pDPoSt+sPBFT: A High Performance Blockchain-Assisted Parallel Reinforcement Learning in Industrial Edge-Cloud Collaborative Network-Reference-Cited by-同舟云学术

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pDPoSt+sPBFT: A High Performance Blockchain-Assisted Parallel Reinforcement Learning in Industrial Edge-Cloud Collaborative Network

Published:2022 Issue: Volume: Page:1-1
ISSN:1932-4537
Container-title:IEEE Transactions on Network and Service Management
language:
Short-container-title:IEEE Trans. Netw. Serv. Manage.

Author:

Yang Fan¹^ORCID,Xu Fangmin¹^ORCID,Feng Tao²,Qiu Chao³^ORCID,Zhao Chenglin¹^ORCID

Affiliation:

1. School of Information and Communication Engineering (SICE), Beijing University of Posts and Telecommunications (BUPT), Beijing, China

2. China National Tendering Center of Mach. Elec. Equipment, MIIT, China

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

Funder

Natural Science Foundation of Beijing Municipality

National Natural Science Foundation of China

Beijing University of Posts and Telecommunications

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

http://xplorestaging.ieee.org/ielx7/4275028/5699970/09991258.pdf?arnumber=9991258

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1. Capuchin Search Algorithm With Deep Learning-Based Data Edge Verification for Blockchain-Assisted IoT Environment;IEEE Access;2024

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