Privacy-preserving Federated Learning and Uncertainty Quantification in Medical Imaging

This review article provides an in-depth analysis of the latest advancements in federated learning, privacy preservation, and uncertainty quantification in medical imaging. It also highlights current challenges and explores potential opportunities for improvement in these areas.