@inproceedings{mcmahan-etal-2024-hassle,
    title = "A Hassle-free Algorithm for Strong Differential Privacy in Federated Learning Systems",
    author = "McMahan, Hugh Brendan  and
      Xu, Zheng  and
      Zhang, Yanxiang",
    editor = "Dernoncourt, Franck  and
      Preo{\c{t}}iuc-Pietro, Daniel  and
      Shimorina, Anastasia",
    booktitle = "Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track",
    month = nov,
    year = "2024",
    address = "Miami, Florida, US",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.emnlp-industry.64/",
    doi = "10.18653/v1/2024.emnlp-industry.64",
    pages = "842--865"
}