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Source code for the paper "FedLess: Secure and Scalable Federated Learning Using Serverless Computing" (IEEE BigData 2021)

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andreas-grafberger/fedless

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FedLess

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This is the source code for the paper "FedLess: Secure and Scalable Federated Learning Using Serverless Computing", presented at IEEE BigData 2021. The preprint can be found on arXiv.

Installation

Requires Python >= 3.7

# (Optional) Create and activate virtual environment
virtualenv .venv
source .venv/bin/activate

# Install development dependencies
pip install ".[dev]"

# Run unit and integration tests
pytest && pytest -m integ

Citation

If you use this software, please cite it as below:

@inproceedings{grafberger2021fedless,
  author    = {Grafberger, Andreas and Chadha, Mohak and Jindal, Anshul and Gu, Jianfeng and Gerndt, Michael},
  booktitle = {2021 IEEE International Conference on Big Data (Big Data)},
  title     = {FedLess: Secure and Scalable Federated Learning Using Serverless Computing},
  year      = {2021},
  volume    = {},
  number    = {},
  pages     = {164-173},
  doi       = {10.1109/BigData52589.2021.9672067}
}

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Source code for the paper "FedLess: Secure and Scalable Federated Learning Using Serverless Computing" (IEEE BigData 2021)

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