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Federated Split Learning for Large Language Models With RSMA

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Published in:IET Communications
Format: Online Article RSS Article
Published: 2026
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container_title IET Communications
description
discipline_display Arts & Humanities
discipline_facet Arts & Humanities
format Online Article
RSS Article
genre Journal Article
id rss_article:32430
institution FRELIP
journal_source_facet IET Communications
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Federated Split Learning for Large Language Models With RSMA
— — — — — Communications
Communication & Media
Arts & Humanities
sub_discipline_display Communication & Media
sub_discipline_facet Communication & Media
subject_display — — — — — Communications
Communication & Media
Arts & Humanities
— — — — — Communications
Communication & Media
Arts & Humanities
subject_facet — — — — — Communications
Communication & Media
Arts & Humanities
title Federated Split Learning for Large Language Models With RSMA
title_auth Federated Split Learning for Large Language Models With RSMA
title_full Federated Split Learning for Large Language Models With RSMA
title_fullStr Federated Split Learning for Large Language Models With RSMA
title_full_unstemmed Federated Split Learning for Large Language Models With RSMA
title_short Federated Split Learning for Large Language Models With RSMA
title_sort federated split learning for large language models with rsma
topic — — — — — Communications
Communication & Media
Arts & Humanities
url https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/cmu2.70152?af=R