3 citations · 3 across the 7 of their papers we have counts for
5 papers
Data-Driven Online Resource Allocation for User Experience Improvement in Mobile Edge Clouds
Liqun Fu, Jingwen Tong, Tongtong Lin +1
As the cloud is pushed to the edge of the network, resource allocation for user experience improvement in mobile edge clouds (MEC) is increasingly important and faces multiple chal…
From Learning to Analytics: Improving Model Efficacy with Goal-Directed Client Selection
Jingwen Tong, Zhenzhen Chen, Liqun Fu +2
Federated learning (FL) is an appealing paradigm for learning a global model among distributed clients while preserving data privacy. Driven by the demand for high-quality user exp…
Towards Scalable Wireless Federated Learning: Challenges and Solutions
Yong Zhou, Yuanming Shi, Haibo Zhou +3
The explosive growth of smart devices (e.g., mobile phones, vehicles, drones) with sensing, communication, and computation capabilities gives rise to an unprecedented amount of dat…
Millimeter Wave Full-Duplex Networks: MAC Design and Throughput Optimization
Shengbo Liu, Wen Wu, Liqun Fu +4
Full-duplex (FD) technique can remarkably boost the network capacity in the millimeter wave (mmWave) bands by enabling simultaneous transmission and reception. However, due to dire…
Energy-Efficient 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…