heady-federated-brain
OfficialPrivacy-preserving federated learning across edges.
Software Engineering#checkpoints#privacy#edge-computing#distributed-training#federated-learning#secure-aggregation
AuthorHeadyAI
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Orchestrates privacy-preserving distributed model training across Heady's edge and cloud runtimes without exposing raw data, enabling scalable collaboration.
Core Features & Use Cases
- Privacy-preserving federation: phi-weighted averaging with differential privacy guarantees.
- Cross-environment orchestration: coordinates Cloudflare Workers AI, Colab Pro+ runtimes, and Cloud Run origin.
- Checkpointing and convergence: Fibonacci-style model checkpoints and convergence monitoring for safe rollbacks and auditing.
Quick Start
Start a federation by registering at least three nodes and triggering a federation round start.
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: heady-federated-brain Download link: https://github.com/HeadyAI/heady-context/archive/main.zip#heady-federated-brain Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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