Research on Decentralized Federated Learning System for Vehicle Data Privacy Protection Based on Blockchain-Reference-Cited by-同舟云学术

Research on Decentralized Federated Learning System for Vehicle Data Privacy Protection Based on Blockchain

Published:2023-08-11 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Image Processing and Computer Applications (ICIPCA)
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Author:

Li Qiong¹,Gong Bin¹,Zhu Yizhao¹,Cai Rongsheng¹,Kong Xiangqian¹

Affiliation:

1. City University of Macau,Faculty of Data Science,Macau,China,999078

Publisher

IEEE

Link

Reference9 articles.

1. An efficient Federal Learning approach to privacy protection for Ship networking;zehui;China Ship Research,2022

2. Edge Computing privacy protection approach based on blockchain and Federated Learning;chen;Journal of Communications,2021

3. Decentralized federated learning model for privacy protection based on blockchain;wei;Journal of Computer research and development,2022

4. Adaptive federated deep learning algorithm for non-independent codistributed data;zehui;ACTA Automatica Sinica,2022

5. Blockchain based Federated learning system architecture for the Industrial Internet of Things;qiu-yu;Computer Systems and Applications,2021

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2. Impact of Different Network Parameters on Federated Learning Performance in Vehicular Networks;2024 IEEE International Workshop on Radio Frequency and Antenna Technologies (iWRF&AT);2024-05-31

3. Research on federal learning privacy protection based on secure multi-party computing;Proceedings of the 2024 3rd International Conference on Cyber Security, Artificial Intelligence and Digital Economy;2024-03