Vol. 1 No. 4 (2023): Volume-I, Number-IV, 2023

Abstract  34

Federated Learning (FL) offers a compelling paradigm for training machine learning models across multiple healthcare institutions without centralizing sensitive patient data. By enabling local training and sharing only model updates, FL promises to reconcile clinicians’ need for large, diverse training populations with legal and ethical constraints on data sharing. However, practical deployme ... read more