@inproceedings{zhang-etal-2023-fedpetuning,
    title = "{F}ed{PET}uning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models",
    author = "Zhang, Zhuo  and
      Yang, Yuanhang  and
      Dai, Yong  and
      Wang, Qifan  and
      Yu, Yue  and
      Qu, Lizhen  and
      Xu, Zenglin",
    editor = "Rogers, Anna  and
      Boyd-Graber, Jordan  and
      Okazaki, Naoaki",
    booktitle = "Findings of the Association for Computational Linguistics: ACL 2023",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.findings-acl.632/",
    doi = "10.18653/v1/2023.findings-acl.632",
    pages = "9963--9977"
}