{"id":"paper-cmc-2026-082782","type":"book","url":"https://diginpl.com/books/paper-cmc-2026-082782","language":"en","name":"GuardML: A Hybrid Homomorphic Encryption Framework for Privacy-Preserving Federated Deep Learning","name_en":"GuardML: A Hybrid Homomorphic Encryption Framework for Privacy-Preserving Federated Deep Learning","name_ne":null,"description":"Computers, Materials & Continua · Saadaldeen Rashid Ahmed, Fatima Abu Siryeh, Mohammed Shamar Yadkar et al. · 2026","headline":"Computers, Materials & Continua · Saadaldeen Rashid Ahmed, Fatima Abu Siryeh, Mohammed Shamar Yadkar et al. · 2026","also_known_as":[],"summary":"","summary_more":[],"facts":[{"key":"authors","label":"Author","values":[{"text":"Saadaldeen Rashid Ahmed"},{"text":"Fatima Abu Siryeh"},{"text":"Mohammed Shamar Yadkar"},{"text":"Oguz Bayat"},{"text":"Abu Saleh Musa Miah"},{"text":"Fahmid Al Farid"},{"text":"Hezerul Abdul Karim"}],"source":{"label":"Crossref","url":"https://doi.org/10.32604/cmc.2026.082782"}},{"key":"published","label":"Published","values":[{"text":"2026","date":"2026"}],"source":{"label":"Crossref","url":"https://doi.org/10.32604/cmc.2026.082782"}},{"key":"publisher","label":"Publisher","values":[{"text":"Tech Science Press"}],"source":{"label":"Crossref","url":"https://doi.org/10.32604/cmc.2026.082782"}},{"key":"journal","label":"Journal","values":[{"text":"Computers, Materials & Continua"}],"source":{"label":"Crossref","url":"https://doi.org/10.32604/cmc.2026.082782"}},{"key":"doi","label":"DOI","values":[{"text":"10.32604/cmc.2026.082782","url":"https://doi.org/10.32604/cmc.2026.082782"}],"source":{"label":"Crossref","url":"https://doi.org/10.32604/cmc.2026.082782"}}],"office":null,"sections":[],"cited":[],"cited_from":null,"videos":[],"last_reviewed":null,"organizations":[],"same_as":["https://doi.org/10.32604/cmc.2026.082782"],"faq":[{"q":"Who wrote GuardML: A Hybrid Homomorphic Encryption Framework for Privacy-Preserving Federated Deep Learning?","a":"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."},{"q":"When was GuardML: A Hybrid Homomorphic Encryption Framework for Privacy-Preserving Federated Deep Learning first published?","a":"GuardML: A Hybrid Homomorphic Encryption Framework for Privacy-Preserving Federated Deep Learning was first published in 2026."}],"related":[],"places_in":[],"nearby":[],"image":null,"sources":[{"label":"Publisher record (DOI, via Crossref)","url":"https://doi.org/10.32604/cmc.2026.082782","license":null}],"license":null,"attribution":"Open-access publication. Read it free at the publisher: https://doi.org/10.32604/cmc.2026.082782.","cite":"\"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.","date_modified":"2026-10-02T06:19:02Z","facts_checked":"2026-11-02","alternates":{"html":"https://diginpl.com/books/paper-cmc-2026-082782","en":"https://diginpl.com/books/paper-cmc-2026-082782","ne":null}}