Jacopo Talpini

FedBEns: One-Shot Federated Learning based on Bayesian Ensemble

One-Shot Federated Learning (FL) is a recent paradigm that enables multiple clients to cooperatively learn a global model in a single round of communication with a central server. In this paper, we analyze the One-Shot FL problem through the lens of Bayesian inference and propose FedBEns, an algorit…