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Differentially private federated crop-yield benchmarking across sovereign agricultural registries: a privacy-utility frontier analysis for climate analytics competition policy

Okonkwo-Eze, Chiamaka Nwakaego et al.
Zenodo (CERN) · Papers
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differential-privacyfederated-learning
Sovereign agricultural registries hold the crop-yield records that climate-analytics competition policy needs, yet the same records are personal data whose release is constrained by national privacy law. The framework combines a federated Laplace and Gaussian mechanism with a stratified yield mod
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