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AI & Machine Learning · Intermediate

Federated Learning

Training a shared model across decentralized devices or sites without moving raw data to a central server.

Definition

Each participant trains locally and shares only model updates, which are aggregated centrally. It supports privacy and data residency, often combined with secure aggregation and differential privacy.

Exam tip

Federated learning moves the model to the data instead of moving data to the model.

Related terms