Applying federated learning to combat food fraud in food supply chains
Applying federated learning to combat food fraud in food supply chains
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Publisher
London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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Ensuring safe and healthy food is a big challenge due to the complexity of food supply chains and their vulnerability to many internal and external factors, including food fraud. Recent research has shown that Artificial Intelligence (AI) based algorithms, in particularly data driven Bayesian Network (BN) models, are very suitable as a tool to pred...
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Full title
Applying federated learning to combat food fraud in food supply chains
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TN_cdi_doaj_primary_oai_doaj_org_article_cf53438158e042ac9b5596c478320222
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_cf53438158e042ac9b5596c478320222
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ISSN
2396-8370
E-ISSN
2396-8370
DOI
10.1038/s41538-023-00220-3
