Achieving Both Valid and Secure Logistic Regression Analysis on Aggregated Data from Different Private Sources

• Main Authors: Nardi, Yuval, FIENBERG, Stephen, HALL, Robert J.
• 格式: text
• 語言: English
• 出版: Institutional Knowledge at Singapore Management University 2012
• 主題: Information Security; Numerical Analysis and Scientific Computing
• 在線閱讀: https://ink.library.smu.edu.sg/larc/2; https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1001&context=larc

Preserving the privacy of individual databases when carrying out statistical calculations has a relatively long history in statistics and had been the focus of much recent attention in machine learning. In this paper, we present a protocol for fitting a logistic regression when the data are held by...