BAFL: An Efficient Blockchain-Based Asynchronous Federated Learning Framework-Reference-Cited by-同舟云学术

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BAFL: An Efficient Blockchain-Based Asynchronous Federated Learning Framework

Published:2021-09-05 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE Symposium on Computers and Communications (ISCC)
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Author:

Xu Chenhao,Qu Youyang,Eklund Peter W.,Xiang Yong,Gao Longxiang

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9631377/9631248/09631405.pdf?arnumber=9631405

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Learning-Based Hierarchical Edge Data Corruption Detection Framework in Edge Intelligence;IEEE Internet of Things Journal;2024-05-15

2. Towards blockchain-enabled decentralized and secure federated learning;Information Sciences;2024-04

3. Refiner: a reliable and efficient incentive-driven federated learning system powered by blockchain;The VLDB Journal;2024-02-28

4. When Blockchain Meets Asynchronous Federated Learning;Lecture Notes in Computer Science;2024

5. A Blockchain-Enabled Decentralized Federated Learning System with Transparent and Open Incentive and Audit Contracts;Communications in Computer and Information Science;2023-11-25

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