conftrace_

client selection

23 papers

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Also known as

CS

Co-occurring keywords

federated learning (1333) data heterogeneity (115) non-iid datum (109) model aggregation (156) convergence analysis (395) clustered sampling (2) shapley value (206) model convergence (39) client sampling (17) variance reduction (523)

Papers

Client Selection for Federated Policy Optimization with Environment Heterogeneity JMLR 2025
Diffusion-Based Active Learning for Distributed Client Manifolds AAAI 2025
Reinforcement Active Client Selection for Federated Heterogeneous Graph Learning AAAI 2025
FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning AAAI 2025
On-Demand Federated Learning for Arbitrary Target Class Distributions AISTATS 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
Heterogeneity-Guided Client Sampling: Towards Fast and Efficient Non-IID Federated Learning NIPS 2024
Adapted Weighted Aggregation in Federated Learning AAAI 2024
One-Pass Distribution Sketch for Measuring Data Heterogeneity in Federated Learning NIPS 2023
When Do Curricula Work in Federated Learning? ICCV 2023
Fast Heterogeneous Federated Learning with Hybrid Client Selection UAI 2023
A Survey of Federated Evaluation in Federated Learning IJCAI 2023
A Federated Learning Monitoring Tool for Self-Driving Car Simulation (Student Abstract) AAAI 2023
Reliable and Interpretable Personalized Federated Learning CVPR 2023
SPACE: Single-round Participant Amalgamation for Contribution Evaluation in Federated Learning NIPS 2023
QSFL: A Two-Level Uplink Communication Optimization Framework for Federated Learning ICML 2022
FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning CVPR 2022
Towards Understanding Biased Client Selection in Federated Learning AISTATS 2022
A Multi-Agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning AAAI 2022
Oort: Efficient Federated Learning via Guided Participant Selection OSDI 2021
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