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...

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Detalles Bibliográficos
Autores principales: Zhou, Funa, Yang, Yi, Wang, Chaoge, Hu, Xiong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10137528/
https://www.ncbi.nlm.nih.gov/pubmed/37190394
http://dx.doi.org/10.3390/e25040606

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