specificity-aware-federated-graph-learning
CommunityPrivacy-first federated graph learning for fMRI.
Authorhiyenwong
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Privacy-preserving federated learning for multi-site fMRI data to balance shared knowledge with site-specific patterns.
Core Features & Use Cases
- Shared knowledge extraction via a common graph model
- Personalization to preserve site-specific demographics and connectivity
- Use cases include multi-center brain disease identification and rs-fMRI analysis, enabling privacy-preserving collaboration
Quick Start
Provide multi-site fMRI data and start the federated training run with shared and personalized branches.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: specificity-aware-federated-graph-learning Download link: https://github.com/hiyenwong/ai_collection/archive/main.zip#specificity-aware-federated-graph-learning Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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