Privacy-Preserving Data Sharing in High Dimensional Regression and Classification Settings

We focus on the problem of multi-party data sharing in high dimensional data settings where the number of measured features (or the dimension) p is frequently much larger than the number of subjects (or the sample size) n, the so-called p>> n scenario that has been the focus of much recent sta...

Full description

Saved in:
Bibliographic Details
Main Authors: FIENBERG, Stephen E., JIN, Jiashun
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2012
Subjects:
Online Access:https://ink.library.smu.edu.sg/larc/1
https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1000&context=larc
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English