ZkAGI

ZkAGI.ai is an open-source framework for building privacy-preserving AI infrastructure. It uses federated learning and zero-knowledge proofs to ensure that data owners retain control over their data while still allowing it to be used for training AI models.

Key features:

• Decentralized physical infrastructure network (DePIN) for improved fault tolerance, scalability, and reduced latency.
• Incentives for GPU providers, model trainers, AI developers, and data owners.
• Data ownership with mechanisms like federated learning and zero-knowledge proofs.

Benefits:

• More powerful AI infrastructure
• Incentives for stakeholders involved in AI development
• Increased data privacy

Target audience:

• Businesses and organizations looking to develop AI models with privacy guarantees
• Researchers interested in decentralized AI infrastructure