计算机科学
GSM演进的增强数据速率
物联网
块链
无线
边缘计算
无线传感器网络
计算机网络
无线网络
方案(数学)
边缘设备
分布式计算
云计算
人工智能
嵌入式系统
电信
计算机安全
数学分析
数学
操作系统
作者
Yanxi Xie,Ziyue Li,Chao Li,Yonghui Zhu,Hao Zhang
标识
DOI:10.1109/bmsb58369.2023.10211278
摘要
Recently, the popularity of Internet of Things (IoT) devices has brought massive amounts of sensing data to edge networks. How to use distributed sensing data to train artificial intelligence (AI) models for ubiquitous intelligent wireless sensing in IoT, while considering privacy is an open problem. In this paper, we propose an edge intelligence (EI) and blockchain powered device-free wireless sensing framework to supply IoT applications in edge networks. We design a cross-domain wireless sensing scheme for human-computer interaction by adopting adversarial transfer learning in this framework and verify the effectiveness of the method.
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