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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Detalhes bibliográficos

Principais autores:	Guozheng Peng, Xiaoyun Shi, Jun Zhang, Lisha Gao, Yuanpeng Tan, Nan Xiang, Wanguo Wang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	SpringerOpen 2024-10-01
coleção:	Journal of Cloud Computing: Advances, Systems and Applications
Assuntos:	Federated learning Blockchain Edge-cloud cooperation Wireless traffic
Acesso em linha:	https://doi.org/10.1186/s13677-024-00700-1
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