Healthcare Privacy-Preserving Federated Transfer Learning using CKKS-Based Homomorphic Encryption and PYHFEL Tool

Healthcare Privacy-Preserving Federated Transfer Learning using CKKS-Based Homomorphic Encryption and PYHFEL Tool

 Digitization of healthcare data has shown an urgent necessity to deal with privacy concerns within the field of deep learning for healthcare organizations. A promising approach is federated transfer learning, enabling medical institutions to train deep learning models collaboratively through shari...

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Bibliographic Details
Main Authors: Anmar A. Al-Janabi, Sufyan T. Faraj Al-Janabi, Belal Al-Khateeb
Format: Article
Language:English
Published: College of Education, Al-Iraqia University 2024-08-01
Series:Iraqi Journal for Computer Science and Mathematics
Subjects:
Electrocardiogram
Federated transfer learning
Homomorphic encryption
CKKS scheme
Data privacy
Online Access:http://journal.esj.edu.iq/index.php/IJCM/article/view/1362

Internet

http://journal.esj.edu.iq/index.php/IJCM/article/view/1362

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