Google Research announces TEE-based federated learning system with verifiable privacy guarantees
Google Research announced a next-generation Federated Learning system using Trusted Execution Environments to provide externally verifiable, auditable data anonymization guarantees. The system shifts computation to the server, improving training speed, accuracy, and device coverage. It builds on differential privacy work like MF-DP-FTRL and Secure Aggregation. Gboard has already adopted the system, according to the announcement.
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“We announce a new Federated Learning system that provides externally verifiable privacy guarantees while shifting computation to the server to improve training speed, accuracy, and device coverage.”
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