Federated Learning

pFedClub: Controllable Heterogeneous Model Aggregation for Personalized Federated Learning NeurIPS 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 Personalized Frequency Estimation in a Federated Setting NeurIPS 2024 Private Stochastic Convex Optimization with Heavy Tails: Near-Optimality from Simple Reductions NeurIPS 2024 Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data NeurIPS 2024 Provably Convergent Federated Trilevel Learning AAAI 2024 Pure Exploration in Asynchronous Federated Bandits UAI 2024 Redefining Contributions: Shapley-Driven Federated Learning IJCAI 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 Revisiting Ensembling in One-Shot Federated Learning NeurIPS 2024 Robust Distributed Gradient Aggregation Using Projections onto Gradient Manifolds AAAI 2024 Safely Learning with Private Data: A Federated Learning Framework for Large Language Model EMNLP 2024 Scalable Federated Unlearning via Isolated and Coded Sharding IJCAI 2024 SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization AISTATS 2024 Sketching for Distributed Deep Learning: A Sharper Analysis NeurIPS 2024 SpaFL: Communication-Efficient Federated Learning With Sparse Models And Low Computational Overhead NeurIPS 2024 Stakeholder-oriented Decision Support for Auction-based Federated Learning IJCAI 2024 Stochastic Smoothed Gradient Descent Ascent for Federated Minimax Optimization AISTATS 2024 Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains NeurIPS 2024 Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning against Attribute Inference Attacks AAAI 2024 The Sample-Communication Complexity Trade-off in Federated Q-Learning NeurIPS 2024