statistical heterogeneity

FedCM: Client Clustering and Migration in Federated Learning via Gradient Path Similarity and Update Direction Deviation IJCAI 2025 Federated Rényi Fair Inference in Federated Heterogeneous System UAI 2025 Harnessing Heterogeneous Statistical Strength for Personalized Federated Learning via Hierarchical Bayesian Inference ICML 2025 PA3Fed: Period-Aware Adaptive Aggregation for Improved Federated Learning AAAI 2025 Accelerating Heterogeneous Federated Learning with Closed-form Classifiers ICML 2024 A Kernel Perspective on Distillation-based Collaborative Learning NeurIPS 2024 Balancing Similarity and Complementarity for Federated Learning ICML 2024 FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-Aware Model Update AAAI 2024 Federated Learning over Connected Modes NeurIPS 2024 FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation NeurIPS 2024 Heterogeneity-Guided Client Sampling: Towards Fast and Efficient Non-IID Federated Learning NeurIPS 2024 A Statistical Framework for Personalized Federated Learning and Estimation: Theory, Algorithms, and Privacy ICLR 2023 Data-Free One-Shot Federated Learning Under Very High Statistical Heterogeneity ICLR 2023 FedALA: Adaptive Local Aggregation for Personalized Federated Learning AAAI 2023 Minimax Estimation for Personalized Federated Learning: An Alternative between FedAvg and Local Training? JMLR 2023 Neural Tangent Kernel Empowered Federated Learning ICML 2022 pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning NeurIPS 2022 Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning IJCAI 2021 Heterogeneity for the Win: One-Shot Federated Clustering ICML 2021