A Python-based framework for federated learning simulation, emphasizing modularity, communication efficiency, and algorithmic flexibility. Supports both server- and client-side customization for research and development purposes.

Features

  • Modular simulation of FL workflows (communication, optimization, compression)
  • Customizable server/client logic via plug-in modules
  • Scales to diverse computation & network scenarios
  • PyPI-installable (pip install fedlab) or cloneable from GitHub
  • Compatible with PyTorch models
  • Focused on efficient algorithm experimentation

Project Samples

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License

Apache License V2.0

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Federated Learning Frameworks

Registered

2025-07-15