Jiazhide Liu

Privacy-Preserving Federated Learning Framework for Cardiovascular Disease Risk Prediction under Non-IID Data

This work designs a privacy-compliant federated learning architecture to realize clinical heart disease risk prediction, and the FedAvg algorithm will be used to enable cross-institutional collaborative training without sharing raw patient data to provide a feasible privacy-preserving solution for cross-hospital clinic...