An analog Q-learning Algorithm for Secure Multiparty Computation Model

Abstract

Many studies have been done with security of cloud computing. Secure Multiparty Computation (SMC) is one of these methods. In previous papers, some learning methods with SMC have been proposed such as Back Propagation, k-means and digital Q-learning, but analog Q-learning for SMC has not been proposed yet. In this paper, we propose an analog Q-learning method for SMC and show the effectiveness by the simulation.