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Federated Machine Learning for Skin Lesion Diagnosis: An Asynchronous and Weighted Approach
The accurate and timely diagnosis of skin cancer is crucial as it can be a life-threatening disease. However, the implementation of traditional machine learning algorithms in healthcare settings is faced with significant challenges due to data privacy concerns. To tackle this issue, we propose a pri...
| 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/PMC10252842/ https://www.ncbi.nlm.nih.gov/pubmed/37296816 http://dx.doi.org/10.3390/diagnostics13111964 |