CG-FedLLM: How to Compress Gradients in Federated Fune-tuning for Large Language Models

Fuente: arXiv

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Bibliographic Details
Main Authors:	Wu, Huiwen, Xu, Xiaogang, Zhang, Deyi, Li, Xiaohan, Wu, Jiafei, Liu, Zhe
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Distributed, Parallel, and Cluster Computing
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2405.13746