Health data is often locked inside hospitals and health systems, making it difficult to build powerful AI models. Federated learning solves this problem by training models across multiple institutions without moving patient data. This episode explains how federated learning works, why it matters for public health, and the challenges of training AI across distributed healthcare systems.

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