Build, train, and deploy machine learning models collaboratively without compromising data privacy. Sui-FL combines the power of federated learning with blockchain technology for secure, decentralized AI.
Experience the next generation of collaborative machine learning with our cutting-edge platform
Train models without exposing raw data. Federated learning ensures your data stays local and secure.
Built on Sui blockchain for transparent, trustless collaboration between multiple parties.
Leverage Walrus for efficient, decentralized storage of model weights and training artifacts.
Enable multiple users to collaborate on model training while maintaining data sovereignty.
Publish and share trained models securely with built-in versioning and access controls.
Optimized for speed and efficiency with advanced aggregation algorithms and parallel processing.
How Sui FL orchestrates federated learning across the decentralized network
Each participant trains models locally on their private data, ensuring data never leaves their environment.
The backend securely aggregates model updates without accessing raw data, creating a globally improved model.
The improved global model is stored on Walrus and registered on Sui, then distributed back to all participants for the next training round.