23 citations · 34 across the 2 of their papers we have counts for
2 papers
cs.LG2016★ 23 cited
PrivLogit: Efficient Privacy-preserving Logistic Regression by Tailoring Numerical Optimizers
Wei Xie, Yang Wang, Steven M. Boker +1
Safeguarding privacy in machine learning is highly desirable, especially in collaborative studies across many organizations. Privacy-preserving distributed machine learning (based…
cs.LG2016★ 11 cited
A novel transfer learning method based on common space mapping and weighted domain matching
Ru-Ze Liang, Wei Xie, Weizhi Li +3
In this paper, we propose a novel learning framework for the problem of domain transfer learning. We map the data of two domains to one single common space, and learn a classifier…