FedNorm: An Efficient Federated Learning Framework with Dual Heterogeneity Coexistence on Edge Intelligence Systems

Zirui Lian, Weihong Liu, Jing Cao, Zongwei Zhu, Xuehai Zhou. FedNorm: An Efficient Federated Learning Framework with Dual Heterogeneity Coexistence on Edge Intelligence Systems. In IEEE 40th International Conference on Computer Design, ICCD 2022, Olympic Valley, CA, USA, October 23-26, 2022. pages 619-626, IEEE, 2022. [doi]

@inproceedings{LianLCZZ22,
  title = {FedNorm: An Efficient Federated Learning Framework with Dual Heterogeneity Coexistence on Edge Intelligence Systems},
  author = {Zirui Lian and Weihong Liu and Jing Cao and Zongwei Zhu and Xuehai Zhou},
  year = {2022},
  doi = {10.1109/ICCD56317.2022.00096},
  url = {https://doi.org/10.1109/ICCD56317.2022.00096},
  researchr = {https://researchr.org/publication/LianLCZZ22},
  cites = {0},
  citedby = {0},
  pages = {619-626},
  booktitle = {IEEE 40th International Conference on Computer Design, ICCD 2022, Olympic Valley, CA, USA, October 23-26, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-6186-3},
}