Google moves federated learning into TEEs to give Gboard training externally verifiable differential privacy

What changed

Google Research announced on October 2 a new federated-learning system that moves more training computation to server-side trusted execution environments while preserving privacy constraints on user data. The system provides externally verifiable guarantees for central differential privacy and is used in Gboard-related training, while Google says the architecture can also improve training speed, accuracy and device coverage.