Unconstrained Feature Model and Its General Geometric Patterns in Federated Learning: Local Subspace Minority Collapse

Mingjia Shi, Yuhao Zhou, Qing Ye, Jiancheng Lv 0001. Unconstrained Feature Model and Its General Geometric Patterns in Federated Learning: Local Subspace Minority Collapse. In Biao Luo, Long Cheng 0001, Zheng-Guang Wu, Hongyi Li 0001, Chaojie Li, editors, Neural Information Processing - 30th International Conference, ICONIP 2023, Changsha, China, November 20-23, 2023, Proceedings, Part VIII. Volume 1962 of Communications in Computer and Information Science, pages 449-464, Springer, 2023. [doi]

@inproceedings{ShiZY023,
  title = {Unconstrained Feature Model and Its General Geometric Patterns in Federated Learning: Local Subspace Minority Collapse},
  author = {Mingjia Shi and Yuhao Zhou and Qing Ye and Jiancheng Lv 0001},
  year = {2023},
  doi = {10.1007/978-981-99-8132-8_34},
  url = {https://doi.org/10.1007/978-981-99-8132-8_34},
  researchr = {https://researchr.org/publication/ShiZY023},
  cites = {0},
  citedby = {0},
  pages = {449-464},
  booktitle = {Neural Information Processing - 30th International Conference, ICONIP 2023, Changsha, China, November 20-23, 2023, Proceedings, Part VIII},
  editor = {Biao Luo and Long Cheng 0001 and Zheng-Guang Wu and Hongyi Li 0001 and Chaojie Li},
  volume = {1962},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-981-99-8132-8},
}