From Data Integrity to Global ModeI Integrity for Decentralized Federated Learning: A Blockchain-based Approach-Reference-Cited by-同舟云学术

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From Data Integrity to Global ModeI Integrity for Decentralized Federated Learning: A Blockchain-based Approach

Published:2024-06-30 Issue: Volume: Page:1-8
ISSN:
Container-title:2024 International Joint Conference on Neural Networks (IJCNN)
language:
Short-container-title:

Author:

Wang Na¹,Zhao Yao²,Qu Youyang¹,Cui Lei¹,Li Bai³,Gao Longxiang¹

Affiliation:

1. Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center,Jinan,China

2. Deakin University,School of IT,VIC,Australia

3. Zhejiang Tianheng Information Technology Company,China

Funder

Young Scientists Fund

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10649807/10649898/10650519.pdf?arnumber=10650519

Reference28 articles.

1. Fusion of federated learning and industrial internet of things: A survey;Pham,2021

2. Internet of Things (IoT) Security Intelligence: A Comprehensive Overview, Machine Learning Solutions and Research Directions

3. Learn to Unlearn: Insights Into Machine Unlearning

4. Machine learning and data analytics for the IoT

5. Blockchain-enabled Federated Learning: A Survey

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