41 citations · 41 across the 2 of their papers we have counts for
2 papers
cs.DC2024
FedRAV: Hierarchically Federated Region-Learning for Traffic Object Classification of Autonomous Vehicles
Yijun Zhai, Pengzhan Zhou, Yuepeng He +5
The emerging federated learning enables distributed autonomous vehicles to train equipped deep learning models collaboratively without exposing their raw data, providing great pote…
cs.AI2021★ 41 cited
HMSG: Heterogeneous Graph Neural Network based on Metapath Subgraph Learning
Xinjun Cai, Jiaxing Shang, Fei Hao +2
Many real-world data can be represented as heterogeneous graphs with different types of nodes and connections. Heterogeneous graph neural network model aims to embed nodes or subgr…