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Vinnetwork proposes a decentralized artificial intelligence ecosystem powered by its native Vinnetwork (VIN) token. According to its whitepaper, the platform aims to address centralization issues in current AI development by creating a distributed network where users can securely share data, computational resources, and AI models.
The proposed system operates through three core layers: a Decentralized Data Layer (DDL) for secure data contribution and monetization, a Decentralized Compute Layer (DCL) creating a peer-to-peer marketplace for computational power, and a Decentralized Model Layer (DML) for collaborative AI development and sharing. Users would utilize VIN tokens to access services across all layers.
Key features include integration of Privacy-Enhancing Technologies such as federated learning, zero-knowledge proofs, and secure multi-party computation to enable AI training without exposing raw data. The platform initially launches as an ERC-20 token on Ethereum with plans to migrate to a dedicated blockchain optimized for AI workloads.
The project proposes issuing 2 billion VIN tokens with allocations including 35% for ecosystem incentives, 20% for public sale, 18% for foundation treasury, and 15% for team members. Target use cases include privacy-preserving medical diagnostics, DeFi risk modeling, and collaborative scientific research.