A Novel Federated Learning Framework for Sustainable and Efficient Breast Cancer Classification System (FL-L<sub>2</sub>CNN-BCDet)

A Novel Federated Learning Framework for Sustainable and Efficient Breast Cancer Classification System (FL-L<sub>2</sub>CNN-BCDet)

Artificial intelligence (AI) technologies have vastly improved. AI is now being used in a variety of applications to diagnose Breast Cancer (BC). However, most of the recent research has focused on centralized learning, which can pose privacy risks. In this paper, we propose a novel Federated Learni...

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Bibliographic Details
Main Authors: Nesma Abd El-Mawla, Mohamed A. Berbar, Nawal A. El-Fishawy, Mohamed A. El-Rashidy
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Breast cancer
federated learning
deep learning
green AI
classification
Online Access:https://ieeexplore.ieee.org/document/10737344/
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https://ieeexplore.ieee.org/document/10737344/

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