118 citations · 161 across the 3 of their papers we have counts for
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cs.LG2023★ 43 cited
Model Pruning Enables Localized and Efficient Federated Learning for Yield Forecasting and Data Sharing
Andy Li, Milan Markovic, Peter Edwards +1
Federated Learning (FL) presents a decentralized approach to model training in the agri-food sector and offers the potential for improved machine learning performance, while ensuri…
cs.LG2021★ 118 cited
The Role of Cross-Silo Federated Learning in Facilitating Data Sharing in the Agri-Food Sector
Aiden Durrant, Milan Markovic, David Matthews +3
Data sharing remains a major hindering factor when it comes to adopting emerging AI technologies in general, but particularly in the agri-food sector. Protectiveness of data is nat…