CORK: a privacy-preserving and lossless federated learning scheme for deep neural network

DOI10.1016/J.INS.2022.04.052OpenAlexW4225264920WikidataQ114951085 ScholiaQ114951085MaRDI QIDQ6191620

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Publication date: 7 March 2024

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2022.04.052

zbMATH Keywords

privacy-preservingdeep neural networkfederated learningsecure aggregationmodel perturbation

Mathematics Subject Classification ID

Biology and other natural sciences (92-XX) Computer science (68-XX)

Cites Work

• Differential Privacy: A Survey of Results
• Public-Key Cryptosystems Based on Composite Degree Residuosity Classes
• Privacy-Preserving Stream Aggregation with Fault Tolerance

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