This repository is adapted from mvae to embed single-cell data into mixed-curvature spaces. The embedded data can be later on used for Federated Learning applications.
The required packages are listed in environment.yml.
Please see the shell files such as run_sc.sh for more details.
Please contact Chao Pan ([email protected]) and Saurav Prakash ([email protected]) if you have any questions.
Please consider citing our paper and the original mvae paper if you find our repository useful!
@article{
prakash2023federated,
title={Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex Hulls},
author={Prakash, Saurav and Sima, Jin and Pan, Chao and Chien, Eli and Milenkovic, Olgica},
journal={arXiv preprint arXiv:2308.06895},
year={2023},
url={https://arxiv.org/abs/2308.06895}
}
@inproceedings{
Skopek2020Mixed-curvature,
title={Mixed-curvature Variational Autoencoders},
author={Ondrej Skopek and Octavian-Eugen Ganea and Gary Bécigneul},
booktitle={International Conference on Learning Representations},
year={2020},
url={https://openreview.net/forum?id=S1g6xeSKDS}
}