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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Vydané v:	International journal of production research Ročník 61; číslo 23; s. 8115 - 8132
Hlavní autori:	Zheng, Ge, Kong, Lingxuan, Brintrup, Alexandra
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Taylor & Francis 02.12.2023 Taylor & Francis LLC
Predmet:	Algorithms Artificial intelligence Datasets federated learning Machine learning Predictions Privacy privacy preserving Risk Supply chain Supply chains
ISSN:	0020-7543, 1366-588X
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