Towards Privacy-Aware Causal Structure Learning in Federated Setting

Causal structure learning has been extensively studied and widely used in machine learning and various applications. To achieve an ideal performance, existing causal structure learning algorithms often need to centralize a large amount of data from multiple data sources. However, in the privacy-pres...

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Veröffentlicht in:	IEEE transactions on big data 2023-12, Vol.9 (6), p.1-11
Hauptverfasser:	Huang, Jianli, Guo, Xianjie, Yu, Kui, Cao, Fuyuan, Liang, Jiye
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Big Data Causal structure learning Data models Data privacy Federated learning Inference algorithms Machine learning Privacy Privacy preserving Servers Skeleton
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