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

• Main Authors: Nardi, Yuval, FIENBERG, Stephen, HALL, Robert J.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2012
• Subjects: Information Security; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/larc/2; https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1001&context=larc
• Institution: Singapore Management University

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...