Federated Learning: Why Averaging Model Updates Works - and When It Fails
Most machine learning still assumes a convenient fiction: all the data sits in one place, ready to be shuffled, split, and trained on. Real data rarely cooperates. It lives on phones, in hospitals, in banks, and in factories, where moving it is expensive, slow, or simply not allowed. Federated lear…
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- 2026-10-27 05:03 · DEV Community — Machine Learning
Federated Learning: Why Averaging Model Updates Works - and When It Fails