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

See All Activity >

Categories

Federated Learning Frameworks

License

Apache License V2.0

Follow Fedhf

Fedhf Web Site

Other Useful Business Software
$300 Free Credits to Build on Google Cloud Icon
$300 Free Credits to Build on Google Cloud

New to Google Cloud? Get $300 in credits to explore Compute Engine, BigQuery, Cloud Run, Gemini Enterprise Agent Platform, and more.

Start your next project with $300 in free Google Cloud credit. Spin up VMs, run containers, query petabytes in BigQuery, or build agents with Gemini Enterprise Agent Platform. Once your credits are used, keep building with 20+ always-free tier products including Compute Engine, Cloud Storage, GKE, and Cloud Run functions. No commitment required—just sign up and start building.
Claim $300 Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Fedhf!

Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Federated Learning Frameworks

Registered

2025-07-15
Report inappropriate content