3 papers
cs.DC2025
Federated Semi-Supervised and Semi-Asynchronous Learning for Anomaly Detection in IoT Networks
Wenbin Zhai, Liang Liu, Feng Wang +3
Existing FL-based approaches are based on the unrealistic assumption that the data on the client-side is fully annotated with ground truths. Furthermore, it is a great challenge ho…
cs.DC2025
ESTA: An Efficient Spatial-Temporal Range Aggregation Query Processing Algorithm for UAV Networks
Liang Liu, Wenbin Zhai, Xin Li +3
Unmanned Aerial Vehicle (UAV) networks are increasingly deployed in military and civilian applications, serving as critical platforms for data collection. Users frequently require…
eess.SP2024
Reducing Channel Estimation and Feedback Overhead in IRS-Aided Downlink System: A Quantize-then-Estimate Approach
Rui Wang, Zhaorui Wang, Liang Liu +2
Channel state information (CSI) acquisition is essential for the base station (BS) to fully reap the beamforming gain in intelligent reflecting surface (IRS)-aided downlink communi…