"Efficient Differentially Private Secure Aggregation for Federated Learning ..."

Timothy Stevens et al. (2022)

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DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2024-11-22

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  - electronic edition @ usenix.org (open access)
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Timothy Stevens, Christian Skalka, Christelle Vincent, John H. Ring, Samuel Clark, Joseph P. Near:
Efficient Differentially Private Secure Aggregation for Federated Learning via Hardness of Learning with Errors. USENIX Security Symposium 2022: 1379-1395

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