Secure Cloud Computing Algorithms for Discrete Constrained Potential Games

Lu, Yang and Zhu, Minghui (2015) Secure Cloud Computing Algorithms for Discrete Constrained Potential Games. In: IFAC Workshop on Distributed Estimation and Control in Networked Systems. Elsevier, USA, pp. 180-185.

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Abstract

In this paper, we study secure cloud computing problem for a class of discrete constrained potential games. In the games, certain functions are confidential for the system operator and not disclosed to any other participant. Meanwhile, each agent is unwilling to disclose its private functions and states to any other participant. By utilizing reinforcement learning and homomorphic encryption, we propose a distributed algorithm where (i) both the confidentiality for the system operator and the privacy for the agents are protected; (ii) the convergence to Nash equilibria is formally ensured.

Item Type:
Contribution in Book/Report/Proceedings
Subjects:
ID Code:
172577
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Deposited On:
10 Aug 2022 09:15
Refereed?:
Yes
Published?:
Published
Last Modified:
30 Aug 2022 23:40