conftrace_

client sampling

17 papers

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Co-occurring keywords

federated learning (1333) variance reduction (523) convergence analysis (395) non-iid datum (109) data heterogeneity (115) convergence rate (607) communication compression (55) client selection (23) bilevel optimization (194) communication efficiency (297)

Papers

Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback JMLR 2025
Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing ICCV 2025
Byzantine Robustness and Partial Participation Can Be Achieved at Once: Just Clip Gradient Differences NIPS 2024
Heterogeneity-Guided Client Sampling: Towards Fast and Efficient Non-IID Federated Learning NIPS 2024
FLHetBench: Benchmarking Device and State Heterogeneity in Federated Learning CVPR 2024
FedSampling: A Better Sampling Strategy for Federated Learning IJCAI 2023
Beyond ADMM: A Unified Client-Variance-Reduced Adaptive Federated Learning Framework AAAI 2023
DELTA: Diverse Client Sampling for Fasting Federated Learning NIPS 2023
On the Convergence of Federated Averaging with Cyclic Client Participation ICML 2023
Achieving Linear Speedup in Non-IID Federated Bilevel Learning ICML 2023
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction ICML 2023
Can 5th Generation Local Training Methods Support Client Sampling? Yes! AISTATS 2023
SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning NIPS 2023
QSFL: A Two-Level Uplink Communication Optimization Framework for Federated Learning ICML 2022
SAGDA: Achieving $\mathcal{O}(\epsilon^{-2})$ Communication Complexity in Federated Min-Max Learning NIPS 2022
Federated Multi-Armed Bandits AAAI 2021
On Large-Cohort Training for Federated Learning NIPS 2021