Offsite-Tuning: Transfer Learning without Full Model

Offsite-Tuning: Transfer Learning without Full Model

9 February 2023

Song Han

Papers citing "Offsite-Tuning: Transfer Learning without Full Model"

17 / 17 papers shown

Title
FedTDP: A Privacy-Preserving and Unified Framework for Trajectory Data Preparation via Federated Learning Zhihao Zeng Ziquan Fang Wei Shao Lu Chen Yunjun Gao FedML 49 0 0 08 May 2025
ReCIT: Reconstructing Full Private Data from Gradient in Parameter-Efficient Fine-Tuning of Large Language Models Jin Xie Ruishi He Songze Li Xiaojun Jia Shouling Ji SILM AAML 63 0 0 29 Apr 2025
Split Adaptation for Pre-trained Vision Transformers Lixu Wang Bingqi Shang Y. Li Payal Mohapatra Wei Dong Xiao-Xu Wang Qi Zhu ViT 43 0 0 01 Mar 2025
Ten Challenging Problems in Federated Foundation Models Tao Fan Hanlin Gu Xuemei Cao Chee Seng Chan Qian Chen ... Y. Zhang Xiaojin Zhang Zhenzhe Zheng Lixin Fan Qiang Yang FedML 73 4 0 14 Feb 2025
Navigating the Designs of Privacy-Preserving Fine-tuning for Large Language Models Haonan Shi Tu Ouyang An Wang 31 0 0 08 Jan 2025
Privacy in Fine-tuning Large Language Models: Attacks, Defenses, and Future Directions Hao Du Shang Liu Lele Zheng Yang Cao Atsuyoshi Nakamura Lei Chen AAML 109 3 0 21 Dec 2024
Functional-level Uncertainty Quantification for Calibrated Fine-tuning on LLMs Ruijia Niu D. Wu Rose Yu Yi-An Ma 18 1 0 09 Oct 2024
Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion Guanchu Wang Yu-Neng Chuang Ruixiang Tang Shaochen Zhong Jiayi Yuan ... Zirui Liu V. Chaudhary Shuai Xu James Caverlee Xia Hu PILM 68 1 0 06 Oct 2024
ObfuscaTune: Obfuscated Offsite Fine-tuning and Inference of Proprietary LLMs on Private Datasets Ahmed Frikha Nassim Walha Ricardo Mendes K. K. Nakka Xue Jiang Xuebing Zhou 63 2 0 03 Jul 2024
Save It All: Enabling Full Parameter Tuning for Federated Large Language Models via Cycle Block Gradient Descent Lin Wang Zhichao Wang Xiaoying Tang 29 1 0 17 Jun 2024
Light-PEFT: Lightening Parameter-Efficient Fine-Tuning via Early Pruning Naibin Gu Peng Fu Xiyu Liu Bowen Shen Zheng-Shen Lin Weiping Wang 30 6 0 06 Jun 2024
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer Junyuan Hong Jiachen T. Wang Chenhui Zhang Zhangheng Li Bo-wen Li Zhangyang Wang 31 29 0 27 Nov 2023
A Recent Survey of Heterogeneous Transfer Learning Runxue Bao Yiming Sun Yuhe Gao Jindong Wang Qiang Yang Zhi-Hong Mao Ye Ye 17 4 0 12 Oct 2023
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions Weiming Zhuang Chen Chen Lingjuan Lyu C. L. P. Chen Yaochu Jin Lingjuan Lyu AIFin AI4CE 86 85 0 27 Jun 2023
DC-CCL: Device-Cloud Collaborative Controlled Learning for Large Vision Models Yucheng Ding Chaoyue Niu Fan Wu Shaojie Tang Chengfei Lyu Guihai Chen 8 6 0 18 Mar 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 303 11,730 0 04 Mar 2022
Lifted Neural Networks Armin Askari Geoffrey Negiar Rajiv Sambharya L. Ghaoui 21 36 0 03 May 2018