FedEC-Dia: Explanation-Calibrated Federated Learning for Patient-Level Diabetes Digital Twin Risk Prediction Under Non-IID Healthcare Data.
Patient-level digital twins for diabetes oriented smart healthcare require risk models that can learn from distributed clinical data while remaining reliable across heterogeneous environments. Federated learning enables collaborative training without centralizing raw patient records, but non-independent and identically...