5 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 1 cited
Modeling Global Distribution for Federated Learning with Label Distribution Skew
Tao Sheng, Chengchao Shen, Yuan Liu +3
Federated learning achieves joint training of deep models by connecting decentralized data sources, which can significantly mitigate the risk of privacy leakage. However, in a more…
cs.LG2022★ 1 cited
Representation Learning of Knowledge Graph for Wireless Communication Networks
Shiwen He, Yeyu Ou, Liangpeng Wang +3
With the application of the fifth-generation wireless communication technologies, more smart terminals are being used and generating huge amounts of data, which has prompted extens…
cs.IT2021★ 5 cited
An Overview on the Application of Graph Neural Networks in Wireless Networks
S. He, S. Xiong, Y. Ou +4
In recent years, with the rapid enhancement of computing power, deep learning methods have been widely applied in wireless networks and achieved impressive performance. To effectiv…