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...

Full description

Saved in:

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
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FedDL: personalized federated deep learning for enhanced detection and classification of diabetic retinopathy
by: Dasari Bhulakshmi, et al.
Published: (2024-12-01)

A Framework for Privacy-Preserving in IoV Using Federated Learning With Differential Privacy
by: Muhammad Adnan, et al.
Published: (2025-01-01)

FedSeq: Personalized Federated Learning via Sequential Layer Expansion in Representation Learning
by: Jae Won Jang, et al.
Published: (2024-12-01)

GenFedRL: a general federated reinforcement learning framework for deep reinforcement learning agents
by: Biao JIN, et al.
Published: (2023-06-01)

Research on federated learning approach based on local differential privacy
by: Haiyan KANG, et al.
Published: (2022-10-01)

Application of Artificial Intelligence for Classification, Segmentation, Early Detection, Early Diagnosis, and Grading of Diabetic Retinopathy From Fundus Retinal Images: A Comprehensive Review
by: G. Rajarajeshwari, et al.
Published: (2024-01-01)

Privacy-Preserving and Collaborative Federated Learning Model for the Detection of Ocular Diseases
by: Seema Gulati, et al.
Published: (2025-02-01)

Multi-Task Federated Split Learning Across Multi-Modal Data with Privacy Preservation
by: Yipeng Dong, et al.
Published: (2025-01-01)

Crowdsourced federated learning architecture with personalized privacy preservation
by: Yunfan Xu, et al.
Published: (2024-09-01)

Privacy Preserving Machine Learning With Federated Personalized Learning in Artificially Generated Environment
by: Md. Tanzib Hosain, et al.
Published: (2024-01-01)

CLDP-pFedAvg: Safeguarding Client Data Privacy in Personalized Federated Averaging
by: Wenquan Shen, et al.
Published: (2024-11-01)

FedRSC: A Federated Learning Analysis for Multi-Label Road Surface Classifications
by: Ioannis V. Vondikakis, et al.
Published: (2024-01-01)

Federated visualization:a new model for privacy-preserving visualization
by: Yating WEI, et al.
Published: (2019-12-01)

FedDB: A Federated Learning Approach Using DBSCAN for DDoS Attack Detection
by: Yi-Chen Lee, et al.
Published: (2024-11-01)

Privacy-preserving federated machine learning on FAIR health data: A real-world application
by: A. Anil Sinaci, et al.
Published: (2024-12-01)

A Collaborative Privacy Preserved Federated Learning Framework for Pneumonia Detection using Diverse Chest X-ray Data Silos
by: Shagun Sharma, et al.
Published: (2025-04-01)

Privacy-Preserving Detection of Tampered Radio-Frequency Transmissions Utilizing Federated Learning in LoRa Networks
by: Nurettin Selcuk Senol, et al.
Published: (2024-11-01)

Asynchronous Federated Learning Through Online Linear Regressions
by: Taiga Kashima, et al.
Published: (2024-01-01)

BPS-FL: Blockchain-Based Privacy-Preserving and Secure Federated Learning
by: Jianping Yu, et al.
Published: (2025-02-01)

Early Detection and Classification of Diabetic Retinopathy: A Deep Learning Approach
by: Mustafa Youldash, et al.
Published: (2024-11-01)

Privacy-preserving federated learning framework with irregular-majority users
by: Qianxin CHEN, et al.
Published: (2022-02-01)

Privacy-preserving federated learning framework with dynamic weight aggregation
by: Zuobin YING, et al.
Published: (2022-10-01)

A reliable and privacy-preserved federated learning framework for real-time smoking prediction in healthcare
by: Siddhesh Fuladi, et al.
Published: (2025-01-01)

Model split-based data privacy protection method for federated learning
by: CHEN Ka
Published: (2024-09-01)

Hierarchical Aggregation for Federated Learning in Heterogeneous IoT Scenarios: Enhancing Privacy and Communication Efficiency
by: Chen Qiu, et al.
Published: (2025-01-01)

Federated Learning with Privacy Preserving for Multi- Institutional Three-Dimensional Brain Tumor Segmentation
by: Mohammed Elbachir Yahiaoui, et al.
Published: (2024-12-01)

SortAlign: a score-based aggregation technique for neural networks in one-round federated learning
by: Antonio Nappa, et al.
Published: (2024-12-01)

A Privacy-Preserving Collaborative Federated Learning Framework for Detecting Retinal Diseases
by: Seema Gulati, et al.
Published: (2024-01-01)

Personalized Federated Learning Scheme for Autonomous Driving Based on Correlated Differential Privacy
by: Yuan Tian, et al.
Published: (2024-12-01)

Communication-efficient federated learning method via redundant data elimination
by: Kaiju LI, et al.
Published: (2023-05-01)

An automated privacy-preserving self-supervised classification of COVID-19 from lung CT scan images minimizing the requirements of large data annotation
by: Sadia Sultana Chowa, et al.
Published: (2025-01-01)

Advanced artificial intelligence with federated learning framework for privacy-preserving cyberthreat detection in IoT-assisted sustainable smart cities
by: Mahmoud Ragab, et al.
Published: (2025-02-01)

Privacy-Preserving Continual Federated Clustering via Adaptive Resonance Theory
by: Naoki Masuyama, et al.
Published: (2024-01-01)

High-performance federated continual learning algorithm for heterogeneous streaming data
by: Hui JIANG, et al.
Published: (2023-05-01)

Edge computing privacy protection method based on blockchain and federated learning
by: Chen FANG, et al.
Published: (2021-11-01)

Target informed client recruitment for efficient federated learning in healthcare
by: Vincent Scheltjens, et al.
Published: (2024-12-01)

FedCLCC: A personalized federated learning algorithm for edge cloud collaboration based on contrastive learning and conditional computing
by: Kangning Yin, et al.
Published: (2025-01-01)

Multimodal Federated Learning in AIoT Systems: Existing Solutions, Applications, and Challenges
by: Christos Anagnostopoulos, et al.
Published: (2024-01-01)

Decentralized Federated Learning with Prototype Exchange
by: Lu Qi, et al.
Published: (2025-01-01)

FedDrip: Federated Learning With Diffusion-Generated Synthetic Image
by: Karin Huangsuwan, et al.
Published: (2025-01-01)