Federated Classification in Hyperbolic Spaces

An efficient method for federated classification in hyperbolic spaces, as introduced in our paper:

• [TMLR 2024] Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex Hulls

For the single-cell embeddings used in our paper, please refer to sc-mvae.

Example Usage

Please see the shell files for more details.

Contact

Please contact Saurav Prakash (sauravp2@illinois.edu) and Chao Pan (chaopan2@illinois.edu) if you have any questions.

Citation

Please consider citing our paper if you find our repository useful!

@article{
prakash2024_hyperbolic_fl,
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={Transactions on Machine Learning Research},
year={2023},
url={https://openreview.net/forum?id=umggDfMHha}
}

This repository also uses the Poincare-SVM algorithm from our previous paper

@article{pan2023provably,
  title={Provably accurate and scalable linear classifiers in hyperbolic spaces},
  author={Pan, Chao and Chien, Eli and Tabaghi, Puoya and Peng, Jianhao and Milenkovic, Olgica},
  journal={Knowledge and Information Systems},
  pages={1--34},
  year={2023},
  publisher={Springer}
}

@inproceedings{chien2021highly,
  title={Highly Scalable and Provably Accurate Classification in Poincar{\'e} Balls},
  author={Chien, Eli and Pan, Chao and Tabaghi, Puoya and Milenkovic, Olgica},
  booktitle={2021 IEEE International Conference on Data Mining (ICDM)},
  pages={61--70},
  year={2021},
  organization={IEEE}
}