
The Stack
AI 101 — What is federated learning?
Federated learning is a way to train one shared AI model across thousands of devices or organisations without ever collecting their data in one place — each participant trains a copy on data it already holds, and only a summary of what that training learned travels back. The name comes from the word "federation": a group of independent members cooperating under one agreed protocol while each keeps its own affairs. The data stays where it lives. The learning moves. Why it matters right now Tw










