Privacy-aware quadratic optimization using partially homomorphic encryption
We consider a problem where multiple agents participate in solving a quadratic optimization problem subject to linear inequality constraints in a privacy-preserving manner. Several variables of the objective function as well as the constraints are privacy-sensitive and are known to different agents....
| Main Authors: | , , , , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers
2016
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