federated learning

Unlearning through Knowledge Overwriting: Reversible Federated Unlearning via Selective Sparse Adapter CVPR 2025 Unlocking the Potential of Model Calibration in Federated Learning ICLR 2025 Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning AAAI 2025 Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning ICML 2025 WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling AAAI 2025 When Cars Meet Drones: Hyperbolic Federated Learning for Source-Free Domain Adaptation in Adverse Weather WACV 2025 Where Does This Data Come From? Enhanced Source Inference Attacks in Federated Learning IJCAI 2025 X-FLoRA: Cross-modal Federated Learning with Modality-expert LoRA for Medical VQA EMNLP 2025 You Are Your Own Best Teacher: Achieving Centralized-level Performance in Federated Learning under Heterogeneous and Long-tailed Data ICCV 2025 You Get What You Give: Reciprocally Fair Federated Learning ICML 2025 pfl-research: simulation framework for accelerating research in Private Federated Learning NeurIPS 2024 A Bayesian Approach for Personalized Federated Learning in Heterogeneous Settings NeurIPS 2024 Accelerated Gradient Tracking over Time-varying Graphs for Decentralized Optimization JMLR 2024 Accelerating Federated Learning with Quick Distributed Mean Estimation ICML 2024 Accurate Forgetting for Heterogeneous Federated Continual Learning ICLR 2024 Achieving Lossless Gradient Sparsification via Mapping to Alternative Space in Federated Learning ICML 2024 A Cluster-based Personalized Federated Learning Strategy for End-to-End ASR of Dementia Patients Interspeech 2024 A Comparative Analysis of Federated Learning for Speech-Based Cognitive Decline Detection Interspeech 2024 Adapted Weighted Aggregation in Federated Learning AAAI 2024 Adaptive Compression in Federated Learning via Side Information AISTATS 2024 Adaptive Federated Learning with Auto-Tuned Clients ICLR 2024 Adaptive Federated Minimax Optimization with Lower Complexities AISTATS 2024 Adaptive Group Personalization for Federated Mutual Transfer Learning ICML 2024 Adaptive Hyper-graph Aggregation for Modality-Agnostic Federated Learning CVPR 2024 A Doubly Recursive Stochastic Compositional Gradient Descent Method for Federated Multi-Level Compositional Optimization ICML 2024