Logistic regression model training based on the approximate homomorphic encryption

• Egile Nagusiak: Andrey Kim (Egilea), Yongsoo Song (Egilea), Miran Kim (Egilea), Keewoo Lee (Egilea), Jung Hee Cheon (Egilea)
• Formatua: Liburua
• Argitaratua: BMC, 2018-10-01T00:00:00Z.
• Gaiak: article
• Sarrera elektronikoa: Connect to this object online.

Abstract 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 consid...