Baoquan Wang

FedSe: Group-Based Sequential Training Strategies for Mitigating Label Skew in Federated Learning

Federated Learning (FL) has emerged as a promising approach for distributed machine learning, enabling clients to collaboratively train models without sharing their data. However, existing FL methods continue to face challenges when dealing with non-IID data, particularly under conditions of extreme…