Federated machine learning for privacy preserving, collective supply chain risk prediction

The use of Artificial Intelligence (AI) for predicting supply chain risk has gained popularity. However, proposed approaches are based on the premise that organisations act alone, rather than a collective when predicting risk, despite the interconnected nature of supply chains. This yields a problem...

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Veröffentlicht in:	International journal of production research Jg. 61; H. 23; S. 8115 - 8132
Hauptverfasser:	Zheng, Ge, Kong, Lingxuan, Brintrup, Alexandra
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Taylor & Francis 02.12.2023 Taylor & Francis LLC
Schlagworte:	Algorithms Artificial intelligence Datasets federated learning Machine learning Predictions Privacy privacy preserving Risk Supply chain Supply chains
ISSN:	0020-7543, 1366-588X
Online-Zugang:	Volltext
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