Byzantine-Resistant Federated Learning with Proof of Gradient Quality (PoGQ)
This is the landing page for mycelix.net, focused on showcasing the PoGQ+Rep innovation for Byzantine-resistant federated learning.
- 100% Attack Detection Rate at 45% adversarial ratio
- 45% Byzantine Tolerance (exceeding traditional 33% BFT limit)
- +23pp Accuracy Improvement over Multi-Krum baseline
- Create repository:
Luminous-Dynamics/mycelix.net - Push this directory to the repository
- Enable GitHub Pages in Settings → Pages
- Source: Deploy from branch
main/(root)
# Navigate to this directory
cd /srv/luminous-dynamics/Mycelix-Protocal-Framework/_websites/mycelix.net-pogq
# Initialize git
git init
git add .
git commit -m "🚀 Launch mycelix.net: Byzantine-Resistant Federated Learning"
# Add remote (create repo first on GitHub)
git remote add origin git@github.com:Luminous-Dynamics/mycelix.net.git
# Push
git branch -M main
git push -u origin main./deploy.shDNS is already configured via Cloudflare:
CNAME mycelix.net -> luminous-dynamics.github.io
Once GitHub Pages is enabled, the site will be live at https://mycelix.net
This landing page is PoGQ-focused (not full 5-layer protocol):
✅ DO Highlight:
- Proof of Gradient Quality innovation
- 100% detection, 45% tolerance
- Healthcare application (HIPAA-compliant)
- Grand Slam experimental validation
- Open-source implementation
❌ DON'T Include:
- Full 8-layer protocol vision
- Mystical/philosophical language
- Unimplemented features
- "Infinite Love" or "Sacred" terminology
- Grant Reviewers (NSF, NIH)
- Academic Researchers (ML security, FL)
- Healthcare IT (Hospital CIOs, HIPAA compliance)
- Open-Source Contributors (GitHub community)
- Main Repository: https://github.com/Luminous-Dynamics/mycelix
- Whitepaper (coming Jan 2026): MLSys/ICML submission
- Contact: tristan.stoltz@evolvingresonantcocreationism.com
Last Updated: October 14, 2025 Status: Ready for deployment