Federated graph neural networks: overview, techniques, and challenges

Federated graph neural networks: overview, techniques, and challenges

Graph neural networks (GNNs) have attracted extensive research attention in recent years due to their capability to progress with graph data and have been widely used in practical applications. As societies become increasingly concerned with the need for data privacy protection, GNNs face the need t...

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Bibliographic Details
Main Authors: Liu, Rui, Xing, Pengwei, Deng, Zichao, Li, Anran, Guan, Cuntai, Yu, Han
Other Authors: College of Computing and Data Science
Format: Journal Article
Language:English
Published: 2024
Subjects:
Computer and Information Science
Artificial intelligence
Federated learning
Online Access:https://hdl.handle.net/10356/179063

Internet

https://hdl.handle.net/10356/179063

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