most citedStoCFL: A Stochastically Clustered Federated Learning Framework for Non-IID Data with Dynamic Client Participation

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2023★ 2 cited

StoCFL: A Stochastically Clustered Federated Learning Framework for Non-IID Data with Dynamic Client Participation

Dun Zeng, Xiangjing Hu, Shiyu Liu +3

Federated learning is a distributed learning framework that takes full advantage of private data samples kept on edge devices. In real-world federated learning systems, these data…