Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning

Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi. Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning. In Marina Meila, Tong Zhang 0001, editors, Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event. Volume 139 of Proceedings of Machine Learning Research, pages 3407-3416, PMLR, 2021. [doi]

@inproceedings{FraboniVKL21,
  title = {Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning},
  author = {Yann Fraboni and Richard Vidal and Laetitia Kameni and Marco Lorenzi},
  year = {2021},
  url = {http://proceedings.mlr.press/v139/fraboni21a.html},
  researchr = {https://researchr.org/publication/FraboniVKL21},
  cites = {0},
  citedby = {0},
  pages = {3407-3416},
  booktitle = {Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event},
  editor = {Marina Meila and Tong Zhang 0001},
  volume = {139},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}