FedSCS: Client Selection for Federated Learning Under System Heterogeneity and Client Fairness with a Stackelberg Game Approach

Tong Yin, Lixin Li, Wensheng Lin, Wei Liang 0002, Xu Li 0010, Zhu Han 0001. FedSCS: Client Selection for Federated Learning Under System Heterogeneity and Client Fairness with a Stackelberg Game Approach. In IEEE International Conference on Communications, ICC 2023 - Workshops, Rome, Italy, May 28 - June 1, 2023. pages 373-378, IEEE, 2023. [doi]

@inproceedings{YinLLLLH23,
  title = {FedSCS: Client Selection for Federated Learning Under System Heterogeneity and Client Fairness with a Stackelberg Game Approach},
  author = {Tong Yin and Lixin Li and Wensheng Lin and Wei Liang 0002 and Xu Li 0010 and Zhu Han 0001},
  year = {2023},
  doi = {10.1109/ICCWorkshops57953.2023.10283698},
  url = {https://doi.org/10.1109/ICCWorkshops57953.2023.10283698},
  researchr = {https://researchr.org/publication/YinLLLLH23},
  cites = {0},
  citedby = {0},
  pages = {373-378},
  booktitle = {IEEE International Conference on Communications, ICC 2023 - Workshops, Rome, Italy, May 28 - June 1, 2023},
  publisher = {IEEE},
  isbn = {979-8-3503-3307-7},
}