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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          | Main Authors: | , | 
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| Format: | Article | 
| Language: | English | 
| Published: | Taylor & Francis Group
    
        2024-12-01 | 
| Series: | Systems Science & Control Engineering | 
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/21642583.2024.2436664 | 
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