Dynamic Semi-Supervised Federated Learning Fault Diagnosis Method Based on an Attention Mechanism

In cases where a client suffers from completely unlabeled data, unsupervised learning has difficulty achieving an accurate fault diagnosis. Semi-supervised federated learning with the ability for interaction between a labeled client and an unlabeled client has been developed to overcome this difficu...

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Hlavní autoři:	Shun Liu, Funa Zhou, Shanjie Tang, Xiong Hu, Chaoge Wang, Tianzhen Wang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2023-10-01
Edice:	Entropy
Témata:	fault diagnosis semi-supervised federated learning attention mechanism dynamic federation model reliability
On-line přístup:	https://www.mdpi.com/1099-4300/25/10/1470
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