@inproceedings{wang-etal-2026-fedgui,
    title = "{F}ed{GUI}: Benchmarking Federated {GUI} Agents across Heterogeneous Platforms, Devices, and Operating Systems",
    author = "Wang, WenHao  and
      Shi, Haoting  and
      Yuan, Mengying  and
      Lin, Yiquan  and
      Tong, Panrong  and
      Zhou, Hanzhang  and
      Liu, Guangyi  and
      Zhao, Pengxiang  and
      Wang, Yue  and
      Chen, Siheng",
    editor = "Liakata, Maria  and
      Moreira, Viviane P.  and
      Zhang, Jiajun  and
      Jurgens, David",
    booktitle = "Findings of the {A}ssociation for {C}omputational {L}inguistics: {ACL} 2026",
    month = jul,
    year = "2026",
    address = "San Diego, California, United States",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-acl/2026.findings-acl.1436/",
    pages = "28747--28767",
    ISBN = "979-8-89176-395-1",
    abstract = "Training GUI agents with traditional centralized methods faces significant cost and scalability challenges. Federated learning (FL) offers a promising solution, yet its potential is hindered by the lack of benchmarks that capture real-world, cross-platform heterogeneity. To bridge this gap, we introduce FedGUI, the first comprehensive benchmark for developing and evaluating federated GUI agents across mobile, web, and desktop platforms. FedGUI provides a suite of six curated datasets to systematically study four crucial types of heterogeneity: cross-platform, cross-device, cross-OS, and cross-source. Extensive experiments reveal several key insights: First, we show that cross-platform collaboration improves performance, extending prior mobile-only federated learning to diverse GUI environments; Second, we demonstrate the presence of distinct heterogeneity dimensions and identify platform and OS as the most influential factors. FedGUI provides a vital foundation for the community to build more scalable and privacy-preserving GUI agents for real-world deployment. Our code and data are publicly available at https://github.com/wwh0411/FedGUI.."
}