FedLGA: Toward System-Heterogeneity of Federated Learning via Local Gradient Approximation

Xingyu Li, Zhe Qu, Bo Tang 0011, Zhuo Lu. FedLGA: Toward System-Heterogeneity of Federated Learning via Local Gradient Approximation. IEEE T. Cybernetics, 54(1):401-414, January 2024. [doi]

@article{LiQTL24,
  title = {FedLGA: Toward System-Heterogeneity of Federated Learning via Local Gradient Approximation},
  author = {Xingyu Li and Zhe Qu and Bo Tang 0011 and Zhuo Lu},
  year = {2024},
  month = {January},
  doi = {10.1109/TCYB.2023.3247365},
  url = {https://doi.org/10.1109/TCYB.2023.3247365},
  researchr = {https://researchr.org/publication/LiQTL24},
  cites = {0},
  citedby = {0},
  journal = {IEEE T. Cybernetics},
  volume = {54},
  number = {1},
  pages = {401-414},
}