As illustrated in Fig. 1, 39 papers were included in the review, which examined the governance of one or more...
federated
Blockchain-based Federated Learning (BCFL) offers a promising solution for decentralized, privacy-preserving machine learning across multiple institutions, especially in sensitive domains...
Identifying covariate shifts in clinical dataML-based data harmonizationDifferent hospitals may adopt distinct administration practices, leading to variations in naming the...
The experimental framework outlines a comprehensive approach for privacy-preserving medical image classification using federated learning. This framework integrates advanced deep...
Healthcare delivery and monitoring is presently going through a major change as a result of the sharp increase of connected health...
n this experiment, we first evaluated the performance of various differential privacy (DP) mechanisms. Next, we compared the results of...
