Skin Cancer Detection through Neural Network on Federated Learning

Kavya Shree A S; Dr. Ashok Kumar T A; Dr. Uma Devi Ramamurthi

Skin Cancer Detection through Neural Network on Federated Learning

July 2025

Vol-11, Issue-4

Paper ID: 27111

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer Science

Keywords

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.

Abstract

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.

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Information

#	Name	Institute / Affiliation
1	Kavya Shree A S	CMR University
2	Dr. Ashok Kumar T A	Director, CMR University
3	Dr. Uma Devi Ramamurthi	Assistant Professor CMR University

How to Cite

Use the following formats to cite this article in your research.

APA Style

S, Kavya Shree A, A, Dr. Ashok Kumar T, & Ramamurthi, Dr. Uma Devi (2025). Skin Cancer Detection through Neural Network on Federated Learning. International Journal of Advance Research and Innovative Ideas In Education, 11(4), 834-840.

MLA Style

S, Kavya Shree A, et al. "Skin Cancer Detection through Neural Network on Federated Learning." International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 4, 2025, pp. 834-840.

IEEE Style

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, 2025.

Vancouver Style

S Kavya Shree A, A Dr. Ashok Kumar T, Ramamurthi Dr. Uma Devi. Skin Cancer Detection through Neural Network on Federated Learning. International Journal of Advance Research and Innovative Ideas In Education. 2025;11(4):834-840.

Harvard Style

S, Kavya Shree A, A, Dr. Ashok Kumar T, & Ramamurthi, Dr. Uma Devi (2025) 'Skin Cancer Detection through Neural Network on Federated Learning', International Journal of Advance Research and Innovative Ideas In Education, 11(4), pp. 834-840.

Chicago Style

S, Kavya Shree A, 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.

Turabian Style

S, Kavya Shree A, 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.