Differentially Private Empirical Risk Minimization Revisited: Faster and More General (Journal Article) | NSF PAGES

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Citation Details

Differentially Private Empirical Risk Minimization Revisited: Faster and More General

Authors:: Wang, D.; Ye, M.; Xu, J.

Award ID(s):: 1910492

Publication Date:: 2017-12-01

NSF-PAR ID:: 10186223

Journal Name:: Proc. 31st Annual Conference on Advances in Neural Information Processing Systems (NIPS 2017)

Page Range or eLocation-ID:: 2719-2728

Sponsoring Org:: National Science Foundation

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