On User-Level Private Convex Optimization

8 May 2023

Papers citing "On User-Level Private Convex Optimization"

8 / 8 papers shown

Title
Faster Algorithms for User-Level Private Stochastic Convex Optimization Andrew Lowy Daogao Liu Hilal Asi 53 1 0 24 Oct 2024
Better Locally Private Sparse Estimation Given Multiple Samples Per User Yuheng Ma Ke Jia Hanfang Yang FedML 85 1 0 08 Aug 2024
Fine-Tuning Large Language Models with User-Level Differential Privacy Zachary Charles Arun Ganesh Ryan McKenna H. B. McMahan Nicole Mitchell Krishna Pillutla Keith Rush 83 14 0 10 Jul 2024
Generalizability of experimental studies Federico Matteucci Vadim Arzamasov Jose Cribeiro-Ramallo Marco Heyden Konstantin Ntounas Klemens Bohm 104 0 0 25 Jun 2024
Mind the Privacy Unit! User-Level Differential Privacy for Language Model Fine-Tuning Lynn Chua Badih Ghazi Yangsibo Huang Pritish Kamath Ravi Kumar Daogao Liu Pasin Manurangsi Amer Sinha Chiyuan Zhang 104 14 0 20 Jun 2024
User-level Differentially Private Stochastic Convex Optimization: Efficient Algorithms with Optimal Rates Hilal Asi Daogao Liu 69 11 0 07 Nov 2023
User-Level Differential Privacy With Few Examples Per User Badih Ghazi Pritish Kamath Ravi Kumar Pasin Manurangsi Raghu Meka Chiyuan Zhang 89 12 0 21 Sep 2023
Learning across Data Owners with Joint Differential Privacy Yangsibo Huang Haotian Jiang Daogao Liu Mohammad Mahdian Jieming Mao Vahab Mirrokni FedML 75 0 0 25 May 2023