3 citations · 5 across the 5 of their papers we have counts for
5 papers
SatFlow: Scalable Network Planning for LEO Mega-Constellations
Sheng Cen, Qiying Pan, Yifei Zhu +1
Low-earth-orbit (LEO) satellite communication networks have evolved into mega-constellations with hundreds to thousands of satellites inter-connecting with inter-satellite links (I…
On provable privacy vulnerabilities of graph representations
Ruofan Wu, Guanhua Fang, Qiying Pan +3
Graph representation learning (GRL) is critical for extracting insights from complex network structures, but it also raises security concerns due to potential privacy vulnerabiliti…
FedGKD: Unleashing the Power of Collaboration in Federated Graph Neural Networks
Qiying Pan, Ruofan Wu, Tengfei Liu +3
Federated training of Graph Neural Networks (GNN) has become popular in recent years due to its ability to perform graph-related tasks under data isolation scenarios while preservi…
Lumos: Heterogeneity-aware Federated Graph Learning over Decentralized Devices
Qiying Pan, Yifei Zhu, Lingyang Chu
Graph neural networks (GNN) have been widely deployed in real-world networked applications and systems due to their capability to handle graph-structured data. However, the growing…
FedWalk: Communication Efficient Federated Unsupervised Node Embedding with Differential Privacy
Qiying Pan, Yifei Zhu
Node embedding aims to map nodes in the complex graph into low-dimensional representations. The real-world large-scale graphs and difficulties of labeling motivate wide studies of…