BGFL: a blockchain-enabled group federated learning at wireless industrial edges

Abstract In the rapidly evolving landscape of Industry 4.0, the complex computational tasks and the associated massive data volumes present substantial opportunities for advancements in machine learning at industry edges. Federated learning (FL), which is a variant of distributed machine learning fo...

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Bibliographic Details

Published in:	Journal of Cloud Computing: Advances, Systems and Applications
Main Authors:	Guozheng Peng, Xiaoyun Shi, Jun Zhang, Lisha Gao, Yuanpeng Tan, Nan Xiang, Wanguo Wang
Format:	Article
Language:	English
Published:	SpringerOpen 2024-10-01
Subjects:	Federated learning Blockchain Edge-cloud cooperation Wireless traffic
Online Access:	https://doi.org/10.1186/s13677-024-00700-1