Wang, Di, Zhang, Huanyu, Gaboardi, Marco, and Xu, Jinhui. Estimating Smooth GLM in Non-interactive Local Differential Privacy Model with Public Unlabeled Data. Retrieved from https://par.nsf.gov/biblio/10311559. Proc. 32nd International Conference on Algorithmic Learning Theory (ALT 2021) .
Wang, Di, Zhang, Huanyu, Gaboardi, Marco, & Xu, Jinhui. Estimating Smooth GLM in Non-interactive Local Differential Privacy Model with Public Unlabeled Data. Proc. 32nd International Conference on Algorithmic Learning Theory (ALT 2021), (). Retrieved from https://par.nsf.gov/biblio/10311559.
Wang, Di, Zhang, Huanyu, Gaboardi, Marco, and Xu, Jinhui.
"Estimating Smooth GLM in Non-interactive Local Differential Privacy Model with Public Unlabeled Data". Proc. 32nd International Conference on Algorithmic Learning Theory (ALT 2021) (). Country unknown/Code not available. https://par.nsf.gov/biblio/10311559.
@article{osti_10311559,
place = {Country unknown/Code not available},
title = {Estimating Smooth GLM in Non-interactive Local Differential Privacy Model with Public Unlabeled Data},
url = {https://par.nsf.gov/biblio/10311559},
abstractNote = {},
journal = {Proc. 32nd International Conference on Algorithmic Learning Theory (ALT 2021)},
author = {Wang, Di and Zhang, Huanyu and Gaboardi, Marco and Xu, Jinhui},
}
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