Preprint Open access
Aegis: Generative Gradient Masking for Privacy-Preserving Medical Federated Learning
Federated learning (FL) has become a foundational paradigm for multi-institutional medical AI, allowing hospitals and research centers to jointly train diagnostic models without exchanging patient records. This privacy promise, however, is increasingly contested: a malicious or honest-but-curious server can launch mode …