Enhanced security in federated learning by integrating homomorphic encryption for privacy-protected, collaborative model training
Ganga Rama Koteswara Raogrkraoganga@gmail.comDepartment of Computer Science & Information Technology Koneru Lakshmaiah Education FoundationVaddeswaram, Andhra Pradesh, 522302, IndiaView full profile → , *Hayder M. A. GhanimiCorresponding authorhayder.alghanami@uowa.edu.iqDepartment of Information Technology College of Science University of Warith Al-Anbiyaa; Department of Computer Science College of Computer Science and Information Technology University of KerbalaDepartment of Information Technology College of Science University of Warith Al-AnbiyaaKarbala, 5751, IraqView full profile → , V. Ramachandranramachandran.veer@gmail.comDepartment of Computer Science and Engineering GITAM School of Computing GITAM (Deemed to be University)Department of Computer Science and Engineering GITAM School of Computing GITAM Deemed to be UniversityBengaluru, Karnataka, 561203, IndiaView full profile → , Dokhyl Al-Qahtanidm.alqahtani@psau.edu.saDepartment of Electrical Engineering College of Engineering Prince Sattam bin Abdulaziz UniversityAl-Kharj, 11942, Saudi ArabiaView full profile → , Pankaj Dadheechpankajdadheech777@gmail.comDepartment of Computer Science & Engineering Swami Keshvanand Institute of Technology, Management & Gramothan (SKIT)Department of Computer Science & Engineering Swami Keshvanand Institute of Technology, Management & GramothanJaipur, Rajasthan, 302017, IndiaView full profile → , Sudhakar Sengansudhasengan@gmail.comDepartment of Computer Science and Engineering PSN College of Engineering and TechnologyTirunelveli, Tamil Nadu, 627152, IndiaView full profile →
* Corresponding author · click or hover a name for details
- Published Online:
- 06 Apr 2024
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JDMSC-1891
- Pages:
- 361–370
Abstract
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References
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[8] A. Pedrouzo-Ulloa et al., Practical Multi-Key Homomorphic Encryption for More Flexible and Efficient Secure Federated Average Aggregation,” IEEE International Conference on Cyber Security and Resilience, Venice, Italy, pp. 612-617 (2023).
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