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

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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Bibliografske podrobnosti
Main Authors: Shun Liu, Funa Zhou, Shanjie Tang, Xiong Hu, Chaoge Wang, Tianzhen Wang
Format: Article
Jezik:English
Izdano: MDPI AG 2023-10-01
Serija:Entropy
Teme:
fault diagnosis
semi-supervised federated learning
attention mechanism
dynamic federation
model reliability
Online dostop:https://www.mdpi.com/1099-4300/25/10/1470

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https://www.mdpi.com/1099-4300/25/10/1470

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