Hongyi Peng

FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler

Federated learning (FL) enables collaborative machine learning across distributed data owners, but data heterogeneity poses a challenge for model calibration. While prior work focused on improving accuracy for non-iid data, calibration remains under-explored. This study reveals existing FL aggregati…