相关数据集
FedGUI-Platform; FedGUI-Device; FedGUI-OS; FedGUI-Web; FedGUI-Mobile; FedGUI-Full
FedGUI是由同义实验室等机构构建的首个跨平台联邦学习GUI智能体基准数据集，涵盖移动端、网页端和桌面端三大平台，包含6个子集共15,500个交互事件。数据源自AndroidControl、Mind2Web等9个真实场景数据集，通过统一动作空间映射和系统性数据清洗，模拟了跨平台、跨设备、跨操作系统及跨数据源四类异构性。该数据集旨在解决分布式环境下GUI智能体的隐私保护协作训练问题，为构建可扩展的
arXiv2026-04-16 更新140
Code for the research "FTA: Stealthy and Adaptive Backdoor Attack with Flexible Triggers on Federated Learning"
This research aims to investigate the vulnerabilities of existing federated learning frameworks against backdoor attacks and to develop a novel backdooring approach. The study focuses on advancing a n
DataCite Commons2025-05-19 更新70
A novel attention-based domain adaptation model for intelligent bearing fault diagnosis under variable working conditions
In recent years, transfer learning technology has developed rapidly and has been widely used in bearing fault diagnosis. Most existing methods mainly align the overall feature distribution of the sign
中国科学院兰州化学物理研究所科学数据中心2023-05-18 更新70
Federated learning enables intelligent-Source-Code-2021.zip
The Intelligent Reflecting Surface (IRS) is a ground-breaking technology that can boost the efficiencyof wireless data transmission systems. Specifically, the wireless signal transmitting environment
DataCite Commons2021-10-26 更新30
