Context-Aware Consensus Algorithm for Blockchain-Empowered Federated Learning-Reference-Cited by-同舟云学术

Context-Aware Consensus Algorithm for Blockchain-Empowered Federated Learning

Published:2024-04 Issue:2 Volume:12 Page:491-503
ISSN:2168-7161
Container-title:IEEE Transactions on Cloud Computing
language:
Short-container-title:IEEE Trans. Cloud Comput.

Author:

Zhao Yao¹^ORCID,Qu Youyang²^ORCID,Xiang Yong¹^ORCID,Chen Feifei¹^ORCID,Gao Longxiang²^ORCID

Affiliation:

1. School of Information Technology, Deakin University, Burwood, VIC, Australia

2. Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center, Shandong Provincial Key Laboratory of Computer Networks, Shandong Fundamental Research Center for Computer Science, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China

Funder

Australian Research Council

Taishan Scholars Program

Shandong Excellent Young Scientists Fund Program

Natural Science Foundation of Shandong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6245519/10551658/10458328.pdf?arnumber=10458328

Reference50 articles.

1. Adaptive Asynchronous Federated Learning in Resource-Constrained Edge Computing

2. Towards Fair and Privacy-Preserving Federated Deep Models

3. Friend-as-Learner: Socially-Driven Trustworthy and Efficient Wireless Federated Edge Learning

4. FL-SEC: Privacy-Preserving Decentralized Federated Learning Using SignSGD for the Internet of Artificially Intelligent Things

5. BFCRI: A Blockchain-Based Framework for Crowdsourcing With Reputation and Incentive

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