FedSTaS: Client Stratification and Client Level Sampling for Efficient Federated Learning

Jordan Slessor, Dezheng Kong, Xiaofen Tang +2

Federated learning (FL) is a machine learning methodology that involves the collaborative training of a global model across multiple decentralized clients in a privacy-preserving w…