Non-IID always Bad? Semi-Supervised Heterogeneous Federated Learning with Local Knowledge Enhancement

Chao Zhang, Fangzhao Wu, Jingwei Yi, Derong Xu, Yang Yu, Jindong Wang, Yidong Wang, Tong Xu, Xing Xie, Enhong Chen. Non-IID always Bad? Semi-Supervised Heterogeneous Federated Learning with Local Knowledge Enhancement. In Ingo Frommholz, Frank Hopfgartner, Mark Lee 0001, Michael Oakes 0001, Mounia Lalmas, Min Zhang 0006, Rodrygo L. T. Santos, editors, Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023. pages 3257-3267, ACM, 2023. [doi]

@inproceedings{ZhangWYXYWWXXC23,
  title = {Non-IID always Bad? Semi-Supervised Heterogeneous Federated Learning with Local Knowledge Enhancement},
  author = {Chao Zhang and Fangzhao Wu and Jingwei Yi and Derong Xu and Yang Yu and Jindong Wang and Yidong Wang and Tong Xu and Xing Xie and Enhong Chen},
  year = {2023},
  doi = {10.1145/3583780.3614991},
  url = {https://doi.org/10.1145/3583780.3614991},
  researchr = {https://researchr.org/publication/ZhangWYXYWWXXC23},
  cites = {0},
  citedby = {0},
  pages = {3257-3267},
  booktitle = {Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023},
  editor = {Ingo Frommholz and Frank Hopfgartner and Mark Lee 0001 and Michael Oakes 0001 and Mounia Lalmas and Min Zhang 0006 and Rodrygo L. T. Santos},
  publisher = {ACM},
}