PrivateLoRA For Efficient Privacy Preserving LLM

PrivateLoRA For Efficient Privacy Preserving LLM

23 November 2023

Papers citing "PrivateLoRA For Efficient Privacy Preserving LLM"

10 / 10 papers shown

Title
Private LoRA Fine-tuning of Open-Source LLMs with Homomorphic Encryption Jordan Fréry Roman Bredehoft Jakub Klemsa Arthur Meyre Andrei Stoian 9 0 0 12 May 2025
Federated Instruction Tuning of LLMs with Domain Coverage Augmentation Zezhou Wang Yaxin Du Zhuzhong Qian Yugang Jiang Zhuzhong Qian Siheng Chen FedML 30 0 0 30 Sep 2024
Unveiling the Vulnerability of Private Fine-Tuning in Split-Based Frameworks for Large Language Models: A Bidirectionally Enhanced Attack Guanzhong Chen Zhenghan Qin Mingxin Yang Yajie Zhou Tao Fan Tianyu Du Zenglin Xu AAML 30 0 0 02 Sep 2024
On-Device Language Models: A Comprehensive Review Jiajun Xu Zhiyuan Li Wei Chen Qun Wang Xin Gao Qi Cai Ziyuan Ling 24 24 0 26 Aug 2024
A Survey on LoRA of Large Language Models Yuren Mao Yuhang Ge Yijiang Fan Wenyi Xu Yu Mi Zhonghao Hu Yunjun Gao ALM 52 22 0 08 Jul 2024
PerLLM: Personalized Inference Scheduling with Edge-Cloud Collaboration for Diverse LLM Services Zheming Yang Yuanhao Yang Chang Zhao Qi Guo Wenkai He Wen Ji 23 13 0 23 May 2024
EdgeShard: Efficient LLM Inference via Collaborative Edge Computing Mingjin Zhang Jiannong Cao Xiaoming Shen Zeyang Cui 23 45 0 23 May 2024
On Protecting the Data Privacy of Large Language Models (LLMs): A Survey Biwei Yan Kun Li Minghui Xu Yueyan Dong Yue Zhang Zhaochun Ren Xiuzhen Cheng AILaw PILM 70 70 0 08 Mar 2024
Grounding Foundation Models through Federated Transfer Learning: A General Framework Yan Kang Tao Fan Hanlin Gu Xiaojin Zhang Lixin Fan Qiang Yang AI4CE 59 19 0 29 Nov 2023
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 2022