SCOF: Security-Aware Computation Offloading Using Federated Reinforcement Learning in Industrial Internet of Things With Edge Computing-Reference-Cited by-同舟云学术

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SCOF: Security-Aware Computation Offloading Using Federated Reinforcement Learning in Industrial Internet of Things With Edge Computing

Published:2024-07 Issue:4 Volume:17 Page:1780-1792
ISSN:1939-1374
Container-title:IEEE Transactions on Services Computing
language:
Short-container-title:IEEE Trans. Serv. Comput.

Author:

Peng Kai¹^ORCID,Xiao Peiyun¹^ORCID,Wang Shangguang²^ORCID,Leung Victor C.M.³^ORCID

Affiliation:

1. College of Engineering, Huaqiao University, Quanzhou, Fujian, China

2. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China

3. College of the Computer Science and Software Engineering, Shenzhen University, Shenzhen, Guangdong, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Quanzhou Science and Technology

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/4629386/10630587/10473157.pdf?arnumber=10473157

Reference50 articles.

1. Industry 5.0: The Arising of a Concept

2. Human Digital Twin in the context of Industry 5.0

3. An Improved and Efficient Computational Offloading Method Based on ADMM Strategy in Cloud-Edge Collaborative Computing Environment for Resilient Industry 5.0

4. A Survey of Intelligent Network Slicing Management for Industrial IoT: Integrated Approaches for Smart Transportation, Smart Energy, and Smart Factory

5. Multi-Objective Computation Sharing in Energy and Delay Constrained Mobile Edge Computing Environments

Cited by 2 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. Security-Aware Task Offloading Using Deep Reinforcement Learning in Mobile Edge Computing Systems;Electronics;2024-07-25

2. Blockchain-Enabled Federated Reinforcement Learning (B-FRL) Model for Privacy Preservation Service in IoT Systems;Wireless Personal Communications;2024-06

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