How it Works?

Decentralized Federated Learning is a paradigm shift in AI privacy.

Through a collaborative effort, distributed devices train and refine AI models, all while ensuring data privacy and security, fostering a sense of community and shared responsibility.

Leveraging blockchain transparency to secure the process and to re-align incentives of participants and avoid a single point of failure.