Federated Learning
Privacy & Security
Training across decentralized devices without centralizing data
What is Federated Learning?
Each device computes local updates sent as gradients or model deltas to a central server which aggregates them, preserving privacy.
Real-World Examples
- •Keyboard suggestion models trained on-device
Related Terms
Learn more about concepts related to Federated Learning