"Federated Learning and Privacy: Building privacy-preserving systems for ..."

Kallista A. Bonawitz et al. (2021)

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DOI: 10.1145/3494834.3500240

access: closed

type: Journal Article

metadata version: 2023-08-28

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Kallista A. Bonawitz, Peter Kairouz, Brendan McMahan, Daniel Ramage:
Federated Learning and Privacy: Building privacy-preserving systems for machine learning and data science on decentralized data. ACM Queue 19(5): 87-114 (2021)

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