Robust Federated Learning for Intensive Care Unit Mortality Prediction Across a Heterogeneous Hospital Network
Federated learning (FL) allows clinical institutions to train a shared model without pooling patient records, but itdoes not by itself prevent leakage through exchanged updates; because this study uses neither secure aggregationnor differential privacy, this exposure is discussed as a limitation. FL robustness under co...