Cloud-Edge-End Collaboration in Air–Ground Integrated Power IoT: A Semidistributed Learning Approach-Reference-Cited by-同舟云学术

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Cloud-Edge-End Collaboration in Air–Ground Integrated Power IoT: A Semidistributed Learning Approach

Published:2022-11 Issue:11 Volume:18 Page:8047-8057
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Liao Haijun¹^ORCID,Jia Zehan¹,Zhou Zhenyu¹^ORCID,Wang Yang²,Zhang Hui²,Mumtaz Shahid³^ORCID

Affiliation:

1. Hebei Key Laboratory of Power Internet of Things Technology, North China Electric Power University, Beijing, China

2. Institute of Information and Communication, China Electric Power Research Institute Company Ltd., State Grid Corporation of China, Beijing, China

3. Instituto de Telecomunicações Campus Universitário de Santiago, University of Aveiro, Aveiro, Portugal

Funder

National Key R&D Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9424/9895125/09749852.pdf?arnumber=9749852

Reference27 articles.

1. Vulnerability Assessment of 6G-Enabled Smart Grid Cyber–Physical Systems

2. Deep-Reinforcement-Learning-Based Mode Selection and Resource Allocation for Cellular V2X Communications

3. Multiagent DDPG-Based Deep Learning for Smart Ocean Federated Learning IoT Networks

4. Multiagent Actor-Critic Network-Based Incentive Mechanism for Mobile Crowdsensing in Industrial Systems

5. Joint Offloading and Trajectory Design for UAV-Enabled Mobile Edge Computing Systems

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