tensorflow_privacy/research/dp_newton/README.md

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# Project Title
Faster Differentially Private Convex Optimization via Second-Order Methods
https://arxiv.org/abs/2112.03570 <br>
by Arun Ganesh, Mahdi Haghifam, Thomas Steinke, Abhradeep Thakurta.
## Description
Implementation of the optimizatoin algorithms proposed in
https://arxiv.org/abs/2112.03570 <br>
## Getting Started
You will need to install fairly standard dependencies
run 'run_privacy_utility' to compare the convergence speed and excess loss of
different algorithms.
### Citation
You can cite this paper with
```
@article{ganesh2023faster,
title={Faster Differentially Private Convex Optimization
via Second-Order Methods},
author={Ganesh, Arun and Haghifam, Mahdi and Steinke, Thomas
and Thakurta, Abhradeep},
journal={arXiv preprint arXiv:2305.13209},
year={2023}
}
```