Distributed Learning in Healthcare: Application of Federated Learning to Skin Cancer Diagnosis

Yeke Zhang

2024

Abstract

Skin cancer is one of the deadliest diseases, but some of its types can be treated and cured if diagnosed in early stages. Machine learning (ML) is important for accurate skin cancer detection. Using ML to train a module is definitely helpful to image recognition and cancer prediction. However, patients’ relevant data is private and sensitive. It is illegal for module trainers to transport raw data directly. To solve this problem, federated learning (FL) provides a grand new approach to construct an accurate but private skin cancer detection system. This paper introduces the theory how FL is applied to skin cancer diagnosis and reviews the development of FL and skin cancer detection in recent years. The paper mainly focuses on certain outstanding applications, especially those have been proven effective and better than traditional method. Besides, through discussion on limitations and challenges of FL in this field, the paper explores the future direction of research. The aim is to highlight the potential of FL in the skin cancer diagnosis and application to future health system.

Paper Citation

in Harvard Style

Zhang Y. (2024). Distributed Learning in Healthcare: Application of Federated Learning to Skin Cancer Diagnosis. In Proceedings of the 1st International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI; ISBN 978-989-758-713-9, SciTePress, pages 675-678. DOI: 10.5220/0012967700004508

in Bibtex Style

@conference{emiti24,
author={Yeke Zhang},
title={Distributed Learning in Healthcare: Application of Federated Learning to Skin Cancer Diagnosis},
booktitle={Proceedings of the 1st International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI},
year={2024},
pages={675-678},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012967700004508},
isbn={978-989-758-713-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI
TI - Distributed Learning in Healthcare: Application of Federated Learning to Skin Cancer Diagnosis
SN - 978-989-758-713-9
AU - Zhang Y.
PY - 2024
SP - 675
EP - 678
DO - 10.5220/0012967700004508
PB - SciTePress