Fed2Tier

Fed2Tier is a novel two-tier federated learning framework aimed at efficient and green computation. It represents an innovative approach to distributed machine learning that emphasizes privacy, scalability, and environmental sustainability. The Fed2Tier framework seeks to enhance model generalizability by involving a greater number of edge devices in the training process. Check out the Overview of Fed2Tier section for further information, including how to Installation the project.

Note

This project is under active development.

Contents

• Overview of Fed2Tier
  • Introduction
  • Overview
• Installation
  • Install the package
• Tutorials
• Contribution to Fed2Tier
  • Reporting bugs
  • Contributing to Fed2Tier
  • Pull Request Checklist
• Reference
• API Reference
  • fed2tier
  • fedavg
  • feddyn
  • scaffold
  • fedadagrad
  • fedadam
  • fedyogi
  • fedprox

Contacts

Contact the Fed2Tier development team through Github issues or email:

• Development Team: fed2tier.team@gmail.com