activity
20162024
most citedClient Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies

75 citations · 114 across the 10 of their papers we have counts for

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Showing 2021Show all

1 paper · 1 filter

cs.LG2021★ 15 cited

Personalized Federated Learning for Heterogeneous Clients with Clustered Knowledge Transfer

Yae Jee Cho, Jianyu Wang, Tarun Chiruvolu +1

Personalized federated learning (FL) aims to train model(s) that can perform well for individual clients that are highly data and system heterogeneous. Most work in personalized FL…