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...

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Detalles Bibliográficos
Autores principales: Yaqoob, Muhammad Mateen, Alsulami, Musleh, Khan, Muhammad Amir, Alsadie, Deafallah, Saudagar, Abdul Khader Jilani, AlKhathami, Mohammed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10252842/
https://www.ncbi.nlm.nih.gov/pubmed/37296816
http://dx.doi.org/10.3390/diagnostics13111964

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