A Privacy Protecting Mechanism in UAV-MEC Network with Blockchain-Enabled Federated Learning-Reference-Cited by-同舟云学术

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A Privacy Protecting Mechanism in UAV-MEC Network with Blockchain-Enabled Federated Learning

Published:2023-12-06 Issue: Volume:7 Page:227-233
ISSN:
Container-title:Proceedings of the 2023 13th International Conference on Communication and Network Security
language:
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Author:

Zhu Chaoyang¹^ORCID,Zhu Xiao²^ORCID,Zhang Zhenrong³^ORCID,Qin Tuanfa³^ORCID

Affiliation:

1. School of Electronic and Information Engineering, South China University of Technology, China

2. School of Electronic Information Engineering, Guangxi Vocational Technical Institute of Industry, China

3. School of Computer and Electronic Information, Guangxi University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3638782.3638817

Reference15 articles.

1. Deep Learning with Differential Privacy

2. Mourad Benmalek, Mohamed Ali Benrekia, and Yacine Challal. 2022. Security of Federated Learning: Attacks, Defensive Mechanisms, and Challenges. Revue d’Intelligence Artificielle (2022). https://api.semanticscholar.org/CorpusID:247514332

3. Meng Hao, Hongwei Li, Guowen Xu, Sen Liu, and Haomiao Yang. 2019. Towards Efficient and Privacy-Preserving Federated Deep Learning. ICC 2019 - 2019 IEEE International Conference on Communications (ICC) (2019), 1–6. https://api.semanticscholar.org/CorpusID:198169168

4. Blockchain and Federated Learning for Collaborative Intrusion Detection in Vehicular Edge Computing

5. Blockchain and Federated Learning for Privacy-Preserved Data Sharing in Industrial IoT

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