What is the Galaxy Federated Learning Tool Assembly?
Galaxy Federated Learning is a decentralized federated learning framework based on blockchain technology. It is designed to train models with distributed data while maintaining data ownership and model interest. Galaxy FL aims to improve network bandwidth utilization and maintain security under malicious node attacks, offering a novel approach to FL.
What can you use the Galaxy Federated Learning Tool Assembly for?
- Decentralized FL with blockchain-based security
- Data ownership and model interest management
- Improved bandwidth utilization and security
Limitations/Remarks
- Ongoing development and optimization
- Novel approach may introduce integration challenges
Specific Use Cases/Applications
- AI development with data privacy and ownership requirements
- Decentralized FL in environments with malicious nodes
How to access the Galaxy Federated Learning Tool Assembly?
- GitHub Repository
- Install via pip or from source
References
Original Framework Contributors
- Galaxy FL Community
For a full list, see the Galaxy FL GitHub contributors.
More information
Training
Affiliations
Editor
KU Leuven / University of UHasselt