data heterogeneity

Personalized Federated Learning with Inferred Collaboration Graphs ICML 2023 Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources ICML 2023 Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data AISTATS 2023 Revisiting Weighted Aggregation in Federated Learning with Neural Networks ICML 2023 Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity NeurIPS 2023 Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning ICLR 2023 Spectral Co-Distillation for Personalized Federated Learning NeurIPS 2023 Tackling Data Heterogeneity in Federated Learning with Class Prototypes AAAI 2023 The Aggregation–Heterogeneity Trade-off in Federated Learning COLT 2023 Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning ICLR 2023 Turning the Curse of Heterogeneity in Federated Learning into a Blessing for Out-of-Distribution Detection ICLR 2023 When Do Curricula Work in Federated Learning? ICCV 2023 Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning ICLR 2023 An Agnostic Approach to Federated Learning with Class Imbalance ICLR 2022 Asynchronous Personalized Federated Learning with Irregular Clients ACML 2022 DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training ICML 2022 FedBABU: Toward Enhanced Representation for Federated Image Classification ICLR 2022 FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning CVPR 2022 Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features IJCAI 2022 Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning CVPR 2022 Mean Estimation with User-level Privacy under Data Heterogeneity NeurIPS 2022 Multi-Level Branched Regularization for Federated Learning ICML 2022 Preservation of the Global Knowledge by Not-True Distillation in Federated Learning NeurIPS 2022 Pretrained Models for Multilingual Federated Learning NAACL 2022 Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning CVPR 2022