Towards Mitigating Device Heterogeneity in Federated Learning via Adaptive Model Quantization

Ahmed M. Abdelmoniem, Marco Canini. Towards Mitigating Device Heterogeneity in Federated Learning via Adaptive Model Quantization. In Eiko Yoneki, Paul Patras, editors, EuroMLSys@EuroSys 2021, Proceedings of the 1st Workshop on Machine Learning and Systemsg Virtual Event, Edinburgh, Scotland, UK, 26 April, 2021. pages 96-103, ACM, 2021. [doi]

@inproceedings{AbdelmoniemC21,
  title = {Towards Mitigating Device Heterogeneity in Federated Learning via Adaptive Model Quantization},
  author = {Ahmed M. Abdelmoniem and Marco Canini},
  year = {2021},
  doi = {10.1145/3437984.3458839},
  url = {https://doi.org/10.1145/3437984.3458839},
  researchr = {https://researchr.org/publication/AbdelmoniemC21},
  cites = {0},
  citedby = {0},
  pages = {96-103},
  booktitle = {EuroMLSys@EuroSys 2021, Proceedings of the 1st Workshop on Machine Learning and Systemsg Virtual Event, Edinburgh, Scotland, UK, 26 April, 2021},
  editor = {Eiko Yoneki and Paul Patras},
  publisher = {ACM},
  isbn = {978-1-4503-8298-4},
}