3 papers
cs.LG2021
Spatio-Temporal Federated Learning for Massive Wireless Edge Networks
Chun-Hung Liu, Kai-Ten Feng, Lu Wei +1
This paper presents a novel approach to conduct highly efficient federated learning (FL) over a massive wireless edge network, where an edge server and numerous mobile devices (cli…
cs.LG2021
Modeling and Analysis of Intermittent Federated Learning Over Cellular-Connected UAV Networks
Chun-Hung Liu, Di-Chun Liang, Rung-Hung Gau +1
Federated learning (FL) is a promising distributed learning technique particularly suitable for wireless learning scenarios since it can accomplish a learning task without raw data…
cs.NI2021
Toward Ubiquitous and Flexible Coverage of UAV-IRS-Assisted NOMA Networks
Chun-Hung Liu, Md Asif Syed, Lu Wei
This paper studies how to achieve a high and flexible coverage performance of a large-scale cellular network that enables unmanned aerial vehicles (UAVs) for non-orthogonal multipl…