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cs.LG2023★ 1 cited
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…
cs.LG2023
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…