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Title: :  Skin Cancer Detection through Neural Network on Federated Learning
PaperId: :  27111
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 4 2025
DUI:    16.0415/IJARIIE-27111
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Kavya Shree A SCMR University
Dr. Ashok Kumar T ADirector, CMR University
Dr. Uma Devi Ramamurthi Assistant Professor CMR University

Abstract

Computer Science
Federated Learning, Skin Cancer Detection, Melanoma Classification, Convolutional Neural Networks (CNN), Neural Networks, Deep Learning, Medical Image Analysis, Privacy-Preserving AI, Distributed Learning, Healthcare AI, Edge Computing, ISIC Dataset, Medical Imaging, Secure Machine Learning, Early Cancer Diagnosis, Artificial Intelligence in Healthcare, Image Classification, Decentralized Training, Patient Data Privacy, Biomedical Applications.
Skin cancer, particularly melanoma, is one of the most aggressive forms of cancer, and early detection significantly improves survival rates. Traditional machine learning methods for skin lesion classification often require centralized data collection, raising concerns about patient privacy and data security, especially in medical domains. This study presents a privacy-preserving approach to skin cancer detection using Convolutional Neural Networks (CNNs) trained in a Federated Learning (FL) environment.We propose a system in which multiple clients (e.g., hospitals or mobile devices) collaboratively train a neural network model on local skin lesion data without sharing raw images. Using the Flower federated learning framework and a publicly available ISIC skin cancer dataset, we designed a CNN architecture capable of distinguishing between melanoma and benign skin lesions. The federated training process is coordinated by a central server using the FedAvg aggregation algorithm while ensuring that the data remain decentralized.The experimental results demonstrate that our federated CNN model achieves a high classification performance comparable to that of a traditionally trained centralized model. The system preserved data privacy without a significant compromise in accuracy, achieving a detection accuracy of over 85% across multiple simulated clients. This study showcases the real-world applicability of federated learning in healthcare, especially in scenarios where data sharing is restricted by legal or ethical constraints.

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IJARIIE Kavya Shree A S, Dr. Ashok Kumar T A, and Dr. Uma Devi Ramamurthi . "Skin Cancer Detection through Neural Network on Federated Learning" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 4 2025 Page 834-840
MLA Kavya Shree A S, Dr. Ashok Kumar T A, and Dr. Uma Devi Ramamurthi . "Skin Cancer Detection through Neural Network on Federated Learning." International Journal Of Advance Research And Innovative Ideas In Education 11.4(2025) : 834-840.
APA Kavya Shree A S, Dr. Ashok Kumar T A, & Dr. Uma Devi Ramamurthi . (2025). Skin Cancer Detection through Neural Network on Federated Learning. International Journal Of Advance Research And Innovative Ideas In Education, 11(4), 834-840.
Chicago Kavya Shree A S, Dr. Ashok Kumar T A, and Dr. Uma Devi Ramamurthi . "Skin Cancer Detection through Neural Network on Federated Learning." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 4 (2025) : 834-840.
Oxford Kavya Shree A S, Dr. Ashok Kumar T A, and Dr. Uma Devi Ramamurthi . 'Skin Cancer Detection through Neural Network on Federated Learning', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 4, 2025, p. 834-840. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Skin_Cancer_Detection_through_Neural_Network_on_Federated_Learning_ijariie27111.pdf (Accessed : ).
Harvard Kavya Shree A S, Dr. Ashok Kumar T A, and Dr. Uma Devi Ramamurthi . (2025) 'Skin Cancer Detection through Neural Network on Federated Learning', International Journal Of Advance Research And Innovative Ideas In Education, 11(4), pp. 834-840IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Skin_Cancer_Detection_through_Neural_Network_on_Federated_Learning_ijariie27111.pdf (Accessed : )
IEEE Kavya Shree A S, Dr. Ashok Kumar T A, and Dr. Uma Devi Ramamurthi , "Skin Cancer Detection through Neural Network on Federated Learning," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 4, pp. 834-840, Jul-Aug 2025. [Online]. Available: http://ijariie.com/AdminUploadPdf/Skin_Cancer_Detection_through_Neural_Network_on_Federated_Learning_ijariie27111.pdf [Accessed : ].
Turabian Kavya Shree A S, Dr. Ashok Kumar T A, and Dr. Uma Devi Ramamurthi . "Skin Cancer Detection through Neural Network on Federated Learning." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 4 ().
Vancouver Kavya Shree A S, Dr. Ashok Kumar T A, and Dr. Uma Devi Ramamurthi . Skin Cancer Detection through Neural Network on Federated Learning. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(4) : 834-840. Available from: http://ijariie.com/AdminUploadPdf/Skin_Cancer_Detection_through_Neural_Network_on_Federated_Learning_ijariie27111.pdf
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