Is Shapley Value fair? Improving Client Selection for Mavericks in Federated Learning. Huang, J., Hong, C., Chen, L. Y., & Roos, S. CoRR, 2021.
Is Shapley Value fair? Improving Client Selection for Mavericks in Federated Learning [link]Paper  bibtex   
@article{DBLP:journals/corr/abs-2106-10734,
  author       = {Jiyue Huang and
                  Chi Hong and
                  Lydia Y. Chen and
                  Stefanie Roos},
  title        = {Is Shapley Value fair? Improving Client Selection for Mavericks in
                  Federated Learning},
  journal      = {CoRR},
  volume       = {abs/2106.10734},
  year         = {2021},
  url          = {https://arxiv.org/abs/2106.10734},
  eprinttype    = {arXiv},
  eprint       = {2106.10734},
  timestamp    = {Tue, 29 Jun 2021 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2106-10734.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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