22 citations · 34 across the 10 of their papers we have counts for
11 papers
Unit-Modulus Wireless Federated Learning Via Penalty Alternating Minimization
Shuai Wang, Dachuan Li, Rui Wang +3
Wireless federated learning (FL) is an emerging machine learning paradigm that trains a global parametric model from distributed datasets via wireless communications. This paper pr…
Space Shift Keying with Reconfigurable Intelligent Surfaces: Phase Configuration Designs and Performance Analysis
Qiang Li, Miaowen Wen, Shuai Wang +2
Reconfigurable intelligent surface (RIS)-assisted transmission and space shift keying (SSK) appear as promising candidates for future energy-efficient wireless systems. In this pap…
Reconfigurable Intelligent Surface Assisted Mobile Edge Computing with Heterogeneous Learning Tasks
Shanfeng Huang, Shuai Wang, Rui Wang +2
The ever-growing popularity and rapid improving of artificial intelligence (AI) have raised rethinking on the evolution of wireless networks. Mobile edge computing (MEC) provides a…
Learning Centric Wireless Resource Allocation for Edge Computing: Algorithm and Experiment
Liangkai Zhou, Yuncong Hong, Shuai Wang +4
Edge intelligence is an emerging network architecture that integrates sensing, communication, computing components, and supports various machine learning applications, where a fund…
Edge Learning with Unmanned Ground Vehicle: Joint Path, Energy and Sample Size Planning
Dan Liu, Shuai Wang, Zhigang Wen +3
Edge learning (EL), which uses edge computing as a platform to execute machine learning algorithms, is able to fully exploit the massive sensing data generated by Internet of Thing…
Learning Centric Power Allocation for Edge Intelligence
Shuai Wang, Rui Wang, Qi Hao +2
While machine-type communication (MTC) devices generate massive data, they often cannot process this data due to limited energy and computation power. To this end, edge intelligenc…