Bayesian
  • 💚Bayesian
  • 🟢Abstract
  • 🟢Background & Origin
    • 🟩1.0 Innovation in AI and Blockchain
    • 🟩1.2 Supercomputing is the future
    • 🟩1.3 Bayes' theorem
    • 🟩1.4 Bayesian Global AI
    • 🟩1.5 BDCP
  • 🟢Architecture
    • 🟩2.1 Technical protocol
    • 🟩2.2 Network layer
    • 🟩2.3 Data Layer
    • 🟩2.4 Model layers
    • 🟩2.5 Application Layer
    • 🟩2.6 Value Layer
  • 🟢Platform overview
    • 🟩3.1 Token distribution
    • 🟩3.2 Deflationary value
  • 🟢Ecosystem
    • 🟩4.1 Highlights & Advantages
    • 🟩4.2 Activation plan
    • 🟩4.3 Bayesian Network Protocol
    • 🟩4.4 Supported Items
    • 🟩4.5 WEB3 and the Metaverse
  • 🟢Bayesian Foundation
    • 🟩Bayesian Foundation Ld.
    • 🟩5.1 Strategic Decision Committee
    • 🟩5.2 Technology Development Committee
    • 🟩5.3 Public Relations Committee
    • 🟩5.4 Secretariat
    • 🟩5.5 Scientists
  • 🟢Development line
    • 🟩6.1 Development Route
    • 🟩6.2 The first cooperative institutions
  • 🟢References
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  1. Architecture

2.4 Model layers

BDCP is based on distributed machine learning and provides opportunities to generate more value for user data while ensuring data privacy and security. The BDCP model layer is the core technology for protecting the privacy of multiple users in a distributed network of computations. Personal information is used in various models provided by distributed machine learning to realize personal digital value. At the same time, BDCP is highly scalable. In the future, it can serve the blockchain ecosystem by providing fast access to other publicly linked data through various cross-chain protocols.

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Last updated 2 years ago

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