client selection

Client Selection for Federated Policy Optimization with Environment Heterogeneity JMLR 2025 Diffusion-Based Active Learning for Distributed Client Manifolds AAAI 2025 FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning AAAI 2025 Reinforcement Active Client Selection for Federated Heterogeneous Graph Learning AAAI 2025 Adapted Weighted Aggregation in Federated Learning AAAI 2024 FBLG: A Local Graph Based Approach for Handling Dual Skewed Non-IID Data in Federated Learning IJCAI 2024 FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization IJCAI 2024 FedTrans: Client-Transparent Utility Estimation for Robust Federated Learning ICLR 2024 Heterogeneity-Guided Client Sampling: Towards Fast and Efficient Non-IID Federated Learning NeurIPS 2024 On-Demand Federated Learning for Arbitrary Target Class Distributions AISTATS 2024 Ranking-based Client Imitation Selection for Efficient Federated Learning ICML 2024 A Federated Learning Monitoring Tool for Self-Driving Car Simulation (Student Abstract) AAAI 2023 A Survey of Federated Evaluation in Federated Learning IJCAI 2023 Fast Heterogeneous Federated Learning with Hybrid Client Selection UAI 2023 One-Pass Distribution Sketch for Measuring Data Heterogeneity in Federated Learning NeurIPS 2023 Reliable and Interpretable Personalized Federated Learning CVPR 2023 SPACE: Single-round Participant Amalgamation for Contribution Evaluation in Federated Learning NeurIPS 2023 When Do Curricula Work in Federated Learning? ICCV 2023 A Multi-Agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning AAAI 2022 Diverse Client Selection for Federated Learning via Submodular Maximization ICLR 2022 FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning CVPR 2022 QSFL: A Two-Level Uplink Communication Optimization Framework for Federated Learning ICML 2022 Towards Understanding Biased Client Selection in Federated Learning AISTATS 2022 Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning ICML 2021 Game of Gradients: Mitigating Irrelevant Clients in Federated Learning AAAI 2021