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FEDMAD: A Privacy-Preserving Adaptive Federated Learning Framework with Robustness against Data Quality Variations

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Bibliographic Details
Published in:International Journal of Computer Network and Information Security
Format: Online Article RSS Article
Published: 2026
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container_title International Journal of Computer Network and Information Security
description
discipline_display Computer and Cyber Security
discipline_facet Computer and Cyber Security
format Online Article
RSS Article
genre Journal Article
id rss_article:77506
institution FRELIP
journal_source_facet International Journal of Computer Network and Information Security
last_indexed 2026-06-20T21:39:40.457Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle FEDMAD: A Privacy-Preserving Adaptive Federated Learning Framework with Robustness against Data Quality Variations
Computer and Cyber Security
General
Computer and Cyber Security
sub_discipline_display General
sub_discipline_facet General
subject_display Computer and Cyber Security
General
Computer and Cyber Security
subject_facet Computer and Cyber Security
General
Computer and Cyber Security
title FEDMAD: A Privacy-Preserving Adaptive Federated Learning Framework with Robustness against Data Quality Variations
title_alt FEDMAD: Un marco de aprendizaje federado adaptativo con preservación de privacidad y robustez contra variaciones en la calidad de los datos
FEDMAD : un cadre d'apprentissage fédéré adaptatif préservant la confidentialité avec robustesse contre les variations de qualité des données
FEDMAD: Uma Estrutura de Aprendizagem Federada Adaptativa com Preservação de Privacidade e Robustez contra Variações na Qualidade dos Dados
title_auth FEDMAD: A Privacy-Preserving Adaptive Federated Learning Framework with Robustness against Data Quality Variations
title_es_txt FEDMAD: Un marco de aprendizaje federado adaptativo con preservación de privacidad y robustez contra variaciones en la calidad de los datos
title_fr_txt FEDMAD : un cadre d'apprentissage fédéré adaptatif préservant la confidentialité avec robustesse contre les variations de qualité des données
title_full FEDMAD: A Privacy-Preserving Adaptive Federated Learning Framework with Robustness against Data Quality Variations
title_fullStr FEDMAD: A Privacy-Preserving Adaptive Federated Learning Framework with Robustness against Data Quality Variations
title_full_unstemmed FEDMAD: A Privacy-Preserving Adaptive Federated Learning Framework with Robustness against Data Quality Variations
title_pt_txt FEDMAD: Uma Estrutura de Aprendizagem Federada Adaptativa com Preservação de Privacidade e Robustez contra Variações na Qualidade dos Dados
title_short FEDMAD: A Privacy-Preserving Adaptive Federated Learning Framework with Robustness against Data Quality Variations
title_sort fedmad: a privacy-preserving adaptive federated learning framework with robustness against data quality variations
topic Computer and Cyber Security
General
Computer and Cyber Security
url https://www.mecs-press.org/ijcnis/ijcnis-v18-n3/v18n3-2.html