The Role of Cross-Silo Federated Learning in Facilitating Data Sharing in the Agri-Food Sector

Durrant, AidenMarkovic, MilanMatthews, DavidMay, DavidEnright, JessicaLeontidis, Georgios2022-12-202022-12-202022-02-01Durrant, A, Markovic, M, Matthews, D, May, D, Enright, J & Leontidis, G 2022, 'The Role of Cross-Silo Federated Learning in Facilitating Data Sharing in the Agri-Food Sector', Computers and Electronics in Agriculture, vol. 193, 106648. https://doi.org/10.1016/j.compag.2021.1066480168-1699ORCID: /0000-0001-6671-5568/work/106161491ORCID: /0000-0002-8375-4523/work/148047429https://hdl.handle.net/2164/19756Acknowledgements This work was supported by an award made by the UKRI/EPSRC funded Internet of Food ThingsNetwork+ grant EP/R045127/1.121892005engSubstantive connection via eligible employment contractSDG 2 - Zero HungerSDG 9 - Industry, Innovation, and Infrastructure2040 Data and Artificial IntelligenceAgri-FoodFederated LearningMachine LearningData SharingQA75 Electronic computers. Computer scienceEngineering and Physical Sciences Research Council (EPSRC)EP/R045127/1QA75The Role of Cross-Silo Federated Learning in Facilitating Data Sharing in the Agri-Food SectorJournal article10.1016/j.compag.2021.106648193