Definition
Federated learning trains a shared model across distributed participants while keeping raw training data at their locations.
Distinguish it from nearby terms
It reduces raw-data centralization but does not automatically prevent information leakage from updates or solve participant trust.
Check your understanding
Trace what leaves each participant, who aggregates it, and which privacy or security controls protect updates.