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test/VAULTMESH-ETERNAL-PATTERN/funding-roadmap/diagrams/genai-health-federated-governance.mmd
Vault Sovereign 1583890199 Initial commit - combined iTerm2 scripts
Contains:
- 1m-brag
- tem
- VaultMesh_Catalog_v1
- VAULTMESH-ETERNAL-PATTERN

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-28 03:58:39 +00:00

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%% VaultMesh GenAI Health — Federated Learning + Governance Flow
%% Proposal: €3M HORIZON-HLTH-2025-CARE-01
%% Partners: VaultMesh (IE), DFKI (DE), UMC Utrecht (NL), Philips Healthcare (NL)
graph TB
subgraph DataSources["🏥 Federated Data Sources (Privacy-Preserving)"]
HOSPITAL1[Hospital A<br/>Electronic Health Records<br/>Germany — 10k patients]
HOSPITAL2[Hospital B<br/>Wearable + Lab Data<br/>Netherlands — 8k patients]
HOSPITAL3[Hospital C<br/>Imaging + Genomics<br/>France — 5k patients]
CLINIC[Primary Care Clinics<br/>Long-Term Health Monitoring<br/>Multi-Country — 20k patients]
end
subgraph Privacy["🔒 Privacy & Anonymization Layer"]
ANON[Data Anonymization<br/>Differential Privacy (ε=0.1)<br/>K-Anonymity (k≥10)]
ENCRYPT[Homomorphic Encryption<br/>Computation on Encrypted Data<br/>SEAL/Palisade Library]
CONSENT[Consent Management<br/>GDPR Art. 7 & 9 Compliance<br/>Dynamic Consent Updates]
WP2_PRIVACY[WP2: Privacy Infrastructure<br/>Lead: DFKI<br/>M1-12]
end
subgraph FederatedML["🤖 Federated Machine Learning"]
LOCAL_TRAIN1[Local Training — Site A<br/>No Raw Data Leaves Hospital<br/>Model Gradients Only]
LOCAL_TRAIN2[Local Training — Site B<br/>Secure Aggregation Protocol<br/>Encrypted Weight Updates]
LOCAL_TRAIN3[Local Training — Site C<br/>Edge Computing<br/>GPU Clusters On-Premise]
AGGREGATOR[Secure Aggregator<br/>Federated Averaging (FedAvg)<br/>Byzantine-Robust]
GLOBAL_MODEL[Global Model<br/>Disease Prediction (Diabetes, CVD)<br/>Treatment Recommendation]
WP3_ML[WP3: Federated Learning<br/>Lead: UMC Utrecht<br/>M4-18]
end
subgraph Governance["⚖️ AI Act Governance & Human-in-the-Loop"]
PSI[Ψ-Field Oversight<br/>Collective Sensing of Model Drift<br/>Bias Detection & Alerts]
ETHICS_BOARD[Ethics Review Board<br/>Continuous Monitoring<br/>IRB Integration]
HUMAN_REVIEW[Human-in-the-Loop<br/>Clinician Review of High-Risk Decisions<br/>AI Act Art. 14 Compliance]
EXPLAINABLE[Explainability Layer<br/>SHAP/LIME for Model Interpretation<br/>Clinician-Facing Dashboard]
WP4_GOV[WP4: Governance & Compliance<br/>Lead: VaultMesh<br/>M6-24]
end
subgraph VaultMesh["🏛️ VaultMesh Proof Infrastructure"]
RECEIPTS[Receipt Engine<br/>Every Training Round = Cryptographic Receipt<br/>Provenance Trail]
LAWCHAIN[LAWCHAIN<br/>Model Version History<br/>Immutable Audit Log]
FEDERATION[Federation Router<br/>Hospital-to-Hospital Secure Channel<br/>mTLS + Capability Exchange]
TREASURY[Treasury Subsystem<br/>Computation Cost Tracking<br/>Fair Resource Allocation]
WP1[WP1: Core Integration<br/>Lead: VaultMesh<br/>M1-6]
end
subgraph Deployment["🚀 Clinical Deployment Pipeline"]
VALIDATION[Clinical Validation<br/>Retrospective Study (n=5000)<br/>Prospective Trial (n=500)]
REGULATORY[Regulatory Pathway<br/>CE Mark (MDR)<br/>FDA Pre-Cert if US expansion]
INTEGRATION[EHR Integration<br/>HL7 FHIR API<br/>Philips IntelliSpace]
PILOT[🧪 UMC Utrecht Pilot<br/>Diabetes Risk Prediction<br/>12-Month Trial — M12-24]
WP5_PILOT[WP5: Pilots & Validation<br/>Lead: UMC Utrecht<br/>M12-24]
end
subgraph Policy["🇪🇺 EU Policy & Standards Compliance"]
AI_ACT[AI Act (Reg 2024/1689)<br/>Art. 10: High-Risk System Data Governance<br/>Art. 14: Human Oversight]
GDPR[GDPR (Art. 9)<br/>Special Category Health Data<br/>Explicit Consent + Safeguards]
MDR[Medical Device Reg (MDR)<br/>Class IIa/IIb Risk Classification<br/>Clinical Evidence Requirements]
EHDS[European Health Data Space<br/>Data Altruism + Secondary Use<br/>Cross-Border Access]
end
subgraph Outcomes["📊 Expected Outcomes & KPIs"]
KPI1[20% Diagnostic Accuracy Improvement<br/>vs. Current Clinical Baselines]
KPI2[30% Reduction in Data Collection Time<br/>Federated vs. Centralized]
KPI3[5+ Hospital Network<br/>Cross-Border Federation Active]
KPI4[0 Privacy Breaches<br/>Differential Privacy Guarantees]
KPI5[10+ Publications<br/>Top-Tier Medical AI Venues]
end
%% Data → Privacy Flow
HOSPITAL1 --> ANON
HOSPITAL2 --> ANON
HOSPITAL3 --> ANON
CLINIC --> ANON
ANON --> ENCRYPT
ENCRYPT --> CONSENT
CONSENT -.->|"Audit Trail"| RECEIPTS
%% Privacy → Federated ML
CONSENT --> LOCAL_TRAIN1
CONSENT --> LOCAL_TRAIN2
CONSENT --> LOCAL_TRAIN3
LOCAL_TRAIN1 -->|"Encrypted Gradients"| AGGREGATOR
LOCAL_TRAIN2 -->|"Encrypted Gradients"| AGGREGATOR
LOCAL_TRAIN3 -->|"Encrypted Gradients"| AGGREGATOR
AGGREGATOR --> GLOBAL_MODEL
%% Federated ML → Governance
GLOBAL_MODEL -->|"Model Artifact"| PSI
GLOBAL_MODEL -->|"Prediction Requests"| HUMAN_REVIEW
PSI -->|"Drift Alerts"| ETHICS_BOARD
ETHICS_BOARD -->|"Review Decision"| HUMAN_REVIEW
HUMAN_REVIEW --> EXPLAINABLE
EXPLAINABLE -.->|"Clinician Feedback"| GLOBAL_MODEL
%% VaultMesh Integration
RECEIPTS -->|"Training Receipt"| AGGREGATOR
RECEIPTS -->|"Governance Decision Receipt"| HUMAN_REVIEW
LAWCHAIN -->|"Model Version Chain"| GLOBAL_MODEL
LAWCHAIN -->|"Audit Queries"| ETHICS_BOARD
FEDERATION -->|"Hospital Network"| AGGREGATOR
TREASURY -->|"Computation Metering"| LOCAL_TRAIN1
TREASURY -->|"Computation Metering"| LOCAL_TRAIN2
TREASURY -->|"Computation Metering"| LOCAL_TRAIN3
%% Deployment Pipeline
GLOBAL_MODEL --> VALIDATION
VALIDATION --> REGULATORY
REGULATORY --> INTEGRATION
INTEGRATION --> PILOT
PILOT -.->|"Clinical Feedback"| GLOBAL_MODEL
%% Policy Compliance
CONSENT -->|"GDPR Art. 9"| GDPR
PSI -->|"AI Act Art. 14"| AI_ACT
HUMAN_REVIEW -->|"AI Act Art. 14"| AI_ACT
VALIDATION -->|"MDR Evidence"| MDR
FEDERATION -->|"EHDS Cross-Border"| EHDS
ANON -->|"GDPR Art. 25 (Privacy by Design)"| GDPR
%% Work Package Dependencies
WP1 --> RECEIPTS
WP1 --> LAWCHAIN
WP1 --> FEDERATION
WP2_PRIVACY --> ANON
WP2_PRIVACY --> ENCRYPT
WP2_PRIVACY --> CONSENT
WP3_ML --> AGGREGATOR
WP3_ML --> GLOBAL_MODEL
WP4_GOV --> PSI
WP4_GOV --> ETHICS_BOARD
WP4_GOV --> HUMAN_REVIEW
WP5_PILOT --> PILOT
WP5_PILOT --> VALIDATION
%% Ψ-Field Collective Intelligence
PSI -.->|"Cross-Site Anomaly Patterns"| AGGREGATOR
LOCAL_TRAIN1 -.->|"Site A Metrics"| PSI
LOCAL_TRAIN2 -.->|"Site B Metrics"| PSI
LOCAL_TRAIN3 -.->|"Site C Metrics"| PSI
%% Outcomes Tracking
GLOBAL_MODEL -->|"Accuracy Metrics"| KPI1
AGGREGATOR -->|"Training Efficiency"| KPI2
FEDERATION -->|"Network Growth"| KPI3
ENCRYPT -->|"Privacy Guarantees"| KPI4
VALIDATION -->|"Research Output"| KPI5
classDef data fill:#e3f2fd,stroke:#01579b,stroke-width:2px
classDef privacy fill:#f3e5f5,stroke:#6a1b9a,stroke-width:2px
classDef ml fill:#c8e6c9,stroke:#2e7d32,stroke-width:2px
classDef governance fill:#fff9c4,stroke:#f57f17,stroke-width:3px
classDef vaultmesh fill:#ffccbc,stroke:#bf360c,stroke-width:2px
classDef deployment fill:#b2dfdb,stroke:#004d40,stroke-width:2px
classDef policy fill:#e1bee7,stroke:#4a148c,stroke-width:2px
classDef outcomes fill:#ffe0b2,stroke:#e65100,stroke-width:2px
class HOSPITAL1,HOSPITAL2,HOSPITAL3,CLINIC data
class ANON,ENCRYPT,CONSENT privacy
class LOCAL_TRAIN1,LOCAL_TRAIN2,LOCAL_TRAIN3,AGGREGATOR,GLOBAL_MODEL ml
class PSI,ETHICS_BOARD,HUMAN_REVIEW,EXPLAINABLE governance
class RECEIPTS,LAWCHAIN,FEDERATION,TREASURY vaultmesh
class VALIDATION,REGULATORY,INTEGRATION,PILOT deployment
class AI_ACT,GDPR,MDR,EHDS policy
class KPI1,KPI2,KPI3,KPI4,KPI5 outcomes