Open Access
Research Article·pp. 361–370·Vol. 27, Issue 2-AMar 2024
Enhanced security in federated learning by integrating homomorphic encryption for privacy-protected, collaborative model training
Ganga Rama Koteswara Rao, Hayder M. A. Ghanimi, V. Ramachandran, Dokhyl Al-Qahtani, Pankaj Dadheech, Sudhakar Sengan
Published Online: 06 Apr 2024DOI: 10.47974/JDMSC-1891
In this paper: A significant novel approach in distributed ML, Federated Learning (FL), enables multiple parties to work simultaneously on developing models while securing the confidentiality of their unique dataset...
