Work

Privacy-preservation for Stochastic Gradient Descent Application to Secure Logistic Regression

Year: 2013

Type: article

Source: 人工知能学会全国大会論文集

Authors: Shuang Wu, Tadanori Teruya, Junpei Kawamoto

Language: Japanese

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W374828532

FWCI: 0.335

Cites: 3

Cited by: 21

Related to: 10