FedOVA: One-vs-All Training Method for Federated Learning with Non-IID Data

Yuanshao Zhu, Christos Markos, Ruihui Zhao, Yefeng Zheng, James J. Q. Yu. FedOVA: One-vs-All Training Method for Federated Learning with Non-IID Data. In International Joint Conference on Neural Networks, IJCNN 2021, Shenzhen, China, July 18-22, 2021. pages 1-7, IEEE, 2021. [doi]

@inproceedings{ZhuMZZY21,
  title = {FedOVA: One-vs-All Training Method for Federated Learning with Non-IID Data},
  author = {Yuanshao Zhu and Christos Markos and Ruihui Zhao and Yefeng Zheng and James J. Q. Yu},
  year = {2021},
  doi = {10.1109/IJCNN52387.2021.9533409},
  url = {https://doi.org/10.1109/IJCNN52387.2021.9533409},
  researchr = {https://researchr.org/publication/ZhuMZZY21},
  cites = {0},
  citedby = {0},
  pages = {1-7},
  booktitle = {International Joint Conference on Neural Networks, IJCNN 2021, Shenzhen, China, July 18-22, 2021},
  publisher = {IEEE},
  isbn = {978-1-6654-3900-8},
}