Privacy-preserving detection and classification of diabetic retinopathy using federated learning with FedDEO optimization

Privacy-preserving detection and classification of diabetic retinopathy using federated learning with FedDEO optimization

Diabetic retinopathy (DR) is a major cause of blindness among adults worldwide. Detecting and classifying DR early is essential for timely treatment and prevention of vision loss. This study introduces a new approach to identify and classify DR by using federated learning (FL) environment and Federa...

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Bibliographic Details
Main Authors:	Dasari Bhulakshmi, Dharmendra Singh Rajput
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2024-12-01
Series:	Systems Science & Control Engineering
Subjects:	Diabetic retinopathy fundus images deep learning federated learning machine learning federated differential evolution optimization
Online Access:	https://www.tandfonline.com/doi/10.1080/21642583.2024.2436664
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