FedHF is a Python-based simulator for flexible, heterogeneous, and asynchronous federated learning research. It provides configurable resource models, supports asynchronous protocols, and accelerates experimentation.

Features

  • Loose coupling of client/server for FL simulations
  • Supports asynchronous federated protocols
  • Models heterogeneous device/resource performance
  • Configurable via Python APIs
  • Accelerates prototyping of FL algorithms
  • Apache‑2.0 licensed with documentation

Project Samples

Fedhf Screenshot 1

Project Activity

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Categories

Federated Learning Frameworks

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
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