Client Selection for Generalization in Accelerated Federated Learning: A Multi-Armed Bandit Approach

Dan Ben Ami, Kobi Cohen, Qing Zhao

Federated learning (FL) is an emerging machine learning (ML) paradigm used to train models across multiple nodes (i.e., clients) holding local data sets, without explicitly exchang…