FDA-CDM : Data Augmentation Framework for Personalized Federated Learning in Non-IID Scenarios

Yue Wang, Hongjuan Wang, Fang Zhang, Xuxin Li. FDA-CDM : Data Augmentation Framework for Personalized Federated Learning in Non-IID Scenarios. In Proceedings of the International Conference on Electronics, Computers and Communication Technology, CECCT 2023, Guilin, China, November 17-19, 2023. pages 71-76, ACM, 2023. [doi]

@inproceedings{WangWZL23-6,
  title = {FDA-CDM : Data Augmentation Framework for Personalized Federated Learning in Non-IID Scenarios},
  author = {Yue Wang and Hongjuan Wang and Fang Zhang and Xuxin Li},
  year = {2023},
  doi = {10.1145/3637494.3637507},
  url = {https://doi.org/10.1145/3637494.3637507},
  researchr = {https://researchr.org/publication/WangWZL23-6},
  cites = {0},
  citedby = {0},
  pages = {71-76},
  booktitle = {Proceedings of the International Conference on Electronics, Computers and Communication Technology, CECCT 2023, Guilin, China, November 17-19, 2023},
  publisher = {ACM},
}