Differentially Private Zeroth-Order Methods for Scalable Large Language Model Finetuning

no code implementations • 12 Feb 2024 • Z Liu, J Lou, W Bao, Y Hu, B Li, Z Qin, K Ren

Due to the popularity of LLMs fine-tuning and its accompanying privacy concerns, differentially private (DP) fine-tuning of pretrained LLMs has been widely used to safeguarding the privacy of task-specific datasets.

Language Modelling Large Language Model

Shape retrieval of non-rigid 3d human models

no code implementations • 1 Mar 2020 • David Pickup, Xianfang Sun, Paul L. Rosin, Ralph R. Martin, Z Cheng, Zhouhui Lian, Masaki Aono, A. Ben Hamza, A Bronstein, M Bronstein, S Bu, Umberto Castellani, S Cheng, Valeria Garro, Andrea Giachetti, Afzal Godil, Luca Isaia, J. Han, Henry Johan, L Lai, Bo Li, C. Li, Haisheng Li, Roee Litman, X. Liu, Z Liu, Yijuan Lu, L. Sun, G Tam, Atsushi Tatsuma, J. Ye

In addition, further participants have also taken part, and we provide extra analysis of the retrieval results.

3D Shape Classification 3D Shape Retrieval +1