Logistic regression model training based on the approximate homomorphic encryption
Logistic regression model training based on the approximate homomorphic encryption
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Publisher
England: BioMed Central Ltd
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Language
English
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England: BioMed Central Ltd
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Contents
Security 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 part...
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Full title
Logistic regression model training based on the approximate homomorphic encryption
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TN_cdi_doaj_primary_oai_doaj_org_article_c15804fafe114ba0a38f959820a2c3e9
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c15804fafe114ba0a38f959820a2c3e9
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ISSN
1755-8794
E-ISSN
1755-8794
DOI
10.1186/s12920-018-0401-7
