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