Federated Learning

Generating Synthetic Data for Unsupervised Federated Learning of Cross-Modal Retrieval AAAI 2025 How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? AAAI 2025 LiD-FL: Towards List-Decodable Federated Learning AAAI 2025 Mjölnir: Breaking the Shield of Perturbation-Protected Gradients via Adaptive Diffusion AAAI 2025 Modeling Inter-Intra Heterogeneity for Graph Federated Learning AAAI 2025 Model Poisoning Attacks to Federated Learning via Multi-Round Consistency CVPR 2025 MultiSFL: Towards Accurate Split Federated Learning via Multi-Model Aggregation and Knowledge Replay AAAI 2025 One-shot Federated Learning Methods: A Practical Guide IJCAI 2025 On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond AISTATS 2025 On the Robustness of Distributed Machine Learning Against Transfer Attacks AAAI 2025 Optimising Clinical Federated Learning through Mode Connectivity-based Model Aggregation AISTATS 2025 Optimizing Cross-Client Domain Coverage for Federated Instruction Tuning of Large Language Models EMNLP 2025 PA3Fed: Period-Aware Adaptive Aggregation for Improved Federated Learning AAAI 2025 Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach AAAI 2025 Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning AISTATS 2025 pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning AAAI 2025 Population Normalization for Federated Learning CVPR 2025 Refined Analysis of Constant Step Size Federated Averaging and Federated Richardson-Romberg Extrapolation AISTATS 2025 Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks AAAI 2025 SADBA: Self-Adaptive Distributed Backdoor Attack Against Federated Learning AAAI 2025 Scalable Federated One-Step Multi-View Clustering with Tensorized Regularization AAAI 2025 Tackling Intertwined Data and Device Heterogeneities in Federated Learning with Unlimited Staleness AAAI 2025 Towards Privacy-Preserving Split Learning for ControlNet WACV 2025 TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learning AAAI 2025 TTA-FedDG: Leveraging Test-Time Adaptation to Address Federated Domain Generalization AAAI 2025