated Optimization Algorithms with Random Reshuffling and Gradient Compression | arXiv | 2022 | Link |
| Federated Optimization of Smooth Loss Functions | arXiv | 2022 | Link |
| Federated PCA on Grassmann Manifold for Anomaly Detection in IoT Networks | arXiv | 2022 | Link |
| Federated Progressive Sparsification (Purge, Merge, Tune)+ | arXiv | 2022 | Link |
| Federated Pruning: Improving Neural Network Efficiency with Federated Learning | arXiv | 2022 | Link |
| Federated Quantum Natural Gradient Descent for Quantum Federated Learning | arXiv | 2022 | Link |
| Federated Random Reshuffling with Compression and Variance Reduction | arXiv | 2022 | Link |
| Federated Reinforcement Learning for Collective Navigation of Robotic Swarms | arXiv | 2022 | Link |
| Federated Reinforcement Learning for Real-Time Electric Vehicle Charging and Discharging Control | arXiv | 2022 | Link |
| Federated Reinforcement Learning with Environment Heterogeneity | arXiv | 2022 | Link |
| Federated Remote Physiological Measurement with Imperfect Data | arXiv | 2022 | Link |
| Federated Representation Learning via Maximal Coding Rate Reduction | arXiv | 2022 | Link |
| Federated Select: A Primitive for Communication- and Memory-Efficient Federated Learning | arXiv | 2022 | Link |
| Federated Selective Aggregation for Knowledge Amalgamation | arXiv | 2022 | Link |
| Federated Self-Supervised Contrastive Learning and Masked Autoencoder for Dermatological Disease Diagnosis | arXiv | 2022 | Link |
| Federated Self-Supervised Learning for Acoustic Event Classification | arXiv | 2022 | Link |
| Federated Self-Supervised Learning in Heterogeneous Settings: Limits of a Baseline Approach on HAR | arXiv | 2022 | Link |
| Federated Self-supervised Learning for Heterogeneous Clients | arXiv | 2022 | Link |
| Federated Self-supervised Learning for Video Understanding | arXiv | 2022 | Link |
| Federated Self-supervised Speech Representations: Are We There Yet? | arXiv | 2022 | Link |
| Federated Semi-Supervised Classification of Multimedia Flows for 3D Networks | arXiv | 2022 | Link |
| Federated Semi-Supervised Domain Adaptation via Knowledge Transfer | arXiv | 2022 | Link |
| Federated Semi-Supervised Learning with Prototypical Networks | arXiv | 2022 | Link |
| Federated Spatial Reuse Optimization in Next-Generation Decentralized IEEE 802.11 WLANs | arXiv | 2022 | Link |
| Federated Spectrum Learning for Reconfigurable Intelligent Surfaces-Aided Wireless Edge Networks | arXiv | 2022 | Link |
| Federated Split BERT for Heterogeneous Text Classification | arXiv | 2022 | Link |
| Federated Split GANs | arXiv | 2022 | Link |
| Federated Stain Normalization for Computational Pathology | arXiv | 2022 | Link |
| Federated Stochastic Approximation under Markov Noise and Heterogeneity: Applications in Reinforcement Learning | arXiv | 2022 | Link |
| Federated Stochastic Gradient Descent Begets Self-Induced Momentum | arXiv | 2022 | Link |
| Federated Training of Dual Encoding Models on Small Non-IID Client Datasets | arXiv | 2022 | Link |
| Federated Transfer Learning with Multimodal Data | arXiv | 2022 | Link |
| Federated Unlearning for On-Device Recommendation | arXiv | 2022 | Link |
| Federated Unlearning with Knowledge Distillation | arXiv | 2022 | Link |
| Federated Unlearning: How to Efficiently Erase a Client in FL? | arXiv | 2022 | Link |
| Federated Unsupervised Domain Adaptation for Face Recognition | arXiv | 2022 | Link |
| Federated Unsupervised Visual Representation Learning via Exploiting General Content and Personal Style | arXiv | 2022 | Link |
| Federated X-Armed Bandit | arXiv | 2022 | Link |
| Federated XGBoost on Sample-Wise Non-IID Data | arXiv | 2022 | Link |
| Federated Zero-Shot Learning for Visual Recognition | arXiv | 2022 | Link |
| Federated and Generalized Person Re-identification through Domain and Feature Hallucinating | arXiv | 2022 | Link |
| Federated and Transfer Learning: A Survey on Adversaries and Defense Mechanisms | arXiv | 2022 | Link |
| Federated clustering with GAN-based data synthesis | arXiv | 2022 | Link |
| Federated deep transfer learning for EEG decoding using multiple BCI tasks | arXiv | 2022 | Link |
| Federated learning with incremental clustering for heterogeneous data | arXiv | 2022 | Link |
| Federated learning: Applications, challenges and future directions | arXiv | 2022 | Link |
| Federated singular value decomposition for high dimensional data | arXiv | 2022 | Link |
| FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning | arXiv | 2022 | Link |
| FederatedScope: A Flexible Federated Learning Platform for Heterogeneity | arXiv | 2022 | Link |
| Federating and querying heterogeneous and distributed Web APIs and triple stores | arXiv | 2022 | Link |
| FedorAS: Federated Architecture Search under system heterogeneity | arXiv | 2022 | Link |
| Feedback Dynamics of the Low-Income Rental Housing Market: Exploring Policy Responses to COVID-19 | arXiv | 2022 | Link |
| FewFedWeight: Few-shot Federated Learning Framework across Multiple NLP Tasks | arXiv | 2022 | Link |
| FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification | arXiv | 2022 | Link |
| Find Your Friends: Personalized Federated Learning with the Right Collaborators | arXiv | 2022 | Link |
| Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning | arXiv | 2022 | Link |
| Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification | arXiv | 2022 | Link |
| Flexible Parallel Learning in Edge Scenarios: Communication, Computational and Energy Cost | arXiv | 2022 | Link |
| Flexible Vertical Federated Learning with Heterogeneous Parties | arXiv | 2022 | Link |
| Flipping the Script on Criminal Justice Risk Assessment: An actuarial model for assessing the risk the federal sentencing system poses to defendants | arXiv | 2022 | Link |
| Flow: Per-Instance Personalized Federated Learning Through Dynamic Routing | arXiv | 2022 | Link |
| FoldingNet Autoencoder model to create a geospatial grouping of CityGML building dataset | arXiv | 2022 | Link |
| Follow-Me Cloud: When Cloud Services Follow Mobile Users | arXiv | 2022 | Link |
| Forecasting SQL Query Cost at Twitter | arXiv | 2022 | Link |
| Foreign Object Debris Detection for Airport Pavement Images based on Self-supervised Localization and Vision Transformer | arXiv | 2022 | Link |
| Framework Construction of an Adversarial Federated Transfer Learning Classifier | arXiv | 2022 | Link |
| Free-Rider Games for Federated Learning with Selfish Clients in NextG Wireless Networks | arXiv | 2022 | Link |
| From Competition to Collaboration: Making Toy Datasets on Kaggle Clinically Useful for Chest X-Ray Diagnosis Using Federated Learning | arXiv | 2022 | Link |
| From Workplace to Residence: The Spillover Effects of Minimum Wage Policies on Local Housing Markets | arXiv | 2022 | Link |
| Full-homomorphisms to paths and cycles | arXiv | 2022 | Link |
| Fully Decentralized, Scalable Gaussian Processes for Multi-Agent Federated Learning | arXiv | 2022 | Link |
| GFCL: A GRU-based Federated Continual Learning Framework against Data Poisoning Attacks in IoV | arXiv | 2022 | Link |
| GOF-TTE: Generative Online Federated Learning Framework for Travel Time Estimation | arXiv | 2022 | Link |
| GTFLAT: Game Theory Based Add-On For Empowering Federated Learning Aggregation Techniques | arXiv | 2022 | Link |
| Game of Privacy: Towards Better Federated Platform Collaboration under Privacy Restriction | arXiv | 2022 | Link |
| Generalized Federated Learning via Sharpness Aware Minimization | arXiv | 2022 | Link |
| Generalized Lipschitz numbers, fine differentiability, and quasiconformal mappings | arXiv | 2022 | Link |
| Generalizing intrusion detection for heterogeneous networks: A stacked-unsupervised federated learning approach | arXiv | 2022 | Link |
| Generating Synthetic Data in a Secure Federated General Adversarial Networks for a Consortium of Health Registries | arXiv | 2022 | Link |
| Generative Data Augmentation for Non-IID Problem in Decentralized Clinical Machine Learning | arXiv | 2022 | Link |
| German Parliamentary Corpus (GerParCor) | arXiv | 2022 | Link |
| GitFL: Adaptive Asynchronous Federated Learning using Version Control | arXiv | 2022 | Link |
| Global Convergence of Federated Learning for Mixed Regression | arXiv | 2022 | Link |
| Global Update Guided Federated Learning | arXiv | 2022 | Link |
| GlueFL: Reconciling Client Sampling and Model Masking for Bandwidth Efficient Federated Learning | arXiv | 2022 | Link |
| GowFed -- A novel Federated Network Intrusion Detection System | arXiv | 2022 | Link |
| Gradient Masked Averaging for Federated Learning | arXiv | 2022 | Link |
| Gradient and Channel Aware Dynamic Scheduling for Over-the-Air Computation in Federated Edge Learning Systems | arXiv | 2022 | Link |
| Gradient-Free Federated Learning Methods with $l_1$ and $l_2$-Randomization for Non-Smooth Convex Stochastic Optimization Problems | arXiv | 2022 | Link |
| Grantecan spectroscopic observations and confirmations of Planetary Nebulae candidates in the Northern Galactic Plane | arXiv | 2022 | Link |
| Graph Federated Learning for CIoT Devices in Smart Home Applications | arXiv | 2022 | Link |
| Graph Federated Learning with Hidden Representation Sharing | arXiv | 2022 | Link |
| Graph-Assisted Communication-Efficient Ensemble Federated Learning | arXiv | 2022 | Link |
| Green, Quantized Federated Learning over Wireless Networks: An Energy-Efficient Design | arXiv | 2022 | Link |
| Gromov-Wasserstein Discrepancy with Local Differential Privacy for Distributed Structural Graphs | arXiv | 2022 | Link |
| Group Personalized Federated Learning | arXiv | 2022 | Link |
| Group privacy for personalized federated learning | arXiv | 2022 | Link |
| HBFL: A Hierarchical Blockchain-based Federated Learning Framework for a Collaborative IoT Intrusion Detection | arXiv | 2022 | Link |
| HCFL: A High Compression Approach for Communication-Efficient Federated Learning in Very Large Scale IoT Networks | arXiv | 2022 | Link |
| HEX: Human-in-the-loop Explainability via Deep Reinforcement Learning | arXiv | 2022 | Link |
| HFedMS: Heterogeneous Federated Learning with Memorable Data Semantics in Industrial Metaverse | arXiv | 2022 | Link |
| Handling Data Heterogeneity in Federated Learning via Knowledge Distillation and Fusion | arXiv | 2022 | Link |
| Happenstance: Utilizing Semantic Search to Track Russian State Media Narratives about the Russo-Ukrainian War On Reddit | arXiv | 2022 | Link |
| Health Advertising on Facebook: Privacy & Policy Considerations | arXiv | 2022 | Link |
| Hercules: Boosting the Performance of Privacy-preserving Federated Learning | arXiv | 2022 | Link |
| HetVis: A Visual Analysis Approach for Identifying Data Heterogeneity in Horizontal Federated Learning | arXiv | 2022 | Link |
| Heterogeneity-aware Clustered Distributed Learning for Multi-source Data Analysis | arXiv | 2022 | Link |
| Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning | arXiv | 2022 | Link |
| Heterogeneous Federated CubeSat System: problems, constraints and capabilities | arXiv | 2022 | Link |
| Heterogeneous Federated Learning on a Graph | arXiv | 2022 | Link |
| Heterogeneous Federated Learning via Grouped Sequential-to-Parallel Training | arXiv | 2022 | Link |
| Hide and Seek -- Preserving Location Privacy and Utility in the Remote Identification of Unmanned Aerial Vehicles | arXiv | 2022 | Link |
| HideNseek: Federated Lottery Ticket via Server-side Pruning and Sign Supermask | arXiv | 2022 | Link |
| Hierarchical Federated Learning with Momentum Acceleration in Multi-Tier Networks | arXiv | 2022 | Link |
| Hierarchical Federated Learning with Privacy | arXiv | 2022 | Link |
| Hierarchical Over-the-Air FedGradNorm | arXiv | 2022 | Link |
| HierarchyFL: Heterogeneous Federated Learning via Hierarchical Self-Distillation | arXiv | 2022 | Link |
| High stable and accurate vehicle selection scheme based on federated edge learning in vehicular networks | arXiv | 2022 | Link |
| Hijack Vertical Federated Learning Models As One Party | arXiv | 2022 | Link |
| Homomorphic Encryption and Federated Learning based Privacy-Preserving CNN Training: COVID-19 Detection Use-Case | arXiv | 2022 | Link |
| Horizontal Federated Learning and Secure Distributed Training for Recommendation System with Intel SGX | arXiv | 2022 | Link |
| How Democracies Polarize: A Multilevel Perspective | arXiv | 2022 | Link |
| How to Attain Communication-Efficient DNN Training? Convert, Compress, Correct | arXiv | 2022 | Link |
| How to Backdoor HyperNetwork in Personalized Federated Learning? | arXiv | 2022 | Link |
| How to Combine Variational Bayesian Networks in Federated Learning | arXiv | 2022 | Link |
| How to Coordinate Edge Devices for Over-the-Air Federated Learning? | arXiv | 2022 | Link |
| HyBNN and FedHyBNN: (Federated) Hybrid Binary Neural Networks | arXiv | 2022 | Link |
| Hydra -- A Federated Data Repository over NDN | arXiv | 2022 | Link |
| Hypernetwork-based Personalized Federated Learning for Multi-Institutional CT Imaging | arXiv | 2022 | Link |
| IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation | arXiv | 2022 | Link |
| ISFL: Federated Learning for Non-i.i.d. Data with Local Importance Sampling | arXiv | 2022 | Link |
| Identifying Backdoor Attacks in Federated Learning via Anomaly Detection | arXiv | 2022 | Link |
| Identifying and estimating effects of sustained interventions under parallel trends assumptions | arXiv | 2022 | Link |
| Imitation Learning-based Implicit Semantic-aware Communication Networks: Multi-layer Representation and Collaborative Reasoning | arXiv | 2022 | Link |
| Impact of Sampling on Locally Differentially Private Data Collection | arXiv | 2022 | Link |
| Impact of the 2022 OSTP Memo: A Bibliometric Analysis of U.S. Federally Funded Publications, 2017-2021 | arXiv | 2022 | Link |
| Impact of the composition of feature extraction and class sampling in medicare fraud detection | arXiv | 2022 | Link |
| Implementation and pratical aspects of quantitative decision-making in clinical drug development | arXiv | 2022 | Link |
| Improved Differential Privacy for SGD via Optimal Private Linear Operators on Adaptive Streams | arXiv | 2022 | Link |
| Improved Information Theoretic Generalization Bounds for Distributed and Federated Learning | arXiv | 2022 | Link |
| Improved Utility Analysis of Private CountSketch | arXiv | 2022 | Link |
| Improving Amharic Handwritten Word Recognition Using Auxiliary Task | arXiv | 2022 | Link |
| Improving Federated Learning Communication Efficiency with Global Momentum Fusion for Gradient Compression Schemes | arXiv | 2022 | Link |
| Improving Generalization in Federated Learning by Seeking Flat Minima | arXiv | 2022 | Link |
| Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM | arXiv | 2022 | Link |
| Improving the Robustness of Federated Learning for Severely Imbalanced Datasets | arXiv | 2022 | Link |
| Incentive Mechanism Design for Joint Resource Allocation in Blockchain-based Federated Learning | arXiv | 2022 | Link |
| Incentivizing Data Contribution in Cross-Silo Federated Learning | arXiv | 2022 | Link |
| Incentivizing Federated Learning | arXiv | 2022 | Link |
| Increasing Data Equity Through Accessibility | arXiv | 2022 | Link |
| Industry-Scale Orchestrated Federated Learning for Drug Discovery | arXiv | 2022 | Link |
| Inflation and income inequality: Does the level of income inequality matter? | arXiv | 2022 | Link |
| Intelligent Transportation Systems' Orchestration: Lessons Learned & Potential Opportunities | arXiv | 2022 | Link |
| Interference Management for Over-the-Air Federated Learning in Multi-Cell Wireless Networks | arXiv | 2022 | Link |
| Internet-of-Things Architectures for Secure Cyber-Physical Spaces: the VISOR Experience Report | arXiv | 2022 | Link |
| Interpretability of Fine-grained Classification of Sadness and Depression | arXiv | 2022 | Link |
| Introducing Federated Learning into Internet of Things ecosystems -- preliminary considerations | arXiv | 2022 | Link |
| Invariant Aggregator for Defending against Federated Backdoor Attacks | arXiv | 2022 | Link |
| Inverse Feasibility in Over-the-Air Federated Learning | arXiv | 2022 | Link |
| Investigating Neuron Disturbing in Fusing Heterogeneous Neural Networks | arXiv | 2022 | Link |
| Investigating the Predictive Reproducibility of Federated Graph Neural Networks using Medical Datasets | arXiv | 2022 | Link |
| Is Non-IID Data a Threat in Federated Online Learning to Rank? | arXiv | 2022 | Link |
| Jamming Attacks on Federated Learning in Wireless Networks | arXiv | 2022 | Link |
| Joint Device Selection and Power Control for Wireless Federated Learning | arXiv | 2022 | Link |
| Joint Optimization of Energy Consumption and Completion Time in Federated Learning | arXiv | 2022 | Link |
| Just-in-Time Aggregation for Federated Learning | arXiv | 2022 | Link |
| Kernel Normalized Convolutional Networks for Privacy-Preserving Machine Learning | arXiv | 2022 | Link |
| Knowledge Distillation for Federated Learning: a Practical Guide | arXiv | 2022 | Link |
| Knowledge Transfer and Reuse: A Case Study of AI-enabled Resource Management in RAN Slicing | arXiv | 2022 | Link |
| Knowledge-Aware Federated Active Learning with Non-IID Data | arXiv | 2022 | Link |
| Knowledge-Guided Data-Centric AI in Healthcare: Progress, Shortcomings, and Future Directions | arXiv | 2022 | Link |
| Knowledge-Guided Learning for Transceiver Design in Over-the-Air Federated Learning | arXiv | 2022 | Link |
| Knowledge-Injected Federated Learning | arXiv | 2022 | Link |
| Knowledge-aided Federated Learning for Energy-limited Wireless Networks | arXiv | 2022 | Link |
| LAMP: Extracting Text from Gradients with Language Model Priors | arXiv | 2022 | Link |
| LIA: Privacy-Preserving Data Quality Evaluation in Federated Learning Using a Lazy Influence Approximation | arXiv | 2022 | Link |
| LOCKS: User Differentially Private and Federated Optimal Client Sampling | arXiv | 2022 | Link |
| LSTM-Based Distributed Conditional Generative Adversarial Network For Data-Driven 5G-Enabled Maritime UAV Communications | arXiv | 2022 | Link |
| Label driven Knowledge Distillation for Federated Learning with non-IID Data | arXiv | 2022 | Link |
| Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging | arXiv | 2022 | Link |
| Labeling Chaos to Learning Harmony: Federated Learning with Noisy Labels | arXiv | 2022 | Link |
| Labor advantages drive the greater productivity of faculty at elite universities | arXiv | 2022 | Link |
| Lack of corundum, carbon residues and revealing gaps on dental implants | arXiv | 2022 | Link |
| Latency Aware Semi-synchronous Client Selection and Model Aggregation for Wireless Federated Learning | arXiv | 2022 | Link |
| Layer-wised Model Aggregation for Personalized Federated Learning | arXiv | 2022 | Link |
| Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning | arXiv | 2022 | Link |
| Learning Task-Aware Energy Disaggregation: a Federated Approach | arXiv | 2022 | Link |
| Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images | arXiv | 2022 | Link |
| Learning to Generate Image Embeddings with User-level Differential Privacy | arXiv | 2022 | Link |
| Learning-Based Client Selection for Federated Learning Services Over Wireless Networks with Constrained Monetary Budgets | arXiv | 2022 | Link |
| Learnings from Federated Learning in the Real world | arXiv | 2022 | Link |
| Legal Prompt Engineering for Multilingual Legal Judgement Prediction | arXiv | 2022 | Link |
| Leveraging Centric Data Federated Learning Using Blockchain For Integrity Assurance | arXiv | 2022 | Link |
| Leveraging Channel Noise for Sampling and Privacy via Quantized Federated Langevin Monte Carlo | arXiv | 2022 | Link |
| Lifelong Bandit Optimization: No Prior and No Regret | arXiv | 2022 | Link |
| Linking Contexts from Distinct Data Sources in Zero Trust Federation | arXiv | 2022 | Link |
| LoMar: A Local Defense Against Poisoning Attack on Federated Learning | arXiv | 2022 | Link |
| Local Differential Privacy for Federated Learning | arXiv | 2022 | Link |
| Local Stochastic Bilevel Optimization with Momentum-Based Variance Reduction | arXiv | 2022 | Link |
| Local-Adaptive Face Recognition via Graph-based Meta-Clustering and Regularized Adaptation | arXiv | 2022 | Link |
| Long-Short History of Gradients is All You Need: Detecting Malicious and Unreliable Clients in Federated Learning | arXiv | 2022 | Link |
| Lossy Gradient Compression: How Much Accuracy Can One Bit Buy? | arXiv | 2022 | Link |
| Lottery Aware Sparsity Hunting: Enabling Federated Learning on Resource-Limited Edge | arXiv | 2022 | Link |
| Low-Latency Cooperative Spectrum Sensing via Truncated Vertical Federated Learning | arXiv | 2022 | Link |
| Low-latency Federated Learning with DNN Partition in Distributed Industrial IoT Networks | arXiv | 2022 | Link |
| M3FGM:a node masking and multi-granularity message passing-based federated graph model for spatial-temporal data prediction | arXiv | 2022 | Link |
| MDA: Availability-Aware Federated Learning Client Selection | arXiv | 2022 | Link |
| MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning | arXiv | 2022 | Link |
| MUDGUARD: Taming Malicious Majorities in Federated Learning using Privacy-Preserving Byzantine-Robust Clustering | arXiv | 2022 | Link |
| MULTI-FLGANs: Multi-Distributed Adversarial Networks for Non-IID distribution | arXiv | 2022 | Link |
| Machine Unlearning of Federated Clusters | arXiv | 2022 | Link |
| Machine learning prediction of network dynamics with privacy protection | arXiv | 2022 | Link |
| Mahiru: a federated, policy-driven data processing and exchange system | arXiv | 2022 | Link |
| MammoFL: Mammographic Breast Density Estimation using Federated Learning | arXiv | 2022 | Link |
| Mapping Philanthropic Support of Science | arXiv | 2022 | Link |
| Marvel DC: A Blockchain-Based Decentralized and Incentive-Compatible Distributed Computing Protocol | arXiv | 2022 | Link |
| Mask Off: Analytic-based Malware Detection By Transfer Learning and Model Personalization | arXiv | 2022 | Link |
| Massive MIMO for Serving Federated Learning and Non-Federated Learning Users | arXiv | 2022 | Link |
| Matching Pursuit Based Scheduling for Over-the-Air Federated Learning | arXiv | 2022 | Link |
| Maximizing Global Model Appeal in Federated Learning | arXiv | 2022 | Link |
| Measuring Lower Bounds of Local Differential Privacy via Adversary Instantiations in Federated Learning | arXiv | 2022 | Link |
| Mechanisms that Incentivize Data Sharing in Federated Learning | arXiv | 2022 | Link |
| Meta Knowledge Condensation for Federated Learning | arXiv | 2022 | Link |
| Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting | arXiv | 2022 | Link |
| MetaFed: Federated Learning among Federations with Cyclic Knowledge Distillation for Personalized Healthcare | arXiv | 2022 | Link |
| Minimax Demographic Group Fairness in Federated Learning | arXiv | 2022 | Link |
| Minimizing the Repayment Cost of Federal Student Loans | arXiv | 2022 | Link |
| Mitigating Biases in Student Performance Prediction via Attention-Based Personalized Federated Learning | arXiv | 2022 | Link |
| Mitigating Data Absence in Federated Learning Using Privacy-Controllable Data Digests | arXiv | 2022 | Link |
| Mitigating Data Heterogeneity in Federated Learning with Data Augmentation | arXiv | 2022 | Link |
| Mitigating the Performance Sacrifice in DP-Satisfied Federated Settings through Graph Contrastive Learning | arXiv | 2022 | Link |
| Mixed Federated Learning: Joint Decentralized and Centralized Learning | arXiv | 2022 | Link |
| Mobile Augmented Reality with Federated Learning in the Metaverse | arXiv | 2022 | Link |
| Mobility, Communication and Computation Aware Federated Learning for Internet of Vehicles | arXiv | 2022 | Link |
| Mobility-Aware Cooperative Caching in Vehicular Edge Computing Based on Asynchronous Federated and Deep Reinforcement Learning | arXiv | 2022 | Link |
| Modular Federated Learning | arXiv | 2022 | Link |
| ModularFed: Leveraging Modularity in Federated Learning Frameworks | arXiv | 2022 | Link |
| Momentum Gradient Descent Federated Learning with Local Differential Privacy | arXiv | 2022 | Link |
| More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks | arXiv | 2022 | Link |
| Motley: Benchmarking Heterogeneity and Personalization in Federated Learning | arXiv | 2022 | Link |
| Multi-Domain Virtual Network Embedding Algorithm based on Horizontal Federated Learning | arXiv | 2022 | Link |
| Multi-Edge Server-Assisted Dynamic Federated Learning with an Optimized Floating Aggregation Point | arXiv | 2022 | Link |
| Multi-Job Intelligent Scheduling with Cross-Device Federated Learning | arXiv | 2022 | Link |
| Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics | arXiv | 2022 | Link |
| Multi-Level Branched Regularization for Federated Learning | arXiv | 2022 | Link |
| Multi-Model Federated Learning | arXiv | 2022 | Link |
| Multi-Model Federated Learning with Provable Guarantees | arXiv | 2022 | Link |
| Multi-Resource Allocation for On-Device Distributed Federated Learning Systems | arXiv | 2022 | Link |
| Multi-Task Distributed Learning using Vision Transformer with Random Patch Permutation | arXiv | 2022 | Link |
| Multi-Task and Transfer Learning for Federated Learning Applications | arXiv | 2022 | Link |
| Multi-cell Non-coherent Over-the-Air Computation for Federated Edge Learning | arXiv | 2022 | Link |
| Multilingual Communication System with Deaf Individuals Utilizing Natural and Visual Languages | arXiv | 2022 | Link |
| Multiple Inputs Neural Networks for Medicare fraud Detection | arXiv | 2022 | Link |
| NET-FLEET: Achieving Linear Convergence Speedup for Fully Decentralized Federated Learning with Heterogeneous Data | arXiv | 2022 | Link |
| NVIDIA FLARE: Federated Learning from Simulation to Real-World | arXiv | 2022 | Link |
| Navigation as Attackers Wish? Towards Building Robust Embodied Agents under Federated Learning | arXiv | 2022 | Link |
| Near-Optimal Collaborative Learning in Bandits | arXiv | 2022 | Link |
| Network Gradient Descent Algorithm for Decentralized Federated Learning | arXiv | 2022 | Link |
| Network-Level Adversaries in Federated Learning | arXiv | 2022 | Link |
| Networked Signal and Information Processing | arXiv | 2022 | Link |
| Neurotoxin: Durable Backdoors in Federated Learning | arXiv | 2022 | Link |
| No Free Lunch Theorem for Security and Utility in Federated Learning | arXiv | 2022 | Link |
| Non-IID Quantum Federated Learning with One-shot Communication Complexity | arXiv | 2022 | Link |
| None Shall Pass: A blockchain-based federated identity management system | arXiv | 2022 | Link |
| Novel Information-theoretic Game-theoretical Insights to Broadcasting in Internet-of-UAVs | arXiv | 2022 | Link |
| ON-DEMAND-FL: A Dynamic and Efficient Multi-Criteria Federated Learning Client Deployment Scheme | arXiv | 2022 | Link |
| Oakestra white paper: An Orchestrator for Edge Computing | arXiv | 2022 | Link |
| Olive Branch Learning: A Topology-Aware Federated Learning Framework for Space-Air-Ground Integrated Network | arXiv | 2022 | Link |
| On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond | arXiv | 2022 | Link |
| On Decentralizing Federated Reinforcement Learning in Multi-Robot Scenarios | arXiv | 2022 | Link |
| On Distribution Grid Optimal Power Flow Development and Integration | arXiv | 2022 | Link |
| On Federated Learning with Energy Harvesting Clients | arXiv | 2022 | Link |
| On Kubernetes-aided Federated Database Systems | arXiv | 2022 | Link |
| On Multi-domain Network Slicing Orchestration Architecture & Federated Resource Control | arXiv | 2022 | Link |
| On Noisy Evaluation in Federated Hyperparameter Tuning | arXiv | 2022 | Link |
| On Privacy and Personalization in Cross-Silo Federated Learning | arXiv | 2022 | Link |
| On a federated architecture for utilizing domain-specific descriptive models. (Poster) | arXiv | 2022 | Link |
| On rectifiable measures in Carnot groups: Marstrand-Mattila rectifiability criterion | arXiv | 2022 | Link |
| On the Arithmetic and Geometric Fusion of Beliefs for Distributed Inference | arXiv | 2022 | Link |
| On the Convergence of Clustered Federated Learning | arXiv | 2022 | Link |
| On the Convergence of Heterogeneous Federated Learning with Arbitrary Adaptive Online Model Pruning | arXiv | 2022 | Link |
| On the Convergence of Momentum-Based Algorithms for Federated Bilevel Optimization Problems | arXiv | 2022 | Link |
| On the Convergence of Multi-Server Federated Learning with Overlapping Area | arXiv | 2022 | Link |
| On the Correctness of Speculative Consensus | arXiv | 2022 | Link |
| On the Decentralization of Blockchain-enabled Asynchronous Federated Learning | arXiv | 2022 | Link |
| On the Design of Communication-Efficient Federated Learning for Health Monitoring | arXiv | 2022 | Link |
| On the Energy and Communication Efficiency Tradeoffs in Federated and Multi-Task Learning | arXiv | 2022 | Link |
| On the Generalization of Wasserstein Robust Federated Learning | arXiv | 2022 | Link |
| On the Importance and Applicability of Pre-Training for Federated Learning | arXiv | 2022 | Link |
| On the Information Theoretic Secure Aggregation with Uncoded Groupwise Keys | arXiv | 2022 | Link |
| On the Performance of Gradient Tracking with Local Updates | arXiv | 2022 | Link |
| On the Specialization of FDRL Agents for Scalable and Distributed 6G RAN Slicing Orchestration | arXiv | 2022 | Link |
| On the Stability Analysis of Open Federated Learning Systems | arXiv | 2022 | Link |
| On the Unreasonable Effectiveness of Federated Averaging with Heterogeneous Data | arXiv | 2022 | Link |
| On the best lattice quantizers | arXiv | 2022 | Link |
| On the effectiveness of partial variance reduction in federated learning with heterogeneous data | arXiv | 2022 | Link |
| On the efficacy of the wisdom of crowds to forecast economic indicators | arXiv | 2022 | Link |
| On-Demand Sampling: Learning Optimally from Multiple Distributions | arXiv | 2022 | Link |
| One Gradient Frank-Wolfe for Decentralized Online Convex and Submodular Optimization | arXiv | 2022 | Link |
| One Model to Unite Them All: Personalized Federated Learning of Multi-Contrast MRI Synthesis | arXiv | 2022 | Link |
| One-shot Federated Learning without Server-side Training | arXiv | 2022 | Link |
| Online Auction-Based Incentive Mechanism Design for Horizontal Federated Learning with Budget Constraint | arXiv | 2022 | Link |
| Online Federated Learning via Non-Stationary Detection and Adaptation amidst Concept Drift | arXiv | 2022 | Link |
| Online Meta-Learning for Model Update Aggregation in Federated Learning for Click-Through Rate Prediction | arXiv | 2022 | Link |
| Online Model Compression for Federated Learning with Large Models | arXiv | 2022 | Link |
| Ontomathedu Ontology Enrichment Method | arXiv | 2022 | Link |
| Open Terminology Management and Sharing Toolkit for Federation of Terminology Databases | arXiv | 2022 | Link |
| Operational and Economy-Wide Impacts of Compound Cyberattacks and Extreme Weather Events on Electric Power Networks | arXiv | 2022 | Link |
| Optimal Complexity in Non-Convex Decentralized Learning over Time-Varying Networks | arXiv | 2022 | Link |
| Optimal MIMO Combining for Blind Federated Edge Learning with Gradient Sparsification | arXiv | 2022 | Link |
| Optimal Privacy Preserving for Federated Learning in Mobile Edge Computing | arXiv | 2022 | Link |
| Optimising Communication Overhead in Federated Learning Using NSGA-II | arXiv | 2022 | Link |
| Optimization with Access to Auxiliary Information | arXiv | 2022 | Link |
| Optimizing Performance of Federated Person Re-identification: Benchmarking and Analysis | arXiv | 2022 | Link |
| Optimizing text representations to capture (dis)similarity between political parties | arXiv | 2022 | Link |
| Optimizing the Communication-Accuracy Trade-off in Federated Learning with Rate-Distortion Theory | arXiv | 2022 | Link |
| Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering | arXiv | 2022 | Link |
| Orchestrating Collaborative Cybersecurity: A Secure Framework for Distributed Privacy-Preserving Threat Intelligence Sharing | arXiv | 2022 | Link |
| Over-The-Air Clustered Wireless Federated Learning | arXiv | 2022 | Link |
| Over-The-Air Federated Learning Over Scalable Cell-free Massive MIMO | arXiv | 2022 | Link |
| Over-The-Air Federated Learning under Byzantine Attacks | arXiv | 2022 | Link |
| Over-the-Air Computation Based on Balanced Number Systems for Federated Edge Learning | arXiv | 2022 | Link |
| Over-the-Air Computation for Distributed Systems: Something Old and Something New | arXiv | 2022 | Link |
| Over-the-Air Computation over Balanced Numerals | arXiv | 2022 | Link |
| Over-the-Air Design of GAN Training for mmWave MIMO Channel Estimation | arXiv | 2022 | Link |
| Over-the-Air Federated Edge Learning with Hierarchical Clustering | arXiv | 2022 | Link |
| Over-the-Air Federated Learning via Second-Order Optimization | arXiv | 2022 | Link |
| Over-the-Air Federated Learning with Energy Harvesting Devices | arXiv | 2022 | Link |
| Over-the-Air Federated Learning with Enhanced Privacy | arXiv | 2022 | Link |
| Over-the-Air Federated Learning with Joint Adaptive Computation and Power Control | arXiv | 2022 | Link |
| Over-the-Air Federated Multi-Task Learning via Model Sparsification and Turbo Compressed Sensing | arXiv | 2022 | Link |
| PEPPER: Empowering User-Centric Recommender Systems over Gossip Learning | arXiv | 2022 | Link |
| PHY-Fed: An Information-Theoretic Secure Aggregation in Federated Learning in Wireless Communications | arXiv | 2022 | Link |
| PP-MARL: Efficient Privacy-Preserving Multi-Agent Reinforcement Learning for Cooperative Intelligence in Communications | arXiv | 2022 | Link |
| PRANC: Pseudo RAndom Networks for Compacting deep models | arXiv | 2022 | Link |
| PaDPaF: Partial Disentanglement with Partially-Federated GANs | arXiv | 2022 | Link |
| Parallel Successive Learning for Dynamic Distributed Model Training over Heterogeneous Wireless Networks | arXiv | 2022 | Link |
| Partial Model Averaging in Federated Learning: Performance Guarantees and Benefits | arXiv | 2022 | Link |
| Partitioned Variational Inference: A Framework for Probabilistic Federated Learning | arXiv | 2022 | Link |
| PerDoor: Persistent Non-Uniform Backdoors in Federated Learning using Adversarial Perturbations | arXiv | 2022 | Link |
| PerFED-GAN: Personalized Federated Learning via Generative Adversarial Networks | arXiv | 2022 | Link |
| Performance Evaluation, Optimization and Dynamic Decision in Blockchain Systems: A Recent Overview | arXiv | 2022 | Link |
| Performance Optimization for Variable Bitwidth Federated Learning in Wireless Networks | arXiv | 2022 | Link |
| Performance-Oriented Design for Intelligent Reflecting Surface Assisted Federated Learning | arXiv | 2022 | Link |
| PersA-FL: Personalized Asynchronous Federated Learning | arXiv | 2022 | Link |
| Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning | arXiv | 2022 | Link |
| Personalized Decentralized Multi-Task Learning Over Dynamic Communication Graphs | arXiv | 2022 | Link |
| Personalized Federated Hypernetworks for Privacy Preservation in Multi-Task Reinforcement Learning | arXiv | 2022 | Link |
| Personalized Federated Learning With Graph | arXiv | 2022 | Link |
| Personalized Federated Learning for Multi-task Fault Diagnosis of Rotating Machinery | arXiv | 2022 | Link |
| Personalized Federated Learning via Convex Clustering | arXiv | 2022 | Link |
| Personalized Federated Learning via Variational Bayesian Inference | arXiv | 2022 | Link |
| Personalized Federated Learning with Communication Compression | arXiv | 2022 | Link |
| Personalized Federated Learning with Exact Stochastic Gradient Descent | arXiv | 2022 | Link |
| Personalized Federated Learning with Hidden Information on Personalized Prior | arXiv | 2022 | Link |
| Personalized Federated Learning with Multi-branch Architecture | arXiv | 2022 | Link |
| Personalized Federated Learning with Multiple Known Clusters | arXiv | 2022 | Link |
| Personalized Federated Learning with Server-Side Information | arXiv | 2022 | Link |
| Personalized Federated Recommendation via Joint Representation Learning, User Clustering, and Model Adaptation | arXiv | 2022 | Link |
| Personalized Federated Recommender Systems with Private and Partially Federated AutoEncoders | arXiv | 2022 | Link |
| Personalized PCA: Decoupling Shared and Unique Features | arXiv | 2022 | Link |
| Personalized Prediction of Future Lesion Activity and Treatment Effect in Multiple Sclerosis from Baseline MRI | arXiv | 2022 | Link |
| Personalized Subgraph Federated Learning | arXiv | 2022 | Link |
| Personalizing Federated Medical Image Segmentation via Local Calibration | arXiv | 2022 | Link |
| Personalizing or Not: Dynamically Personalized Federated Learning with Incentives | arXiv | 2022 | Link |
| Pi theorem formulation of flood mapping | arXiv | 2022 | Link |
| PiPar: Pipeline Parallelism for Collaborative Machine Learning | arXiv | 2022 | Link |
| Pisces: Efficient Federated Learning via Guided Asynchronous Training | arXiv | 2022 | Link |
| Plankton-FL: Exploration of Federated Learning for Privacy-Preserving Training of Deep Neural Networks for Phytoplankton Classification | arXiv | 2022 | Link |
| Playing catch-up in building an open research commons | arXiv | 2022 | Link |
| Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data | arXiv | 2022 | Link |
| Practical Vertical Federated Learning with Unsupervised Representation Learning | arXiv | 2022 | Link |
| Pre-hijacked accounts: An Empirical Study of Security Failures in User Account Creation on the Web | arXiv | 2022 | Link |
| Predictive GAN-powered Multi-Objective Optimization for Hybrid Federated Split Learning | arXiv | 2022 | Link |
| Preserving Privacy and Security in Federated Learning | arXiv | 2022 | Link |
| Pretrained Models for Multilingual Federated Learning | arXiv | 2022 | Link |
| Prioritizing municipal lead mitigation projects as a relaxed knapsack optimization: a method and case study | arXiv | 2022 | Link |
| PrivFairFL: Privacy-Preserving Group Fairness in Federated Learning | arXiv | 2022 | Link |
| PrivMVMF: Privacy-Preserving Multi-View Matrix Factorization for Recommender Systems | arXiv | 2022 | Link |
| Privacy Amplification via Random Participation in Federated Learning | arXiv | 2022 | Link |
| Privacy Sensitive Speech Analysis Using Federated Learning to Assess Depression | arXiv | 2022 | Link |
| Privacy of federated QR decomposition using additive secure multiparty computation | arXiv | 2022 | Link |
| Privacy-Aware Compression for Federated Data Analysis | arXiv | 2022 | Link |
| Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design | arXiv | 2022 | Link |
| Privacy-Preserving Aggregation in Federated Learning: A Survey | arXiv | 2022 | Link |
| Privacy-Preserving Federated Deep Clustering based on GAN | arXiv | 2022 | Link |
| Privacy-Preserving Federated Recurrent Neural Networks | arXiv | 2022 | Link |
| Privacy-Preserving Online Content Moderation: A Federated Learning Use Case | arXiv | 2022 | Link |
| Privacy-Preserving, Communication-Efficient, and Target-Flexible Hospital Quality Measurement | arXiv | 2022 | Link |
| Privacy-preserving Anomaly Detection in Cloud Manufacturing via Federated Transformer | arXiv | 2022 | Link |
| Privacy-preserving Decentralized Federated Learning over Time-varying Communication Graph | arXiv | 2022 | Link |
| Privacy-preserving Graph Analytics: Secure Generation and Federated Learning | arXiv | 2022 | Link |
| Privacy-preserving Intelligent Resource Allocation for Federated Edge Learning in Quantum Internet | arXiv | 2022 | Link |
| Privacy-preserving Speech Emotion Recognition through Semi-Supervised Federated Learning | arXiv | 2022 | Link |
| Privacy-preserving household load forecasting based on non-intrusive load monitoring: A federated deep learning approach | arXiv | 2022 | Link |
| Private Adaptive Optimization with Side Information | arXiv | 2022 | Link |
| Private Blind Model Averaging - Distributed, Non-interactive, and Convergent | arXiv | 2022 | Link |
| Private Federated Statistics in an Interactive Setting | arXiv | 2022 | Link |
| Private Federated Submodel Learning with Sparsification | arXiv | 2022 | Link |
| Private Non-Convex Federated Learning Without a Trusted Server | arXiv | 2022 | Link |
| Private Read Update Write (PRUW) with Storage Constrained Databases | arXiv | 2022 | Link |
| PrivateRec: Differentially Private Training and Serving for Federated News Recommendation | arXiv | 2022 | Link |
| Privatized Graph Federated Learning | arXiv | 2022 | Link |
| Probabilistic Analysis of Aircraft Using Multi-Fidelity Aerodynamics Databases | arXiv | 2022 | Link |
| Proceedings 38th International Conference on Logic Programming | arXiv | 2022 | Link |
| Proceedings of the 2022 XCSP3 Competition | arXiv | 2022 | Link |
| Production federated keyword spotting via distillation, filtering, and joint federated-centralized training | arXiv | 2022 | Link |
| PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models -- Federated Learning in Age of Foundation Model | arXiv | 2022 | Link |
| Proof of Federated Training: Accountable Cross-Network Model Training and Inference | arXiv | 2022 | Link |
| Proof of Swarm Based Ensemble Learning for Federated Learning Applications | arXiv | 2022 | Link |
| Proportional Fairness in Federated Learning | arXiv | 2022 | Link |
| Prospects of federated machine learning in fluid dynamics | arXiv | 2022 | Link |
| Protea: Client Profiling within Federated Systems using Flower | arXiv | 2022 | Link |
| Protecting Data from all Parties: Combining FHE and DP in Federated Learning | arXiv | 2022 | Link |
| Prototype-Based Layered Federated Cross-Modal Hashing | arXiv | 2022 | Link |
| Provably Doubly Accelerated Federated Learning: The First Theoretically Successful Combination of Local Training and Communication Compression | arXiv | 2022 | Link |
| ProxSkip: Yes! Local Gradient Steps Provably Lead to Communication Acceleration! Finally! | arXiv | 2022 | Link |
| Pseudo-Data based Self-Supervised Federated Learning for Classification of Histopathological Images | arXiv | 2022 | Link |
| QUIC-FL: Quick Unbiased Compression for Federated Learning | arXiv | 2022 | Link |
| Quality Assessment of the 20m SPOT DEM in Nigeria | arXiv | 2022 | Link |
| Quantifying the Impact of Label Noise on Federated Learning | arXiv | 2022 | Link |
| Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices | arXiv | 2022 | Link |
| Quantum Federated Learning for Distributed Quantum Networks | arXiv | 2022 | Link |
| Quantum Federated Learning with Entanglement Controlled Circuits and Superposition Coding | arXiv | 2022 | Link |
| Quantum Split Neural Network Learning using Cross-Channel Pooling | arXiv | 2022 | Link |
| Question Answering Over Biological Knowledge Graph via Amazon Alexa | arXiv | 2022 | Link |
| RFLBAT: A Robust Federated Learning Algorithm against Backdoor Attack | arXiv | 2022 | Link |
| RSCFed: Random Sampling Consensus Federated Semi-supervised Learning | arXiv | 2022 | Link |
| Racial Sentencing Disparities and Differential Progression Through the Criminal Justice System: Evidence From Linked Federal and State Court Data | arXiv | 2022 | Link |
| Random Orthogonalization for Federated Learning in Massive MIMO Systems | arXiv | 2022 | Link |
| Rate Distortion Tradeoff in Private Read Update Write in Federated Submodel Learning | arXiv | 2022 | Link |
| Rate-Convergence Tradeoff of Federated Learning over Wireless Channel | arXiv | 2022 | Link |
| Rate-Distortion Theoretic Bounds on Generalization Error for Distributed Learning | arXiv | 2022 | Link |
| ReBoot: Distributed statistical learning via refitting bootstrap samples | arXiv | 2022 | Link |
| ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences | arXiv | 2022 | Link |
| Recent Advances in Bayesian Optimization | arXiv | 2022 | Link |
| Recent Advances of Blockchain and its Applications | arXiv | 2022 | Link |
| Reconciling Security and Communication Efficiency in Federated Learning | arXiv | 2022 | Link |
| Reconstructing Training Data from Model Gradient, Provably | arXiv | 2022 | Link |
| Recovering Private Text in Federated Learning of Language Models | arXiv | 2022 | Link |
| Rectifiability of a class of integralgeometric measures and applications | arXiv | 2022 | Link |
| Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank? | arXiv | 2022 | Link |
| Reducing Impacts of System Heterogeneity in Federated Learning using Weight Update Magnitudes | arXiv | 2022 | Link |
| Reducing Training Time in Cross-Silo Federated Learning using Multigraph Topology | arXiv | 2022 | Link |
| Reducing US Biofuels Requirements Mitigates Short-term Impacts of Global Population and Income Growth on Agricultural Environmental Outcomes | arXiv | 2022 | Link |
| Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data | arXiv | 2022 | Link |
| Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning | arXiv | 2022 | Link |
| Remote Data Auditing and How it May Affect the Chain of Custody in a Cloud Environment | arXiv | 2022 | Link |
| ResFed: Communication Efficient Federated Learning by Transmitting Deep Compressed Residuals | arXiv | 2022 | Link |
| Resilient Execution of Data-triggered Applications on Edge, Fog and Cloud Resources | arXiv | 2022 | Link |
| Resource Allocation for Compression-aided Federated Learning with High Distortion Rate | arXiv | 2022 | Link |
| Resource Allocation of Federated Learning for the Metaverse with Mobile Augmented Reality | arXiv | 2022 | Link |
| Resource Constrained Vehicular Edge Federated Learning with Highly Mobile Connected Vehicles | arXiv | 2022 | Link |
| Resource Consumption for Supporting Federated Learning in Wireless Networks | arXiv | 2022 | Link |
| Resource Optimization for Blockchain-based Federated Learning in Mobile Edge Computing | arXiv | 2022 | Link |
| Resource-Aware Heterogeneous Federated Learning using Neural Architecture Search | arXiv | 2022 | Link |
| Resource-Constrained Decentralized Federated Learning via Personalized Event-Triggering | arXiv | 2022 | Link |
| Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks | arXiv | 2022 | Link |
| Rethinking Normalization Methods in Federated Learning | arXiv | 2022 | Link |
| Rethinking the Defense Against Free-rider Attack From the Perspective of Model Weight Evolving Frequency | arXiv | 2022 | Link |
| Revisiting Communication-Efficient Federated Learning with Balanced Global and Local Updates | arXiv | 2022 | Link |
| Reward Function Optimization of a Deep Reinforcement Learning Collision Avoidance System | arXiv | 2022 | Link |
| Reward Systems for Trustworthy Medical Federated Learning | arXiv | 2022 | Link |
| Risks to Zero Trust in a Federated Mission Partner Environment | arXiv | 2022 | Link |
| Robust Design of Federated Learning for Edge-Intelligent Networks | arXiv | 2022 | Link |
| Robust Federated Learning Against Adversarial Attacks for Speech Emotion Recognition | arXiv | 2022 | Link |
| Robust Federated Learning against both Data Heterogeneity and Poisoning Attack via Aggregation Optimization | arXiv | 2022 | Link |
| Robust Federated Learning with Connectivity Failures: A Semi-Decentralized Framework with Collaborative Relaying | arXiv | 2022 | Link |
| Robust Learning Protocol for Federated Tumor Segmentation Challenge | arXiv | 2022 | Link |
| Robust One Round Federated Learning with Predictive Space Bayesian Inference | arXiv | 2022 | Link |
| Robust Quantity-Aware Aggregation for Federated Learning | arXiv | 2022 | Link |
| Robust Semi-supervised Federated Learning for Images Automatic Recognition in Internet of Drones | arXiv | 2022 | Link |
| Robust Smart Home Face Recognition under Starving Federated Data | arXiv | 2022 | Link |
| Robust Split Federated Learning for U-shaped Medical Image Networks | arXiv | 2022 | Link |
| Robust and Efficient Aggregation for Distributed Learning | arXiv | 2022 | Link |
| SAFARI: Sparsity enabled Federated Learning with Limited and Unreliable Communications | arXiv | 2022 | Link |
| SAGDA: Achieving $\mathcal{O}(ε^{-2})$ Communication Complexity in Federated Min-Max Learning | arXiv | 2022 | Link |
| SCL: A Secure Concurrency Layer For Paranoid Stateful Lambdas | arXiv | 2022 | Link |
| SCOTCH: An Efficient Secure Computation Framework for Secure Aggregation | arXiv | 2022 | Link |
| SHED: A Newton-type algorithm for federated learning based on incremental Hessian eigenvector sharing | arXiv | 2022 | Link |
| SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization | arXiv | 2022 | Link |
| ST-FL: Style Transfer Preprocessing in Federated Learning for COVID-19 Segmentation | arXiv | 2022 | Link |
| SUPR: A Sparse Unified Part-Based Human Representation | arXiv | 2022 | Link |
| SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication | arXiv | 2022 | Link |
| Sample Optimality and All-for-all Strategies in Personalized Federated and Collaborative Learning | arXiv | 2022 | Link |
| Scalable Collaborative Learning via Representation Sharing | arXiv | 2022 | Link |
| Scalable Hierarchical Over-the-Air Federated Learning | arXiv | 2022 | Link |
| Scalable and Low-Latency Federated Learning with Cooperative Mobile Edge Networking | arXiv | 2022 | Link |
| ScaleSFL: A Sharding Solution for Blockchain-Based Federated Learning | arXiv | 2022 | Link |
| Scaling Language Model Size in Cross-Device Federated Learning | arXiv | 2022 | Link |
| Scaling Laws for Function Diversity and Specialization Across Socioeconomic and Biological Complex Systems | arXiv | 2022 | Link |
| Scheduling Algorithms for Federated Learning with Minimal Energy Consumption | arXiv | 2022 | Link |
| Scheduling and Aggregation Design for Asynchronous Federated Learning over Wireless Networks | arXiv | 2022 | Link |
| Scheduling for Ground-Assisted Federated Learning in LEO Satellite Constellations | arXiv | 2022 | Link |
| ScionFL: Efficient and Robust Secure Quantized Aggregation | arXiv | 2022 | Link |
| Secret Sharing Sharing For Highly Scalable Secure Aggregation | arXiv | 2022 | Link |
| Secure Aggregation Is Not All You Need: Mitigating Privacy Attacks with Noise Tolerance in Federated Learning | arXiv | 2022 | Link |
| Secure Aggregation for Federated Learning in Flower | arXiv | 2022 | Link |
| Secure Distributed/Federated Learning: Prediction-Privacy Trade-Off for Multi-Agent System | arXiv | 2022 | Link |
| Secure Embedding Aggregation for Federated Representation Learning | arXiv | 2022 | Link |
| Secure Federated Clustering | arXiv | 2022 | Link |
| Secure Shapley Value for Cross-Silo Federated Learning (Technical Report) | arXiv | 2022 | Link |
| Secure and Distributed Assessment of Privacy-Preserving Releases of GWAS | arXiv | 2022 | Link |
| SecureFedYJ: a safe feature Gaussianization protocol for Federated Learning | arXiv | 2022 | Link |
| Securing Federated Learning against Overwhelming Collusive Attackers | arXiv | 2022 | Link |
| Securing Federated Sensitive Topic Classification against Poisoning Attacks | arXiv | 2022 | Link |
| Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance | arXiv | 2022 | Link |
| Seeing without Looking: Analysis Pipeline for Child Sexual Abuse Datasets | arXiv | 2022 | Link |
| Self-Aware Personalized Federated Learning | arXiv | 2022 | Link |
| Self-supervised On-device Federated Learning from Unlabeled Streams | arXiv | 2022 | Link |
| Semi-Decentralized Federated Learning with Collaborative Relaying | arXiv | 2022 | Link |
| Semi-FedSER: Semi-supervised Learning for Speech Emotion Recognition On Federated Learning using Multiview Pseudo-Labeling | arXiv | 2022 | Link |
| Semi-Synchronous Personalized Federated Learning over Mobile Edge Networks | arXiv | 2022 | Link |
| SemiPFL: Personalized Semi-Supervised Federated Learning Framework for Edge Intelligence | arXiv | 2022 | Link |
| Server Free Wireless Federated Learning: Architecture, Algorithm, and Analysis | arXiv | 2022 | Link |
| Server-Side Stepsizes and Sampling Without Replacement Provably Help in Federated Optimization | arXiv | 2022 | Link |
| Service Delay Minimization for Federated Learning over Mobile Devices | arXiv | 2022 | Link |
| Serving Federated Learning and Non-Federated Learning Users: A Massive MIMO Approach | arXiv | 2022 | Link |
| Serving Hybrid-Cloud SQL Interactive Queries at Twitter | arXiv | 2022 | Link |
| Sharper Convergence Guarantees for Asynchronous SGD for Distributed and Federated Learning | arXiv | 2022 | Link |
| Sharper Rates and Flexible Framework for Nonconvex SGD with Client and Data Sampling | arXiv | 2022 | Link |
| Shielding Federated Learning: Mitigating Byzantine Attacks with Less Constraints | arXiv | 2022 | Link |
| Should Bank Stress Tests Be Fair? | arXiv | 2022 | Link |
| Shuffle Gaussian Mechanism for Differential Privacy | arXiv | 2022 | Link |
| Single-shot Hyper-parameter Optimization for Federated Learning: A General Algorithm & Analysis | arXiv | 2022 | Link |
| Skefl: Single-Key Homomorphic Encryption for Secure Federated Learning | arXiv | 2022 | Link |
| Sky Computing: Accelerating Geo-distributed Computing in Federated Learning | arXiv | 2022 | Link |
| SlimFL: Federated Learning with Superposition Coding over Slimmable Neural Networks | arXiv | 2022 | Link |
| Slimmable Quantum Federated Learning | arXiv | 2022 | Link |
| Smart Multi-tenant Federated Learning | arXiv | 2022 | Link |
| Snowmass '21 Community Engagement Frontier 6: Public Policy and Government Engagement: Congressional Advocacy for Areas Beyond HEP Funding | arXiv | 2022 | Link |
| Snowmass '21 Community Engagement Frontier 6: Public Policy and Government Engagement: Congressional Advocacy for HEP Funding (The "DC Trip'') | arXiv | 2022 | Link |
| Snowmass '21 Community Engagement Frontier 6: Public Policy and Government Engagement: Non-Congressional Government Engagement | arXiv | 2022 | Link |
| Snowmass 2021 Computational Frontier CompF4 Topical Group Report: Storage and Processing Resource Access | arXiv | 2022 | Link |
| Social Welfare Maximization in Cross-Silo Federated Learning | arXiv | 2022 | Link |
| Solving the Federated Edge Learning Participation Dilemma: A Truthful and Correlated Perspective | arXiv | 2022 | Link |
| SoteriaFL: A Unified Framework for Private Federated Learning with Communication Compression | arXiv | 2022 | Link |
| Sotto Voce: Federated Speech Recognition with Differential Privacy Guarantees | arXiv | 2022 | Link |
| Sparse Federated Learning with Hierarchical Personalized Models | arXiv | 2022 | Link |
| Sparse Random Networks for Communication-Efficient Federated Learning | arXiv | 2022 | Link |
| Spatial-Temporal Federated Learning for Lifelong Person Re-identification on Distributed Edges | arXiv | 2022 | Link |
| Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients | arXiv | 2022 | Link |
| SphereFed: Hyperspherical Federated Learning | arXiv | 2022 | Link |
| Split Federated Learning on Micro-controllers: A Keyword Spotting Showcase | arXiv | 2022 | Link |
| Split Two-Tower Model for Efficient and Privacy-Preserving Cross-device Federated Recommendation | arXiv | 2022 | Link |
| SplitGP: Achieving Both Generalization and Personalization in Federated Learning | arXiv | 2022 | Link |
| StatMix: Data augmentation method that relies on image statistics in federated learning | arXiv | 2022 | Link |
| Statistical Detection of Adversarial examples in Blockchain-based Federated Forest In-vehicle Network Intrusion Detection Systems | arXiv | 2022 | Link |
| Stochastic Coded Federated Learning with Convergence and Privacy Guarantees | arXiv | 2022 | Link |
| Stochastic Coded Federated Learning: Theoretical Analysis and Incentive Mechanism Design | arXiv | 2022 | Link |
| Straggler-Resilient Personalized Federated Learning | arXiv | 2022 | Link |
| Strategy Discovery and Mixture in Lifelong Learning from Heterogeneous Demonstration | arXiv | 2022 | Link |
| Study of the performance and scalability of federated learning for medical imaging with intermittent clients | arXiv | 2022 | Link |
| Studying the Impact of Data Disclosure Mechanism in Recommender Systems via Simulation | arXiv | 2022 | Link |
| Subject Granular Differential Privacy in Federated Learning | arXiv | 2022 | Link |
| Subspace Recovery from Heterogeneous Data with Non-isotropic Noise | arXiv | 2022 | Link |
| Summary Report Topical Group on Application and Industry Community Engagement Frontier Snowmass 2021 | arXiv | 2022 | Link |
| Supernet Training for Federated Image Classification under System Heterogeneity | arXiv | 2022 | Link |
| Suppressing Noise from Built Environment Datasets to Reduce Communication Rounds for Convergence of Federated Learning | arXiv | 2022 | Link |
| Suppressing Poisoning Attacks on Federated Learning for Medical Imaging | arXiv | 2022 | Link |
| Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges | arXiv | 2022 | Link |
| SwiftAgg+: Achieving Asymptotically Optimal Communication Loads in Secure Aggregation for Federated Learning | arXiv | 2022 | Link |
| SwiftAgg: Communication-Efficient and Dropout-Resistant Secure Aggregation for Federated Learning with Worst-Case Security Guarantees | arXiv | 2022 | Link |
| Systems Challenges for Trustworthy Embodied Systems | arXiv | 2022 | Link |
| TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels | arXiv | 2022 | Link |
| TEE-based decentralized recommender systems: The raw data sharing redemption | arXiv | 2022 | Link |
| TEFL: Turbo Explainable Federated Learning for 6G Trustworthy Zero-Touch Network Slicing | arXiv | 2022 | Link |
| TMIC: App Inventor Extension for the Deployment of Image Classification Models Exported from Teachable Machine | arXiv | 2022 | Link |
| Tackling Data Heterogeneity in Federated Learning with Class Prototypes | arXiv | 2022 | Link |
| Taming Fat-Tailed ("Heavier-Tailed'' with Potentially Infinite Variance) Noise in Federated Learning | arXiv | 2022 | Link |
| Task-load-Aware Game-Theoretic Framework for Wireless Federated Learning | arXiv | 2022 | Link |
| Techtile -- Open 6G R&D Testbed for Communication, Positioning, Sensing, WPT and Federated Learning | arXiv | 2022 | Link |
| Tensor Decomposition based Personalized Federated Learning | arXiv | 2022 | Link |
| Terahertz-Band Channel and Beam Split Estimation via Array Perturbation Model | arXiv | 2022 | Link |
| Test-Time Robust Personalization for Federated Learning | arXiv | 2022 | Link |
| The APC Algorithm of Solving Large-Scale Linear Systems: A Generalized Analysis | arXiv | 2022 | Link |
| The Cost of Training Machine Learning Models over Distributed Data Sources | arXiv | 2022 | Link |
| The Data Airlock: infrastructure for restricted data informatics | arXiv | 2022 | Link |
| The Fundamental Price of Secure Aggregation in Differentially Private Federated Learning | arXiv | 2022 | Link |
| The History of the Grid | arXiv | 2022 | Link |
| The Impact of the #MeToo Movement on Language at Court -- A text-based causal inference approach | arXiv | 2022 | Link |
| The International Lattice Data Grid -- towards FAIR Data | arXiv | 2022 | Link |
| The LBNL Superfacility Project Report | arXiv | 2022 | Link |
| The NLP Sandbox: an efficient model-to-data system to enable federated and unbiased evaluation of clinical NLP models | arXiv | 2022 | Link |
| The Poisson binomial mechanism for secure and private federated learning | arXiv | 2022 | Link |
| The communication cost of security and privacy in federated frequency estimation | arXiv | 2022 | Link |
| Tides Need STEMMED: A Locally Operating Spatio-Temporal Mutually Exciting Point Process with Dynamic Network for Improving Opioid Overdose Death Prediction | arXiv | 2022 | Link |
| Tighter Regret Analysis and Optimization of Online Federated Learning | arXiv | 2022 | Link |
| Time Minimization in Hierarchical Federated Learning | arXiv | 2022 | Link |
| Time-Correlated Sparsification for Efficient Over-the-Air Model Aggregation in Wireless Federated Learning | arXiv | 2022 | Link |
| Time-triggered Federated Learning over Wireless Networks | arXiv | 2022 | Link |
| To Store or Not? Online Data Selection for Federated Learning with Limited Storage | arXiv | 2022 | Link |
| TorchFL: A Performant Library for Bootstrapping Federated Learning Experiments | arXiv | 2022 | Link |
| Toward Ambient Intelligence: Federated Edge Learning with Task-Oriented Sensing, Computation, and Communication Integration | arXiv | 2022 | Link |
| Toward Data Heterogeneity of Federated Learning | arXiv | 2022 | Link |
| Towards Assessing Data Bias in Clinical Trials | arXiv | 2022 | Link |
| Towards Collaborative Intelligence: Routability Estimation based on Decentralized Private Data | arXiv | 2022 | Link |
| Towards Communication Efficient and Fair Federated Personalized Sequential Recommendation | arXiv | 2022 | Link |
| Towards Communication-Learning Trade-off for Federated Learning at the Network Edge | arXiv | 2022 | Link |
| Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Updates | arXiv | 2022 | Link |
| Towards Effective Clustered Federated Learning: A Peer-to-peer Framework with Adaptive Neighbor Matching | arXiv | 2022 | Link |
| Towards Efficient Communications in Federated Learning: A Contemporary Survey | arXiv | 2022 | Link |
| Towards Energy Efficient Distributed Federated Learning for 6G Networks | arXiv | 2022 | Link |
| Towards Energy-Aware Federated Learning on Battery-Powered Clients | arXiv | 2022 | Link |
| Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity | arXiv | 2022 | Link |
| Towards Fairness-Aware Multi-Objective Optimization | arXiv | 2022 | Link |
| Towards Fast and Accurate Federated Learning with non-IID Data for Cloud-Based IoT Applications | arXiv | 2022 | Link |
| Towards Federated Clustering: A Federated Fuzzy $c$-Means Algorithm (FFCM) | arXiv | 2022 | Link |
| Towards Federated Long-Tailed Learning | arXiv | 2022 | Link |
| Towards Fleet-wide Sharing of Wind Turbine Condition Information through Privacy-preserving Federated Learning | arXiv | 2022 | Link |
| Towards Group Learning: Distributed Weighting of Experts | arXiv | 2022 | Link |
| Towards Lifelong Federated Learning in Autonomous Mobile Robots with Continuous Sim-to-Real Transfer | arXiv | 2022 | Link |
| Towards More Efficient Data Valuation in Healthcare Federated Learning using Ensembling | arXiv | 2022 | Link |
| Towards Multi-Objective Statistically Fair Federated Learning | arXiv | 2022 | Link |
| Towards Practical Few-shot Federated NLP | arXiv | 2022 | Link |
| Towards Privacy-Aware Causal Structure Learning in Federated Setting | arXiv | 2022 | Link |
| Towards Privacy-Preserving and Verifiable Federated Matrix Factorization | arXiv | 2022 | Link |
| Towards Quantum-Enabled 6G Slicing | arXiv | 2022 | Link |
| Towards Tailored Models on Private AIoT Devices: Federated Direct Neural Architecture Search | arXiv | 2022 | Link |
| Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning | arXiv | 2022 | Link |
| Towards Verifiable Federated Learning | arXiv | 2022 | Link |
| Towards a Defense Against Federated Backdoor Attacks Under Continuous Training | arXiv | 2022 | Link |
| Towards a Dynamic Composability Approach for using Heterogeneous Systems in Remote Sensing | arXiv | 2022 | Link |
| Towards a Secure and Reliable Federated Learning using Blockchain | arXiv | 2022 | Link |
| Towards an Accountable and Reproducible Federated Learning: A FactSheets Approach | arXiv | 2022 | Link |
| Towards cost-effective and resource-aware aggregation at Edge for Federated Learning | arXiv | 2022 | Link |
| Towards federated multivariate statistical process control (FedMSPC) | arXiv | 2022 | Link |
| Towards the Practical Utility of Federated Learning in the Medical Domain | arXiv | 2022 | Link |
| Tracking environmental policy changes in the Brazilian Federal Official Gazette | arXiv | 2022 | Link |
| Training Large-Vocabulary Neural Language Models by Private Federated Learning for Resource-Constrained Devices | arXiv | 2022 | Link |
| Training Mixed-Domain Translation Models via Federated Learning | arXiv | 2022 | Link |
| Training a Tokenizer for Free with Private Federated Learning | arXiv | 2022 | Link |
| Transmit Power Control for Indoor Small Cells: A Method Based on Federated Reinforcement Learning | arXiv | 2022 | Link |
| Trustworthy Federated Learning via Blockchain | arXiv | 2022 | Link |
| Try to Avoid Attacks: A Federated Data Sanitization Defense for Healthcare IoMT Systems | arXiv | 2022 | Link |
| Two Models are Better than One: Federated Learning Is Not Private For Google GBoard Next Word Prediction | arXiv | 2022 | Link |
| Two-Hop Age of Information Scheduling for Multi-UAV Assisted Mobile Edge Computing: FRL vs MADDPG | arXiv | 2022 | Link |
| UA-FedRec: Untargeted Attack on Federated News Recommendation | arXiv | 2022 | Link |
| UAV-Aided Multi-Community Federated Learning | arXiv | 2022 | Link |
| UAV-Assisted Hierarchical Aggregation for Over-the-Air Federated Learning | arXiv | 2022 | Link |
| Unbounded Gradients in Federated Learning with Buffered Asynchronous Aggregation | arXiv | 2022 | Link |
| Uncertainty Minimization for Personalized Federated Semi-Supervised Learning | arXiv | 2022 | Link |
| Understanding A Class of Decentralized and Federated Optimization Algorithms: A Multi-Rate Feedback Control Perspective | arXiv | 2022 | Link |
| Unexpectedly Useful: Convergence Bounds And Real-World Distributed Learning | arXiv | 2022 | Link |
| UniFed: All-In-One Federated Learning Platform to Unify Open-Source Frameworks | arXiv | 2022 | Link |
| Universal EHR Federated Learning Framework | arXiv | 2022 | Link |
| Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks | arXiv | 2022 | Link |
| Unsupervised Data Splitting Scheme for Federated Edge Learning in IoT Networks | arXiv | 2022 | Link |
| Unsupervised Machine Learning for Explainable Health Care Fraud Detection | arXiv | 2022 | Link |
| Unsupervised Recurrent Federated Learning for Edge Popularity Prediction in Privacy-Preserving Mobile Edge Computing Networks | arXiv | 2022 | Link |
| Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense | arXiv | 2022 | Link |
| Update Compression for Deep Neural Networks on the Edge | arXiv | 2022 | Link |
| Upper and lower bounds on the filling radius | arXiv | 2022 | Link |
| Using Autoencoders on Differentially Private Federated Learning GANs | arXiv | 2022 | Link |
| Using adversarial images to improve outcomes of federated learning for non-IID data | arXiv | 2022 | Link |
| VFed-SSD: Towards Practical Vertical Federated Advertising | arXiv | 2022 | Link |
| Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning | arXiv | 2022 | Link |
| Variance Reduction is an Antidote to Byzantines: Better Rates, Weaker Assumptions and Communication Compression as a Cherry on the Top | arXiv | 2022 | Link |
| Variance-Reduced Heterogeneous Federated Learning via Stratified Client Selection | arXiv | 2022 | Link |
| Variational problems for integral invariants of the second fundamental form of a map between pseudo-Riemannian manifolds | arXiv | 2022 | Link |
| VeriFi: Towards Verifiable Federated Unlearning | arXiv | 2022 | Link |
| Versatile Single-Loop Method for Gradient Estimator: First and Second Order Optimality, and its Application to Federated Learning | arXiv | 2022 | Link |
| VertiBayes: Learning Bayesian network parameters from vertically partitioned data with missing values | arXiv | 2022 | Link |
| Vertical Federated Edge Learning with Distributed Integrated Sensing and Communication | arXiv | 2022 | Link |
| Vertical Federated Learning: A Structured Literature Review | arXiv | 2022 | Link |
| Vertical Federated Learning: Challenges, Methodologies and Experiments | arXiv | 2022 | Link |
| Vertical Federated Learning: Concepts, Advances and Challenges | arXiv | 2022 | Link |
| Vertical Federated Linear Contextual Bandits | arXiv | 2022 | Link |
| Vertical Federated Principal Component Analysis and Its Kernel Extension on Feature-wise Distributed Data | arXiv | 2022 | Link |
| Vertical Semi-Federated Learning for Efficient Online Advertising | arXiv | 2022 | Link |
| Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning | arXiv | 2022 | Link |
| Visualization Design Practices in a Crisis: Behind the Scenes with COVID-19 Dashboard Creators | arXiv | 2022 | Link |
| Walk for Learning: A Random Walk Approach for Federated Learning from Heterogeneous Data | arXiv | 2022 | Link |
| Warmup and Transfer Knowledge-Based Federated Learning Approach for IoT Continuous Authentication | arXiv | 2022 | Link |
| Watermarking in Secure Federated Learning: A Verification Framework Based on Client-Side Backdooring | arXiv | 2022 | Link |
| Weighted verification tools to evaluate univariate and multivariate forecasts for high-impact weather events | arXiv | 2022 | Link |
| Well-posedness properties of geometric variational problems: existence, regularity and uniqueness results | arXiv | 2022 | Link |
| When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing | arXiv | 2022 | Link |
| When Do Curricula Work in Federated Learning? | arXiv | 2022 | Link |
| When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning Methods | arXiv | 2022 | Link |
| Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning | arXiv | 2022 | Link |
| Wind Power Forecasting Considering Data Privacy Protection: A Federated Deep Reinforcement Learning Approach | arXiv | 2022 | Link |
| Wireless Ad Hoc Federated Learning: A Fully Distributed Cooperative Machine Learning | arXiv | 2022 | Link |
| Wireless Quantized Federated Learning: A Joint Computation and Communication Design | arXiv | 2022 | Link |
| WrapperFL: A Model Agnostic Plug-in for Industrial Federated Learning | arXiv | 2022 | Link |
| X-CAR: An Experimental Vehicle Platform for Connected Autonomy Research Powered by CARMA | arXiv | 2022 | Link |
| XMAM:X-raying Models with A Matrix to Reveal Backdoor Attacks for Federated Learning | arXiv | 2022 | Link |
| Zero Trust Federation: Sharing Context under User Control toward Zero Trust in Identity Federation | arXiv | 2022 | Link |
| eFedDNN: Ensemble based Federated Deep Neural Networks for Trajectory Mode Inference | arXiv | 2022 | Link |
| funcX: Federated Function as a Service for Science | arXiv | 2022 | Link |
| pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning | arXiv | 2022 | Link |
| sqSGD: Locally Private and Communication Efficient Federated Learning | arXiv | 2022 | Link |
| zPROBE: Zero Peek Robustness Checks for Federated Learning | arXiv | 2022 | Link |
2021
| Title | Venue | Year | Link |
|---|---|---|---|
| 1-Bit Compressive Sensing for Efficient Federated Learning Over the Air | arXiv | 2021 | Link |
| 6G V2X Technologies and Orchestrated Sensing for Autonomous Driving | arXiv | 2021 | Link |
| A Bayesian Federated Learning Framework with Online Laplace Approximation | arXiv | 2021 | Link |
| A Blockchain based Federated Learning for Message Dissemination in Vehicular Networks | arXiv | 2021 | Link |
| A Comprehensive Survey of Incentive Mechanism for Federated Learning | arXiv | 2021 | Link |
| A Contract Theory based Incentive Mechanism for Federated Learning | arXiv | 2021 | Link |
| A Coupled Design of Exploiting Record Similarity for Practical Vertical Federated Learning | arXiv | 2021 | Link |
| A Credibility-aware Swarm-Federated Deep Learning Framework in Internet of Vehicles | arXiv | 2021 | Link |
| A Cyber Threat Intelligence Sharing Scheme based on Federated Learning for Network Intrusion Detection | arXiv | 2021 | Link |
| A Decentralized Federated Learning Framework via Committee Mechanism with Convergence Guarantee | arXiv | 2021 | Link |
| A Deep Learning Perspective on Connected Automated Vehicle (CAV) Cybersecurity and Threat Intelligence | arXiv | 2021 | Link |
| A Feasibility Study of Differentially Private Summary Statistics and Regression Analyses with Evaluations on Administrative and Survey Data | arXiv | 2021 | Link |
| A Federated Data-Driven Evolutionary Algorithm for Expensive Multi/Many-objective Optimization | arXiv | 2021 | Link |
| A Federated Learning Aggregation Algorithm for Pervasive Computing: Evaluation and Comparison | arXiv | 2021 | Link |
| A Federated Learning Framework for Smart Grids: Securing Power Traces in Collaborative Learning | arXiv | 2021 | Link |
| A Federated Semi-Supervised Learning Approach for Network Traffic Classification | arXiv | 2021 | Link |
| A Field Guide to Federated Optimization | arXiv | 2021 | Link |
| A Framework for Energy and Carbon Footprint Analysis of Distributed and Federated Edge Learning | arXiv | 2021 | Link |
| A Framework for Federated SPARQL Query Processing over Heterogeneous Linked Data Fragments | arXiv | 2021 | Link |
| A GIS Data Realistic Road Generation Approach for Traffic Simulation | arXiv | 2021 | Link |
| A Game-Theoretic Approach for Hierarchical Epidemic Control | arXiv | 2021 | Link |
| A General Theory for Client Sampling in Federated Learning | arXiv | 2021 | Link |
| A Graph Federated Architecture with Privacy Preserving Learning | arXiv | 2021 | Link |
| A Hybrid Architecture for Federated and Centralized Learning | arXiv | 2021 | Link |
| A Lightweight, Anonymous and Confidential Genomic Computing for Industrial Scale Deployment | arXiv | 2021 | Link |
| A Marketplace for Trading AI Models based on Blockchain and Incentives for IoT Data | arXiv | 2021 | Link |
| A Mental Trespass? Unveiling Truth, Exposing Thoughts and Threatening Civil Liberties with Non-Invasive AI Lie Detection | arXiv | 2021 | Link |
| A Metamodel and Framework for Artificial General Intelligence From Theory to Practice | arXiv | 2021 | Link |
| A Method to Reveal Speaker Identity in Distributed ASR Training, and How to Counter It | arXiv | 2021 | Link |
| A Model using agile methodologies for defining metrics to be used by the Public Sector in Brazil to set remuneration for outsourced software development | arXiv | 2021 | Link |
| A National Research Agenda for Intelligent Infrastructure: 2021 Update | arXiv | 2021 | Link |
| A New Look and Convergence Rate of Federated Multi-Task Learning with Laplacian Regularization | arXiv | 2021 | Link |
| A Non-parametric View of FedAvg and FedProx: Beyond Stationary Points | arXiv | 2021 | Link |
| A Novel Attribute Reconstruction Attack in Federated Learning | arXiv | 2021 | Link |
| A Novel Optimized Asynchronous Federated Learning Framework | arXiv | 2021 | Link |
| A Payload Optimization Method for Federated Recommender Systems | arXiv | 2021 | Link |
| A Personalized Federated Learning Algorithm: an Application in Anomaly Detection | arXiv | 2021 | Link |
| A Privacy-Preserving Approach to Extraction of Personal Information through Automatic Annotation and Federated Learning | arXiv | 2021 | Link |
| A Stochastic Operator Framework for Optimization and Learning with Sub-Weibull Errors | arXiv | 2021 | Link |
| A Survey and Comparative Study on Multi-Cloud Architectures: Emerging Issues And Challenges For Cloud Federation | arXiv | 2021 | Link |
| A Survey on Federated Learning and its Applications for Accelerating Industrial Internet of Things | arXiv | 2021 | Link |
| A Tale of Three Datasets: Towards Characterizing Mobile Broadband Access in the United States | arXiv | 2021 | Link |
| A Tree-based Model Averaging Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources | arXiv | 2021 | Link |
| A Vertical Federated Learning Framework for Graph Convolutional Network | arXiv | 2021 | Link |
| A Vertical Federated Learning Framework for Horizontally Partitioned Labels | arXiv | 2021 | Link |
| A Vertical Federated Learning Method For Multi-Institutional Credit Scoring: MICS | arXiv | 2021 | Link |
| A Wasserstein Minimax Framework for Mixed Linear Regression | arXiv | 2021 | Link |
| A distillation-based approach integrating continual learning and federated learning for pervasive services | arXiv | 2021 | Link |
| A first look into the carbon footprint of federated learning | arXiv | 2021 | Link |
| A novel S-shape based NURBS interpolation with acc-jerk- Continuity and round-off error elimination | arXiv | 2021 | Link |
| A public micro pension programme in Brazil: Heterogeneity among states and setting up of benefit age adjustment | arXiv | 2021 | Link |
| A study on Ensemble Learning for Time Series Forecasting and the need for Meta-Learning | arXiv | 2021 | Link |
| ABC-FL: Anomalous and Benign client Classification in Federated Learning | arXiv | 2021 | Link |
| AI Assurance using Causal Inference: Application to Public Policy | arXiv | 2021 | Link |
| AI Federalism: Shaping AI Policy within States in Germany | arXiv | 2021 | Link |
| AMI-FML: A Privacy-Preserving Federated Machine Learning Framework for AMI | arXiv | 2021 | Link |
| ANITA: An Optimal Loopless Accelerated Variance-Reduced Gradient Method | arXiv | 2021 | Link |
| Accelerated Gradient Descent Learning over Multiple Access Fading Channels | arXiv | 2021 | Link |
| Accelerated Gradient Tracking over Time-varying Graphs for Decentralized Optimization | arXiv | 2021 | Link |
| Accelerating Federated Edge Learning via Optimized Probabilistic Device Scheduling | arXiv | 2021 | Link |
| Accelerating Federated Learning with a Global Biased Optimiser | arXiv | 2021 | Link |
| Accumulative Poisoning Attacks on Real-time Data | arXiv | 2021 | Link |
| Accuracy and Privacy Evaluations of Collaborative Data Analysis | arXiv | 2021 | Link |
| Accuracy, Repeatability, and Reproducibility of Firearm Comparisons Part 1: Accuracy | arXiv | 2021 | Link |
| Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning | arXiv | 2021 | Link |
| Achieving Model Fairness in Vertical Federated Learning | arXiv | 2021 | Link |
| AdaSplit: Adaptive Trade-offs for Resource-constrained Distributed Deep Learning | arXiv | 2021 | Link |
| Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning | arXiv | 2021 | Link |
| Adaptive ABAC Policy Learning: A Reinforcement Learning Approach | arXiv | 2021 | Link |
| Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback | arXiv | 2021 | Link |
| Adaptive Quantization of Model Updates for Communication-Efficient Federated Learning | arXiv | 2021 | Link |
| Adaptive Scheduling for Machine Learning Tasks over Networks | arXiv | 2021 | Link |
| Adaptive Transmission Scheduling in Wireless Networks for Asynchronous Federated Learning | arXiv | 2021 | Link |
| Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning | arXiv | 2021 | Link |
| Advancing Artificial Intelligence and Machine Learning in the U.S. Government Through Improved Public Competitions | arXiv | 2021 | Link |
| Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence | arXiv | 2021 | Link |
| Adversarial training in communication constrained federated learning | arXiv | 2021 | Link |
| Aegis: A Trusted, Automatic and Accurate Verification Framework for Vertical Federated Learning | arXiv | 2021 | Link |
| Aggregate or Not? Exploring Where to Privatize in DNN Based Federated Learning Under Different Non-IID Scenes | arXiv | 2021 | Link |
| Aggregation Delayed Federated Learning | arXiv | 2021 | Link |
| Algorithm Fairness in AI for Medicine and Healthcare | arXiv | 2021 | Link |
| An Analysis of COVID-19 Knowledge Graph Construction and Applications | arXiv | 2021 | Link |
| An Android App for Digital Transport Cards of Smart City: Request for Suggestions | arXiv | 2021 | Link |
| An Assessment of the AI Regulation Proposed by the European Commission | arXiv | 2021 | Link |
| An Efficient Federated Distillation Learning System for Multi-task Time Series Classification | arXiv | 2021 | Link |
| An Empirical Evaluation of Cost-based Federated SPARQL Query Processing Engines | arXiv | 2021 | Link |
| An Energy Consumption Model for Electrical Vehicle Networks via Extended Federated-learning | arXiv | 2021 | Link |
| An Expectation-Maximization Perspective on Federated Learning | arXiv | 2021 | Link |
| An Experiment Study on Federated LearningTestbed | arXiv | 2021 | Link |
| An Experimental Study of Class Imbalance in Federated Learning | arXiv | 2021 | Link |
| An Experimental Study of Data Heterogeneity in Federated Learning Methods for Medical Imaging | arXiv | 2021 | Link |
| An Information-Theoretic Analysis of The Cost of Decentralization for Learning and Inference Under Privacy Constraints | arXiv | 2021 | Link |
| An Open Natural Language Processing Development Framework for EHR-based Clinical Research: A case demonstration using the National COVID Cohort Collaborative (N3C) | arXiv | 2021 | Link |
| An Operator Splitting View of Federated Learning | arXiv | 2021 | Link |
| An Optimization Framework for Federated Edge Learning | arXiv | 2021 | Link |
| An Optimization of Fractal Microstrip Patch Antenna with Partial Ground using Genetic Algorithm Method | arXiv | 2021 | Link |
| An Overview of Federated Learning at the Edge and Distributed Ledger Technologies for Robotic and Autonomous Systems | arXiv | 2021 | Link |
| Analysis and Evaluation of Synchronous and Asynchronous FLchain | arXiv | 2021 | Link |
| Anarchic Federated Learning | arXiv | 2021 | Link |
| Anomaly Localization in Model Gradients Under Backdoor Attacks Against Federated Learning | arXiv | 2021 | Link |
| Applicability of Large Corporate Credit Models to Small Business Risk Assessment | arXiv | 2021 | Link |
| Application of Homomorphic Encryption in Medical Imaging | arXiv | 2021 | Link |
| Applications of Federated Learning in Smart Cities: Recent Advances, Taxonomy, and Open Challenges | arXiv | 2021 | Link |
| Architectural Patterns for the Design of Federated Learning Systems | arXiv | 2021 | Link |
| Aristotle Cloud Federation: Container Runtimes Technical Report | arXiv | 2021 | Link |
| Artificial Intelligence Driven UAV-NOMA-MEC in Next Generation Wireless Networks | arXiv | 2021 | Link |
| Artificial intelligence across company borders | arXiv | 2021 | Link |
| Aspect-based Sentiment Analysis in Document -- FOMC Meeting Minutes on Economic Projection | arXiv | 2021 | Link |
| Asynchronous Federated Learning for Sensor Data with Concept Drift | arXiv | 2021 | Link |
| Asynchronous Semi-Decentralized Federated Edge Learning for Heterogeneous Clients | arXiv | 2021 | Link |
| Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits | arXiv | 2021 | Link |
| Attentive Federated Learning for Concept Drift in Distributed 5G Edge Networks | arXiv | 2021 | Link |
| Auction Based Clustered Federated Learning in Mobile Edge Computing System | arXiv | 2021 | Link |
| Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation | arXiv | 2021 | Link |
| Auto-weighted Robust Federated Learning with Corrupted Data Sources | arXiv | 2021 | Link |
| AutoLAW: Augmented Legal Reasoning through Legal Precedent Prediction | arXiv | 2021 | Link |
| BEV-SGD: Best Effort Voting SGD for Analog Aggregation Based Federated Learning against Byzantine Attackers | arXiv | 2021 | Link |
| BLINDTRUST: Oblivious Remote Attestation for Secure Service Function Chains | arXiv | 2021 | Link |
| BROADCAST: Reducing Both Stochastic and Compression Noise to Robustify Communication-Efficient Federated Learning | arXiv | 2021 | Link |
| Backdoor Attacks on Federated Learning with Lottery Ticket Hypothesis | arXiv | 2021 | Link |
| Bandwidth Allocation for Multiple Federated Learning Services in Wireless Edge Networks | arXiv | 2021 | Link |
| Baryon Acoustic Oscillations from Integrated Neutral Gas Observations: an instrument to observe the 21cm hydrogen line in the redshift range 0.13 $<$ z $<$ 0.45 -- status update | arXiv | 2021 | Link |
| Basis Matters: Better Communication-Efficient Second Order Methods for Federated Learning | arXiv | 2021 | Link |
| Battery-constrained Federated Edge Learning in UAV-enabled IoT for B5G/6G Networks | arXiv | 2021 | Link |
| Bayesian AirComp with Sign-Alignment Precoding for Wireless Federated Learning | arXiv | 2021 | Link |
| Bayesian Framework for Gradient Leakage | arXiv | 2021 | Link |
| Bayesian Variational Federated Learning and Unlearning in Decentralized Networks | arXiv | 2021 | Link |
| BeFaaS: An Application-Centric Benchmarking Framework for FaaS Platforms | arXiv | 2021 | Link |
| Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning | arXiv | 2021 | Link |
| Benchmarking Differential Privacy and Federated Learning for BERT Models | arXiv | 2021 | Link |
| Benchmarking Modern Named Entity Recognition Techniques for Free-text Health Record De-identification | arXiv | 2021 | Link |
| Benefits, Challenges and Contributors to Success for National eHealth Systems Implementation: A Scoping Review | arXiv | 2021 | Link |
| Bias-Free FedGAN: A Federated Approach to Generate Bias-Free Datasets | arXiv | 2021 | Link |
| Bias-Variance Reduced Local SGD for Less Heterogeneous Federated Learning | arXiv | 2021 | Link |
| Bit-efficient Numerical Aggregation and Stronger Privacy for Trust in Federated Analytics | arXiv | 2021 | Link |
| Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation | arXiv | 2021 | Link |
| Blockchain Assisted Federated Learning over Wireless Channels: Dynamic Resource Allocation and Client Scheduling | arXiv | 2021 | Link |
| Blockchain and AI-based Solutions to Combat Coronavirus (COVID-19)-like Epidemics: A Survey | arXiv | 2021 | Link |
| Blockchain and Federated Edge Learning for Privacy-Preserving Mobile Crowdsensing | arXiv | 2021 | Link |
| Blockchain based Privacy-Preserved Federated Learning for Medical Images: A Case Study of COVID-19 CT Scans | arXiv | 2021 | Link |
| Blockchain-Based Federated Learning in Mobile Edge Networks with Application in Internet of Vehicles | arXiv | 2021 | Link |
| Blockchain-based Trustworthy Federated Learning Architecture | arXiv | 2021 | Link |
| Blockchained Federated Learning for Threat Defense | arXiv | 2021 | Link |
| Blockchains' federation for integrating distributed health data using a patient-centered approach | arXiv | 2021 | Link |
| Boosting Resource-Constrained Federated Learning Systems with Guessed Updates | arXiv | 2021 | Link |
| Bottleneck Time Minimization for Distributed Iterative Processes: Speeding Up Gossip-Based Federated Learning on Networked Computers | arXiv | 2021 | Link |
| Bristle: Decentralized Federated Learning in Byzantine, Non-i.i.d. Environments | arXiv | 2021 | Link |
| Broadband Digital Over-the-Air Computation for Asynchronous Federated Edge Learning | arXiv | 2021 | Link |
| Building a Foundation for Data-Driven, Interpretable, and Robust Policy Design using the AI Economist | arXiv | 2021 | Link |
| Business analytics meets artificial intelligence: Assessing the demand effects of discounts on Swiss train tickets | arXiv | 2021 | Link |
| Byzantine Fault-Tolerance in Federated Local SGD under 2f-Redundancy | arXiv | 2021 | Link |
| Byzantine-Robust Federated Learning via Credibility Assessment on Non-IID Data | arXiv | 2021 | Link |
| CANITA: Faster Rates for Distributed Convex Optimization with Communication Compression | arXiv | 2021 | Link |
| CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems | arXiv | 2021 | Link |
| CFLMEC: Cooperative Federated Learning for Mobile Edge Computing | arXiv | 2021 | Link |
| CFedAvg: Achieving Efficient Communication and Fast Convergence in Non-IID Federated Learning | arXiv | 2021 | Link |
| COTORRA: COntext-aware Testbed fOR Robotic Applications | arXiv | 2021 | Link |
| COVID-19 propagation by diffusion -- a two-dimensional approach for Germany | arXiv | 2021 | Link |
| CRFL: Certifiably Robust Federated Learning against Backdoor Attacks | arXiv | 2021 | Link |
| CSAFL: A Clustered Semi-Asynchronous Federated Learning Framework | arXiv | 2021 | Link |
| CSIT-Free Model Aggregation for Federated Edge Learning via Reconfigurable Intelligent Surface | arXiv | 2021 | Link |
| CaPC Learning: Confidential and Private Collaborative Learning | arXiv | 2021 | Link |
| Canoe : A System for Collaborative Learning for Neural Nets | arXiv | 2021 | Link |
| Catala: A Programming Language for the Law | arXiv | 2021 | Link |
| Causal (Progressive) Encoding over BinarySymmetric Channels with Noiseless Feedback | arXiv | 2021 | Link |
| Certifiably-Robust Federated Adversarial Learning via Randomized Smoothing | arXiv | 2021 | Link |
| Certified Federated Adversarial Training | arXiv | 2021 | Link |
| Challenges and Approaches for Mitigating Byzantine Attacks in Federated Learning | arXiv | 2021 | Link |
| Channel-Driven Monte Carlo Sampling for Bayesian Distributed Learning in Wireless Data Centers | arXiv | 2021 | Link |
| Citadel: Protecting Data Privacy and Model Confidentiality for Collaborative Learning with SGX | arXiv | 2021 | Link |
| Client Selection Approach in Support of Clustered Federated Learning over Wireless Edge Networks | arXiv | 2021 | Link |
| Client Selection in Federated Learning based on Gradients Importance | arXiv | 2021 | Link |
| Cluster-driven Graph Federated Learning over Multiple Domains | arXiv | 2021 | Link |
| Clustered Federated Learning via Generalized Total Variation Minimization | arXiv | 2021 | Link |
| Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning | arXiv | 2021 | Link |
| Clustering Algorithm to Detect Adversaries in Federated Learning | arXiv | 2021 | Link |
| Coding for Straggler Mitigation in Federated Learning | arXiv | 2021 | Link |
| Collaboration Equilibrium in Federated Learning | arXiv | 2021 | Link |
| Collaborative Federated Learning For Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge | arXiv | 2021 | Link |
| Collaborative Semantic Aggregation and Calibration for Federated Domain Generalization | arXiv | 2021 | Link |
| Collaborative Unsupervised Visual Representation Learning from Decentralized Data | arXiv | 2021 | Link |
| Comfetch: Federated Learning of Large Networks on Constrained Clients via Sketching | arXiv | 2021 | Link |
| Communication Efficiency in Federated Learning: Achievements and Challenges | arXiv | 2021 | Link |
| Communication Efficient Federated Learning with Adaptive Quantization | arXiv | 2021 | Link |
| Communication Efficient Generalized Tensor Factorization for Decentralized Healthcare Networks | arXiv | 2021 | Link |
| Communication Optimization in Large Scale Federated Learning using Autoencoder Compressed Weight Updates | arXiv | 2021 | Link |
| Communication and Energy Efficient Slimmable Federated Learning via Superposition Coding and Successive Decoding | arXiv | 2021 | Link |
| Communication-Efficient ADMM-based Federated Learning | arXiv | 2021 | Link |
| Communication-Efficient Agnostic Federated Averaging | arXiv | 2021 | Link |
| Communication-Efficient Distributed SGD with Compressed Sensing | arXiv | 2021 | Link |
| Communication-Efficient Federated Learning for Neural Machine Translation | arXiv | 2021 | Link |
| Communication-Efficient Federated Learning via Predictive Coding | arXiv | 2021 | Link |
| Communication-Efficient Federated Learning via Quantized Compressed Sensing | arXiv | 2021 | Link |
| Communication-Efficient Federated Learning with Binary Neural Networks | arXiv | 2021 | Link |
| Communication-Efficient Federated Learning with Dual-Side Low-Rank Compression | arXiv | 2021 | Link |
| Communication-Efficient Federated Linear and Deep Generalized Canonical Correlation Analysis | arXiv | 2021 | Link |
| Communication-Efficient Hierarchical Federated Learning for IoT Heterogeneous Systems with Imbalanced Data | arXiv | 2021 | Link |
| Communication-Efficient Online Federated Learning Framework for Nonlinear Regression | arXiv | 2021 | Link |
| Communication-Efficient and Personalized Federated Lottery Ticket Learning | arXiv | 2021 | Link |
| Compare Where It Matters: Using Layer-Wise Regularization To Improve Federated Learning on Heterogeneous Data | arXiv | 2021 | Link |
| Comparing dominance of tennis' big three via multiple-output Bayesian quantile regression models | arXiv | 2021 | Link |
| Comparing the dynamics of COVID-19 infection and mortality in the United States, India, and Brazil | arXiv | 2021 | Link |
| Complex-valued Federated Learning with Differential Privacy and MRI Applications | arXiv | 2021 | Link |
| Compositional federated learning: Applications in distributionally robust averaging and meta learning | arXiv | 2021 | Link |
| Computational Intelligence and Deep Learning for Next-Generation Edge-Enabled Industrial IoT | arXiv | 2021 | Link |
| Concept Drift Detection in Federated Networked Systems | arXiv | 2021 | Link |
| Concept drift detection and adaptation for federated and continual learning | arXiv | 2021 | Link |
| Confined Gradient Descent: Privacy-preserving Optimization for Federated Learning | arXiv | 2021 | Link |
| Connecting Low-Loss Subspace for Personalized Federated Learning | arXiv | 2021 | Link |
| Constrained Differentially Private Federated Learning for Low-bandwidth Devices | arXiv | 2021 | Link |
| Context-Aware Online Client Selection for Hierarchical Federated Learning | arXiv | 2021 | Link |
| Contextual Combinatorial Multi-output GP Bandits with Group Constraints | arXiv | 2021 | Link |
| Continual Distributed Learning for Crisis Management | arXiv | 2021 | Link |
| Convergence Analysis and System Design for Federated Learning over Wireless Networks | arXiv | 2021 | Link |
| Coordinating Momenta for Cross-silo Federated Learning | arXiv | 2021 | Link |
| Cost-Effective Federated Learning in Mobile Edge Networks | arXiv | 2021 | Link |
| Critical Learning Periods in Federated Learning | arXiv | 2021 | Link |
| Cross-Domain Federated Learning in Medical Imaging | arXiv | 2021 | Link |
| Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling | arXiv | 2021 | Link |
| Cross-Silo Federated Learning for Multi-Tier Networks with Vertical and Horizontal Data Partitioning | arXiv | 2021 | Link |
| Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning | arXiv | 2021 | Link |
| Cybersecurity Threats in Connected and Automated Vehicles based Federated Learning Systems | arXiv | 2021 | Link |
| D-Cliques: Compensating for Data Heterogeneity with Topology in Decentralized Federated Learning | arXiv | 2021 | Link |
| DACFL: Dynamic Average Consensus Based Federated Learning in Decentralized Topology | arXiv | 2021 | Link |
| DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning | arXiv | 2021 | Link |
| DEAL: Decremental Energy-Aware Learning in a Federated System | arXiv | 2021 | Link |
| DENSE: Data-Free One-Shot Federated Learning | arXiv | 2021 | Link |
| DER Forecast using Privacy Preserving Federated Learning | arXiv | 2021 | Link |
| DESED-FL and URBAN-FL: Federated Learning Datasets for Sound Event Detection | arXiv | 2021 | Link |
| DESTRESS: Computation-Optimal and Communication-Efficient Decentralized Nonconvex Finite-Sum Optimization | arXiv | 2021 | Link |
| DHT-based Communications Survey: Architectures and Use Cases | arXiv | 2021 | Link |
| DID-eFed: Facilitating Federated Learning as a Service with Decentralized Identities | arXiv | 2021 | Link |
| DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems | arXiv | 2021 | Link |
| DNN gradient lossless compression: Can GenNorm be the answer? | arXiv | 2021 | Link |
| DP-REC: Private & Communication-Efficient Federated Learning | arXiv | 2021 | Link |
| DP-SIGNSGD: When Efficiency Meets Privacy and Robustness | arXiv | 2021 | Link |
| DPCOVID: Privacy-Preserving Federated Covid-19 Detection | arXiv | 2021 | Link |
| DQRE-SCnet: A novel hybrid approach for selecting users in Federated Learning with Deep-Q-Reinforcement Learning based on Spectral Clustering | arXiv | 2021 | Link |
| DRIVE: One-bit Distributed Mean Estimation | arXiv | 2021 | Link |
| DVFL: A Vertical Federated Learning Method for Dynamic Data | arXiv | 2021 | Link |
| Data Placement for Multi-Tenant Data Federation on the Cloud | arXiv | 2021 | Link |
| Data Selection for Efficient Model Update in Federated Learning | arXiv | 2021 | Link |
| Data Valuation for Vertical Federated Learning: A Model-free and Privacy-preserving Method | arXiv | 2021 | Link |
| Data intensive physics analysis in Azure cloud | arXiv | 2021 | Link |
| Data privacy protection in microscopic image analysis for material data mining | arXiv | 2021 | Link |
| Data-Aware Device Scheduling for Federated Edge Learning | arXiv | 2021 | Link |
| Data-Free Evaluation of User Contributions in Federated Learning | arXiv | 2021 | Link |
| Data-aided Sensing where Communication and Sensing Meet: An Introduction | arXiv | 2021 | Link |
| DeceFL: A Principled Decentralized Federated Learning Framework | arXiv | 2021 | Link |
| Decentralised Person Re-Identification with Selective Knowledge Aggregation | arXiv | 2021 | Link |
| Decentralized Bayesian Learning with Metropolis-Adjusted Hamiltonian Monte Carlo | arXiv | 2021 | Link |
| Decentralized Deep Learning for Multi-Access Edge Computing: A Survey on Communication Efficiency and Trustworthiness | arXiv | 2021 | Link |
| Decentralized Federated Averaging | arXiv | 2021 | Link |
| Decentralized Federated Learning Preserves Model and Data Privacy | arXiv | 2021 | Link |
| Decentralized Federated Learning for UAV Networks: Architecture, Challenges, and Opportunities | arXiv | 2021 | Link |
| Decentralized Federated Learning through Proxy Model Sharing | arXiv | 2021 | Link |
| Decentralized Federated Learning with Unreliable Communications | arXiv | 2021 | Link |
| Decentralized Federated Learning: Balancing Communication and Computing Costs | arXiv | 2021 | Link |
| Decentralized Local Stochastic Extra-Gradient for Variational Inequalities | arXiv | 2021 | Link |
| Decentralized Personalized Federated Learning for Min-Max Problems | arXiv | 2021 | Link |
| Decentralized Personalized Federated Learning: Lower Bounds and Optimal Algorithm for All Personalization Modes | arXiv | 2021 | Link |
| Decentralized Wireless Federated Learning with Differential Privacy | arXiv | 2021 | Link |
| Decentralized and Model-Free Federated Learning: Consensus-Based Distillation in Function Space | arXiv | 2021 | Link |
| Decentralized federated learning of deep neural networks on non-iid data | arXiv | 2021 | Link |
| Decentralizing Platform Power: A Design Space of Multi-level Governance in Online Social Platforms | arXiv | 2021 | Link |
| Decomposition of integral metric currents | arXiv | 2021 | Link |
| Deep Federated Learning for Autonomous Driving | arXiv | 2021 | Link |
| Deep Transfer Learning: A Novel Collaborative Learning Model for Cyberattack Detection Systems in IoT Networks | arXiv | 2021 | Link |
| Defending IEEE Software Standards in Federal Criminal Court | arXiv | 2021 | Link |
| Defending against Reconstruction Attack in Vertical Federated Learning | arXiv | 2021 | Link |
| Delay Analysis of Wireless Federated Learning Based on Saddle Point Approximation and Large Deviation Theory | arXiv | 2021 | Link |
| Delayed Projection Techniques for Linearly Constrained Problems: Convergence Rates, Acceleration, and Applications | arXiv | 2021 | Link |
| Democratic Forking: Choosing Sides with Social Choice | arXiv | 2021 | Link |
| Demystifying the Effects of Non-Independence in Federated Learning | arXiv | 2021 | Link |
| Denoising Noisy Neural Networks: A Bayesian Approach with Compensation | arXiv | 2021 | Link |
| Density-Aware Federated Imitation Learning for Connected and Automated Vehicles with Unsignalized Intersection | arXiv | 2021 | Link |
| Deploying Federated Learning in Large-Scale Cellular Networks: Spatial Convergence Analysis | arXiv | 2021 | Link |
| Design Theory to improve health evidence retrieval | arXiv | 2021 | Link |
| Designing ECG Monitoring Healthcare System with Federated Transfer Learning and Explainable AI | arXiv | 2021 | Link |
| Detecting corruption in single-bidder auctions via positive-unlabelled learning | arXiv | 2021 | Link |
| Detection of Illicit Drug Trafficking Events on Instagram: A Deep Multimodal Multilabel Learning Approach | arXiv | 2021 | Link |
| Detection of Insider Attacks in Distributed Projected Subgradient Algorithms | arXiv | 2021 | Link |
| Determining Sentencing Recommendations and Patentability Using a Machine Learning Trained Expert System | arXiv | 2021 | Link |
| Development and Modeling of a Low-voltage DC Distribution Nanogrid with Distributed Generation Systems | arXiv | 2021 | Link |
| Device Scheduling and Update Aggregation Policies for Asynchronous Federated Learning | arXiv | 2021 | Link |
| Device-Independent-Quantum-Randomness-Enhanced Zero-Knowledge Proof | arXiv | 2021 | Link |
| Differential Privacy Meets Federated Learning under Communication Constraints | arXiv | 2021 | Link |
| Differential Privacy in Privacy-Preserving Big Data and Learning: Challenge and Opportunity | arXiv | 2021 | Link |
| Differentially Private Federated Bayesian Optimization with Distributed Exploration | arXiv | 2021 | Link |
| Differentially Private Federated Learning for Cancer Prediction | arXiv | 2021 | Link |
| Differentially Private Federated Learning on Heterogeneous Data | arXiv | 2021 | Link |
| DistFL: Distribution-aware Federated Learning for Mobile Scenarios | arXiv | 2021 | Link |
| Distributed Computing With the Cloud | arXiv | 2021 | Link |
| Distributed Conditional Generative Adversarial Networks (GANs) for Data-Driven Millimeter Wave Communications in UAV Networks | arXiv | 2021 | Link |
| Distributed Dynamic Map Fusion via Federated Learning for Intelligent Networked Vehicles | arXiv | 2021 | Link |
| Distributed Learning Approaches for Automated Chest X-Ray Diagnosis | arXiv | 2021 | Link |
| Distributed Learning for Time-varying Networks: A Scalable Design | arXiv | 2021 | Link |
| Distributed Learning in Wireless Networks: Recent Progress and Future Challenges | arXiv | 2021 | Link |
| Distributed Learning over a Wireless Network with FSK-Based Majority Vote | arXiv | 2021 | Link |
| Distributed Machine Learning and the Semblance of Trust | arXiv | 2021 | Link |
| Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees | arXiv | 2021 | Link |
| Distributed Online Learning with Multiple Kernels | arXiv | 2021 | Link |
| Distributed Reinforcement Learning for Privacy-Preserving Dynamic Edge Caching | arXiv | 2021 | Link |
| Distributed Spectrum and Power Allocation for D2D-U Networks: A Scheme based on NN and Federated Learning | arXiv | 2021 | Link |
| Distribution-Free Federated Learning with Conformal Predictions | arXiv | 2021 | Link |
| Distributionally Robust Federated Averaging | arXiv | 2021 | Link |
| Does Bankruptcy Protection Affect Asset Prices? Evidence from changes in Homestead Exemptions | arXiv | 2021 | Link |
| Dopamine: Differentially Private Federated Learning on Medical Data | arXiv | 2021 | Link |
| Dr.Aid: Supporting Data-governance Rule Compliance for Decentralized Collaboration in an Automated Way | arXiv | 2021 | Link |
| Dropout against Deep Leakage from Gradients | arXiv | 2021 | Link |
| Dubhe: Towards Data Unbiasedness with Homomorphic Encryption in Federated Learning Client Selection | arXiv | 2021 | Link |
| Dynamic Attention-based Communication-Efficient Federated Learning | arXiv | 2021 | Link |
| Dynamic Channel Access and Power Control in Wireless Interference Networks via Multi-Agent Deep Reinforcement Learning | arXiv | 2021 | Link |
| Dynamic Differential-Privacy Preserving SGD | arXiv | 2021 | Link |
| Dynamic Federated Learning-Based Economic Framework for Internet-of-Vehicles | arXiv | 2021 | Link |
| Dynamic Gradient Aggregation for Federated Domain Adaptation | arXiv | 2021 | Link |
| Dynamic Network-Assisted D2D-Aided Coded Distributed Learning | arXiv | 2021 | Link |
| Dynamic Scheduling for Over-the-Air Federated Edge Learning with Energy Constraints | arXiv | 2021 | Link |
| Dynamic Term Structure Models for SOFR Futures | arXiv | 2021 | Link |
| Dynamics in Coded Edge Computing for IoT: A Fractional Evolutionary Game Approach | arXiv | 2021 | Link |
| EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Learning | arXiv | 2021 | Link |
| EIFFeL: Ensuring Integrity for Federated Learning | arXiv | 2021 | Link |
| Early Detection of COVID-19 Hotspots Using Spatio-Temporal Data | arXiv | 2021 | Link |
| Easy Semantification of Bioassays | arXiv | 2021 | Link |
| EasyFL: A Low-code Federated Learning Platform For Dummies | arXiv | 2021 | Link |
| Edge Federated Learning Via Unit-Modulus Over-The-Air Computation | arXiv | 2021 | Link |
| Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges | arXiv | 2021 | Link |
| Efficient Algorithms for Federated Saddle Point Optimization | arXiv | 2021 | Link |
| Efficient Batch Homomorphic Encryption for Vertically Federated XGBoost | arXiv | 2021 | Link |
| Efficient Client Contribution Evaluation for Horizontal Federated Learning | arXiv | 2021 | Link |
| Efficient Device Scheduling with Multi-Job Federated Learning | arXiv | 2021 | Link |
| Efficient Differentially Private Secure Aggregation for Federated Learning via Hardness of Learning with Errors | arXiv | 2021 | Link |
| Efficient Federated Learning for AIoT Applications Using Knowledge Distillation | arXiv | 2021 | Link |
| Efficient Federated Meta-Learning over Multi-Access Wireless Networks | arXiv | 2021 | Link |
| Efficient Reinforcement Learning in Resource Allocation Problems Through Permutation Invariant Multi-task Learning | arXiv | 2021 | Link |
| Efficient Resources Distribution for an Ephemeral Cloud/Edge continuum | arXiv | 2021 | Link |
| Efficient Ring-topology Decentralized Federated Learning with Deep Generative Models for Industrial Artificial Intelligent | arXiv | 2021 | Link |
| Efficient and Less Centralized Federated Learning | arXiv | 2021 | Link |
| Efficient and Private Federated Learning with Partially Trainable Networks | arXiv | 2021 | Link |
| Efficient and Reliable Overlay Networks for Decentralized Federated Learning | arXiv | 2021 | Link |
| Elo Ratings for Large Tournaments of Software Agents in Asymmetric Games | arXiv | 2021 | Link |
| Eluding Secure Aggregation in Federated Learning via Model Inconsistency | arXiv | 2021 | Link |
| Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning | arXiv | 2021 | Link |
| Empowering Prosumer Communities in Smart Grid with Wireless Communications and Federated Edge Learning | arXiv | 2021 | Link |
| Enabling Large-Scale Federated Learning over Wireless Edge Networks | arXiv | 2021 | Link |
| Enabling Long-Term Cooperation in Cross-Silo Federated Learning: A Repeated Game Perspective | arXiv | 2021 | Link |
| Enabling On-Device Training of Speech Recognition Models with Federated Dropout | arXiv | 2021 | Link |
| Enabling SQL-based Training Data Debugging for Federated Learning | arXiv | 2021 | Link |
| End-to-End Speech Recognition from Federated Acoustic Models | arXiv | 2021 | Link |
| Energy Efficient Federated Learning in Integrated Fog-Cloud Computing Enabled Internet-of-Things Networks | arXiv | 2021 | Link |
| Energy Efficient Resource Allocation in Federated Fog Computing Networks | arXiv | 2021 | Link |
| Energy Minimized Federated Fog Computing over Passive Optical Networks | arXiv | 2021 | Link |
| Energy-Efficient Massive MIMO for Federated Learning: Transmission Designs and Resource Allocations | arXiv | 2021 | Link |
| Energy-Efficient Massive MIMO for Serving Multiple Federated Learning Groups | arXiv | 2021 | Link |
| Energy-Efficient and Federated Meta-Learning via Projected Stochastic Gradient Ascent | arXiv | 2021 | Link |
| Energy-aware Resource Management for Federated Learning in Multi-access Edge Computing Systems | arXiv | 2021 | Link |
| Enforcing fairness in private federated learning via the modified method of differential multipliers | arXiv | 2021 | Link |
| Enhancing WiFi Multiple Access Performance with Federated Deep Reinforcement Learning | arXiv | 2021 | Link |
| Ensemble Federated Adversarial Training with Non-IID data | arXiv | 2021 | Link |
| Equity Impacts of Dollar Store Vaccine Distribution | arXiv | 2021 | Link |
| Escaping Saddle Points in Distributed Newton's Method with Communication Efficiency and Byzantine Resilience | arXiv | 2021 | Link |
| Essential Characteristics of Approximate matching algorithms: A Survey of Practitioners Opinions and requirement regarding Approximate Matching | arXiv | 2021 | Link |
| Establishing the Price of Privacy in Federated Data Trading | arXiv | 2021 | Link |
| Estimating the effects of a California gun control program with Multitask Gaussian Processes | arXiv | 2021 | Link |
| Estimation of Continuous Blood Pressure from PPG via a Federated Learning Approach | arXiv | 2021 | Link |
| Estimation of Microphone Clusters in Acoustic Sensor Networks using Unsupervised Federated Learning | arXiv | 2021 | Link |
| Evaluating Federated Learning for Intrusion Detection in Internet of Things: Review and Challenges | arXiv | 2021 | Link |
| Evaluating Medical IoT (MIoT) Device Security using NISTIR-8228 Expectations | arXiv | 2021 | Link |
| Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series Classification | arXiv | 2021 | Link |
| Evaluation and Optimization of Distributed Machine Learning Techniques for Internet of Things | arXiv | 2021 | Link |
| Evaluation of Hyperparameter-Optimization Approaches in an Industrial Federated Learning System | arXiv | 2021 | Link |
| Evolution of topics in central bank speech communication | arXiv | 2021 | Link |
| ExPLoit: Extracting Private Labels in Split Learning | arXiv | 2021 | Link |
| Experiences with Integrating Custos SecurityServices | arXiv | 2021 | Link |
| Exploiting Heterogeneity in Robust Federated Best-Arm Identification | arXiv | 2021 | Link |
| Exploiting Shared Representations for Personalized Federated Learning | arXiv | 2021 | Link |
| Exploring Content Moderation in the Decentralised Web: The Pleroma Case | arXiv | 2021 | Link |
| Exploring Heterogeneous Characteristics of Layers in ASR Models for More Efficient Training | arXiv | 2021 | Link |
| F3: Fair and Federated Face Attribute Classification with Heterogeneous Data | arXiv | 2021 | Link |
| FEDZIP: A Compression Framework for Communication-Efficient Federated Learning | arXiv | 2021 | Link |
| FGLP: A Federated Fine-Grained Location Prediction System for Mobile Users | arXiv | 2021 | Link |
| FL-AGCNS: Federated Learning Framework for Automatic Graph Convolutional Network Search | arXiv | 2021 | Link |
| FL-Market: Trading Private Models in Federated Learning | arXiv | 2021 | Link |
| FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Convergence Analysis | arXiv | 2021 | Link |
| FLAME: Taming Backdoors in Federated Learning (Extended Version 1) | arXiv | 2021 | Link |
| FLASHE: Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning | arXiv | 2021 | Link |
| FLIX: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning | arXiv | 2021 | Link |
| FLRA: A Reference Architecture for Federated Learning Systems | arXiv | 2021 | Link |
| FLSys: Toward an Open Ecosystem for Federated Learning Mobile Apps | arXiv | 2021 | Link |
| FLoBC: A Decentralized Blockchain-Based Federated Learning Framework | arXiv | 2021 | Link |
| FLoRA: Single-shot Hyper-parameter Optimization for Federated Learning | arXiv | 2021 | Link |
| FOD-A: A Dataset for Foreign Object Debris in Airports | arXiv | 2021 | Link |
| FRL: Federated Rank Learning | arXiv | 2021 | Link |
| Factorization and pseudofactorization of weighted graphs | arXiv | 2021 | Link |
| Failure Prediction in Production Line Based on Federated Learning: An Empirical Study | arXiv | 2021 | Link |
| Fair Dynamic Rationing | arXiv | 2021 | Link |
| FairFed: Enabling Group Fairness in Federated Learning | arXiv | 2021 | Link |
| Fairness, Integrity, and Privacy in a Scalable Blockchain-based Federated Learning System | arXiv | 2021 | Link |
| Faithful Edge Federated Learning: Scalability and Privacy | arXiv | 2021 | Link |
| Fast Federated Edge Learning with Overlapped Communication and Computation and Channel-Aware Fair Client Scheduling | arXiv | 2021 | Link |
| Fast Federated Learning by Balancing Communication Trade-Offs | arXiv | 2021 | Link |
| Fast Federated Learning in the Presence of Arbitrary Device Unavailability | arXiv | 2021 | Link |
| Fast and Sample-Efficient Federated Low Rank Matrix Recovery from column-wise Linear and Quadratic Projections | arXiv | 2021 | Link |
| Faster Rates for Compressed Federated Learning with Client-Variance Reduction | arXiv | 2021 | Link |
| Faster algorithm for Unique $(k,2)$-CSP | arXiv | 2021 | Link |
| Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee | arXiv | 2021 | Link |
| Feature Concepts for Data Federative Innovations | arXiv | 2021 | Link |
| Feature-context driven Federated Meta-Learning for Rare Disease Prediction | arXiv | 2021 | Link |
| Fed-BEV: A Federated Learning Framework for Modelling Energy Consumption of Battery Electric Vehicles | arXiv | 2021 | Link |
| Fed-DDM: A Federated Ledgers based Framework for Hierarchical Decentralized Data Marketplaces | arXiv | 2021 | Link |
| Fed-EINI: An Efficient and Interpretable Inference Framework for Decision Tree Ensembles in Federated Learning | arXiv | 2021 | Link |
| Fed-NILM: A Federated Learning-based Non-Intrusive Load Monitoring Method for Privacy-Protection | arXiv | 2021 | Link |
| Fed-TGAN: Federated Learning Framework for Synthesizing Tabular Data | arXiv | 2021 | Link |
| Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning | arXiv | 2021 | Link |
| Fed2: Feature-Aligned Federated Learning | arXiv | 2021 | Link |
| FedAR: Activity and Resource-Aware Federated Learning Model for Distributed Mobile Robots | arXiv | 2021 | Link |
| FedAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning | arXiv | 2021 | Link |
| FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning | arXiv | 2021 | Link |
| FedApp: a Research Sandbox for Application Orchestration in Federated Clouds using OpenStack | arXiv | 2021 | Link |
| FedBABU: Towards Enhanced Representation for Federated Image Classification | arXiv | 2021 | Link |
| FedBN: Federated Learning on Non-IID Features via Local Batch Normalization | arXiv | 2021 | Link |
| FedCCEA : A Practical Approach of Client Contribution Evaluation for Federated Learning | arXiv | 2021 | Link |
| FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning | arXiv | 2021 | Link |
| FedCM: Federated Learning with Client-level Momentum | arXiv | 2021 | Link |
| FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks | arXiv | 2021 | Link |
| FedChain: Chained Algorithms for Near-Optimal Communication Cost in Federated Learning | arXiv | 2021 | Link |
| FedChain: Secure Proof-of-Stake-based Framework for Federated-blockchain Systems | arXiv | 2021 | Link |
| FedCon: A Contrastive Framework for Federated Semi-Supervised Learning | arXiv | 2021 | Link |
| FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning | arXiv | 2021 | Link |
| FedCostWAvg: A new averaging for better Federated Learning | arXiv | 2021 | Link |
| FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space | arXiv | 2021 | Link |
| FedDICE: A ransomware spread detection in a distributed integrated clinical environment using federated learning and SDN based mitigation | arXiv | 2021 | Link |
| FedDQ: Communication-Efficient Federated Learning with Descending Quantization | arXiv | 2021 | Link |
| FedDis: Disentangled Federated Learning for Unsupervised Brain Pathology Segmentation | arXiv | 2021 | Link |
| FedDropoutAvg: Generalizable federated learning for histopathology image classification | arXiv | 2021 | Link |
| FedFR: Joint Optimization Federated Framework for Generic and Personalized Face Recognition | arXiv | 2021 | Link |
| FedFace: Collaborative Learning of Face Recognition Model | arXiv | 2021 | Link |
| FedFly: Towards Migration in Edge-based Distributed Federated Learning | arXiv | 2021 | Link |
| FedFm: Towards a Robust Federated Learning Approach For Fault Mitigation at the Edge Nodes | arXiv | 2021 | Link |
| FedFog: Network-Aware Optimization of Federated Learning over Wireless Fog-Cloud Systems | arXiv | 2021 | Link |
| FedGEMS: Federated Learning of Larger Server Models via Selective Knowledge Fusion | arXiv | 2021 | Link |
| FedGL: Federated Graph Learning Framework with Global Self-Supervision | arXiv | 2021 | Link |
| FedGNN: Federated Graph Neural Network for Privacy-Preserving Recommendation | arXiv | 2021 | Link |
| FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks | arXiv | 2021 | Link |
| FedGreen: Federated Learning with Fine-Grained Gradient Compression for Green Mobile Edge Computing | arXiv | 2021 | Link |
| FedH2L: Federated Learning with Model and Statistical Heterogeneity | arXiv | 2021 | Link |
| FedHM: Efficient Federated Learning for Heterogeneous Models via Low-rank Factorization | arXiv | 2021 | Link |
| FedHe: Heterogeneous Models and Communication-Efficient Federated Learning | arXiv | 2021 | Link |
| FedHealth 2: Weighted Federated Transfer Learning via Batch Normalization for Personalized Healthcare | arXiv | 2021 | Link |
| FedHybrid: A Hybrid Primal-Dual Algorithm Framework for Federated Optimization | arXiv | 2021 | Link |
| FedIPR: Ownership Verification for Federated Deep Neural Network Models | arXiv | 2021 | Link |
| FedJAX: Federated learning simulation with JAX | arXiv | 2021 | Link |
| FedKD: Communication Efficient Federated Learning via Knowledge Distillation | arXiv | 2021 | Link |
| FedLGA: Towards System-Heterogeneity of Federated Learning via Local Gradient Approximation | arXiv | 2021 | Link |
| FedLab: A Flexible Federated Learning Framework | arXiv | 2021 | Link |
| FedLess: Secure and Scalable Federated Learning Using Serverless Computing | arXiv | 2021 | Link |
| FedMM: Saddle Point Optimization for Federated Adversarial Domain Adaptation | arXiv | 2021 | Link |
| FedMe: Federated Learning via Model Exchange | arXiv | 2021 | Link |
| FedMood: Federated Learning on Mobile Health Data for Mood Detection | arXiv | 2021 | Link |
| FedNI: Federated Graph Learning with Network Inpainting for Population-Based Disease Prediction | arXiv | 2021 | Link |
| FedNILM: Applying Federated Learning to NILM Applications at the Edge | arXiv | 2021 | Link |
| FedNL: Making Newton-Type Methods Applicable to Federated Learning | arXiv | 2021 | Link |
| FedNLP: An interpretable NLP System to Decode Federal Reserve Communications | arXiv | 2021 | Link |
| FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks | arXiv | 2021 | Link |
| FedNS: Improving Federated Learning for collaborative image classification on mobile clients | arXiv | 2021 | Link |
| FedPAGE: A Fast Local Stochastic Gradient Method for Communication-Efficient Federated Learning | arXiv | 2021 | Link |
| FedPOIRec: Privacy Preserving Federated POI Recommendation with Social Influence | arXiv | 2021 | Link |
| FedPandemic: A Cross-Device Federated Learning Approach Towards Elementary Prognosis of Diseases During a Pandemic | arXiv | 2021 | Link |
| FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning | arXiv | 2021 | Link |
| FedParking: A Federated Learning based Parking Space Estimation with Parked Vehicle assisted Edge Computing | arXiv | 2021 | Link |
| FedPower: Privacy-Preserving Distributed Eigenspace Estimation | arXiv | 2021 | Link |
| FedProc: Prototypical Contrastive Federated Learning on Non-IID data | arXiv | 2021 | Link |
| FedProf: Selective Federated Learning with Representation Profiling | arXiv | 2021 | Link |
| FedProto: Federated Prototype Learning across Heterogeneous Clients | arXiv | 2021 | Link |
| FedPrune: Towards Inclusive Federated Learning | arXiv | 2021 | Link |
| FedSAE: A Novel Self-Adaptive Federated Learning Framework in Heterogeneous Systems | arXiv | 2021 | Link |
| FedSEAL: Semi-Supervised Federated Learning with Self-Ensemble Learning and Negative Learning | arXiv | 2021 | Link |
| FedSLD: Federated Learning with Shared Label Distribution for Medical Image Classification | arXiv | 2021 | Link |
| FedScale: Benchmarking Model and System Performance of Federated Learning at Scale | arXiv | 2021 | Link |
| FedSoft: Soft Clustered Federated Learning with Proximal Local Updating | arXiv | 2021 | Link |
| FedSup: A Communication-Efficient Federated Learning Fatigue Driving Behaviors Supervision Framework | arXiv | 2021 | Link |
| FedTune: Automatic Tuning of Federated Learning Hyper-Parameters from System Perspective | arXiv | 2021 | Link |
| FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data | arXiv | 2021 | Link |
| FedXGBoost: Privacy-Preserving XGBoost for Federated Learning | arXiv | 2021 | Link |
| FedZKT: Zero-Shot Knowledge Transfer towards Resource-Constrained Federated Learning with Heterogeneous On-Device Models | arXiv | 2021 | Link |
| Federated $f$-Differential Privacy | arXiv | 2021 | Link |
| Federated 3GPP Mobile Edge Computing Systems: A Transparent Proxy for Third Party Authentication with Application Mobility Support | arXiv | 2021 | Link |
| Federated Acoustic Modeling For Automatic Speech Recognition | arXiv | 2021 | Link |
| Federated Action Recognition on Heterogeneous Embedded Devices | arXiv | 2021 | Link |
| Federated Adaptive Causal Estimation (FACE) of Target Treatment Effects | arXiv | 2021 | Link |
| Federated Artificial Intelligence for Unified Credit Assessment | arXiv | 2021 | Link |
| Federated Asymptotics: a model to compare federated learning algorithms | arXiv | 2021 | Link |
| Federated Causal Inference in Heterogeneous Observational Data | arXiv | 2021 | Link |
| Federated Contrastive Learning for Decentralized Unlabeled Medical Images | arXiv | 2021 | Link |
| Federated CycleGAN for Privacy-Preserving Image-to-Image Translation | arXiv | 2021 | Link |
| Federated Data Science to Break Down Silos [Vision] | arXiv | 2021 | Link |
| Federated Deep AUC Maximization for Heterogeneous Data with a Constant Communication Complexity | arXiv | 2021 | Link |
| Federated Deep Learning in Electricity Forecasting: An MCDM Approach | arXiv | 2021 | Link |
| Federated Deep Reinforcement Learning for the Distributed Control of NextG Wireless Networks | arXiv | 2021 | Link |
| Federated Distributionally Robust Optimization for Phase Configuration of RISs | arXiv | 2021 | Link |
| Federated Double Deep Q-learning for Joint Delay and Energy Minimization in IoT networks | arXiv | 2021 | Link |
| Federated Dropout -- A Simple Approach for Enabling Federated Learning on Resource Constrained Devices | arXiv | 2021 | Link |
| Federated Dropout Learning for Hybrid Beamforming With Spatial Path Index Modulation In Multi-User mmWave-MIMO Systems | arXiv | 2021 | Link |
| Federated Dynamic Neural Network for Deep MIMO Detection | arXiv | 2021 | Link |
| Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better | arXiv | 2021 | Link |
| Federated Dynamic Spectrum Access | arXiv | 2021 | Link |
| Federated Edge Learning with Misaligned Over-The-Air Computation | arXiv | 2021 | Link |
| Federated Ensemble Model-based Reinforcement Learning in Edge Computing | arXiv | 2021 | Link |
| Federated Estimation of Causal Effects from Observational Data | arXiv | 2021 | Link |
| Federated Evaluation and Tuning for On-Device Personalization: System Design & Applications | arXiv | 2021 | Link |
| Federated Expectation Maximization with heterogeneity mitigation and variance reduction | arXiv | 2021 | Link |
| Federated Face Recognition | arXiv | 2021 | Link |
| Federated Feature Selection for Cyber-Physical Systems of Systems | arXiv | 2021 | Link |
| Federated Few-Shot Learning with Adversarial Learning | arXiv | 2021 | Link |
| Federated Functional Gradient Boosting | arXiv | 2021 | Link |
| Federated Gaussian Process: Convergence, Automatic Personalization and Multi-fidelity Modeling | arXiv | 2021 | Link |
| Federated Generalized Face Presentation Attack Detection | arXiv | 2021 | Link |
| Federated Graph Classification over Non-IID Graphs | arXiv | 2021 | Link |
| Federated Graph Learning -- A Position Paper | arXiv | 2021 | Link |
| Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing | arXiv | 2021 | Link |
| Federated Identity Management (FIdM) Systems Limitation And Solutions | arXiv | 2021 | Link |
| Federated Intrusion Detection for IoT with Heterogeneous Cohort Privacy | arXiv | 2021 | Link |
| Federated Learning Algorithms for Generalized Mixed-effects Model (GLMM) on Horizontally Partitioned Data from Distributed Sources | arXiv | 2021 | Link |
| Federated Learning Attacks Revisited: A Critical Discussion of Gaps, Assumptions, and Evaluation Setups | arXiv | 2021 | Link |
| Federated Learning Based Proactive Handover in Millimeter-wave Vehicular Networks | arXiv | 2021 | Link |
| Federated Learning Based on Dynamic Regularization | arXiv | 2021 | Link |
| Federated Learning Beyond the Star: Local D2D Model Consensus with Global Cluster Sampling | arXiv | 2021 | Link |
| Federated Learning Framework with Straggling Mitigation and Privacy-Awareness for AI-based Mobile Application Services | arXiv | 2021 | Link |
| Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges | arXiv | 2021 | Link |
| Federated Learning Meets Fairness and Differential Privacy | arXiv | 2021 | Link |
| Federated Learning Meets Natural Language Processing: A Survey | arXiv | 2021 | Link |
| Federated Learning Versus Classical Machine Learning: A Convergence Comparison | arXiv | 2021 | Link |
| Federated Learning With Highly Imbalanced Audio Data | arXiv | 2021 | Link |
| Federated Learning as a Mean-Field Game | arXiv | 2021 | Link |
| Federated Learning at the Network Edge: When Not All Nodes are Created Equal | arXiv | 2021 | Link |
| Federated Learning for 6G: Applications, Challenges, and Opportunities | arXiv | 2021 | Link |
| Federated Learning for Big Data: A Survey on Opportunities, Applications, and Future Directions | arXiv | 2021 | Link |
| Federated Learning for COVID-19 Detection with Generative Adversarial Networks in Edge Cloud Computing | arXiv | 2021 | Link |
| Federated Learning for Cross-block Oil-water Layer Identification | arXiv | 2021 | Link |
| Federated Learning for Industrial Internet of Things in Future Industries | arXiv | 2021 | Link |
| Federated Learning for Internet of Things: A Comprehensive Survey | arXiv | 2021 | Link |
| Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection | arXiv | 2021 | Link |
| Federated Learning for Internet of Things: Applications, Challenges, and Opportunities | arXiv | 2021 | Link |
| Federated Learning for Intrusion Detection System: Concepts, Challenges and Future Directions | arXiv | 2021 | Link |
| Federated Learning for Intrusion Detection in IoT Security: A Hybrid Ensemble Approach | arXiv | 2021 | Link |
| Federated Learning for Malware Detection in IoT Devices | arXiv | 2021 | Link |
| Federated Learning for Multi-Center Imaging Diagnostics: A Study in Cardiovascular Disease | arXiv | 2021 | Link |
| Federated Learning for Open Banking | arXiv | 2021 | Link |
| Federated Learning for Physical Layer Design | arXiv | 2021 | Link |
| Federated Learning for Privacy-Preserving Open Innovation Future on Digital Health | arXiv | 2021 | Link |
| Federated Learning for Short-term Residential Load Forecasting | arXiv | 2021 | Link |
| Federated Learning for Smart Healthcare: A Survey | arXiv | 2021 | Link |
| Federated Learning for UAV Swarms Under Class Imbalance and Power Consumption Constraints | arXiv | 2021 | Link |
| Federated Learning from Small Datasets | arXiv | 2021 | Link |
| Federated Learning in ASR: Not as Easy as You Think | arXiv | 2021 | Link |
| Federated Learning of Molecular Properties with Graph Neural Networks in a Heterogeneous Setting | arXiv | 2021 | Link |
| Federated Learning of User Verification Models Without Sharing Embeddings | arXiv | 2021 | Link |
| Federated Learning on Non-IID Data Silos: An Experimental Study | arXiv | 2021 | Link |
| Federated Learning on Non-IID Data: A Survey | arXiv | 2021 | Link |
| Federated Learning on the Road: Autonomous Controller Design for Connected and Autonomous Vehicles | arXiv | 2021 | Link |
| Federated Learning over Energy Harvesting Wireless Networks | arXiv | 2021 | Link |
| Federated Learning over Next-Generation Ethernet Passive Optical Networks | arXiv | 2021 | Link |
| Federated Learning over Noisy Channels: Convergence Analysis and Design Examples | arXiv | 2021 | Link |
| Federated Learning over Wireless Device-to-Device Networks: Algorithms and Convergence Analysis | arXiv | 2021 | Link |
| Federated Learning over Wireless IoT Networks with Optimized Communication and Resources | arXiv | 2021 | Link |
| Federated Learning over Wireless Networks: A Band-limited Coordinated Descent Approach | arXiv | 2021 | Link |
| Federated Learning using Smart Contracts on Blockchains, based on Reward Driven Approach | arXiv | 2021 | Link |
| Federated Learning via Plurality Vote | arXiv | 2021 | Link |
| Federated Learning with Buffered Asynchronous Aggregation | arXiv | 2021 | Link |
| Federated Learning with Correlated Data: Taming the Tail for Age-Optimal Industrial IoT | arXiv | 2021 | Link |
| Federated Learning with Domain Generalization | arXiv | 2021 | Link |
| Federated Learning with Downlink Device Selection | arXiv | 2021 | Link |
| Federated Learning with Dynamic Transformer for Text to Speech | arXiv | 2021 | Link |
| Federated Learning with Fair Averaging | arXiv | 2021 | Link |
| Federated Learning with Fair Worker Selection: A Multi-Round Submodular Maximization Approach | arXiv | 2021 | Link |
| Federated Learning with Heterogeneous Differential Privacy | arXiv | 2021 | Link |
| Federated Learning with Hyperparameter-based Clustering for Electrical Load Forecasting | arXiv | 2021 | Link |
| Federated Learning with Local Differential Privacy: Trade-offs between Privacy, Utility, and Communication | arXiv | 2021 | Link |
| Federated Learning with Positive and Unlabeled Data | arXiv | 2021 | Link |
| Federated Learning with Superquantile Aggregation for Heterogeneous Data | arXiv | 2021 | Link |
| Federated Learning with Taskonomy for Non-IID Data | arXiv | 2021 | Link |
| Federated Learning with Unreliable Clients: Performance Analysis and Mechanism Design | arXiv | 2021 | Link |
| Federated Learning without Revealing the Decision Boundaries | arXiv | 2021 | Link |
| Federated Learning-Based Risk-Aware Decision toMitigate Fake Task Impacts on CrowdsensingPlatforms | arXiv | 2021 | Link |
| Federated Learning-based Active Authentication on Mobile Devices | arXiv | 2021 | Link |
| Federated Learning: A Signal Processing Perspective | arXiv | 2021 | Link |
| Federated Learning: Issues in Medical Application | arXiv | 2021 | Link |
| Federated Learning: Opportunities and Challenges | arXiv | 2021 | Link |
| Federated Linear Contextual Bandits | arXiv | 2021 | Link |
| Federated Meta Learning Enhanced Acoustic Radio Cooperative Framework for Ocean of Things Underwater Acoustic Communications | arXiv | 2021 | Link |
| Federated Mixture of Experts | arXiv | 2021 | Link |
| Federated Multi-Armed Bandits | arXiv | 2021 | Link |
| Federated Multi-Target Domain Adaptation | arXiv | 2021 | Link |
| Federated Multi-Task Learning under a Mixture of Distributions | arXiv | 2021 | Link |
| Federated Multi-armed Bandits with Personalization | arXiv | 2021 | Link |
| Federated Multiple Label Hashing (FedMLH): Communication Efficient Federated Learning on Extreme Classification Tasks | arXiv | 2021 | Link |
| Federated Myopic Community Detection with One-shot Communication | arXiv | 2021 | Link |
| Federated Natural Language Generation for Personalized Dialogue System | arXiv | 2021 | Link |
| Federated Nearest Neighbor Classification with a Colony of Fruit-Flies: With Supplement | arXiv | 2021 | Link |
| Federated Neural Collaborative Filtering | arXiv | 2021 | Link |
| Federated Noisy Client Learning | arXiv | 2021 | Link |
| Federated Phish Bowl: LSTM-Based Decentralized Phishing Email Detection | arXiv | 2021 | Link |
| Federated Quantum Machine Learning | arXiv | 2021 | Link |
| Federated Reconnaissance: Efficient, Distributed, Class-Incremental Learning | arXiv | 2021 | Link |
| Federated Reconstruction: Partially Local Federated Learning | arXiv | 2021 | Link |
| Federated Reinforcement Learning at the Edge | arXiv | 2021 | Link |
| Federated Reinforcement Learning: Techniques, Applications, and Open Challenges | arXiv | 2021 | Link |
| Federated Robustness Propagation: Sharing Robustness in Heterogeneous Federated Learning | arXiv | 2021 | Link |
| Federated Route Leak Detection in Inter-domain Routing with Privacy Guarantee | arXiv | 2021 | Link |
| Federated Self-Training for Semi-Supervised Audio Recognition | arXiv | 2021 | Link |
| Federated Semi-Supervised Learning with Class Distribution Mismatch | arXiv | 2021 | Link |
| Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching | arXiv | 2021 | Link |
| Federated Social Recommendation with Graph Neural Network | arXiv | 2021 | Link |
| Federated Split Vision Transformer for COVID-19 CXR Diagnosis using Task-Agnostic Training | arXiv | 2021 | Link |
| Federated Submodel Optimization for Hot and Cold Data Features | arXiv | 2021 | Link |
| Federated Test-Time Adaptive Face Presentation Attack Detection with Dual-Phase Privacy Preservation | arXiv | 2021 | Link |
| Federated Unbiased Learning to Rank | arXiv | 2021 | Link |
| Federated Unlearning via Class-Discriminative Pruning | arXiv | 2021 | Link |
| Federated Variational Learning for Anomaly Detection in Multivariate Time Series | arXiv | 2021 | Link |
| Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures | arXiv | 2021 | Link |
| Federated Word2Vec: Leveraging Federated Learning to Encourage Collaborative Representation Learning | arXiv | 2021 | Link |
| Federated learning and next generation wireless communications: A survey on bidirectional relationship | arXiv | 2021 | Link |
| Federated mmWave Beam Selection Utilizing LIDAR Data | arXiv | 2021 | Link |
| FederatedNILM: A Distributed and Privacy-preserving Framework for Non-intrusive Load Monitoring based on Federated Deep Learning | arXiv | 2021 | Link |
| Federating Scholarly Infrastructures with GraphQL | arXiv | 2021 | Link |
| Federating for Learning Group Fair Models | arXiv | 2021 | Link |
| Fedlearn-Algo: A flexible open-source privacy-preserving machine learning platform | arXiv | 2021 | Link |
| Fidel: Reconstructing Private Training Samples from Weight Updates in Federated Learning | arXiv | 2021 | Link |
| Fine-Grained Data Selection for Improved Energy Efficiency of Federated Edge Learning | arXiv | 2021 | Link |
| FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout | arXiv | 2021 | Link |
| Flatee: Federated Learning Across Trusted Execution Environments | arXiv | 2021 | Link |
| Flexible Clustered Federated Learning for Client-Level Data Distribution Shift | arXiv | 2021 | Link |
| Forget-SVGD: Particle-Based Bayesian Federated Unlearning | arXiv | 2021 | Link |
| From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization | arXiv | 2021 | Link |
| From Distributed Machine Learning to Federated Learning: A Survey | arXiv | 2021 | Link |
| From the Beginning: Key Transitions in the First 15 Years of DNSSEC | arXiv | 2021 | Link |
| Fully Decentralized and Federated Low Rank Compressive Sensing | arXiv | 2021 | Link |
| Fusion of Federated Learning and Industrial Internet of Things: A Survey | arXiv | 2021 | Link |
| GIFAIR-FL: A Framework for Group and Individual Fairness in Federated Learning | arXiv | 2021 | Link |
| GRP-FED: Addressing Client Imbalance in Federated Learning via Global-Regularized Personalization | arXiv | 2021 | Link |
| GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning | arXiv | 2021 | Link |
| Gain without Pain: Offsetting DP-injected Nosies Stealthily in Cross-device Federated Learning | arXiv | 2021 | Link |
| Game of Gradients: Mitigating Irrelevant Clients in Federated Learning | arXiv | 2021 | Link |
| Generalization Bounds for Noisy Iterative Algorithms Using Properties of Additive Noise Channels | arXiv | 2021 | Link |
| Generation of Synthetic Electronic Health Records Using a Federated GAN | arXiv | 2021 | Link |
| Genetic CFL: Optimization of Hyper-Parameters in Clustered Federated Learning | arXiv | 2021 | Link |
| Global Index on Financial Losses due to Crime in the United States | arXiv | 2021 | Link |
| Goodness (of fit) of Imputation Accuracy: The GoodImpact Analysis | arXiv | 2021 | Link |
| Gradient Masked Federated Optimization | arXiv | 2021 | Link |
| Gradient-Leakage Resilient Federated Learning | arXiv | 2021 | Link |
| Green Software Lab: Towards an Engineering Discipline for Green Software | arXiv | 2021 | Link |
| Ground-Assisted Federated Learning in LEO Satellite Constellations | arXiv | 2021 | Link |
| H-FL: A Hierarchical Communication-Efficient and Privacy-Protected Architecture for Federated Learning | arXiv | 2021 | Link |
| HADFL: Heterogeneity-aware Decentralized Federated Learning Framework | arXiv | 2021 | Link |
| HAFLO: GPU-Based Acceleration for Federated Logistic Regression | arXiv | 2021 | Link |
| HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images | arXiv | 2021 | Link |
| Herd Behavior in Crypto Asset Market and Effect of Financial Information on Herd Behavior | arXiv | 2021 | Link |
| Heterogeneity for the Win: One-Shot Federated Clustering | arXiv | 2021 | Link |
| Heterogeneous Federated Learning using Dynamic Model Pruning and Adaptive Gradient | arXiv | 2021 | Link |
| Heterogeneous Responses to the U.S. Narrative Tax Changes: Evidence from the U.S. States | arXiv | 2021 | Link |
| Hierarchical Bayesian Bandits | arXiv | 2021 | Link |
| Hierarchical Electricity and Carbon Trading in Transmission and Distribution Networks Based on Virtual Federated Prosumer | arXiv | 2021 | Link |
| Hierarchical Federated Learning based Anomaly Detection using Digital Twins for Smart Healthcare | arXiv | 2021 | Link |
| Hierarchical Federated Learning with Quantization: Convergence Analysis and System Design | arXiv | 2021 | Link |
| Hierarchical Over-the-Air Federated Edge Learning | arXiv | 2021 | Link |
| High-Performance Ptychographic Reconstruction with Federated Facilities | arXiv | 2021 | Link |
| Homogeneous Learning: Self-Attention Decentralized Deep Learning | arXiv | 2021 | Link |
| How Does Cell-Free Massive MIMO Support Multiple Federated Learning Groups? | arXiv | 2021 | Link |
| How global observation works in Federated Learning: Integrating vertical training into Horizontal Federated Learning | arXiv | 2021 | Link |
| HyFed: A Hybrid Federated Framework for Privacy-preserving Machine Learning | arXiv | 2021 | Link |
| IFedAvg: Interpretable Data-Interoperability for Federated Learning | arXiv | 2021 | Link |
| IPLS : A Framework for Decentralized Federated Learning | arXiv | 2021 | Link |
| Identification at the Zero Lower Bound | arXiv | 2021 | Link |
| Identifying tax evasion in Mexico with tools from network science and machine learning | arXiv | 2021 | Link |
| Imagine All the People: Citizen Science, Artificial Intelligence, and Computational Research | arXiv | 2021 | Link |
| Implicit Gradient Alignment in Distributed and Federated Learning | arXiv | 2021 | Link |
| Implicit Model Specialization through DAG-based Decentralized Federated Learning | arXiv | 2021 | Link |
| Improving Fairness for Data Valuation in Horizontal Federated Learning | arXiv | 2021 | Link |
| Improving Fairness via Federated Learning | arXiv | 2021 | Link |
| Improving Performance of Federated Learning based Medical Image Analysis in Non-IID Settings using Image Augmentation | arXiv | 2021 | Link |
| Improving Ranking Quality and Fairness in Swiss-System Chess Tournaments | arXiv | 2021 | Link |
| In-network Computation for Large-scale Federated Learning over Wireless Edge Networks | arXiv | 2021 | Link |
| Incentive Mechanism Design for Federated Learning: Hedonic Game Approach | arXiv | 2021 | Link |
| Incentive Mechanisms for Federated Learning: From Economic and Game Theoretic Perspective | arXiv | 2021 | Link |
| Industrial Digital Twins at the Nexus of NextG Wireless Networks and Computational Intelligence: A Survey | arXiv | 2021 | Link |
| Infinitely Divisible Noise in the Low Privacy Regime | arXiv | 2021 | Link |
| Influence of cognitive, geographical, and collaborative proximity on knowledge production of Canadian nanotechnology | arXiv | 2021 | Link |
| Information Stealing in Federated Learning Systems Based on Generative Adversarial Networks | arXiv | 2021 | Link |
| Integrating Over-the-Air Federated Learning and Non-Orthogonal Multiple Access: What Role can RIS Play? | arXiv | 2021 | Link |
| Intrinisic Gradient Compression for Federated Learning | arXiv | 2021 | Link |
| IoT Roadmap: Support for Internet of Things Software Systems Engineering | arXiv | 2021 | Link |
| Is Bitcoin really a currency? A viewpoint of a stochastic volatility model | arXiv | 2021 | Link |
| Is Shapley Value fair? Improving Client Selection for Mavericks in Federated Learning | arXiv | 2021 | Link |
| Iterated Vector Fields and Conservatism, with Applications to Federated Learning | arXiv | 2021 | Link |
| Joint Client Scheduling and Resource Allocation under Channel Uncertainty in Federated Learning | arXiv | 2021 | Link |
| Joint Optimization of Communications and Federated Learning Over the Air | arXiv | 2021 | Link |
| Joint Superposition Coding and Training for Federated Learning over Multi-Width Neural Networks | arXiv | 2021 | Link |
| Jointly Learning from Decentralized (Federated) and Centralized Data to Mitigate Distribution Shift | arXiv | 2021 | Link |
| Knowledge Distillation For Wireless Edge Learning | arXiv | 2021 | Link |
| LEGATO: A LayerwisE Gradient AggregaTiOn Algorithm for Mitigating Byzantine Attacks in Federated Learning | arXiv | 2021 | Link |
| Latency Analysis of Consortium Blockchained Federated Learning | arXiv | 2021 | Link |
| Layer-wise Adaptive Model Aggregation for Scalable Federated Learning | arXiv | 2021 | Link |
| Layer-wise and Dimension-wise Locally Adaptive Federated Learning | arXiv | 2021 | Link |
| Learning Federated Representations and Recommendations with Limited Negatives | arXiv | 2021 | Link |
| Learning Rate Optimization for Federated Learning Exploiting Over-the-air Computation | arXiv | 2021 | Link |
| Learning to Coordinate in Multi-Agent Systems: A Coordinated Actor-Critic Algorithm and Finite-Time Guarantees | arXiv | 2021 | Link |
| Learning-based Prediction, Rendering and Transmission for Interactive Virtual Reality in RIS-Assisted Terahertz Networks | arXiv | 2021 | Link |
| Leveraging Public-Private Blockchain Interoperability for Closed Consortium Interfacing | arXiv | 2021 | Link |
| Leveraging Sharing Communities to Achieve Federated Learning for Cybersecurity | arXiv | 2021 | Link |
| Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation | arXiv | 2021 | Link |
| Leveraging a Federation of Knowledge Graphs to Improve Faceted Search in Digital Libraries | arXiv | 2021 | Link |
| LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning | arXiv | 2021 | Link |
| Lightweight Transformer in Federated Setting for Human Activity Recognition | arXiv | 2021 | Link |
| Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients | arXiv | 2021 | Link |
| Linear Regression over Networks with Communication Guarantees | arXiv | 2021 | Link |
| Lithography Hotspot Detection via Heterogeneous Federated Learning with Local Adaptation | arXiv | 2021 | Link |
| Local Adaptivity in Federated Learning: Convergence and Consistency | arXiv | 2021 | Link |
| Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning | arXiv | 2021 | Link |
| Local Learning at the Network Edge for Efficient & Secure Real-Time Predictive Analytics | arXiv | 2021 | Link |
| Local SGD Optimizes Overparameterized Neural Networks in Polynomial Time | arXiv | 2021 | Link |
| Local-Global Knowledge Distillation in Heterogeneous Federated Learning with Non-IID Data | arXiv | 2021 | Link |
| Locally Differentially Private Sparse Vector Aggregation | arXiv | 2021 | Link |
| Location Leakage in Federated Signal Maps | arXiv | 2021 | Link |
| Loss Tolerant Federated Learning | arXiv | 2021 | Link |
| Lossless Compression of Efficient Private Local Randomizers | arXiv | 2021 | Link |
| Low-Latency Federated Learning over Wireless Channels with Differential Privacy | arXiv | 2021 | Link |
| MANDERA: Malicious Node Detection in Federated Learning via Ranking | arXiv | 2021 | Link |
| MARINA: Faster Non-Convex Distributed Learning with Compression | arXiv | 2021 | Link |
| MEDAL: An AI-driven Data Fabric Concept for Elastic Cloud-to-Edge Intelligence | arXiv | 2021 | Link |
| Making a Case for Federated Learning in the Internet of Vehicles and Intelligent Transportation Systems | arXiv | 2021 | Link |
| Management of Resource at the Network Edge for Federated Learning | arXiv | 2021 | Link |
| MarS-FL: Enabling Competitors to Collaborate in Federated Learning | arXiv | 2021 | Link |
| Market Potential for CO$_2$ Removal and Sequestration from Renewable Natural Gas Production in California | arXiv | 2021 | Link |
| Measuring Law Over Time: A Network Analytical Framework with an Application to Statutes and Regulations in the United States and Germany | arXiv | 2021 | Link |
| MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation | arXiv | 2021 | Link |
| Megha: Decentralized Global Fair Scheduling for Federated Clusters | arXiv | 2021 | Link |
| Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning | arXiv | 2021 | Link |
| Memory-aware curriculum federated learning for breast cancer classification | arXiv | 2021 | Link |
| Meta Federated Learning | arXiv | 2021 | Link |
| Minibatch vs Local SGD with Shuffling: Tight Convergence Bounds and Beyond | arXiv | 2021 | Link |
| Minimax Estimation for Personalized Federated Learning: An Alternative between FedAvg and Local Training? | arXiv | 2021 | Link |
| Mobile Reconfigurable Intelligent Surfaces for NOMA Networks: Federated Learning Approaches | arXiv | 2021 | Link |
| Mobility-Aware Cluster Federated Learning in Hierarchical Wireless Networks | arXiv | 2021 | Link |
| Mobility-Aware Routing and Caching: A Federated Learning Assisted Approach | arXiv | 2021 | Link |
| Model-Based Reinforcement Learning Framework of Online Network Resource Allocation | arXiv | 2021 | Link |
| Model-Contrastive Federated Learning | arXiv | 2021 | Link |
| Modeling and Analysis of Intermittent Federated Learning Over Cellular-Connected UAV Networks | arXiv | 2021 | Link |
| Models of fairness in federated learning | arXiv | 2021 | Link |
| Modern risks of small businesses | arXiv | 2021 | Link |
| Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices | arXiv | 2021 | Link |
| MotionInput v2.0 supporting DirectX: A modular library of open-source gesture-based machine learning and computer vision methods for interacting and controlling existing software with a webcam | arXiv | 2021 | Link |
| Multi-Center Federated Learning: Clients Clustering for Better Personalization | arXiv | 2021 | Link |
| Multi-Provider NFV Network Service Delegation via Average Reward Reinforcement Learning | arXiv | 2021 | Link |
| Multi-Task Federated Reinforcement Learning with Adversaries | arXiv | 2021 | Link |
| Multi-Tier Federated Learning for Vertically Partitioned Data | arXiv | 2021 | Link |
| Multi-VFL: A Vertical Federated Learning System for Multiple Data and Label Owners | arXiv | 2021 | Link |
| Multi-institutional Collaborations for Improving Deep Learning-based Magnetic Resonance Image Reconstruction Using Federated Learning | arXiv | 2021 | Link |
| Multi-resource allocation for federated settings: A non-homogeneous Markov chain model | arXiv | 2021 | Link |
| Multi-task Federated Edge Learning (MtFEEL) in Wireless Networks | arXiv | 2021 | Link |
| Multi-task Federated Learning for Heterogeneous Pancreas Segmentation | arXiv | 2021 | Link |
| Multimodal Federated Learning on IoT Data | arXiv | 2021 | Link |
| Multiple Kernel-Based Online Federated Learning | arXiv | 2021 | Link |
| Neural Tangent Kernel Empowered Federated Learning | arXiv | 2021 | Link |
| New Metrics to Evaluate the Performance and Fairness of Personalized Federated Learning | arXiv | 2021 | Link |
| No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data | arXiv | 2021 | Link |
| Node Selection Toward Faster Convergence for Federated Learning on Non-IID Data | arXiv | 2021 | Link |
| Non-IID data and Continual Learning processes in Federated Learning: A long road ahead | arXiv | 2021 | Link |
| Nothing Wasted: Full Contribution Enforcement in Federated Edge Learning | arXiv | 2021 | Link |
| OCTOPUS: Overcoming Performance andPrivatization Bottlenecks in Distributed Learning | arXiv | 2021 | Link |
| Offloading Optimization with Delay Distribution in the 3-tier Federated Cloud, Edge, and Fog Systems | arXiv | 2021 | Link |
| OmniLytics: A Blockchain-based Secure Data Market for Decentralized Machine Learning | arXiv | 2021 | Link |
| On Addressing Heterogeneity in Federated Learning for Autonomous Vehicles Connected to a Drone Orchestrator | arXiv | 2021 | Link |
| On Bridging Generic and Personalized Federated Learning for Image Classification | arXiv | 2021 | Link |
| On Convergence of Federated Averaging Langevin Dynamics | arXiv | 2021 | Link |
| On Data Efficiency of Meta-learning | arXiv | 2021 | Link |
| On In-network learning. A Comparative Study with Federated and Split Learning | arXiv | 2021 | Link |
| On Large-Cohort Training for Federated Learning | arXiv | 2021 | Link |
| On Second-order Optimization Methods for Federated Learning | arXiv | 2021 | Link |
| On Seven Fundamental Optimization Challenges in Machine Learning | arXiv | 2021 | Link |
| On a weighted two-phase boundary obstacle problem | arXiv | 2021 | Link |
| On the Connectivity and Giant Component Size of Random K-out Graphs Under Randomly Deleted Nodes | arXiv | 2021 | Link |
| On the Convergence Time of Federated Learning Over Wireless Networks Under Imperfect CSI | arXiv | 2021 | Link |
| On the Convergence of Differentially Private Federated Learning on Non-Lipschitz Objectives, and with Normalized Client Updates | arXiv | 2021 | Link |
| On the Impact of Device and Behavioral Heterogeneity in Federated Learning | arXiv | 2021 | Link |
| On the Importance of Trust in Next-Generation Networked CPS Systems: An AI Perspective | arXiv | 2021 | Link |
| On the Initial Behavior Monitoring Issues in Federated Learning | arXiv | 2021 | Link |
| On the Practicality of Differential Privacy in Federated Learning by Tuning Iteration Times | arXiv | 2021 | Link |
| On the Security & Privacy in Federated Learning | arXiv | 2021 | Link |
| On the Tradeoff between Energy, Precision, and Accuracy in Federated Quantized Neural Networks | arXiv | 2021 | Link |
| On-Board Federated Learning for Dense LEO Constellations | arXiv | 2021 | Link |
| On-Demand Unlabeled Personalized Federated Learning | arXiv | 2021 | Link |
| On-device Federated Learning with Flower | arXiv | 2021 | Link |
| On-the-fly Resource-Aware Model Aggregation for Federated Learning in Heterogeneous Edge | arXiv | 2021 | Link |
| One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning | arXiv | 2021 | Link |
| One-Point Feedback for Composite Optimization with Applications to Distributed and Federated Learning | arXiv | 2021 | Link |
| OpenFL: An open-source framework for Federated Learning | arXiv | 2021 | Link |
| OpenFed: A Comprehensive and Versatile Open-Source Federated Learning Framework | arXiv | 2021 | Link |
| Opportunistic Federated Learning: An Exploration of Egocentric Collaboration for Pervasive Computing Applications | arXiv | 2021 | Link |
| Opportunistic Federation of CubeSat Constellations: a Game-Changing Paradigm Enabling Enhanced IoT Services in the Sky | arXiv | 2021 | Link |
| Opportunities of Federated Learning in Connected, Cooperative and Automated Industrial Systems | arXiv | 2021 | Link |
| Optimal Accounting of Differential Privacy via Characteristic Function | arXiv | 2021 | Link |
| Optimal Model Averaging: Towards Personalized Collaborative Learning | arXiv | 2021 | Link |
| Optimal Rate Adaption in Federated Learning with Compressed Communications | arXiv | 2021 | Link |
| Optimality and Stability in Federated Learning: A Game-theoretic Approach | arXiv | 2021 | Link |
| Optimization of User Selection and Bandwidth Allocation for Federated Learning in VLC/RF Systems | arXiv | 2021 | Link |
| Optimization-Based GenQSGD for Federated Edge Learning | arXiv | 2021 | Link |
| Optimized Power Control Design for Over-the-Air Federated Edge Learning | arXiv | 2021 | Link |
| Optimizing the Numbers of Queries and Replies in Federated Learning with Differential Privacy | arXiv | 2021 | Link |
| Order Optimal Bounds for One-Shot Federated Learning over non-Convex Loss Functions | arXiv | 2021 | Link |
| Output, Employment, and Price Effects of U.S. Narrative Tax Changes: A Factor-Augmented Vector Autoregression Approach | arXiv | 2021 | Link |
| Over-the-Air Aggregation for Federated Learning: Waveform Superposition and Prototype Validation | arXiv | 2021 | Link |
| Over-the-Air Computation with DFT-spread OFDM for Federated Edge Learning | arXiv | 2021 | Link |
| Over-the-Air Decentralized Federated Learning | arXiv | 2021 | Link |
| Over-the-Air Federated Learning with Retransmissions (Extended Version) | arXiv | 2021 | Link |
| Over-the-Air Federated Multi-Task Learning | arXiv | 2021 | Link |
| Over-the-Air Federated Multi-Task Learning Over MIMO Multiple Access Channels | arXiv | 2021 | Link |
| PFA: Privacy-preserving Federated Adaptation for Effective Model Personalization | arXiv | 2021 | Link |
| PMFL: Partial Meta-Federated Learning for heterogeneous tasks and its applications on real-world medical records | arXiv | 2021 | Link |
| PPT: A Privacy-Preserving Global Model Training Protocol for Federated Learning in P2P Networks | arXiv | 2021 | Link |
| Packet Routing with Graph Attention Multi-agent Reinforcement Learning | arXiv | 2021 | Link |
| Papaya: Practical, Private, and Scalable Federated Learning | arXiv | 2021 | Link |
| Parameterized Knowledge Transfer for Personalized Federated Learning | arXiv | 2021 | Link |
| Partial Variable Training for Efficient On-Device Federated Learning | arXiv | 2021 | Link |
| Personalised Federated Learning: A Combinational Approach | arXiv | 2021 | Link |
| Personalized Federated Deep Learning for Pain Estimation From Face Images | arXiv | 2021 | Link |
| Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity | arXiv | 2021 | Link |
| Personalized Federated Learning for Heterogeneous Clients with Clustered Knowledge Transfer | arXiv | 2021 | Link |
| Personalized Federated Learning of Driver Prediction Models for Autonomous Driving | arXiv | 2021 | Link |
| Personalized Federated Learning over non-IID Data for Indoor Localization | arXiv | 2021 | Link |
| Personalized Federated Learning through Local Memorization | arXiv | 2021 | Link |
| Personalized Federated Learning using Hypernetworks | arXiv | 2021 | Link |
| Personalized Federated Learning with Adaptive Batchnorm for Healthcare | arXiv | 2021 | Link |
| Personalized Federated Learning with Clustering: Non-IID Heart Rate Variability Data Application | arXiv | 2021 | Link |
| Personalized Federated Learning with Contextualized Generalization | arXiv | 2021 | Link |
| Personalized Federated Learning with Gaussian Processes | arXiv | 2021 | Link |
| Personalized Federated Learning: A Unified Framework and Universal Optimization Techniques | arXiv | 2021 | Link |
| Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning | arXiv | 2021 | Link |
| Personalized Semi-Supervised Federated Learning for Human Activity Recognition | arXiv | 2021 | Link |
| Poisoning Attacks to Local Differential Privacy Protocols for Key-Value Data | arXiv | 2021 | Link |
| Power Allocation for Wireless Federated Learning using Graph Neural Networks | arXiv | 2021 | Link |
| Practical Adoption of Cloud Computing in Power Systems- Drivers, Challenges, Guidance, and Real-world Use Cases | arXiv | 2021 | Link |
| Practical Lossless Federated Singular Vector Decomposition over Billion-Scale Data | arXiv | 2021 | Link |
| Practical and Light-weight Secure Aggregation for Federated Submodel Learning | arXiv | 2021 | Link |
| Practical and Private (Deep) Learning without Sampling or Shuffling | arXiv | 2021 | Link |
| Practical and Secure Federated Recommendation with Personalized Masks | arXiv | 2021 | Link |
| Precision-Weighted Federated Learning | arXiv | 2021 | Link |
| Preliminary Steps Towards Federated Sentiment Classification | arXiv | 2021 | Link |
| Preservation of the Global Knowledge by Not-True Distillation in Federated Learning | arXiv | 2021 | Link |
| Preserved central model for faster bidirectional compression in distributed settings | arXiv | 2021 | Link |
| Preventing and Controlling Epidemics through Blockchain-Assisted AI-Enabled Networks | arXiv | 2021 | Link |
| Prior-Independent Auctions for the Demand Side of Federated Learning | arXiv | 2021 | Link |
| Privacy Threats Analysis to Secure Federated Learning | arXiv | 2021 | Link |
| Privacy and Trust Redefined in Federated Machine Learning | arXiv | 2021 | Link |
| Privacy attacks for automatic speech recognition acoustic models in a federated learning framework | arXiv | 2021 | Link |
| Privacy enabled Financial Text Classification using Differential Privacy and Federated Learning | arXiv | 2021 | Link |
| Privacy-Preserving Communication-Efficient Federated Multi-Armed Bandits | arXiv | 2021 | Link |
| Privacy-Preserving Constrained Domain Generalization via Gradient Alignment | arXiv | 2021 | Link |
| Privacy-Preserving Learning of Human Activity Predictors in Smart Environments | arXiv | 2021 | Link |
| Privacy-Preserving Self-Taught Federated Learning for Heterogeneous Data | arXiv | 2021 | Link |
| Privacy-Preserving Wireless Federated Learning Exploiting Inherent Hardware Impairments | arXiv | 2021 | Link |
| Privacy-preserving Federated Adversarial Domain Adaption over Feature Groups for Interpretability | arXiv | 2021 | Link |
| Privacy-preserving Federated Learning for Residential Short Term Load Forecasting | arXiv | 2021 | Link |
| Privacy-preserving Logistic Regression with Secret Sharing | arXiv | 2021 | Link |
| Privacy-preserving Spatiotemporal Scenario Generation of Renewable Energies: A Federated Deep Generative Learning Approach | arXiv | 2021 | Link |
| Private Cross-Silo Federated Learning for Extracting Vaccine Adverse Event Mentions | arXiv | 2021 | Link |
| Private Federated Learning Without a Trusted Server: Optimal Algorithms for Convex Losses | arXiv | 2021 | Link |
| Private Hierarchical Clustering in Federated Networks | arXiv | 2021 | Link |
| Private Language Model Adaptation for Speech Recognition | arXiv | 2021 | Link |
| Private Multi-Task Learning: Formulation and Applications to Federated Learning | arXiv | 2021 | Link |
| Private Retrieval, Computing and Learning: Recent Progress and Future Challenges | arXiv | 2021 | Link |
| Probabilistic Inference for Learning from Untrusted Sources | arXiv | 2021 | Link |
| Proceedings 37th International Conference on Logic Programming (Technical Communications) | arXiv | 2021 | Link |
| ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training | arXiv | 2021 | Link |
| Pronto: Federated Task Scheduling | arXiv | 2021 | Link |
| Proposal of representative portfolios for federal roadway bridges in Northeastern Brazil | arXiv | 2021 | Link |
| Prospects And Challenges In Digitization: The Case Study Of Federal Parliament Of Nepal | arXiv | 2021 | Link |
| Protecting Privacy and Transforming COVID-19 Case Surveillance Datasets for Public Use | arXiv | 2021 | Link |
| Protection of the Rights of Large Families as One of the Key Tasks of the State's Social Policy | arXiv | 2021 | Link |
| Prototype Guided Federated Learning of Visual Feature Representations | arXiv | 2021 | Link |
| Provably Efficient Cooperative Multi-Agent Reinforcement Learning with Function Approximation | arXiv | 2021 | Link |
| Provably Secure Federated Learning against Malicious Clients | arXiv | 2021 | Link |
| Provisioning Fog Services to 3GPP Subscribers: Authentication and Application Mobility | arXiv | 2021 | Link |
| Proximal and Federated Random Reshuffling | arXiv | 2021 | Link |
| Putting a price on tenure | arXiv | 2021 | Link |
| PyVertical: A Vertical Federated Learning Framework for Multi-headed SplitNN | arXiv | 2021 | Link |
| QLSD: Quantised Langevin stochastic dynamics for Bayesian federated learning | arXiv | 2021 | Link |
| QoS-Constrained Federated Learning Empowered by Intelligent Reflecting Surface | arXiv | 2021 | Link |
| Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes | arXiv | 2021 | Link |
| QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning | arXiv | 2021 | Link |
| QuPeL: Quantized Personalization with Applications to Federated Learning | arXiv | 2021 | Link |
| Quality monitoring of federated Covid-19 lesion segmentation | arXiv | 2021 | Link |
| Quantifying Grid Resilience Against Extreme Weather Using Large-Scale Customer Power Outage Data | arXiv | 2021 | Link |
| Quantifying and Avoiding Unfair Qualification Labour in Crowdsourcing | arXiv | 2021 | Link |
| Quantized Federated Learning under Transmission Delay and Outage Constraints | arXiv | 2021 | Link |
| Quantum Federated Learning with Quantum Data | arXiv | 2021 | Link |
| QuantumFed: A Federated Learning Framework for Collaborative Quantum Training | arXiv | 2021 | Link |
| R-Learning Based Admission Control for Service Federation in Multi-domain 5G Networks | arXiv | 2021 | Link |
| RTGPU: Real-Time GPU Scheduling of Hard Deadline Parallel Tasks with Fine-Grain Utilization | arXiv | 2021 | Link |
| Randomized Controlled Trials without Data Retention | arXiv | 2021 | Link |
| Reaching the bubble may not be enough: news media role in online political polarization | arXiv | 2021 | Link |
| Real-time End-to-End Federated Learning: An Automotive Case Study | arXiv | 2021 | Link |
| Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary | arXiv | 2021 | Link |
| Reference Service Model for Federated Identity Management | arXiv | 2021 | Link |
| Regulating Ownership Verification for Deep Neural Networks: Scenarios, Protocols, and Prospects | arXiv | 2021 | Link |
| Relay-Assisted Cooperative Federated Learning | arXiv | 2021 | Link |
| Renyi Differential Privacy of the Subsampled Shuffle Model in Distributed Learning | arXiv | 2021 | Link |
| Research on Resource Allocation for Efficient Federated Learning | arXiv | 2021 | Link |
| Resource Allocation for Simultaneous Wireless Information and Power Transfer Systems: A Tutorial Overview | arXiv | 2021 | Link |
| Resource Rationing for Wireless Federated Learning: Concept, Benefits, and Challenges | arXiv | 2021 | Link |
| Resource-Aware Asynchronous Online Federated Learning for Nonlinear Regression | arXiv | 2021 | Link |
| Resource-Efficient Federated Learning | arXiv | 2021 | Link |
| Resource-Efficient and Delay-Aware Federated Learning Design under Edge Heterogeneity | arXiv | 2021 | Link |
| Resource-constrained Federated Edge Learning with Heterogeneous Data: Formulation and Analysis | arXiv | 2021 | Link |
| Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions | arXiv | 2021 | Link |
| Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning | arXiv | 2021 | Link |
| Revealing and Protecting Labels in Distributed Training | arXiv | 2021 | Link |
| Reward-Based 1-bit Compressed Federated Distillation on Blockchain | arXiv | 2021 | Link |
| Rightsizing the Railway Signal Workforce: a Zero-Based Resourcing Approach Towards Asset Management | arXiv | 2021 | Link |
| RingBFT: Resilient Consensus over Sharded Ring Topology | arXiv | 2021 | Link |
| RingFed: Reducing Communication Costs in Federated Learning on Non-IID Data | arXiv | 2021 | Link |
| RoFL: Robustness of Secure Federated Learning | arXiv | 2021 | Link |
| Robbing the Fed: Directly Obtaining Private Data in Federated Learning with Modified Models | arXiv | 2021 | Link |
| Robust Blockchained Federated Learning with Model Validation and Proof-of-Stake Inspired Consensus | arXiv | 2021 | Link |
| Robust Convergence in Federated Learning through Label-wise Clustering | arXiv | 2021 | Link |
| Robust Federated Learning by Mixture of Experts | arXiv | 2021 | Link |
| Robust Federated Learning for execution time-based device model identification under label-flipping attack | arXiv | 2021 | Link |
| Robust Federated Learning via Over-The-Air Computation | arXiv | 2021 | Link |
| Robust and Differentially Private Mean Estimation | arXiv | 2021 | Link |
| RobustFed: A Truth Inference Approach for Robust Federated Learning | arXiv | 2021 | Link |
| Robustness of Meta Matrix Factorization Against Strict Privacy Constraints | arXiv | 2021 | Link |
| SAFE: Secure Aggregation with Failover and Encryption | arXiv | 2021 | Link |
| SCEI: A Smart-Contract Driven Edge Intelligence Framework for IoT Systems | arXiv | 2021 | Link |
| SOAR: Minimizing Network Utilization with Bounded In-network Computing | arXiv | 2021 | Link |
| SPIDER: Searching Personalized Neural Architecture for Federated Learning | arXiv | 2021 | Link |
| SSFL: Tackling Label Deficiency in Federated Learning via Personalized Self-Supervision | arXiv | 2021 | Link |
| STAR-RIS Integrated Non-Orthogonal Multiple Access and Over-the-Air Federated Learning: Framework, Analysis, and Optimization | arXiv | 2021 | Link |
| STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning | arXiv | 2021 | Link |
| STFL: A Temporal-Spatial Federated Learning Framework for Graph Neural Networks | arXiv | 2021 | Link |
| Sample and Threshold Differential Privacy: Histograms and applications | arXiv | 2021 | Link |
| Sample-based Federated Learning via Mini-batch SSCA | arXiv | 2021 | Link |
| Sample-based and Feature-based Federated Learning for Unconstrained and Constrained Nonconvex Optimization via Mini-batch SSCA | arXiv | 2021 | Link |
| Satellite Based Computing Networks with Federated Learning | arXiv | 2021 | Link |
| Scalable Multi-agent Reinforcement Learning Algorithm for Wireless Networks | arXiv | 2021 | Link |
| Scalable federated machine learning with FEDn | arXiv | 2021 | Link |
| Scaling Federated Learning for Fine-tuning of Large Language Models | arXiv | 2021 | Link |
| Scaling Neuroscience Research using Federated Learning | arXiv | 2021 | Link |
| Scared into Action: How Partisanship and Fear are Associated with Reactions to Public Health Directives | arXiv | 2021 | Link |
| Scatterbrained: A flexible and expandable pattern for decentralized machine learning | arXiv | 2021 | Link |
| Scrybe: A Secure Audit Trail for Clinical Trial Data Fusion | arXiv | 2021 | Link |
| SecFL: Confidential Federated Learning using TEEs | arXiv | 2021 | Link |
| Secure Aggregation for Buffered Asynchronous Federated Learning | arXiv | 2021 | Link |
| Secure Bayesian Federated Analytics for Privacy-Preserving Trend Detection | arXiv | 2021 | Link |
| Secure Byzantine-Robust Distributed Learning via Clustering | arXiv | 2021 | Link |
| Secure Linear Aggregation Using Decentralized Threshold Additive Homomorphic Encryption For Federated Learning | arXiv | 2021 | Link |
| Secure Neuroimaging Analysis using Federated Learning with Homomorphic Encryption | arXiv | 2021 | Link |
| Secure and Efficient Federated Learning Through Layering and Sharding Blockchain | arXiv | 2021 | Link |
| Secure and Privacy-Preserving Federated Learning via Co-Utility | arXiv | 2021 | Link |
| SecureBoost+: Large Scale and High-Performance Vertical Federated Gradient Boosting Decision Tree | arXiv | 2021 | Link |
| Security and Privacy for Artificial Intelligence: Opportunities and Challenges | arXiv | 2021 | Link |
| See through Gradients: Image Batch Recovery via GradInversion | arXiv | 2021 | Link |
| Segmented Federated Learning for Adaptive Intrusion Detection System | arXiv | 2021 | Link |
| Self-supervised Cross-silo Federated Neural Architecture Search | arXiv | 2021 | Link |
| Semantic-Aware Collaborative Deep Reinforcement Learning Over Wireless Cellular Networks | arXiv | 2021 | Link |
| Semi-Decentralized Federated Edge Learning for Fast Convergence on Non-IID Data | arXiv | 2021 | Link |
| Semi-Decentralized Federated Edge Learning with Data and Device Heterogeneity | arXiv | 2021 | Link |
| Semi-Decentralized Federated Learning with Cooperative D2D Local Model Aggregations | arXiv | 2021 | Link |
| Semi-Supervised Federated Learning with non-IID Data: Algorithm and System Design | arXiv | 2021 | Link |
| Semi-Supervised Federated Peer Learning for Skin Lesion Classification | arXiv | 2021 | Link |
| Semi-Synchronous Federated Learning for Energy-Efficient Training and Accelerated Convergence in Cross-Silo Settings | arXiv | 2021 | Link |
| Semi-asynchronous Hierarchical Federated Learning for Cooperative Intelligent Transportation Systems | arXiv | 2021 | Link |
| SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training | arXiv | 2021 | Link |
| SemiFed: Semi-supervised Federated Learning with Consistency and Pseudo-Labeling | arXiv | 2021 | Link |
| Sensing and Mapping for Better Roads: Initial Plan for Using Federated Learning and Implementing a Digital Twin to Identify the Road Conditions in a Developing Country -- Sri Lanka | arXiv | 2021 | Link |
| Separate but Together: Unsupervised Federated Learning for Speech Enhancement from Non-IID Data | arXiv | 2021 | Link |
| Sequence-level self-learning with multiple hypotheses | arXiv | 2021 | Link |
| Sequential Estimation under Multiple Resources: a Bandit Point of View | arXiv | 2021 | Link |
| Server Averaging for Federated Learning | arXiv | 2021 | Link |
| Server-Side Local Gradient Averaging and Learning Rate Acceleration for Scalable Split Learning | arXiv | 2021 | Link |
| Sharp Bounds for Federated Averaging (Local SGD) and Continuous Perspective | arXiv | 2021 | Link |
| Short Rate Dynamics: A Fed Funds and SOFR perspective | arXiv | 2021 | Link |
| Should the Endless Frontier of Federal Science be Expanded? | arXiv | 2021 | Link |
| Sim-to-Real Transfer in Multi-agent Reinforcement Networking for Federated Edge Computing | arXiv | 2021 | Link |
| Simeon -- Secure Federated Machine Learning Through Iterative Filtering | arXiv | 2021 | Link |
| Simultaneous Wireless Information and Power Transfer for Federated Learning | arXiv | 2021 | Link |
| Slashing Communication Traffic in Federated Learning by Transmitting Clustered Model Updates | arXiv | 2021 | Link |
| Sparse Personalized Federated Learning | arXiv | 2021 | Link |
| Sparsified Secure Aggregation for Privacy-Preserving Federated Learning | arXiv | 2021 | Link |
| Spatial Privacy-aware VR streaming | arXiv | 2021 | Link |
| Spatio-Temporal Federated Learning for Massive Wireless Edge Networks | arXiv | 2021 | Link |
| Specificity-Preserving Federated Learning for MR Image Reconstruction | arXiv | 2021 | Link |
| SplitAVG: A heterogeneity-aware federated deep learning method for medical imaging | arXiv | 2021 | Link |
| Splitfed learning without client-side synchronization: Analyzing client-side split network portion size to overall performance | arXiv | 2021 | Link |
| SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks | arXiv | 2021 | Link |
| Statistical Estimation and Inference via Local SGD in Federated Learning | arXiv | 2021 | Link |
| Stragglers Are Not Disaster: A Hybrid Federated Learning Algorithm with Delayed Gradients | arXiv | 2021 | Link |
| Stronger Privacy for Federated Collaborative Filtering with Implicit Feedback | arXiv | 2021 | Link |
| Subgraph Federated Learning with Missing Neighbor Generation | arXiv | 2021 | Link |
| Sum-Rate-Distortion Function for Indirect Multiterminal Source Coding in Federated Learning | arXiv | 2021 | Link |
| Sustainable Federated Learning | arXiv | 2021 | Link |
| Swiss-Judgment-Prediction: A Multilingual Legal Judgment Prediction Benchmark | arXiv | 2021 | Link |
| TEACHING -- Trustworthy autonomous cyber-physical applications through human-centred intelligence | arXiv | 2021 | Link |
| TEE-based Selective Testing of Local Workers in Federated Learning Systems | arXiv | 2021 | Link |
| Tackling Dynamics in Federated Incremental Learning with Variational Embedding Rehearsal | arXiv | 2021 | Link |
| Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling | arXiv | 2021 | Link |
| Tackling the Local Bias in Federated Graph Learning | arXiv | 2021 | Link |
| Taking Stock of the Present and Future of Smart Technologies for Older Adults and Caregivers | arXiv | 2021 | Link |
| Targeting Underrepresented Populations in Precision Medicine: A Federated Transfer Learning Approach | arXiv | 2021 | Link |
| Temporal-Structure-Assisted Gradient Aggregation for Over-the-Air Federated Edge Learning | arXiv | 2021 | Link |
| The ART-XC telescope on board the SRG observatory | arXiv | 2021 | Link |
| The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation | arXiv | 2021 | Link |
| The Effect of Training Parameters and Mechanisms on Decentralized Federated Learning based on MNIST Dataset | arXiv | 2021 | Link |
| The FeatureCloud AI Store for Federated Learning in Biomedicine and Beyond | arXiv | 2021 | Link |
| The Federated Tumor Segmentation (FeTS) Challenge | arXiv | 2021 | Link |
| The Gradient Convergence Bound of Federated Multi-Agent Reinforcement Learning with Efficient Communication | arXiv | 2021 | Link |
| The Impact of Data Distribution on Fairness and Robustness in Federated Learning | arXiv | 2021 | Link |
| The Increased Effect of Elections and Changing Prime Ministers on Topics Discussed in the Australian Federal Parliament between 1901 and 2018 | arXiv | 2021 | Link |
| The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning | arXiv | 2021 | Link |
| The Magic of Superposition: A Survey on Simultaneous Transmission Based Wireless Systems | arXiv | 2021 | Link |
| The Role of Cross-Silo Federated Learning in Facilitating Data Sharing in the Agri-Food Sector | arXiv | 2021 | Link |
| The Skellam Mechanism for Differentially Private Federated Learning | arXiv | 2021 | Link |
| The Tags Are Alright: Robust Large-Scale RFID Clone Detection Through Federated Data-Augmented Radio Fingerprinting | arXiv | 2021 | Link |
| The optimal lattice quantizer in nine dimensions | arXiv | 2021 | Link |
| Threshold-Based Data Exclusion Approach for Energy-Efficient Federated Edge Learning | arXiv | 2021 | Link |
| Time-Correlated Sparsification for Communication-Efficient Federated Learning | arXiv | 2021 | Link |
| TinyFedTL: Federated Transfer Learning on Tiny Devices | arXiv | 2021 | Link |
| To Talk or to Work: Delay Efficient Federated Learning over Mobile Edge Devices | arXiv | 2021 | Link |
| Toward Communication Efficient Adaptive Gradient Method | arXiv | 2021 | Link |
| Toward Efficient Federated Learning in Multi-Channeled Mobile Edge Network with Layerd Gradient Compression | arXiv | 2021 | Link |
| Toward Real-time Analysis of Experimental Science Workloads on Geographically Distributed Supercomputers | arXiv | 2021 | Link |
| Towards Causal Federated Learning For Enhanced Robustness and Privacy | arXiv | 2021 | Link |
| Towards Communication-Efficient and Privacy-Preserving Federated Representation Learning | arXiv | 2021 | Link |
| Towards Efficient Synchronous Federated Training: A Survey on System Optimization Strategies | arXiv | 2021 | Link |
| Towards Energy Efficient Federated Learning over 5G+ Mobile Devices | arXiv | 2021 | Link |
| Towards Fair Federated Learning with Zero-Shot Data Augmentation | arXiv | 2021 | Link |
| Towards Fairness-Aware Federated Learning | arXiv | 2021 | Link |
| Towards Federated Bayesian Network Structure Learning with Continuous Optimization | arXiv | 2021 | Link |
| Towards Federated Learning on Time-Evolving Heterogeneous Data | arXiv | 2021 | Link |
| Towards Federated Learning-Enabled Visible Light Communication in 6G Systems | arXiv | 2021 | Link |
| Towards General Deep Leakage in Federated Learning | arXiv | 2021 | Link |
| Towards Heterogeneous Clients with Elastic Federated Learning | arXiv | 2021 | Link |
| Towards Model Agnostic Federated Learning Using Knowledge Distillation | arXiv | 2021 | Link |
| Towards More Efficient Federated Learning with Better Optimization Objects | arXiv | 2021 | Link |
| Towards Node Liability in Federated Learning: Computational Cost and Network Overhead | arXiv | 2021 | Link |
| Towards On-Device Federated Learning: A Direct Acyclic Graph-based Blockchain Approach | arXiv | 2021 | Link |
| Towards Personalized Federated Learning | arXiv | 2021 | Link |
| Towards Practical Watermark for Deep Neural Networks in Federated Learning | arXiv | 2021 | Link |
| Towards Privacy-Preserving Affect Recognition: A Two-Level Deep Learning Architecture | arXiv | 2021 | Link |
| Towards Scheduling Federated Deep Learning using Meta-Gradients for Inter-Hospital Learning | arXiv | 2021 | Link |
| Towards Sparse Federated Analytics: Location Heatmaps under Distributed Differential Privacy with Secure Aggregation | arXiv | 2021 | Link |
| Towards Unsupervised Domain Adaptation for Deep Face Recognition under Privacy Constraints via Federated Learning | arXiv | 2021 | Link |
| Towards a Federated Learning Framework for Heterogeneous Devices of Internet of Things | arXiv | 2021 | Link |
| Towards a Paradigmatic Shift in Pre-election Polling Adequately Including Still Undecided Voters -- Some Ideas Based on Set-Valued Data for the 2021 German Federal Election | arXiv | 2021 | Link |
| Training Fair Models in Federated Learning without Data Privacy Infringement | arXiv | 2021 | Link |
| Training Federated GANs with Theoretical Guarantees: A Universal Aggregation Approach | arXiv | 2021 | Link |
| Training Time Minimization for Federated Edge Learning with Optimized Gradient Quantization and Bandwidth Allocation | arXiv | 2021 | Link |
| Transmission Power Control for Over-the-Air Federated Averaging at Network Edge | arXiv | 2021 | Link |
| Transparent Contribution Evaluation for Secure Federated Learning on Blockchain | arXiv | 2021 | Link |
| Trends in Blockchain and Federated Learning for Data Sharing in Distributed Platforms | arXiv | 2021 | Link |
| Triggerflow: Trigger-based Orchestration of Serverless Workflows | arXiv | 2021 | Link |
| Two-Bit Aggregation for Communication Efficient and Differentially Private Federated Learning | arXiv | 2021 | Link |
| U.S. Power Resilience for 2002--2019 | arXiv | 2021 | Link |
| UAV Communications for Sustainable Federated Learning | arXiv | 2021 | Link |
| UAV-assisted Online Machine Learning over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach | arXiv | 2021 | Link |
| Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy | arXiv | 2021 | Link |
| Understanding the Interplay between Privacy and Robustness in Federated Learning | arXiv | 2021 | Link |
| Understanding the growth of the Fediverse through the lens of Mastodon | arXiv | 2021 | Link |
| Understanding the physics of world's fastest non-motorized sport | arXiv | 2021 | Link |
| Undistorted fillings in subsets of metric spaces | arXiv | 2021 | Link |
| UniFed: A Unified Framework for Federated Learning on Non-IID Image Features | arXiv | 2021 | Link |
| Unified Group Fairness on Federated Learning | arXiv | 2021 | Link |
| Unifying Distillation with Personalization in Federated Learning | arXiv | 2021 | Link |
| Unit-Modulus Wireless Federated Learning Via Penalty Alternating Minimization | arXiv | 2021 | Link |
| Universally consistent estimation of the reach | arXiv | 2021 | Link |
| Unsupervised Clustered Federated Learning in Complex Multi-source Acoustic Environments | arXiv | 2021 | Link |
| User Scheduling for Federated Learning Through Over-the-Air Computation | arXiv | 2021 | Link |
| User profile-driven large-scale multi-agent learning from demonstration in federated human-robot collaborative environments | arXiv | 2021 | Link |
| User-Centric Federated Learning | arXiv | 2021 | Link |
| User-Level Label Leakage from Gradients in Federated Learning | arXiv | 2021 | Link |
| Utility Fairness for the Differentially Private Federated Learning | arXiv | 2021 | Link |
| VFSIE -- Development and Testing Framework for Federated Science Instruments | arXiv | 2021 | Link |
| Vertical Federated Learning without Revealing Intersection Membership | arXiv | 2021 | Link |
| Vertical federated learning based on DFP and BFGS | arXiv | 2021 | Link |
| Video-Streaming Biomedical Implants using Ultrasonic Waves for Communication | arXiv | 2021 | Link |
| WAFFLE: Weighted Averaging for Personalized Federated Learning | arXiv | 2021 | Link |
| WebFed: Cross-platform Federated Learning Framework Based on Web Browser with Local Differential Privacy | arXiv | 2021 | Link |
| Weight Divergence Driven Divide-and-Conquer Approach for Optimal Federated Learning from non-IID Data | arXiv | 2021 | Link |
| What Do We Mean by Generalization in Federated Learning? | arXiv | 2021 | Link |
| When Crowdsensing Meets Federated Learning: Privacy-Preserving Mobile Crowdsensing System | arXiv | 2021 | Link |
| Wireless Federated Langevin Monte Carlo: Repurposing Channel Noise for Bayesian Sampling and Privacy | arXiv | 2021 | Link |
| Wireless Federated Learning (WFL) for 6G Networks -- Part I: Research Challenges and Future Trends | arXiv | 2021 | Link |
| Wireless Federated Learning (WFL) for 6G Networks -- Part II: The Compute-then-Transmit NOMA Paradigm | arXiv | 2021 | Link |
| Wireless Federated Learning with Limited Communication and Differential Privacy | arXiv | 2021 | Link |
| Wireless-Enabled Asynchronous Federated Fourier Neural Network for Turbulence Prediction in Urban Air Mobility (UAM) | arXiv | 2021 | Link |
| Wirelessly Powered Federated Edge Learning: Optimal Tradeoffs Between Convergence and Power Transfer | arXiv | 2021 | Link |
| Wyner-Ziv Gradient Compression for Federated Learning | arXiv | 2021 | Link |
| Zero-Shot Federated Learning with New Classes for Audio Classification | arXiv | 2021 | Link |
| ZeroSARAH: Efficient Nonconvex Finite-Sum Optimization with Zero Full Gradient Computation | arXiv | 2021 | Link |
| ppAURORA: Privacy Preserving Area Under Receiver Operating Characteristic and Precision-Recall Curves | arXiv | 2021 | Link |
2020
| Title | Venue | Year | Link |
|---|---|---|---|
| A Concern Analysis of FOMC Statements Comparing The Great Recession and The COVID-19 Pandemic | arXiv | 2020 | Link |
| A Mixed-Method Landscape Analysis of SME-focused B2B Platforms in Germany | arXiv | 2020 | Link |
| A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in Federated Learning | arXiv | 2020 | Link |
| A Review of Machine Learning Techniques for Applied Eye Fundus and Tongue Digital Image Processing with Diabetes Management System | arXiv | 2020 | Link |
| A Semantic Framework for Enabling Radio Spectrum Policy Management and Evaluation | arXiv | 2020 | Link |
| A Systematic Literature Review on Federated Learning: From A Model Quality Perspective | arXiv | 2020 | Link |
| A Theoretical Perspective on Differentially Private Federated Multi-task Learning | arXiv | 2020 | Link |
| A decentralized aggregation mechanism for training deep learning models using smart contract system for bank loan prediction | arXiv | 2020 | Link |
| ASFGNN: Automated Separated-Federated Graph Neural Network | arXiv | 2020 | Link |
| Accurate and Fast Federated Learning via Combinatorial Multi-Armed Bandits | arXiv | 2020 | Link |
| Accurate and Fast Federated Learning via IID and Communication-Aware Grouping | arXiv | 2020 | Link |
| Achieving Security and Privacy in Federated Learning Systems: Survey, Research Challenges and Future Directions | arXiv | 2020 | Link |
| Adaptive Federated Dropout: Improving Communication Efficiency and Generalization for Federated Learning | arXiv | 2020 | Link |
| Adaptive Histogram-Based Gradient Boosted Trees for Federated Learning | arXiv | 2020 | Link |
| Advancements of federated learning towards privacy preservation: from federated learning to split learning | arXiv | 2020 | Link |
| Age-Optimal Power Allocation in Industrial IoT: A Risk-Sensitive Federated Learning Approach | arXiv | 2020 | Link |
| An Autonomous Approach to Measure Social Distances and Hygienic Practices during COVID-19 Pandemic in Public Open Spaces | arXiv | 2020 | Link |
| An Exploratory Analysis on Users' Contributions in Federated Learning | arXiv | 2020 | Link |
| Analysis and Optimal Edge Assignment For Hierarchical Federated Learning on Non-IID Data | arXiv | 2020 | Link |
| Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine Learning | arXiv | 2020 | Link |
| Bandit-based Communication-Efficient Client Selection Strategies for Federated Learning | arXiv | 2020 | Link |
| Bayesian Federated Learning over Wireless Networks | arXiv | 2020 | Link |
| Blockchain Assisted Decentralized Federated Learning (BLADE-FL) with Lazy Clients | arXiv | 2020 | Link |
| Budgeted Online Selection of Candidate IoT Clients to Participate in Federated Learning | arXiv | 2020 | Link |
| CatFedAvg: Optimising Communication-efficiency and Classification Accuracy in Federated Learning | arXiv | 2020 | Link |
| Centrality of nodes in Federated Byzantine Agreement Systems | arXiv | 2020 | Link |
| Coded Computing for Low-Latency Federated Learning over Wireless Edge Networks | arXiv | 2020 | Link |
| Collaborative City Digital Twin For Covid-19 Pandemic: A Federated Learning Solution | arXiv | 2020 | Link |
| Communication-Computation Efficient Secure Aggregation for Federated Learning | arXiv | 2020 | Link |
| Communication-Efficient Federated Distillation | arXiv | 2020 | Link |
| Comparison of Privacy-Preserving Distributed Deep Learning Methods in Healthcare | arXiv | 2020 | Link |
| Computation-free Nonparametric testing for Local and Global Spatial Autocorrelation with application to the Canadian Electorate | arXiv | 2020 | Link |
| Corona-Warn-App: Erste Ergebnisse einer Onlineumfrage zur (Nicht-)Nutzung und Gebrauch | arXiv | 2020 | Link |
| CosSGD: Communication-Efficient Federated Learning with a Simple Cosine-Based Quantization | arXiv | 2020 | Link |
| Cost-Effective Federated Learning Design | arXiv | 2020 | Link |
| DONE: Distributed Approximate Newton-type Method for Federated Edge Learning | arXiv | 2020 | Link |
| Decentralized Federated Learning via Mutual Knowledge Transfer | arXiv | 2020 | Link |
| Deep-LIBRA: Artificial intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment | arXiv | 2020 | Link |
| Design and Analysis of Uplink and Downlink Communications for Federated Learning | arXiv | 2020 | Link |
| Distributed Additive Encryption and Quantization for Privacy Preserving Federated Deep Learning | arXiv | 2020 | Link |
| Distributed Learning with Low Communication Cost via Gradient Boosting Untrained Neural Network | arXiv | 2020 | Link |
| Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications | arXiv | 2020 | Link |
| Dynamic Clustering in Federated Learning | arXiv | 2020 | Link |
| Dynamic backdoor attacks against federated learning | arXiv | 2020 | Link |
| Edge-assisted Democratized Learning Towards Federated Analytics | arXiv | 2020 | Link |
| Energy Efficient Federated Learning over Heterogeneous Mobile Devices via Joint Design of Weight Quantization and Wireless Transmission | arXiv | 2020 | Link |
| Ethnicity and gender influence the decision making in a multinational state: The case of Russia | arXiv | 2020 | Link |
| FAT: Federated Adversarial Training | arXiv | 2020 | Link |
| FDNAS: Improving Data Privacy and Model Diversity in AutoML | arXiv | 2020 | Link |
| FLEAM: A Federated Learning Empowered Architecture to Mitigate DDoS in Industrial IoT | arXiv | 2020 | Link |
| FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping | arXiv | 2020 | Link |
| FLaaS: Federated Learning as a Service | arXiv | 2020 | Link |
| Fairness and Accuracy in Federated Learning | arXiv | 2020 | Link |
| Fast-Convergent Federated Learning with Adaptive Weighting | arXiv | 2020 | Link |
| Faster Non-Convex Federated Learning via Global and Local Momentum | arXiv | 2020 | Link |
| Fed-Focal Loss for imbalanced data classification in Federated Learning | arXiv | 2020 | Link |
| FedADC: Accelerated Federated Learning with Drift Control | arXiv | 2020 | Link |
| FedEval: A Holistic Evaluation Framework for Federated Learning | arXiv | 2020 | Link |
| FedHome: Cloud-Edge based Personalized Federated Learning for In-Home Health Monitoring | arXiv | 2020 | Link |
| FedRec: Federated Learning of Universal Receivers over Fading Channels | arXiv | 2020 | Link |
| FedSL: Federated Split Learning on Distributed Sequential Data in Recurrent Neural Networks | arXiv | 2020 | Link |
| FedSiam: Towards Adaptive Federated Semi-Supervised Learning | arXiv | 2020 | Link |
| FedeRank: User Controlled Feedback with Federated Recommender Systems | arXiv | 2020 | Link |
| FederBoost: Private Federated Learning for GBDT | arXiv | 2020 | Link |
| Federated Block Coordinate Descent Scheme for Learning Global and Personalized Models | arXiv | 2020 | Link |
| Federated Composite Optimization | arXiv | 2020 | Link |
| Federated Crowdsensing: Framework and Challenges | arXiv | 2020 | Link |
| Federated Knowledge Distillation | arXiv | 2020 | Link |
| Federated Learning System without Model Sharing through Integration of Dimensional Reduced Data Representations | arXiv | 2020 | Link |
| Federated Learning for Personalized Humor Recognition | arXiv | 2020 | Link |
| Federated Learning in Unreliable and Resource-Constrained Cellular Wireless Networks | arXiv | 2020 | Link |
| Federated Learning under Importance Sampling | arXiv | 2020 | Link |
| Federated Learning via Intelligent Reflecting Surface | arXiv | 2020 | Link |
| Federated Learning with Heterogeneous Labels and Models for Mobile Activity Monitoring | arXiv | 2020 | Link |
| Federated Marginal Personalization for ASR Rescoring | arXiv | 2020 | Link |
| Federated Mimic Learning for Privacy Preserving Intrusion Detection | arXiv | 2020 | Link |
| Federated Multi-Agent Actor-Critic Learning for Age Sensitive Mobile Edge Computing | arXiv | 2020 | Link |
| Federated Multi-Mini-Batch: An Efficient Training Approach to Federated Learning in Non-IID Environments | arXiv | 2020 | Link |
| Federated Nonconvex Sparse Learning | arXiv | 2020 | Link |
| Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, Japan | arXiv | 2020 | Link |
| Federated Unlearning | arXiv | 2020 | Link |
| Federated learning with class imbalance reduction | arXiv | 2020 | Link |
| From Semantic Communication to Semantic-aware Networking: Model, Architecture, and Open Problems | arXiv | 2020 | Link |
| GDPR-inspired IoT Ontology enabling Semantic Interoperability, Federation of Deployments and Privacy-Preserving Applications | arXiv | 2020 | Link |
| GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs | arXiv | 2020 | Link |
| Heterogeneous Data-Aware Federated Learning | arXiv | 2020 | Link |
| Hospital Capacity Planning Using Discrete Event Simulation Under Special Consideration of the COVID-19 Pandemic | arXiv | 2020 | Link |
| How the Availability of Higher Education Affects Incentives? Evidence from Federal University Openings in Brazil | arXiv | 2020 | Link |
| Hybrid Federated Learning: Algorithms and Implementation | arXiv | 2020 | Link |
| Hybrid Federated and Centralized Learning | arXiv | 2020 | Link |
| Improving Federated Relational Data Modeling via Basis Alignment and Weight Penalty | arXiv | 2020 | Link |
| Inexact-ADMM Based Federated Meta-Learning for Fast and Continual Edge Learning | arXiv | 2020 | Link |
| International Workshop on Next Generation Gamma-Ray Source | arXiv | 2020 | Link |
| Interpretable collaborative data analysis on distributed data | arXiv | 2020 | Link |
| LINDT: Tackling Negative Federated Learning with Local Adaptation | arXiv | 2020 | Link |
| Learning from History for Byzantine Robust Optimization | arXiv | 2020 | Link |
| LocKedge: Low-Complexity Cyberattack Detection in IoT Edge Computing | arXiv | 2020 | Link |
| Local SGD: Unified Theory and New Efficient Methods | arXiv | 2020 | Link |
| Low-latency Federated Learning and Blockchain for Edge Association in Digital Twin empowered 6G Networks | arXiv | 2020 | Link |
| MYSTIKO : : Cloud-Mediated, Private, Federated Gradient Descent | arXiv | 2020 | Link |
| MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning | arXiv | 2020 | Link |
| Mining Influentials and their Bot Activities on Twitter Campaigns | arXiv | 2020 | Link |
| Mitigating Bias in Federated Learning | arXiv | 2020 | Link |
| Mitigating Leakage in Federated Learning with Trusted Hardware | arXiv | 2020 | Link |
| More Industry-friendly: Federated Learning with High Efficient Design | arXiv | 2020 | Link |
| Nonparametric fusion learning: synthesize inferences from diverse sources using depth confidence distribution | arXiv | 2020 | Link |
| One-Shot Federated Learning with Neuromorphic Processors | arXiv | 2020 | Link |
| Optimized Power Control for Over-the-Air Federated Edge Learning | arXiv | 2020 | Link |
| PFL-MoE: Personalized Federated Learning Based on Mixture of Experts | arXiv | 2020 | Link |
| Personalized Federated Learning with First Order Model Optimization | arXiv | 2020 | Link |
| Poisoning Semi-supervised Federated Learning via Unlabeled Data: Attacks and Defenses | arXiv | 2020 | Link |
| Privacy Amplification by Decentralization | arXiv | 2020 | Link |
| Privacy Preserving Demand Forecasting to Encourage Consumer Acceptance of Smart Energy Meters | arXiv | 2020 | Link |
| Privacy-Preserving Federated Learning for UAV-Enabled Networks: Learning-Based Joint Scheduling and Resource Management | arXiv | 2020 | Link |
| Private Wireless Federated Learning with Anonymous Over-the-Air Computation | arXiv | 2020 | Link |
| Probabilistic Federated Learning of Neural Networks Incorporated with Global Posterior Information | arXiv | 2020 | Link |
| Reconfigurable Intelligent Surface Enabled Federated Learning: A Unified Communication-Learning Design Approach | arXiv | 2020 | Link |
| Resource-Constrained Federated Learning with Heterogeneous Labels and Models | arXiv | 2020 | Link |
| Robust Federated Learning with Noisy Labels | arXiv | 2020 | Link |
| Second-Order Guarantees in Federated Learning | arXiv | 2020 | Link |
| Seeking Consensus on Subspaces in Federated Principal Component Analysis | arXiv | 2020 | Link |
| Semi-supervised Federated Learning for Activity Recognition | arXiv | 2020 | Link |
| SoK: Training Machine Learning Models over Multiple Sources with Privacy Preservation | arXiv | 2020 | Link |
| Social Distancing and the Internet: What Can Network Performance Measurements Tell Us? | arXiv | 2020 | Link |
| Stochastic Client Selection for Federated Learning with Volatile Clients | arXiv | 2020 | Link |
| Straggler-Resilient Federated Learning: Leveraging the Interplay Between Statistical Accuracy and System Heterogeneity | arXiv | 2020 | Link |
| The FLOod Probability Interpolation Tool (FLOPIT): Improving Spatial Flood Probability Quantification and Communication Through Higher Resolution Mapping | arXiv | 2020 | Link |
| Timely Communication in Federated Learning | arXiv | 2020 | Link |
| To Talk or to Work: Flexible Communication Compression for Energy Efficient Federated Learning over Heterogeneous Mobile Edge Devices | arXiv | 2020 | Link |
| TornadoAggregate: Accurate and Scalable Federated Learning via the Ring-Based Architecture | arXiv | 2020 | Link |
| Toward Multiple Federated Learning Services Resource Sharing in Mobile Edge Networks | arXiv | 2020 | Link |
| Toward Understanding the Influence of Individual Clients in Federated Learning | arXiv | 2020 | Link |
| Towards Communication-efficient and Attack-Resistant Federated Edge Learning for Industrial Internet of Things | arXiv | 2020 | Link |
| Towards a Formal Framework for Partial Compliance of Business Processes | arXiv | 2020 | Link |
| Towards open and expandable cognitive AI architectures for large-scale multi-agent human-robot collaborative learning | arXiv | 2020 | Link |
| Turn Signal Prediction: A Federated Learning Case Study | arXiv | 2020 | Link |
| Vehicular Cooperative Perception Through Action Branching and Federated Reinforcement Learning | arXiv | 2020 | Link |
| Wyner-Ziv Estimators for Distributed Mean Estimation with Side Information and Optimization | arXiv | 2020 | Link |