Home / Papers / Federated learning and privacy

Federated learning and privacy

29 Citations2022
Kallista A. Bonawitz, P. Kairouz, H. B. McMahan
Communications of the ACM

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Abstract

Building privacy-preserving systems for machine learning and data science on decentralized data.