PrivLogit: Efficient Privacy-preserving Logistic Regression by Tailoring Numerical Optimizers

3 November 2016

Papers citing "PrivLogit: Efficient Privacy-preserving Logistic Regression by Tailoring Numerical Optimizers"

2 / 2 papers shown

Title
Supporting Regularized Logistic Regression Privately and Efficiently Wenfa Li Hongzhe Liu Peng Yang W. Xie 29 44 0 01 Oct 2015
Achieving Both Valid and Secure Logistic Regression Analysis on Aggregated Data from Different Private Sources Rob Hall Yuval Nardi S. Fienberg 68 28 0 30 Nov 2011