Large Stepsizes Federated Learning on Logistic Regression with Linearly Separable Data: The Case of Heterogeneous Devices

Hok Fong Wong, Hoi-To Wai, Chung-Yiu Yau

This paper revisits the distributed learning problem for training a multinomial logistic regression model with the Federated Averaging ($\text{FedAvg}$) algorithm. We concentrate…