Bayesian Game-Driven Incentive Mechanism for Blockchain-Enabled Secure Federated Learning in 6G Wireless Networks-Reference-Cited by-同舟云学术

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Bayesian Game-Driven Incentive Mechanism for Blockchain-Enabled Secure Federated Learning in 6G Wireless Networks

Published:2024-09 Issue:5 Volume:11 Page:4951-4964
ISSN:2327-4697
Container-title:IEEE Transactions on Network Science and Engineering
language:
Short-container-title:IEEE Trans. Netw. Sci. Eng.

Author:

Cai Lingyi¹,Dai Yueyue¹^ORCID,Hu Qiwei¹,Zhou Jiaxi²,Zhang Yan³^ORCID,Jiang Tao¹^ORCID

Affiliation:

1. Research Center of 6G Mobile Communications, School of Cyber Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

2. 38th Research Institute of China Electronics Technology Group Corporation, Beijing, China

3. Department of Informatics, University of Oslo, Oslo, Norway

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

State Key Laboratory of Rail Traffic Control and Safety

Beijing Jiaotong University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488902/10637788/10539084.pdf?arnumber=10539084

Reference31 articles.

1. Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications

2. Envisioning Device-to-Device Communications in 6G

3. Optimization Design for Federated Learning in Heterogeneous 6G Networks

4. Federated learning for 6G: Applications, challenges, and opportunities;Yang,2022

5. Communication-efficient hierarchical federated learning for IoT heterogeneous systems with imbalanced data;Abdellatif,2022

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