2021
DOI: 10.36227/techrxiv.15087774
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Fully Privacy-Preserving Distributed Optimization Based on Secret Sharing

Abstract: With the increasing development of smart grid, multiparty cooperative computation between several entities has become a typical characteristic of modern energy systems. Traditionally, data exchange among parties is inevitable, rendering how to complete multiparty collaborative optimization without exposing any private information a critical issue. This paper proposes a fully privacy-preserving distributed optimization framework based on secure multiparty computation (SMPC) secret sharing protocols. The framewo… Show more

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References 15 publications
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