Iman Yi Liao

Towards Stable Federated Continual Test-Time Adaptation in Wild World

Federated Learning (FL) enables collaborative model training while preserving privacy, but faces challenges with client data heterogeneity and domain shifts during deployment. Although Personalized Federated Learning (PFL) mitigates heterogeneity, it typically requires labelled data from target clie