A federated graph neural network framework for privacy-preserving personalization

Graph neural network (GNN) is effective in modeling high-order interactions and has been widely used in various personalized applications such as recommendation. However, mainstream personalization methods rely on centralized GNN learning on global graphs, which have considerable privacy risks due t...

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Detalles Bibliográficos
Autores principales: Wu, Chuhan, Wu, Fangzhao, Lyu, Lingjuan, Qi, Tao, Huang, Yongfeng, Xie, Xing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9163103/
https://www.ncbi.nlm.nih.gov/pubmed/35654792
http://dx.doi.org/10.1038/s41467-022-30714-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9163103/
https://www.ncbi.nlm.nih.gov/pubmed/35654792
http://dx.doi.org/10.1038/s41467-022-30714-9

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