Papers with FedGUI

1 papers
FedGUI: Benchmarking Federated GUI Agents across Heterogeneous Platforms, Devices, and Operating Systems (2026.findings-acl)

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Challenge: a lack of benchmarks capture real-world, cross-platform heterogeneity in GUI training . traditional methods to train GUI agents rely on centralized data collection and manual labeling .
Approach: They propose a benchmark for developing and evaluating federated GUI agents across mobile, web and desktop platforms.
Outcome: The proposed benchmarks show that cross-platform collaboration improves performance and identify platform and OS as the most influential factors.

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