most citedModel Pruning Enables Localized and Efficient Federated Learning for Yield Forecasting and Data Sharing

43 citations · 43 across the 1 of their papers we have counts for

collaborators

1 paper

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…