Federated Subgraph Learning via Global-Knowledge-Guided Node Generation

Federated Subgraph Learning via Global-Knowledge-Guided Node Generation

Federated graph learning (FGL) is a combination of graph representation learning and federated learning that utilizes graph neural networks (GNNs) to process complex graph-structured data while addressing data silo issues. However, during the local training of GNNs, each client only has access to a...

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Bibliographic Details
Main Authors:	Yuxuan Liu, Zhiming He, Shuang Wang, Yangyang Wang, Peichao Wang, Zhangshen Huang, Qi Sun
Format:	Article
Language:	English
Published:	MDPI AG 2025-04-01
Series:	Sensors
Subjects:	federated learning distributed learning graph learning machine learning deep learning
Online Access:	https://www.mdpi.com/1424-8220/25/7/2240
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