GuardML: A Hybrid Homomorphic Encryption Framework for Privacy-Preserving Federated Deep Learning

Quick facts

Author

Saadaldeen Rashid Ahmed, Fatima Abu Siryeh, Mohammed Shamar Yadkar, Oguz Bayat, Abu Saleh Musa Miah, Fahmid Al Farid, Hezerul Abdul Karim ref

Published

2026 ref

Publisher

Tech Science Press ref

Journal

Computers, Materials & Continua ref

DOI

10.32604/cmc.2026.082782 ref

Questions

Who wrote GuardML: A Hybrid Homomorphic Encryption Framework for Privacy-Preserving Federated Deep Learning?

GuardML: A Hybrid Homomorphic Encryption Framework for Privacy-Preserving Federated Deep Learning was written by Saadaldeen Rashid Ahmed, Fatima Abu Siryeh, Mohammed Shamar Yadkar, Oguz Bayat.

When was GuardML: A Hybrid Homomorphic Encryption Framework for Privacy-Preserving Federated Deep Learning first published?

GuardML: A Hybrid Homomorphic Encryption Framework for Privacy-Preserving Federated Deep Learning was first published in 2026.

Sources

1. Publisher record (DOI, via Crossref)

Last updated 2 October 2026 · facts checked 2 November 2026

Cite this page

"GuardML: A Hybrid Homomorphic Encryption Framework for Privacy-Preserving Federated Deep Learning". DigiNepal. Last updated 2 October 2026. https://diginpl.com/books/paper-cmc-2026-082782. Retrieved 14 November 2026.

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