Optimizing resource allocation in industrial IoT with federated machine learning and edge computing integration

The study explores resource allocation in Federated Machine Learning (FedML) for the Industrial Internet of Things (IIoT), focusing on efficient and privacy-conscious data processing. It proposes optimizing the FedML training process to enhance system performance and ensure data privacy. The researc...

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Principais autores:	Ala'a R. Al-Shamasneh, Faten Khalid Karim, Yu Wang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2025-09-01
coleção:	Results in Engineering
Assuntos:	Industrial Internet of Things Federated learning Resource allocation Mobile edge computing
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2590123025024570
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