FedLoRA: When Personalized Federated Learning Meets Low-Rank Adaptation

[PDF] arxiv.org

FDLoRA: Personalized Federated Learning of Large Language Model via Dual LoRA Tuning

J Qi, Z Luan, S Huang, C Fung, H Yang… - arXiv preprint arXiv …, 2024 - arxiv.org
Large language models (LLMs) have emerged as important components across various
fields, yet their training requires substantial computation resources and abundant labeled …
被引用次数：2 相关文章 所有 2 个版本
[PDF] arxiv.org

Flora: Enhancing vision-language models with parameter-efficient federated learning

DP Nguyen, JP Munoz, A Jannesari - arXiv preprint arXiv:2404.15182, 2024 - arxiv.org
In the rapidly evolving field of artificial intelligence, multimodal models, eg, integrating vision
and language into visual-language models (VLMs), have become pivotal for many …
被引用次数：2 相关文章 所有 2 个版本