Imlimaong Aier

STPFL: Stable teacher-guided personalized federated learning for heterogeneous multi-institution medical imaging

STPFL builds an EMA-based aggregated teacher to accumulate historical global knowledge and provide consistent guidance and improves global accuracy and F1-score, while personalized models improve by 4–25% and 4–32%, respectively.