BOINC AI White paper
  • 🌍Abstract
  • 🌍1. BOINC AI Background
    • 1.1 Introduction to BOINC AI
    • 1.2 Introduction to BOINC AI Technology
    • 1.3 Supported AI Projects
  • 🌍2. BOBchain
    • 🌍2.1 BOBchain background
      • 2.1.1 AI development is proportional to arithmetic demand
      • 2.1.2 There is a paradox of sequencing between industry landing and technology diffusion
      • 2.1.3 Uneven Distribution of Arithmetic Power, and Lack of a Firm Community Base
      • 2.1.4 Lack of Mechanisms to Achieve Economic Circularity;
    • 2.2 Overview
    • 🌍2.3 Technical Features
      • 2.3.1 L1 Layer Network
      • 2.3.2 L2 Layer 2 Network
      • 2.3.3 PoVC Arithmetic Contribution Value Consensus
      • 2.3.4 Decentralized Distributed Storage of Encrypted Data;
      • 2.3.5 Proof of Zero Knowledge
      • 2.3.6 Blockchain Standardization for AI
  • 🌍3. BOINC AI Miner
    • 3.1 Hardware Binding and Verification
      • 3.1.1 Binding the Miner to the Chain
      • 3.1.2 Zero proof of knowledge is used for miner registration
      • 3.1.3 Mining Group Network Validation
      • 3.1.4 Compatible Smart Contracts
    • 3.2 Node Client
      • 3.2.1 Initialization of the Mining System
      • 3.2.2 Miner Hardware Identifier
      • 3.2.3 Proof of zero knowledge of the miner is submitted for validation
    • 3.3 AI Training and Validation
      • 3.3.1 Data Hashing
      • 3.3.2 Random Sampling
      • 3.3.3 Validating the AI Model
  • 🌍4. Data Privacy and Security
    • 4.1 Model Confirmation and Training Data Privacy and Security
    • 4.2 Distributed Cryptographic Storage
    • 4.3 Zero-knowledge proof protects user privacy
  • 🌍5. Artificial Intelligence Ecology
    • 5.1 BOINC AI Miner Community
    • 5.2 Web3 Standards for AI Ecology
    • 5.3 Decentralised Model Rental and Trading Marketplace
    • 🌍5.4 BOINC AI Foundation
      • 5.4.1 Overview
      • 5.4.2 Strategic Decision Committee
      • 5.4.3 Committee on Technology Development
      • 5.4.4 Public Relations Committee
      • 5.4.5 Secretariat
      • 5.4.6 Token economy model
    • 5.5 BOINC AI Team
    • 5.6 BOINC AI Development Roadmap
  • 🌍6. Super AI and AI Company
    • 6.1 Super AI Backgroud
    • 6.2 What can AI company do on the platform
    • 6.3 How does AI company issue STO tokens
    • 6.4 How to invest in AI companies in the miners
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  1. 2. BOBchain
  2. 2.3 Technical Features

2.3.5 Proof of Zero Knowledge

BOBchain uses L2 (Layer 2 networks) and zero-knowledge proofs at the BOINC AI server.

Effectively combining a two-layer network to increase the scalability and throughput of the blockchain and reduce transaction costs and confirmation times. Combined with the advantage that zero-knowledge proofs can be used to enhance privacy and security. This allows the AI blockchain mainnet to simultaneously balance more efficient processing of learning model transactions, and privacy and security of training data.

By using zero-knowledge proofs, users can verify the validity of their transactions without disclosing their specific transaction details. This is very useful in protecting the privacy of the users as the specific transaction details are known only between the participants and are not publicly recorded on the blockchain.

At the same time, zero-knowledge proofs can be used to enhance the security of BOINC AI Server L2 network nodes. By using zero-knowledge proofs, participants can prove that they own certain assets or fulfil specific conditions without having to disclose specific asset or condition information. This prevents malicious actors from accessing sensitive information or using information leakage for attacks.

In particular, in our PoVC arithmetic value consensus mechanism, for AI model training, the training data will not be recorded on the chain. The node responsible for training only needs to generate a proof using a specific key to prove to the training task publisher that "the training task is complete", and submit this zero-knowledge proof on the chain for verification by the task publisher. In this process, the model itself is not directly disclosed, nor is the data content used for training disclosed.

Therefore, the use of "Zero Knowledge Proof" for the L2 network nodes of BOINC AI server can provide better privacy protection and security while maintaining the transparency and verifiability of the blockchain. This provides users with a better user experience and higher security, and also promotes the further development and application of the combination of blockchain technology and AI technology.

Previous2.3.4 Decentralized Distributed Storage of Encrypted Data;Next2.3.6 Blockchain Standardization for AI

Last updated 1 year ago

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