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论文类型：会议论文

发表时间：2015-08-24

收录刊物：EI、CPCI-S、SCIE、Scopus

页面范围：1791-1795

关键字：Back-propagation; big data learning; cloud computing; the BGV encryption scheme

摘要：Back-propagation is the most effective algorithm for training deep learning models that are proved to have a great ability for big data feature learning. However, back-propagation is of high time complexity, leading to a low efficiency of big data learning. Aiming at this problem, the paper proposes a privacy preserving back-propagation algorithm based on the BGV encryption scheme on cloud. The proposed algorithm improved the efficiency of back-propagation learning by offloading the expensive operations on the cloud. Furthermore, the BGV encryption scheme is used to protect the private data during the learning process using the power of the cloud computing. Experiments show that our proposed scheme is secure and efficient.