2024 "differentially private optimization" Papers

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DPZero: Private Fine-Tuning of Language Models without Backpropagation

Liang Zhang, Bingcong Li, Kiran Thekumparampil et al.

ICML 2024poster

How to Make the Gradients Small Privately: Improved Rates for Differentially Private Non-Convex Optimization

Andrew Lowy, Jonathan Ullman, Stephen Wright

ICML 2024poster

Improved Differentially Private and Lazy Online Convex Optimization: Lower Regret without Smoothness Requirements

Naman Agarwal, Satyen Kale, Karan Singh et al.

ICML 2024poster