@inproceedings{xu-etal-2025-enhancing-model,
    title = "Enhancing Model Privacy in Federated Learning with Random Masking and Quantization",
    author = "Xu, Zhibo  and
      JianHao, Zhu  and
      Xu, Jingwen  and
      Lv, Changze  and
      Wang, Zhenghua  and
      Huang, Zisu  and
      Wang, Xiaohua  and
      Wu, Muling  and
      Qian, Qi  and
      Zheng, Xiaoqing  and
      Huang, Xuanjing",
    editor = "Christodoulopoulos, Christos  and
      Chakraborty, Tanmoy  and
      Rose, Carolyn  and
      Peng, Violet",
    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2025",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/author-page-yu-wang-polytechnic/2025.findings-emnlp.632/",
    doi = "10.18653/v1/2025.findings-emnlp.632",
    pages = "11804--11816",
    ISBN = "979-8-89176-335-7"
}