federated learning

PFedEdit: Personalized Federated Learning via Automated Model Editing ECCV 2024 PICSR: Prototype-Informed Cross-Silo Router for Federated Learning (Student Abstract) AAAI 2024 Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images AAAI 2024 PPIDSG: A Privacy-Preserving Image Distribution Sharing Scheme with GAN in Federated Learning AAAI 2024 Practical Hybrid Gradient Compression for Federated Learning Systems IJCAI 2024 Private and Federated Stochastic Convex Optimization: Efficient Strategies for Centralized Systems ICML 2024 Private and Personalized Frequency Estimation in a Federated Setting NeurIPS 2024 Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data NeurIPS 2024 Promoting Data and Model Privacy in Federated Learning through Quantized LoRA EMNLP 2024 Provable Mutual Benefits from Federated Learning in Privacy-Sensitive Domains AISTATS 2024 Provably Convergent Federated Trilevel Learning AAAI 2024 Queuing dynamics of asynchronous Federated Learning AISTATS 2024 Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning NeurIPS 2024 Ranking-based Client Imitation Selection for Efficient Federated Learning ICML 2024 Recovering Labels from Local Updates in Federated Learning ICML 2024 Recurrent Early Exits for Federated Learning with Heterogeneous Clients ICML 2024 Redefining Contributions: Shapley-Driven Federated Learning IJCAI 2024 Relaxed Contrastive Learning for Federated Learning CVPR 2024 Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective AAAI 2024 Resource-Aware Federated Self-Supervised Learning with Global Class Representations NeurIPS 2024 Rethinking the Flat Minima Searching in Federated Learning ICML 2024 Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data CVPR 2024 Revamping Federated Learning Security from a Defender's Perspective: A Unified Defense with Homomorphic Encrypted Data Space CVPR 2024 Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding COLING 2024 Revisiting Ensembling in One-Shot Federated Learning NeurIPS 2024