SecureVFL: privacy-preserving multi-party vertical federated learning based on blockchain and RSS
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Published:2024-08
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ISSN:2352-8648
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Container-title:Digital Communications and Networks
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language:en
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Short-container-title:Digital Communications and Networks
Author:
Fan MochanORCID, Zhang Zhipeng, Li ZonghangORCID, Sun GangORCID, Yu Hongfang, Kang JiawenORCID, Guizani Mohsen
Reference42 articles.
1. L. Liu, Y. Zhou, J. Yuan, W. Zhuang, Y. Wang, Economically optimal ms association for multimedia content delivery in cache-enabled heterogeneous cloud radio access networks, IEEE Journal on Selected Areas in Communications. 37 (7) (2019) 1584–1593. 2. M. Fan, K. Ji, Z. Zhang, H. Yu, G. Sun, Lightweight privacy and security computing for blockchained federated learning in iot, IEEE Internet of Things Journal. 10 (18) (2023) 16048–16060. 3. Y. A. Abid, J. Wu, M. Farhan, T. Ahmad, Ecmt framework for internet of things: an integrative approach employing in-memory attribute examination and sophisticated neural network architectures in conjunction with hybridized machine learning methodologies, IEEE Internet of Things Journal. 11 (4) (2023) 5867–5886. 4. Y. Peng, X. Tang, Y. Zhou, Y. Hou, J. Li, Y. Qi, L. Liu, H. Lin, How to tame mobility in federated learning over mobile networks?, IEEE Transactions on Wireless Communications. 22 (12) (2023) 9640–9657. 5. M. Fan, K. Ji, Z. Zhang, H. Yu, G. Sun, Lightweight privacy and security computing for blockchained federated learning in iot, IEEE Internet of Things Journal. 10 (18) (2023) 16048–16060.
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