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ESA-FedGNN: Efficient secure aggregation for federated graph neural networks
Graph Neural Network (GNN) architecture is a state-of-the-art model, which can obtain complete node embedding features and rich data information by aggregating the information of nodes and neighbors. Therefore, GNNs are widely used in electronic shopping, drug discovery (especially for the treatment...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10034897/ https://www.ncbi.nlm.nih.gov/pubmed/37152768 http://dx.doi.org/10.1007/s12083-023-01472-2 |