Privacy constraints in regularized convex optimization
Kamalika Chaudhuri, Anand D. Sarwate
TL;DR
This paper discusses privacy constraints in regularized convex optimization, but has been withdrawn and replaced with a corrected version on arXiv, indicating ongoing refinement of the research.
Contribution
The original work aimed to analyze privacy constraints in convex optimization, but the main contributions are now in the revised version on arXiv.
Findings
Original analysis of privacy constraints in convex optimization
Identification of errors in initial version
Corrected results available in arXiv:0912.0071v4
Abstract
This paper is withdrawn due to some errors, which are corrected in arXiv:0912.0071v4 [cs.LG].
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsPrivacy-Preserving Technologies in Data · Stochastic Gradient Optimization Techniques · Complexity and Algorithms in Graphs