Introduction

This section provides an overview of ICOS-FL, a federated learning framework for resource monitoring and prediction.

• Overview
  • What is ICOS-FL?
  • Architecture
  • Key Features
  • Use Cases
• Quickstart
  • Prerequisites
  • Installation
  • Deploying the Communication Layer
  • Network Communication
  • Running Federated Learning
  • Customizing Configuration
  • Monitoring Training Progress
  • Next Steps
  • Useful Resources
• Installation
  • Requirements
  • Python Dependencies
  • Installing ICOS-FL
  • Setting Up Flower Infrastructure
  • Setting Up Data Collection Pipeline
  • Optional Components
  • Verifying Installation
  • Testing Your Installation
  • Troubleshooting
  • Next Steps
• Frequently Asked Questions
  • General Questions
  • Technical Questions
  • Federated Learning Questions
  • Performance and Scaling