Toward Privacy-Aware Efficient Federated Graph Attention Network in Smart Cloud-Reference-Cited by-同舟云学术

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Toward Privacy-Aware Efficient Federated Graph Attention Network in Smart Cloud

Published:2024-05-10 Issue: Volume:1050 Page:19-24
ISSN:
Container-title:2024 9th IEEE International Conference on Smart Cloud (SmartCloud)
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Author:

Zhou Jinhao¹,Su Zhou²,Wang Yuntao²,Pan Yanghe²,Pan Qianqian³,Liu Lizheng⁴,Wu Jun¹

Affiliation:

1. Waseda University,Graduate School of Information, Production and Systems,Fukuoka,Japan

2. Xi’an Jiaotong University,School of Cyber Science and Engineering,China

3. The University of Tokyo,School of Engineering,Japan

4. Fudan University,Academy for Engineering and Technology,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10566302/10566303/10566319.pdf?arnumber=10566319

Reference20 articles.

1. Transfer Graph Neural Networks for Pandemic Forecasting

2. Graph Neural Networks for Recommender System

3. Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting

4. Graph attention networks;Velickovic;stat,2017

5. Heterogeneous Differential-Private Federated Learning: Trading Privacy for Utility Truthfully

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