XFL is a lightweight, high-performance federated learning framework supporting both horizontal and vertical FL. It integrates homomorphic encryption, DP, secure MPC, and optimizes network resilience. Compatible with major ML libraries and deployable via Docker or Conda.

Features

  • Supports horizontal and vertical federated learning models
  • Implements homomorphic encryption, differential privacy, MPC
  • Optimized for high latency, packet loss, unstable network
  • Can run with CPU, GPU, or hybrid nodes
  • Integrates with PyTorch, TensorFlow, PaddlePaddle, JAX
  • Easy deployment in Docker or Conda environments

Project Samples

Project Activity

See All Activity >

License

Apache License V2.0

Follow Xfl

Xfl Web Site

Other Useful Business Software
Gemini 3 and 200+ AI Models on One Platform Icon
Gemini 3 and 200+ AI Models on One Platform

Access Google's best plus Claude, Llama, and Gemma. Fine-tune and deploy from one console.

Build generative AI apps with Vertex AI. Switch between models without switching platforms.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Xfl!

Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Federated Learning Frameworks

Registered

2025-07-15