Demo Abstract: Toward the Convergence of the Next-Generation Wireless and AI

被引:0
|
作者
Ning, Rui [1 ]
Wang, Chonggang [2 ]
Gazda, Robert [2 ]
Wu, Hongyi [3 ]
机构
[1] Old Dominion Univ, Dept CS, Norfolk, VA 23529 USA
[2] Univ Arizona, Dept ECE, Tucson, AZ 85721 USA
[3] InterDigital Inc, Conshohocken, PA 19428 USA
基金
美国国家科学基金会;
关键词
Deep Learning; Federated Learning; Neural Backdoor; Security;
D O I
10.1109/INFOCOMWKSHPS61880.2024.10620668
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
This research paper presents a groundbreaking demonstration of the Pathway-of-Experts (PoE) system, showcasing its superior capabilities in IoT-based human activity recognition compared to traditional single-model systems. The study highlights the PoE system's enhanced accuracy, efficiency, and adaptability in complex environments, setting a new benchmark in smart home technology. By integrating AI with next-generation wireless networks, this demonstration underlines the potential for significant advancements in intelligent IoT environments, paving the way for broader applications and further enhancements of the PoE system.
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页数:2
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