Official code implementation for "Personalized Federated Learning using Hypernetworks"

Related tags

Deep LearningpFedHN
Overview

Personalized Federated Learning using Hypernetworks

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:

@article{shamsian2021personalized,
  title={Personalized Federated Learning using Hypernetworks},
  author={Shamsian, Aviv and Navon, Aviv and Fetaya, Ethan and Chechik, Gal},
  journal={arXiv preprint arXiv:2103.04628},
  year={2021}
}
Owner
Aviv Shamsian
Computer Vision Researcher
Aviv Shamsian
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