Deep learning for privacy preservation in autonomous moving platforms enhanced 5G heterogeneous networks-Reference-Cited by-同舟云学术

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Deep learning for privacy preservation in autonomous moving platforms enhanced 5G heterogeneous networks

Published:2021-02 Issue: Volume:185 Page:107743
ISSN:1389-1286
Container-title:Computer Networks
language:en
Short-container-title:Computer Networks

Author:

Wu Yulei^ORCID,Ma Yuxiang,Dai Hong-Ning,Wang Hao^ORCID

Funder

Engineering and Physical Sciences Research Council

Publisher

Elsevier BV

Subject

Computer Networks and Communications

Reference166 articles.

1. Cloud-edge orchestration for the internet-of-things: Architecture and ai-powered data processing;Wu;IEEE Internet Things J.,2020

2. Convergence of blockchain and edge computing for secure and scalable iiot critical infrastructures in industry 4.0;Wu;IEEE Internet Things J.,2020

3. 5G-Enabled Internet of Things;Wu,2019

4. Redundant tcp connector (rtc) for improving the performance of mobile devices;Sabareesh,2019

5. Safeguard network slicing in 5g: A learning augmented optimization approach;Cheng;IEEE J. Sel. Areas Commun.,2020

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