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
99.99% Uptime for MySQL and PostgreSQL Databases
Cloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Xfl!