Privacy-Preserving Federated Inference for Computer Agriculture Yield Prediction Under Cross-Farm Data Siloing: An Artificial Intelligence Differential-Privacy Utility Bound

Cross-farm data siloing prevents the pooling of yield records that would otherwise support accurate prediction, yet the privacy loss incurred by federated inference under differential privacy has not been bounded in a form that links the privacy budget to agronomic decision error. the present ana