A Federated Deep Reinforcement Learning-Based Trust Model in Underwater Acoustic Sensor Networks-Reference-Cited by-同舟云学术

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A Federated Deep Reinforcement Learning-Based Trust Model in Underwater Acoustic Sensor Networks

Published:2023 Issue: Volume: Page:1-12
ISSN:1536-1233
Container-title:IEEE Transactions on Mobile Computing
language:
Short-container-title:IEEE Trans. on Mobile Comput.

Author:

He Yu¹^ORCID,Han Guangjie¹^ORCID,Li Aohan²^ORCID,Taleb Tarik³^ORCID,Wang Chenyang⁴^ORCID,Yu Hao³^ORCID

Affiliation:

1. Department of Internet of Things Engineering, Hohai University, Changzhou, Jiangsu, China

2. Graduate School of Informatics and Engineering, University of Electro-Communications, Chofu, Tokyo, Japan

3. Center for Wireless Communications, University of Oulu, Oulu, Finland

4. College of Intelligence and Computing, Tianjin University, Tianjin, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Software

Link

http://xplorestaging.ieee.org/ielx7/7755/4358975/10209233.pdf?arnumber=10209233

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Prediction of Reliability of Data in Underwater Communication Network Using Fuzzy Logic;2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC);2024-01-29

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