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Model Pruning Enables Localized and Efficient Federated Learning for Yield Forecasting and Data Sharing
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 ensuring the safety and privacy of individual farms or data silos.
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