@inproceedings{xu-etal-2026-fedanchor,
    title = "{F}ed{A}nchor: Differentially Private Federated {L}o{RA} via Weight Anchoring",
    author = "Xu, Jie  and
      Mehmood, Haaris  and
      van Dalen, Rogier  and
      Saravanan, Karthikeyan  and
      Ozay, Mete",
    editor = "Atanasova, Pepa  and
      Haffari, Gholamreza  and
      Wang, Minghan",
    booktitle = "Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing: Industry Track",
    month = oct,
    year = "2026",
    address = "Budapest, Hungary",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2026.emnlp-industry.211/",
    pages = "3544--3554",
    ISBN = "979-8-89176-460-6"
}