most citedPersonalized Federated Learning for Heterogeneous Clients with Clustered Knowledge Transfer

15 citations · 15 across the 1 of their papers we have counts for

collaborators

1 paper

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…