Xiang Su

FedTSA: A Cluster-based Two-Stage Aggregation Method for Model-heterogeneous Federated Learning

"Despite extensive research into data heterogeneity in federated learning (FL), system heterogeneity remains a significant yet often overlooked challenge. Traditional FL approaches typically assume homogeneous hardware resources across FL clients, implying that clients can train a global model withi…