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20202023
most citedSemi-Federated Learning: Convergence Analysis and Optimization of A Hybrid Learning Framework

25 citations · 62 across the 13 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.IT2023★ 25 cited

Semi-Federated Learning: Convergence Analysis and Optimization of A Hybrid Learning Framework

Jingheng Zheng, Wanli Ni, Hui Tian +3

Under the organization of the base station (BS), wireless federated learning (FL) enables collaborative model training among multiple devices. However, the BS is merely responsible…

eess.SP2023

RIS-assisted High-Speed Railway Integrated Sensing and Communication System

Panpan Li, Yong Niu, Hao Wu +5

One technology that has the potential to improve wireless communications in years to come is integrated sensing and communication (ISAC). In this study, we take advantage of reconf…

cs.IT2023

Robust Train-to-Train Transmission Scheduling in mmWave Band for High Speed Train Communication Systems

Yunhan Ma, Yong Niu, Shiwen Mao +5

Demands for data traffic in high-speed railway (HSR) has increased drastically. The increasing entertainment needs of passengers, safety control information exchanges of trains, et…

cs.IT2023

Joint Optimization of Resource Allocation and User Association in Multi-Frequency Cellular Networks Assisted by RIS

Yuanyuan Qiao, Yong Niu, Zhu Han +5

Due to the development of communication technology and the rise of user network demand, a reasonable resource allocation for wireless networks is the key to guaranteeing regular op…

cs.IT2023

Resource Allocation for RIS-Assisted Device-to-Device Communications in Heterogeneous Cellular Networks

Shaoyou Ao, Yong Niu, Zhu Han +4

In recent years, with the explosive growth of data traffic, communication base stations (BSs) need to serve more and more users. Offloading traffic from BSs has become an efficient…