Naoya Yoshida

MAB-based Client Selection for Federated Learning with Uncertain Resources in Mobile Networks

2020 · arXiv (Cornell University)

This paper proposes a client selection method for federated learning (FL) when the computation and communication resource of clients cannot be estimated; the method trains a machine learning (ML) model using the rich data and …