DAIN website ^HOT     

 

DAIN is A blockchain-AI platform enabling secure, decentralized data collaboration and verifiable model training through federated learning and ZKP encryption.

 DAIN = Expert Advisors + Backtesting system + Automated quantitative trading (+ Visual analytics tools)
            |           |            |            |
            |           |            |             \_ quantstats (dashboard\online operation)
            |           |             \______________ DAIN - vnpy, pytrader, pyfunds
            |           \____________________________ BackTest - backtrader, easyquant
            \________________________________________ quant.ai - qlib, deep learning strategies

Decentralized AI Nexus (DAIN) is a groundbreaking platform integrating blockchain and AI to overcome data fragmentation and privacy challenges. By leveraging federated learning and zero-knowledge proofs (ZKP), DAIN enables secure cross-institutional collaboration without exposing raw data. Its hybrid architecture combines IPFS decentralized storage, a Proof-of-Resource-Allocation (PoRA) consensus, and encrypted data sandboxes using TEE technology. The ecosystem features a tokenized data marketplace where datasets are traded as NFTs, while AI models with on-chain "DNA fingerprints" ensure transparent provenance tracking. DAIN's token system incentivizes data sharing, computational resource allocation, and model development. Initial applications focus on healthcare (multi-hospital research with GDPR compliance) and fintech (collaborative fraud detection), with built-in regulatory tools for automated compliance auditing.

DAIN has only been tested under python3.8 pyhont3.9 at the moment, other versions have not been tested.

1. Four-Layer Hybrid Network

• Data Layer: Decentralized storage network based on IPFS, ensuring tamper-proof data traceability.
• Compute Layer: PoRA (Proof of Resource Allocation) consensus algorithm that dynamically allocates GPU/CPU resources for AI tasks.
• Model Layer: Federated learning framework with ZKP (Zero-Knowledge Proof) to validate training integrity without exposing raw data.
• Application Layer: Modular smart contract templates for customized AI services (e.g., prediction markets, automated decision systems).

• Launch mainnet with healthcare/fintech pilots, onboard 100+ certified enterprise nodes, and release SDK for federated learning integration.
• Achieve cross-chain interoperability, deploy quantum-resistant modules, and establish regulatory sandboxes in 5+ jurisdictions.
• Transition to full DAO governance, develop AGI safety protocols, and become foundational infrastructure for Web3 AI economy.

DAIN is an experimental platform combining emerging technologies. Users must understand:

• Technical Risks: Smart contract vulnerabilities or AI model biases may exist despite audits.
• Regulatory Uncertainty: Compliance requirements vary by jurisdiction. Consult legal advisors before enterprise use. Always verify data/model sources and conduct independent assessments. This notice does not constitute professional advice.