Work

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

Year: 2026

Type: article

Abstract: 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 model, and derives the sensitivity of benchmark statistics to the number of participating registries and the per-registry clipping bound. The framework is illustrated with a reanalysis of NASA POWER monthly air-temperature reanalysis for Accra, Ghana (2000-2023, 312 monthly observations, mean 26.521 C, warming trend 0.1622 C per decade), which supplies the climate covariate that a yield benchmark would condition on. Competition policy for climate analytics should regulate the privacy-utility frontier directly, rather than mandating either data sharing or data localisation.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.23606702

Authors: Okonkwo-Eze, Chiamaka Nwakaego, Bello, Ibrahim Dansuleiman, Iorpuu, Terseer Mvendaga

Institution: University of Ibadan

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Zero hunger

Open Access status: green

OpenAlex ID: W7223262723

FWCI:

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Related to: 10