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Federated Learning Based Fault Diagnosis Driven by Intra-Client Imbalance Degree
Federated learning is an effective means to combine model information from different clients to achieve joint optimization when the model of a single client is insufficient. In the case when there is an inter-client data imbalance, it is significant to design an imbalanced federation aggregation str...
| 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/PMC10137528/ https://www.ncbi.nlm.nih.gov/pubmed/37190394 http://dx.doi.org/10.3390/e25040606 |