EdegX WhitePaper v1
  • Overview
  • Background & Trends
    • Computing Power Market
    • Challenges and opportunities
      • Challenges in Computing Power Centers
      • Edge Computing Trend
      • Web3-Driven Edge Network
  • EdgeX Project
    • Summary
    • Competitiveness
      • Community-Driven Ecosystem Construction
      • Decentralized AI Edge Computing Network
      • Real-World business Income
    • How to do
  • Core Technology
    • Computing Scheduling Framework
    • Ai Agent
      • Ai-Agent System Framework
      • Ai-Prouct Ai-Agent Framework
      • High Computing Edge Node Ai-Agent Framework
    • EdgeX OS
      • Core components
    • Ai-Products
  • Tokenomics
    • Overview of Token Economy and Incentive System
      • Tokenomics
      • Token Categories and Supply
        • Total Supply and Distribution of $EX:
        • Mining of $EX Token:
          • PoW（Edge Node）
          • POS（Edge Server）
        • EdgeX Points:
    • Incentive Mechanism
      • EdgeX Points Acquisition
      • Token Acquisition and Conversion
      • $EX Token Governance
  • Conclusion
    • Commercial Services
    • Protocols
  • Roadmap
    • Roadmap
      • Startup (Q2-Q4.24)
      • Verify (Q1-Q2.25)
      • EdgeX 1.0 (Q3.25 - Q2.26)
    • Cooperation
  • Team
    • Team
    • Adviser
    • Partner
  • Disclaimer
  • References
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  1. Conclusion

Protocols

AI Smart Agent and Application Layer Interfaces (AI Agent & Application Layer)

1. Role of AI Agent and Localized AI Inference Capabilities in the Network AI Agents play a crucial role in localizing AI inference within the network. They enable real-time processing of data directly at the edge, enhancing efficiency and reducing latency while ensuring that the computational load is distributed effectively across the network.

2. Application Development APIs and SDKs EdgeX provides developers with easy-to-use APIs and SDKs, enabling seamless integration of AI capabilities and distributed computing resources into their applications. This empowers developers to quickly build and deploy AI-powered solutions across edge devices.

3. Data Privacy and Secure Computing Technologies EdgeX integrates advanced technologies such as Multi-Party Computation (MPC), Trusted Execution Environment (TEE), and Trusted Platform Module (TPM) to guarantee the privacy and security of user data. These technologies ensure that sensitive information is protected, enabling secure computations and fostering trust in the ecosystem

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Last updated 4 months ago