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A Privacy Preserving Deep Linear Regression Scheme Based on Homomorphic Encryption 被引量:1
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作者 Danping Dong Yue Wu +1 位作者 Lizhi Xiong Zhihua Xia 《Journal on Big Data》 2019年第3期145-150,共6页
This paper proposes a strategy for machine learning in the ciphertext domain.The data to be trained in the linear regression equation is encrypted by SHE homomorphic encryption,and then trained in the ciphertext domai... This paper proposes a strategy for machine learning in the ciphertext domain.The data to be trained in the linear regression equation is encrypted by SHE homomorphic encryption,and then trained in the ciphertext domain.At the same time,it is guaranteed that the error of the training results between the ciphertext domain and the plaintext domain is in a controllable range.After the training,the ciphertext can be decrypted and restored to the original plaintext training data. 展开更多
关键词 Linear regression somewhat homomorphic encryption machine learning
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