Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning

Zhenheng Tang, Yonggang Zhang, Shaohuai Shi, Xin He, Bo Han, Xiaowen Chu 0001. Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning. In Kamalika Chaudhuri, Stefanie Jegelka, Le Song, Csaba Szepesvári, Gang Niu 0001, Sivan Sabato, editors, International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA. Volume 162 of Proceedings of Machine Learning Research, pages 21111-21132, PMLR, 2022. [doi]

@inproceedings{TangZSHH022,
  title = {Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning},
  author = {Zhenheng Tang and Yonggang Zhang and Shaohuai Shi and Xin He and Bo Han and Xiaowen Chu 0001},
  year = {2022},
  url = {https://proceedings.mlr.press/v162/tang22d.html},
  researchr = {https://researchr.org/publication/TangZSHH022},
  cites = {0},
  citedby = {0},
  pages = {21111-21132},
  booktitle = {International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA},
  editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesvári and Gang Niu 0001 and Sivan Sabato},
  volume = {162},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}