Estimating Smooth GLM in Non-interactive Local Differential Privacy Model with Public Unlabeled Data (Conference Paper) | NSF PAGES

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Estimating Smooth GLM in Non-interactive Local Differential Privacy Model with Public Unlabeled Data

Award ID(s):: 1716400 1910492

NSF-PAR ID:: 10311559

Author(s) / Creator(s):: Wang, Di; Zhang, Huanyu; Gaboardi, Marco; Xu, Jinhui

Date Published:: 2021-01-01

Journal Name:: Proc. 32nd International Conference on Algorithmic Learning Theory (ALT 2021)

Format(s):: Medium: X

Sponsoring Org:: National Science Foundation

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Conference Paper:
The DOI is not currently available.