ksb-d09-k0106

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Federated Learning for Multi-Site Studies: Mastery of federated learning approaches for multi-site pharmacovigilance studies including privacy-...

nexvigilant By nexvigilant schedule Updated 2/2/2026

name: "KSB-D09-K0106" description: "Federated Learning for Multi-Site Studies: Mastery of federated learning approaches for multi-site pharmacovigilance studies including privacy-..." version: "1.0.0" domain: "D09" domain_name: "Post-Authorization Studies" type: "Knowledge" proficiency_level: "L5" bloom_level: "evaluate" triggers: - "explain federated learning for multi-site studies" - "what is federated learning for multi-site studies" - "evaluate federated learning for multi-site studies" epa_mapping: "EPA-02, EPA-04, EPA-05" cpa_mapping: "CPA-02, CPA-07" regulatory_refs: ""

KSB-D09-K0106: Federated Learning for Multi-Site Studies

Overview

Domain: D09 - Post-Authorization Studies Type: Knowledge Proficiency Level: L5 (Expert - Can supervise others) Bloom Level: Evaluate

Description

Mastery of federated learning approaches for multi-site pharmacovigilance studies including privacy-preserving distributed analytics, secure multi-party computation, collaborative model training, and federated signal detection methods.

Context

  • Major Section: AI in Post-Authorization Studies
  • Section: Federated Learning PV

EPA Mapping

  • EPA-02:3004-3005
  • EPA-04:3009-3010
  • EPA-05:3011-3012

CPA Pathway

  • CPA-02, CPA-07

Regulatory References

  • General PV competency

Instructions

When this skill is activated, Claude should:

  1. Demonstrate L5 proficiency in federated learning for multi-site studies
  2. Apply evaluate level cognitive skills to evaluate the topic
  3. Reference relevant regulatory guidance (general PV standards)
  4. Connect to related EPAs: EPA-02, EPA-04, EPA-05

Key Competencies

  • Mastery of federated learning approaches for multi-site pharmacovigilance studies including privacy-preserving distributed analytics, secure multi-party computation, collaborative model training, and federated signal detection methods.

Assessment Criteria

  • Can evaluate core concepts independently
  • Demonstrates understanding of regulatory context
  • Applies knowledge appropriately to PV scenarios

Related Skills

  • Other D09 skills in Federated Learning PV
  • Cross-domain integrations per DAG architecture

Generated from PV KSB Framework v1.0 | 2025-12-31

Install via CLI
npx skills add https://github.com/nexvigilant/.true --skill ksb-d09-k0106
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