Kwang In Kim*

Distributed Active Client Selection With Noisy Clients Using Model Association Scores

"Active client selection (ACS) strategically identifies clients for model updates during each training round of federated learning. In scenarios with limited communication resources, ACS emerges as a superior alternative to random client selection, significantly improving the convergence rate. Howev…