PriVeriFL: Privacy-Preserving and Aggregation-Verifiable Federated Learning

Lulu Wang; Mirko Polato; Alessandro Brighente; Mauro Conti; Lei Zhang; Lin Xu

doi:10.1109/tsc.2024.3451183

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JOURNAL ARTICLE

PriVeriFL: Privacy-Preserving and Aggregation-Verifiable Federated Learning

Lulu Wang Mirko Polato Alessandro Brighente Mauro Conti Lei Zhang Lin Xu

Year: 2024 Journal: IEEE Transactions on Services Computing Vol: 18 (2)Pages: 998-1011 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/tsc.2024.3451183

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Keywords:

Verifiable secret sharing Computer science Computer security Information privacy Computer network Internet privacy

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Privacy-Preserving Technologies in Data

Physical Sciences → Computer Science → Artificial Intelligence

PriVeriFL: Privacy-Preserving and Aggregation-Verifiable Federated Learning

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