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Technology

Federated Learning for Privacy-Preserving Medical Diagnosis

Quick fact

In federated learning, hospitals share model 'weights'—not data—so patient privacy is preserved, yet the collective model can be more accurate than any single hospital's model.

Why this is interesting

Imagine a dozen hospitals training a world-class AI diagnostic tool without ever sharing a single patient record. Federated learning makes this possible—how?