Explainable and secure federated learning for privacy-enhancing skin cancer classification using a lightweight multi-scale CNN

Abstract Skin diseases pose a major public health challenge, with skin cancer being the most prevalent malignancy. Early detection is critical for improving patient outcomes, yet traditional diagnostic methods rely on expert evaluation, which is limited by clinician variability, image quality, and a...

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Автори:	Abdullah Siddique Mohammad Sayeed, Shaikh Afnan Birahim, Md Shafiq Ullah, Yamina Islam, Avijit Paul, Mohammad Asif Hasan, Mominul Ahsan, Marcin Kowalski
Формат:	Artigo
Мова:	Inglês
Опубліковано:	Nature Portfolio 2026-02-01
Серія:	Scientific Reports
Предмети:	Skin cancer classification Federated learning Lightweight multi-scale CNN Homomorphic encryption Explainable AI
Онлайн доступ:	https://doi.org/10.1038/s41598-026-41360-2
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Explainable and secure federated learning for privacy-enhancing skin cancer classification using a lightweight multi-scale CNN

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