Privacy-Preserving and Collaborative Federated Learning Model for the Detection of Ocular Diseases

Privacy-Preserving and Collaborative Federated Learning Model for the Detection of Ocular Diseases

Ocular diseases significantly impact the health of the public globally. According to the World Health Organization (WHO) reports, at least 1 billion people suffer from near or distance vision impairment that could have been prevented or has yet to be addressed. These conditions cause difficulty in l...

Full description

Saved in:

Bibliographic Details
Main Authors:	Seema Gulati, Kalpna Guleria, Nitin Goyal
Format:	Article
Language:	English
Published:	Ram Arti Publishers 2025-02-01
Series:	International Journal of Mathematical, Engineering and Management Sciences
Subjects:	machine learning preserving privacy federated deep learning ocular disease mobilenetv2
Online Access:	https://www.ijmems.in/cms/storage/app/public/uploads/volumes/13-IJMEMS-24-0421-10-1-218-248-2025.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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)

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)

Federated learning with differential privacy via fast Fourier transform for tighter-efficient combining
by: Shengnan Guo, 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)

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)

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

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

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

A Framework for Privacy-Preserving in IoV Using Federated Learning With Differential Privacy
by: Muhammad Adnan, 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)

Cloud–Edge–End Collaborative Federated Learning: Enhancing Model Accuracy and Privacy in Non-IID Environments
by: Ling Li, et al.
Published: (2024-12-01)

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

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

FFDL: Feature Fusion-Based Deep Learning Method Utilizing Federated Learning for Forged Face Detection
by: Vinay Gautam, et al.
Published: (2025-01-01)

A survey on federated learning in crowd intelligence
by: Qiang YANG, et al.
Published: (2022-03-01)

Research on privacy-preserving learning machines
by: Yi-zhang JIANG, et al.
Published: (2016-06-01)

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

SecureIoT-FL: A Federated Learning Framework for Privacy-Preserving Real-Time Environmental Monitoring in Industrial IoT Applications
by: Montaser N.A. Ramadan, et al.
Published: (2025-02-01)

A privacy-enhanced framework with deep learning for botnet detection
by: Guangli Wu, et al.
Published: (2025-01-01)

A deep decentralized privacy-preservation framework for online social networks
by: Samuel Akwasi Frimpong, et al.
Published: (2024-12-01)

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

Privacy-Preserving Techniques in Generative AI and Large Language Models: A Narrative Review
by: Georgios Feretzakis, et al.
Published: (2024-11-01)

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

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)

Privacy-preserving detection and classification of diabetic retinopathy using federated learning with FedDEO optimization
by: Dasari Bhulakshmi, et al.
Published: (2024-12-01)

Federated learning and non-federated learning based power forecasting of photovoltaic/wind power energy systems: A systematic review
by: Ferial ElRobrini, et al.
Published: (2024-12-01)

Federated Deep Learning Model for False Data Injection Attack Detection in Cyber Physical Power Systems
by: Firdous Kausar, et al.
Published: (2024-10-01)

Optimizing intelligent residential scheduling based on policy black box and adaptive clustering federated deep reinforcement learning
by: Wei Zhang, et al.
Published: (2025-02-01)

Efficient secure federated learning aggregation framework based on homomorphic encryption
by: Shengxing YU, et al.
Published: (2023-01-01)

BalancedSecAgg: Toward Fast Secure Aggregation for Federated Learning
by: Hiroki Masuda, et al.
Published: (2024-01-01)

Design of an improved model using federated learning and LSTM autoencoders for secure and transparent blockchain network transactions
by: R. Vijay Anand, et al.
Published: (2025-01-01)

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

Privacy self-correlation privacy-preserving scheme in LBS
by: Weihao LI, et al.
Published: (2019-05-01)

Federated edge learning model based on multi-level proxy permissioned blockchain
by: GE Li’na, et al.
Published: (2024-04-01)

Study on privacy preserving encrypted traffic detection
by: Xinyu ZHANG, et al.
Published: (2021-08-01)

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

Privacy preserving approach based on proximity privacy for numerical sensitive attributes
by: Jing XIE, et al.
Published: (2015-04-01)

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