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
Categories
Federated Learning FrameworksLicense
Apache License V2.0Follow Xfl
Other Useful Business Software
$300 Free Credits for Your Google Cloud Projects
Launch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Xfl!