Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features

Xinyi Shang, Yang Lu, Gang Huang, Hanzi Wang. Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features. In Luc De Raedt, editor, Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI 2022, Vienna, Austria, 23-29 July 2022. pages 2218-2224, ijcai.org, 2022. [doi]

@inproceedings{ShangLHW22,
  title = {Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features},
  author = {Xinyi Shang and Yang Lu and Gang Huang and Hanzi Wang},
  year = {2022},
  doi = {10.24963/ijcai.2022/308},
  url = {https://doi.org/10.24963/ijcai.2022/308},
  researchr = {https://researchr.org/publication/ShangLHW22},
  cites = {0},
  citedby = {0},
  pages = {2218-2224},
  booktitle = {Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI 2022, Vienna, Austria, 23-29 July 2022},
  editor = {Luc De Raedt},
  publisher = {ijcai.org},
}