Federated Learning

Federated Learning with Label Distribution Skew via Logits Calibration ICML 2022 Federated Learning with Partial Model Personalization ICML 2022 Federated Learning With Position-Aware Neurons CVPR 2022 Federated Learning with Positive and Unlabeled Data ICML 2022 Federated Minimax Optimization: Improved Convergence Analyses and Algorithms ICML 2022 Federated Model Decomposition with Private Vocabulary for Text Classification EMNLP 2022 Federated Multi-Target Domain Adaptation WACV 2022 Federated Nearest Neighbor Classification with a Colony of Fruit-Flies AAAI 2022 Federated online clustering of bandits UAI 2022 Federated Reinforcement Learning: Linear Speedup Under Markovian Sampling ICML 2022 Federated Reinforcement Learning with Environment Heterogeneity AISTATS 2022 Federated Self-supervised Speech Representations: Are We There Yet? Interspeech 2022 Federated Submodel Optimization for Hot and Cold Data Features NeurIPS 2022 FedInv: Byzantine-Robust Federated Learning by Inversing Local Model Updates AAAI 2022 FedNest: Federated Bilevel, Minimax, and Compositional Optimization ICML 2022 FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning ICML 2022 FedNL: Making Newton-Type Methods Applicable to Federated Learning ICML 2022 FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks NAACL 2022 FedPara: Low-rank Hadamard Product for Communication-Efficient Federated Learning ICLR 2022 FedPop: A Bayesian Approach for Personalised Federated Learning NeurIPS 2022 FedProto: Federated Prototype Learning across Heterogeneous Clients AAAI 2022 FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction NeurIPS 2022 FedSoft: Soft Clustered Federated Learning with Proximal Local Updating AAAI 2022 FedSR: A Simple and Effective Domain Generalization Method for Federated Learning NeurIPS 2022 Fedvarp: Tackling the variance due to partial client participation in federated learning UAI 2022