Google makes federated learning privacy externally verifiable
Google’s new Trusted Execution Environment based federated learning system lets third parties verify how training data is anonymized, while moving computation to servers to improve speed, accuracy, and device coverage. The protected code can be remotely checked, while its internal state stays confidential and its operation stays intact, subject to current TEE limits. Gboard already uses the system and reports substantially faster computation than its previous setup.