FedGCN: Federated Learning-Based Graph Convolutional Networks for Non-Euclidean Spatial Data

FedGCN: Federated Learning-Based Graph Convolutional Networks for Non-Euclidean Spatial Data

Federated Learning (FL) can combine multiple clients for training and keep client data local, which is a good way to protect data privacy. There are many excellent FL algorithms. However, most of these can only process data with regular structures, such as images and videos. They cannot process non-...

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Bibliographic Details
Main Authors: Kai Hu, Jiasheng Wu, Yaogen Li, Meixia Lu, Liguo Weng, Min Xia
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Mathematics
Subjects:
federated learning
graph convolutional neural network
non-Euclidean spatial data
attention mechanism
Online Access:https://www.mdpi.com/2227-7390/10/6/1000

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https://www.mdpi.com/2227-7390/10/6/1000

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