A way to train one model by sharing updates, not local data.
Federated learning is a group project with locked backpacks. Everyone shares what they learned, not the private homework.
You meet it in phone keyboards. It also helps hospitals and banks train together without pooling raw data.
Data-privacy
Federated learning lowers privacy pressure by keeping data local.
Pretraining
Federated learning can train models without pooling raw data.
On-premise AI
Federated learning is useful when data must stay on local machines.