12 citations · 45 across the 8 of their papers we have counts for
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cs.LG2023★ 5 cited
Entropy-driven Fair and Effective Federated Learning
Lin Wang, Zhichao Wang, Ye Shi +2
Federated Learning (FL) enables collaborative model training across distributed devices while preserving data privacy. Nonetheless, the heterogeneity of edge devices often leads to…
cs.LG2022★ 8 cited
DELTA: Diverse Client Sampling for Fasting Federated Learning
Lin Wang, YongXin Guo, Tao Lin +1
Partial client participation has been widely adopted in Federated Learning (FL) to reduce the communication burden efficiently. However, an inadequate client sampling scheme can le…