A decentralized personal-data architecture uses secure enclaves and federated learning so service providers can compute on user data without accessing it.
In: Proceedings of ACM Conference on Data and Application Security and Privacy (CODASPY) (2022)
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A User-Centric, Privacy-Preserving, and Verifiable Ecosystem for Personal Data Management and Utilization
A decentralized personal-data architecture uses secure enclaves and federated learning so service providers can compute on user data without accessing it.