Logistic regression model training based on the approximate homomorphic encryption

@inproceedings{Kim2018LogisticRM,
  title={Logistic regression model training based on the approximate homomorphic encryption},
  author={Andrey Kim and Yongsoo Song and Miran Kim and Keewoo Lee and Jung Hee Cheon},
  booktitle={BMC Medical Genomics},
  year={2018}
}
BackgroundSecurity concerns have been raised since big data became a prominent tool in data analysis. For instance, many machine learning algorithms aim to generate prediction models using training data which contain sensitive information about individuals. Cryptography community is considering secure computation as a solution for privacy protection. In particular, practical requirements have triggered research on the efficiency of cryptographic primitives.MethodsThis paper presents a method to… CONTINUE READING

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