210 citations · 262 across the 18 of their papers we have counts for
5 papers · 1 filter
Federated Learning via Intelligent Reflecting Surface
Zhibin Wang, Jiahang Qiu, Yong Zhou +4
Over-the-air computation (AirComp) based federated learning (FL) is capable of achieving fast model aggregation by exploiting the waveform superposition property of multiple access…
The optimal network throughputs when the model-aware node coexists with other nodes using different MAC protocols
Xiaowen Ye, Yiding Yu, Liqun Fu
In this document, we give the optimal network throughput when the DR-DLMA node (see our paper for definition) coexists with the nodes using other protocol (e.g., TDMA and/or ALOHA)…
Analysis and Optimization for Large-Scale LoRa Networks: Throughput Fairness and Scalability
Jiangbin Lyu, Dan Yu, Liqun Fu
LoRa networks are pivotally enabling Long Range connectivity to low-cost and power-constrained user equipments (UEs) in a wide area, whereas a critical issue is to effectively allo…
Energy-Efficient Cyclical Trajectory Design for UAV-Aided Maritime Data Collection in Wind
Yifan Zhang, Jiangbin Lyu, Liqun Fu
Unmanned aerial vehicles (UAVs), especially fixed-wing ones that withstand strong winds, have great potential for oceanic exploration and research. This paper studies a UAV-aided m…
Federated Machine Learning for Intelligent IoT via Reconfigurable Intelligent Surface
Kai Yang, Yuanming Shi, Yong Zhou +3
Intelligent Internet-of-Things (IoT) will be transformative with the advancement of artificial intelligence and high-dimensional data analysis, shifting from "connected things" to…