DPCL: Contrastive representation learning with differential privacy-Reference-Cited by-同舟云学术

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DPCL: Contrastive representation learning with differential privacy

Published:2022-08-26 Issue:11 Volume:37 Page:9701-9725
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J of Intelligent Sys

Author:

Li Wenjun¹,Yan Anli²,Wu Di¹,Zhu Taoyu¹,Huang Teng¹^ORCID,Luo Xuandi¹,Wang Shaowei¹

Affiliation:

1. Institute of Artificial Intelligence and Blockchain Guangzhou University Guangzhou China

2. School of Cyberspace Security (School of Cryptology) Hainan University Haikou China

Publisher

Hindawi Limited

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.23002

Reference47 articles.

1. An empirical study of supervised email classification in Internet of Things: Practical performance and key influencing factors

2. Deep reinforcement learning‐based multitask hybrid computing offloading for multiaccess edge computing

3. ChenT KornblithS NorouziM HintonG. A simple framework for contrastive learning of visual representations. International Conference on Machine Learning PMLR;2020:1597‐1607.

4. HeK FanH WuY XieS GirshickR Momentum contrast for unsupervised visual representation learning. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition;2020:9729‐9738.

5. GrillJ‐B StrubF Altch/eF et al. Bootstrap your own latent: a new approach to self‐supervised learning. arXiv preprint arXiv:2006.07733;2020.

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