Logistic regression model training based on the approximate homomorphic encryption

BACKGROUND: 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 se...

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Detalles Bibliográficos
Autores principales: Kim, Andrey, Song, Yongsoo, Kim, Miran, Lee, Keewoo, Cheon, Jung Hee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6180367/
https://www.ncbi.nlm.nih.gov/pubmed/30309349
http://dx.doi.org/10.1186/s12920-018-0401-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6180367/
https://www.ncbi.nlm.nih.gov/pubmed/30309349
http://dx.doi.org/10.1186/s12920-018-0401-7

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