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Beyond Public Data: Unlocking AI's Next Frontier with Secure Private Data
Learn how to build a decentralized, TEE‑based, encrypted data access system with blockchain, enabling secure private data aggregation for AI training, with code examples.
This session will provide a technical deep dive into building secure data access infrastructure that enables AI systems to train on private data without compromising privacy or security. We’ll walk through the complete architecture of a decentralized data access system that uses Trusted Execution Environments (TEEs), encryption, and blockchain technology to create a trustless environment for data access.
You’ll leave with practical knowledge of the technical challenges in private data aggregation and working code examples you can adapt for your own projects.
Vana is an open network for user-owned data, powering an AI economy.
This service transforms encrypted data via Docker, uploads to IPFS, and registers on-chain.
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