Privacy-Preserving AI in Medical Imaging: Federated Learning, Differential Privacy, and Encrypted Computation
In medical imaging, necessary privacy concerns limit us from fully maximizing the benefits of AI in our research. These modern privacy techniques could allow us to train our models on encrypted data from multiple institutions, hospitals, and clinics without sharing the patient data.
