Cloud-Based Quadratic Optimization With Partially Homomorphic Encryption
IEEE Transactions on Automatic Control(2021)
摘要
This article develops a cloud-based protocol for a constrained quadratic optimization problem involving multiple parties, each holding private data. The protocol is based on the projected gradient ascent on the Lagrange dual problem and exploits partially homomorphic encryption and secure communication techniques. Using formal cryptographic definitions of indistinguishability, the protocol is show...
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关键词
Encryption,Protocols,Optimization,Cloud computing,Privacy,Sensors
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