What Is Federated Learning in Health Care? And How Should Health IT Teams Prepare?

By
The Rhino Team
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January 2, 2023

Federated learning is a machine learning approach that allows healthcare organizations to collaboratively train AI models without sharing sensitive patient data. By keeping data localized and only exchanging model parameters, federated learning enhances data security and privacy. Health IT teams should prepare by investing in infrastructure that supports decentralized data storage and secure communication protocols. Implementing federated learning can lead to more robust AI models, improved patient outcomes, and compliance with data protection regulations.

For a comprehensive overview, read the full article on insideBIGDATA.

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