Machine Learning Method Based on Stream Homomorphic Encryption Computing
2020 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)(2020)
摘要
This study proposes a machine learning method based on stream homomorphic encryption computing for improving security and reducing computational time. A case study of mobile positioning based on k nearest neighbors ( kNN) is selected to evaluate the proposed method. The results showed the proposed method can save computational resources than others.
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关键词
homomorphic encryption,machine learning,$k$ nearest neighbors
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