The Role of Cross-Silo Federated Learning in Facilitating Data Sharing in the Agri-Food Sector
| dc.contributor.author | Durrant, Aiden | |
| dc.contributor.author | Markovic, Milan | |
| dc.contributor.author | Matthews, David | |
| dc.contributor.author | May, David | |
| dc.contributor.author | Enright, Jessica | |
| dc.contributor.author | Leontidis, Georgios | |
| dc.contributor.institution | University of Aberdeen.Computing Science | en |
| dc.contributor.institution | University of Aberdeen.Trusted Things and Communities | en |
| dc.contributor.institution | University of Aberdeen.Machine Learning | en |
| dc.date.accessioned | 2022-12-20T00:15:15Z | |
| dc.date.available | 2022-12-20T00:15:15Z | |
| dc.date.embargoedUntil | 2022-12-20 | |
| dc.date.issued | 2022-02-01 | |
| dc.description | Acknowledgements This work was supported by an award made by the UKRI/EPSRC funded Internet of Food ThingsNetwork+ grant EP/R045127/1. | en |
| dc.description.status | Peer reviewed | en |
| dc.format.extent | 12 | |
| dc.format.extent | 1892005 | |
| dc.identifier | 210474584 | |
| dc.identifier | f95c1100-0f91-4c53-9ec7-04ea45d8fe9a | |
| dc.identifier | 85122021693 | |
| dc.identifier | 85122021693 | |
| dc.identifier.citation | Durrant, 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.2021.106648 | en |
| dc.identifier.doi | 10.1016/j.compag.2021.106648 | |
| dc.identifier.issn | 0168-1699 | |
| dc.identifier.other | ORCID: /0000-0001-6671-5568/work/106161491 | |
| dc.identifier.other | ORCID: /0000-0002-8375-4523/work/148047429 | |
| dc.identifier.uri | https://hdl.handle.net/2164/19756 | |
| dc.identifier.vol | 193 | en |
| dc.language.iso | eng | |
| dc.relation.ispartof | Computers and Electronics in Agriculture | en |
| dc.subject | Substantive connection via eligible employment contract | en |
| dc.subject | SDG 2 - Zero Hunger | en |
| dc.subject | SDG 9 - Industry, Innovation, and Infrastructure | en |
| dc.subject | 2040 Data and Artificial Intelligence | en |
| dc.subject | Agri-Food | en |
| dc.subject | Federated Learning | en |
| dc.subject | Machine Learning | en |
| dc.subject | Data Sharing | en |
| dc.subject | QA75 Electronic computers. Computer science | en |
| dc.subject | Engineering and Physical Sciences Research Council (EPSRC) | en |
| dc.subject | EP/R045127/1 | en |
| dc.subject.lcc | QA75 | en |
| dc.title | The Role of Cross-Silo Federated Learning in Facilitating Data Sharing in the Agri-Food Sector | en |
| dc.type | Journal article | en |
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