PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning

Mingjia Shi, Yuhao Zhou, Kai Wang, Huaizheng Zhang, Shudong Huang, Qing Ye, Jiancheng Lv 0001. PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning. In Alice Oh, Tristan Naumann, Amir Globerson, Kate Saenko, Moritz Hardt, Sergey Levine, editors, Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023. 2023. [doi]

@inproceedings{ShiZWZHY023,
  title = {PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning},
  author = {Mingjia Shi and Yuhao Zhou and Kai Wang and Huaizheng Zhang and Shudong Huang and Qing Ye and Jiancheng Lv 0001},
  year = {2023},
  url = {http://papers.nips.cc/paper_files/paper/2023/hash/5a3674849d6d6d23ac088b9a2552f323-Abstract-Conference.html},
  researchr = {https://researchr.org/publication/ShiZWZHY023},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023},
  editor = {Alice Oh and Tristan Naumann and Amir Globerson and Kate Saenko and Moritz Hardt and Sergey Levine},
}