Kenta Kubota

Gradient-Oriented Clustered Federated Learning With Efficient Knowledge Sharing in Non-IID Settings

We present a novel Clustered Federated Learning (CFL) approach that efficiently shares knowledge among clusters to address non-Independent and Identically Distributed (non-IID) settings. Although conventional CFL has demonstrated strong performance in non-IID settings, a fundamental challenge, the l…