Personalized Federated Learning using Hypernetworks [ICML 2021]

This is an official implementation of Personalized Federated Learning using Hypernetworks paper. [Link]

Installation

• Create a virtual environment with conda/virtualenv
• Clone the repo
• Run: cd <PATH_TO_THE_CLONED_REPO>
• Run: pip install -e . to install necessary packages and path links.

---

Reproduce Paper Results

---

PfedHN Results on CIFAR10

• Run: cd experiments/pfedhn
• Run: python trainer.py

---

PfedHN-PC Results on CIFAR10

• Run: cd experiments/pfedhn_pc
• Run: python trainer.py

Citation

If you find pFedHN to be useful in your own research, please consider citing the following paper:

@inproceedings{shamsian2021personalized,
  title={Personalized federated learning using hypernetworks},
  author={Shamsian, Aviv and Navon, Aviv and Fetaya, Ethan and Chechik, Gal},
  booktitle={International Conference on Machine Learning},
  pages={9489--9502},
  year={2021},
  organization={PMLR}
}