172 citations · 270 across the 14 of their papers we have counts for
5 papers · 1 filter
HoGS: Homophily-Oriented Graph Synthesis for Local Differentially Private GNN Training
Wen Xu, Zhetao Li, Yong Xiao +3
Graph neural networks (GNNs) have demonstrated remarkable performance in various graph-based machine learning tasks by effectively modeling high-order interactions between nodes. H…
An Efficient Imbalance-Aware Federated Learning Approach for Wearable Healthcare with Autoregressive Ratio Observation
Wenhao Yan, He Li, Kaoru Ota +1
Widely available healthcare services are now getting popular because of advancements in wearable sensing techniques and mobile edge computing. People's health information is collec…
UAV Base Station Trajectory Optimization Based on Reinforcement Learning in Post-disaster Search and Rescue Operations
Shiye Zhao, Kaoru Ota, Mianxiong Dong
Because of disaster, terrestrial base stations (TBS) would be partly crashed. Some user equipments (UE) would be unserved. Deploying unmanned aerial vehicles (UAV) as aerial base s…
Deep Reinforcement Learning Based Multi-Access Edge Computing Schedule for Internet of Vehicle
Xiaoyu Dai, Kaoru Ota, Mianxiong Dong
As intelligent transportation systems been implemented broadly and unmanned arial vehicles (UAVs) can assist terrestrial base stations acting as multi-access edge computing (MEC) t…
Clairvoyance: Intelligent Route Planning for Electric Buses Based on Urban Big Data
Xiangyong Lu, Kaoru Ota, Mianxiong Dong +2
Nowadays many cities around the world have introduced electric buses to optimize urban traffic and reduce local carbon emissions. In order to cut carbon emissions and maximize the…