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Federated transfer learning for auxiliary classifier generative adversarial networks: framework and industrial application
Machine learning with considering data privacy-preservation and personalized models has received attentions, especially in the manufacturing field. The data often exist in the form of isolated islands and cannot be shared because of data privacy in real industrial scenarios. It is difficult to gathe...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10162656/ https://www.ncbi.nlm.nih.gov/pubmed/37361337 http://dx.doi.org/10.1007/s10845-023-02126-z |