Federated graph neural networks: overview, techniques, and challenges

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

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...