activity
20212025
most citedGradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction

35 citations · 38 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2025

Wireless Traffic Prediction with Large Language Model

Chuanting Zhang, Haixia Zhang, Jingping Qiao +2

The growing demand for intelligent, adaptive resource management in next-generation wireless networks has underscored the importance of accurate and scalable wireless traffic predi…

cs.DC2025★ 35 cited

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction

Chuanting Zhang, Haixia Zhang, Shuping Dang +2

Wireless traffic prediction plays an indispensable role in cellular networks to achieve proactive adaptation for communication systems. Along this line, Federated Learning (FL)-bas…

cs.AI2023

Federated Radio Frequency Fingerprinting with Model Transfer and Adaptation

Chuanting Zhang, Shuping Dang, Junqing Zhang +2

The Radio frequency (RF) fingerprinting technique makes highly secure device authentication possible for future networks by exploiting hardware imperfections introduced during manu…

cs.CY2021★ 2 cited

On Telecommunication Service Imbalance and Infrastructure Resource Deployment

Chuanting Zhang, Shuping Dang, Basem Shihada +1

The digital divide restricting the access of people living in developing areas to the benefits of modern information and communications technologies has become a major challenge an…

cs.NI2021★ 1 cited

Big Communications: Connect the Unconnected

Shuping Dang, Chuanting Zhang, Basem Shihada +1

In this article, we present the analysis of the digital divide to illustrate the unfair access to the benefits brought by information and communications technology (ICT) over the g…