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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606357/ https://www.ncbi.nlm.nih.gov/pubmed/37895591 http://dx.doi.org/10.3390/e25101470 |