@inproceedings{fan-etal-2025-ppc,
    title = "{PPC}-{GPT}: Federated Task-Specific Compression of Large Language Models via Pruning and Chain-of-Thought Distillation",
    author = "Fan, Tao  and
      Ma, Guoqiang  and
      Song, Yuanfeng  and
      Fan, Lixin  and
      Yang, Qiang",
    editor = "Christodoulopoulos, Christos  and
      Chakraborty, Tanmoy  and
      Rose, Carolyn  and
      Peng, Violet",
    booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2025.emnlp-main.747/",
    pages = "14794--14805",
    ISBN = "979-8-89176-332-6"
}