Multiple Network
  • Multiple Network
    • Intro
    • Problem
    • The Purpose
  • 🔥TESTNET
    • Testnet Timeline
    • Testnet Guide
      • For Windows Users
      • For Linux Users
      • For Chrome Users
      • For AI Desktop Users
    • MultiPass Validator Node Testnet
      • Parallel Operation of Testnets
      • Node Incentive Mechanism
      • Entry Requirements
      • Node Device Hardware & Environmental Requirements
      • MultiPass Authorization Card
      • FAQ
  • 🚀Multple Product
    • Architectural Breakdown
      • Introducing De-WAN
      • AI Acceleration
      • AI Privacy
      • DeAI
    • Key Features & Edges
    • Potential Opportunities with Multiple Network
  • 🪙Multiple Tokenomics
    • MTP Token
    • Tokenomics
  • Resourse
    • FAQ
    • Roadmap
    • Investors
    • UPnP Enabling Guide
    • Referral Link
    • Social Media Links
    • Glossary
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  1. Multple Product
  2. Architectural Breakdown

AI Privacy

Privacy Protection and Security

  • Anonymous Communication: Utilizing the anonymity features of P2P networks, data transmission does not expose the real identities of participating nodes, thus protecting user privacy.

  • Encrypted Transmission: Through end-to-end encryption technology, ensure that data cannot be intercepted or tampered with during transmission, making it particularly suitable for processing sensitive data in AI models.

  • Secure Data Exchange Mechanism: During the invocation and inference of AI models, ensure that API and data exchanges are conducted under high-security standards, effectively preventing network attacks and data breaches.

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Last updated 5 months ago

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