Federated M L
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ICSE Companion
CIKM Workshops
CIMS
IEEE Trans. Inf. Technol. Biomed.
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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
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
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
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.
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.
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 |
|---|---|---|---|
| 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
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
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 |
| 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 |
| 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.
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
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 |
| 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 |
| 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 |
| 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 |
|---|---|---|---|
| FedDHE: A dual entropy-driven framework for robust federated learning in heterogeneous environments. | 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 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 |
| 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 |
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 |
|---|---|---|---|
| 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 |
| Federated intent-aware cross-domain recommendation via semantic alignment and collaborative enhancement. | 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 |