Artificial Intelligence Governance of Differential Privacy Budget Allocation in Federated Clinical Learning Under Unmeasured Health Ministry Disclosure Audit Frequency: A Healthcare Privacy-Political Bargaining Evaluation

Counts differ because each database indexes a different set of publications. We treat OpenAlex as the canonical count; Google Scholar is not shown (no API, and crawling it violates its ToS).

Differential privacy budget allocation in federated clinical learning is typically treated as a technical parameter to be optimised against model utility. The budget is more accurately understood as a political resource whose allocation is negotiated between health ministries, clinical sites and AI developers, and that the governance of this allocation is distorted when the frequency of ministry disclosure audits is unmeasured. A replication-based evaluation of the before-after-control-impact estimator is used to characterise the operating characteristics of a design that would recover audit-frequency effects under a declared variance structure (between-cluster SD = 6.0, residual SD = 4.5, intraclass correlation = 0.64). Power was estimated across 2000 design cells for cluster counts of 8, 16, 24 and 32 and effect sizes of 3, 5 and 8 percentage points. The analysis indicates that 54 clusters are required for 80 per cent power at a 5 percentage point effect, and that the intraclass correlation of 0.64 substantially constrains what federated designs can detect. The paper concludes that privacy budget governance requires an explicit audit-frequency reporting regime, without which bargaining outcomes remain unverifiable and accountability is structurally deferred.

• Interpretability Bounds for Federated Clinical Text Classifiers Under Differential Privacy Noise Injection: A Computer Privacy-Utility Evaluation

  Zenodo (CERN European Organization for Nuclear Research) 2026 · 0 citations

• Evaluation of Differential Privacy Budget Allocation for Artificial Intelligence Agriculture Yield-Prediction Models Under Cooperative Data-Sharing Consortia: A Governance Privacy-Utility Bound for Smallholder Participation

  Zenodo (CERN European Organization for Nuclear Research) 2026 · 0 citations

• Interpretability Audits of Federated Clinical Text Classifiers Under Differential Privacy Budget Depletion: A Computer Fairness Estimation

  Zenodo (CERN European Organization for Nuclear Research) 2026 · 0 citations

• Federated Learning Under Non-IID Patient Distributions for Malaria Diagnosis in Low-Connectivity Clinics: A Robustness Evaluation of Differential Privacy Budgets

  Zenodo (CERN European Organization for Nuclear Research) 2026 · 0 citations

• Privacy-Budget Evaluation for Computer Agriculture Federated Pest-Outbreak Detection Under Cross-Farm Sample Heterogeneity: An Artificial Intelligence Differential-Privacy Utility Bound

  Zenodo (CERN European Organization for Nuclear Research) 2026 · 0 citations

• Causal Feature Attribution for Artificial Intelligence Triage Models Under Differential Privacy in Community Health Registries: A Healthcare Fairness Estimation

  Zenodo (CERN European Organization for Nuclear Research) 2026 · 0 citations