Federated learning improves site performance in multicenter deep learning without data sharing
ConclusionFederated learning is an effective methodology that merits further study to enable accelerated development of models across institutions, enabling greater generalizability in clinical use.
Source: Journal of the American Medical Informatics Association - Category: Information Technology Source Type: research
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