# Learning to Generate Image Embeddings with User-level Differential Privacy

## Overview

Work in progress code releasing for "Learning to Generate Image Embeddings with
User-level Differential Privacy".

## Requirements

This code is implemented with
[TensorFlow Federated](https://www.tensorflow.org/federated). See
[Using TFF for Federated Learning Research](https://www.tensorflow.org/federated/tff_for_research)
for more instructions on using TensorFlow Federated for research.

The following packages may need to be installed

<!-- mdformat off (multiple lines of small code piece) -->

```bash
absl-py>=1.0,==1.*
dp-accounting==0.3.0
tensorflow-privacy==0.8.6
tensorflow-federated~=0.40.0
tensorflow~=2.10.0
```

<!-- mdformat on -->

## Example usage

## Citation

```
@misc{xu2022learning,
  title={Learning to Generate Image Embeddings with User-level Differential Privacy},
  author={Xu, Zheng and Collins, Maxwell and Wang, Yuxiao and Panait, Liviu and Oh, Sewoong and Augenstein, Sean and Liu, Ting and Schroff, Florian and McMahan, H. Brendan},
  year={2022}
}
```

Create a folder for releasing the code for project "Learning to Generate Image Embeddings with User-level Differential Privacy"."
Create a folder for releasing the code for project "Learning to Generate Image Embeddings with User-level Differential Privacy"."

PiperOrigin-RevId: 489577849
Change-Id: I1b3b0213ada29b6d925b12256f6d3b6ab0edff47
