Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs

Saved in:
Bibliographic Details
Published in:ArXiv cs.CR Recent Papers
Format: Online Article RSS Article
Published: 2026
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1864946161669898246
collection WordPress RSS
FRELIP Feed Integration
container_title ArXiv cs.CR Recent Papers
description
discipline_display Engineering & Technology
discipline_facet Engineering & Technology
format Online Article
RSS Article
genre Journal Article
id rss_article:50734
institution FRELIP
journal_source_facet ArXiv cs.CR Recent Papers
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs
ArXiv cs.CR Recent Papers
Civil & Construction
Engineering & Technology
sub_discipline_display Civil & Construction
sub_discipline_facet Civil & Construction
subject_display ArXiv cs.CR Recent Papers
Civil & Construction
Engineering & Technology
ArXiv cs.CR Recent Papers
Civil & Construction
Engineering & Technology
subject_facet ArXiv cs.CR Recent Papers
Civil & Construction
Engineering & Technology
title Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs
title_auth Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs
title_full Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs
title_fullStr Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs
title_full_unstemmed Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs
title_short Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs
title_sort graph representation learning augmented model manipulation on federated fine-tuning of llms
topic ArXiv cs.CR Recent Papers
Civil & Construction
Engineering & Technology
url https://arxiv.org/abs/2605.07961v1