Improving Federated Learning on Heterogeneous Data via Serial Pipeline Training and Global Knowledge Regularization

Yiyang Luo, Ting Lu 0001, Shan Chang, Bingyue Wang. Improving Federated Learning on Heterogeneous Data via Serial Pipeline Training and Global Knowledge Regularization. In 28th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2022, Nanjing, China, January 10-12, 2023. pages 851-858, IEEE, 2022. [doi]

@inproceedings{LuoLCW22,
  title = {Improving Federated Learning on Heterogeneous Data via Serial Pipeline Training and Global Knowledge Regularization},
  author = {Yiyang Luo and Ting Lu 0001 and Shan Chang and Bingyue Wang},
  year = {2022},
  doi = {10.1109/ICPADS56603.2022.00115},
  url = {https://doi.org/10.1109/ICPADS56603.2022.00115},
  researchr = {https://researchr.org/publication/LuoLCW22},
  cites = {0},
  citedby = {0},
  pages = {851-858},
  booktitle = {28th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2022, Nanjing, China, January 10-12, 2023},
  publisher = {IEEE},
  isbn = {978-1-6654-7315-6},
}