High Dimensional Differentially Private Stochastic Optimization with Heavy-tailed Data
Main Authors: | , , , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
ACM|Proceedings of the 41st ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems
2022
|
Online Access: | https://hdl.handle.net/1721.1/146475 |
_version_ | 1826196046763524096 |
---|---|
author | Hu, Lijie Ni, Shuo Xiao, Hanshen Wang, Di |
author2 | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
author_facet | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Hu, Lijie Ni, Shuo Xiao, Hanshen Wang, Di |
author_sort | Hu, Lijie |
collection | MIT |
first_indexed | 2024-09-23T10:19:59Z |
format | Article |
id | mit-1721.1/146475 |
institution | Massachusetts Institute of Technology |
language | English |
last_indexed | 2024-09-23T10:19:59Z |
publishDate | 2022 |
publisher | ACM|Proceedings of the 41st ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems |
record_format | dspace |
spelling | mit-1721.1/1464752023-07-05T19:32:10Z High Dimensional Differentially Private Stochastic Optimization with Heavy-tailed Data Hu, Lijie Ni, Shuo Xiao, Hanshen Wang, Di Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory 2022-11-15T18:48:17Z 2022-11-15T18:48:17Z 2022-06-12 2022-11-03T12:30:12Z Article http://purl.org/eprint/type/ConferencePaper 978-1-4503-9260-0 https://hdl.handle.net/1721.1/146475 Hu, Lijie, Ni, Shuo, Xiao, Hanshen and Wang, Di. 2022. "High Dimensional Differentially Private Stochastic Optimization with Heavy-tailed Data." PUBLISHER_POLICY en https://doi.org/10.1145/3517804.3524144 Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. The author(s) application/pdf ACM|Proceedings of the 41st ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems ACM|Proceedings of the 41st ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems |
spellingShingle | Hu, Lijie Ni, Shuo Xiao, Hanshen Wang, Di High Dimensional Differentially Private Stochastic Optimization with Heavy-tailed Data |
title | High Dimensional Differentially Private Stochastic Optimization with Heavy-tailed Data |
title_full | High Dimensional Differentially Private Stochastic Optimization with Heavy-tailed Data |
title_fullStr | High Dimensional Differentially Private Stochastic Optimization with Heavy-tailed Data |
title_full_unstemmed | High Dimensional Differentially Private Stochastic Optimization with Heavy-tailed Data |
title_short | High Dimensional Differentially Private Stochastic Optimization with Heavy-tailed Data |
title_sort | high dimensional differentially private stochastic optimization with heavy tailed data |
url | https://hdl.handle.net/1721.1/146475 |
work_keys_str_mv | AT hulijie highdimensionaldifferentiallyprivatestochasticoptimizationwithheavytaileddata AT nishuo highdimensionaldifferentiallyprivatestochasticoptimizationwithheavytaileddata AT xiaohanshen highdimensionaldifferentiallyprivatestochasticoptimizationwithheavytaileddata AT wangdi highdimensionaldifferentiallyprivatestochasticoptimizationwithheavytaileddata |