most citedFLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations

4 citations · 6 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CR2024★ 2 cited

Moderator: Moderating Text-to-Image Diffusion Models through Fine-grained Context-based Policies

Peiran Wang, Qiyu Li, Longxuan Yu +3

We present Moderator, a policy-based model management system that allows administrators to specify fine-grained content moderation policies and modify the weights of a text-to-imag…

cs.LG2024★ 4 cited

FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations

Ziyao Wang, Zheyu Shen, Yexiao He +4

The rapid development of Large Language Models (LLMs) has been pivotal in advancing AI, with pre-trained LLMs being adaptable to diverse downstream tasks through fine-tuning. Feder…