Federated Learning Enables Privacy-Preserving Sepsis Prediction Across Chinese Hospitals
A new study shows federated learning achieves sepsis prediction accuracy comparable to centralized models using data from three Chinese tertiary hospitals, without sharing raw patient data or enabling reconstruction attacks, offering a privacy-preserving framework for multi-center medical AI collaboration. Read more