# soteriafl

**Repository Path**: lidaishu/soteriafl

## Basic Information

- **Project Name**: soteriafl
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-01-22
- **Last Updated**: 2024-01-22

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Numerical experiments for SoteriaFL

This repo contains numerical experiments code for "SoteriaFL: A Unified Framework for Private Federated Learning with Communication Compression" [[PDF]](https://arxiv.org/pdf/2206.09888.pdf).

Files:

- `optimizers.py`: optimization algorithms.

- `SoteriaFL_a9a.ipynb`: numerical experiments on the `a9a` dataset.

- `SoteriaFL_NN.ipynb`: numerical experiments on the `MNIST` dataset.

Dependency:
Please install [[this package]](https://github.com/liboyue/Network-Distributed-Algorithm)

If you find this repo useful, please cite our paper
```
@article{li2022soteriafl,
  title={{SoteriaFL}: A unified framework for private federated learning with communication compression},
  author={Li, Zhize and Zhao, Haoyu and Li, Boyue and Chi, Yuejie},
  journal={Advances in Neural Information Processing Systems},
  volume = {35},
  year={2022}
}
```