Federated learning process central case.

“Federated learning is a novel paradigm for data-private multi-institutional collaborations, where model-learning leverages all available data without sharing data between institutions, by distributing the model-training to the data-owners and aggregating their results.  In this instance, ten institutions shared their imaging scans and information without revealing patient identity. MORE

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