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An adaptive multi-teacher-student knowledge distillation framework for scalable cloud–edge multimodal learning

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Published in:Journal of Cloud Computing : Advances, Systems and Applications
Format: Online Article RSS Article
Published: 2026
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container_title Journal of Cloud Computing : Advances, Systems and Applications
description
discipline_display Computer Science
discipline_facet Computer Science
format Online Article
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genre Journal Article
id rss_article:93378
institution FRELIP
journal_source_facet Journal of Cloud Computing : Advances, Systems and Applications
last_indexed 2026-06-20T21:45:41.950Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle An adaptive multi-teacher-student knowledge distillation framework for scalable cloud–edge multimodal learning
Computer Science
General
Computer Science
sub_discipline_display General
sub_discipline_facet General
subject_display Computer Science
General
Computer Science
subject_facet Computer Science
General
Computer Science
title An adaptive multi-teacher-student knowledge distillation framework for scalable cloud–edge multimodal learning
title_alt Un marco adaptativo de destilación de conocimiento multi-maestro-estudiante para aprendizaje multimodal escalable en la nube y el borde
Un cadre adaptatif de distillation de connaissances multi-enseignant-étudiant pour l'apprentissage multimodal cloud-edge évolutif
Um framework adaptativo de destilação de conhecimento multi-professor-aluno para aprendizado multimodal escalável em nuvem-borda
title_auth An adaptive multi-teacher-student knowledge distillation framework for scalable cloud–edge multimodal learning
title_es_txt Un marco adaptativo de destilación de conocimiento multi-maestro-estudiante para aprendizaje multimodal escalable en la nube y el borde
title_fr_txt Un cadre adaptatif de distillation de connaissances multi-enseignant-étudiant pour l'apprentissage multimodal cloud-edge évolutif
title_full An adaptive multi-teacher-student knowledge distillation framework for scalable cloud–edge multimodal learning
title_fullStr An adaptive multi-teacher-student knowledge distillation framework for scalable cloud–edge multimodal learning
title_full_unstemmed An adaptive multi-teacher-student knowledge distillation framework for scalable cloud–edge multimodal learning
title_pt_txt Um framework adaptativo de destilação de conhecimento multi-professor-aluno para aprendizado multimodal escalável em nuvem-borda
title_short An adaptive multi-teacher-student knowledge distillation framework for scalable cloud–edge multimodal learning
title_sort an adaptive multi-teacher-student knowledge distillation framework for scalable cloud–edge multimodal learning
topic Computer Science
General
Computer Science
url https://link.springer.com/article/10.1186/s13677-026-00935-0