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

Li, AndyMarkovic, MilanEdwards, PeterLeontidis, Georgios2023-07-132023-07-132023-04-19Li, A, Markovic, M, Edwards, P & Leontidis, G 2023 'Model Pruning Enables Localized and Efficient Federated Learning for Yield Forecasting and Data Sharing' ArXiv. https://doi.org/10.48550/arXiv.2304.09876ArXiv: http://arxiv.org/abs/2304.09876v1ORCID: /0000-0002-4527-9186/work/138945181ORCID: /0000-0001-6671-5568/work/138946592https://hdl.handle.net/2164/2121131 pages, 4 figures, 4 tables31691038engSDG 9 - Industry, Innovation, and InfrastructureSDG 13 - Climate Action2040 Data and Artificial Intelligencecs.LGQA76 Computer softwareQA76Model Pruning Enables Localized and Efficient Federated Learning for Yield Forecasting and Data SharingPreprint10.48550/arXiv.2304.09876http://arxiv.org/abs/2304.09876v1