The improved BP learning algorithm with divided data

Abstract

Many studies for privacy preserving data mining have been done. Secure Multiparty Computation (SMC) has been introduced for privacy preserving data. SMC was applied to some statistical computation methods. In previous papers, we proposed synchronous Back Propagation (BP) learning for SMC. In this paper, we propose the improved BP learning method with small number of parameters, even if the number of data and weight divisions is large.