Introducing Bluwhale
  • Introducing Bluwhale
  • Architecture
    • Overview
    • ERC-7231
    • Data Authentication
    • Bluwhale Link
    • Data Provider
    • Third-party Verification
    • On-chain Attestation
    • Trusted Execution Environment Cluster
    • About Trusted Execution Environments
    • Zero-Knowledge Proof
  • Verifier Nodes
    • Verifier Node Sale
    • Purpose of Verifier Nodes
    • Verifier Node Operations & App
    • Node Rewards & Projections
    • Node Licenses
    • Node Delegration
    • Node FAQs
  • Tokenomics
    • Utility
    • Distribution/Vesting
    • Staking
  • Bluwhale Community
    • Community Activations
    • Social & Community Links
    • Distributor & Referral Programs
    • Media Coverage
  • Resources
  • General FAQs
  • Brand Guidelines
  • Media Kit
  • Contact Us
  • Personalization Protocol
    • Overview
    • Architecture
      • Overview
      • Identity Layer
      • Data Storage Layer
      • Computation & Training Layer
      • Execution Layer
      • Verification Layer
  • How to Purchase Nodes
    • How to Purchase Nodes on Solana
  • Buyback Program
  • Why Verifier Nodes
  • How do Verifier Nodes Work
  • Bluwhale NFT License
  • Bluwhale Protocol Service
  • Trusted Execution Environment (TEE)
  • Verifier Node
  • Attestation
  • Delegation
  • SGX Attestation Verification
  • Verifier Node Sale Dynamics
  • Smart Contract Addresses
  • License Key (NFT)
  • Delegation
  • Node Rewards
  • Join Alphanet Verifier Nodes
  • Prerequisites
  • Delegation Tutorial
  • Operating a Verifier Node
  • Running in VPS
  • Running in CLI
  • Running in Desktop App
  • Explorer
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  1. Architecture

Trusted Execution Environment Cluster

The Bluwhale protocol operates a cluster of TEE nodes, each designated for specific functions. To participate, nodes must stake tokens and, in return, they earn rewards for their contributions but face penalties for any misconduct.

In the data processing workflow, a single TEE node is selected to handle each task. The node processes the data and then posts results on the blockchain, accompanied by TEE attestation, a timestamp, and a nonce to thwart replay attacks.

For AI model training, parameters are crucial for differentiating AI models, and most training models need to be run in a Trusted Execution Environment (TEE). The Bluwhale protocol natively supports AI training within a TEE, enabling AI companies to access high-quality data in a privacy-preserving manner, thus protecting both user data and model parameters.

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Last updated 10 months ago