Federated learning of crop-disease classifiers across quarantine-silenced phytosanitary archives: a computer-science evaluation of privacy-utility trade-offs for cross-border outbreak analytics
Phytosanitary archives hold the labelled crop-disease observations that cross-border outbreak analytics require, yet quarantine regulation, commercial confidentiality and national data sovereignty keep those archives closed to centralised training. the present analysis formalises federated learning over such archives a...