SLOR Protocol Docs
  • Project Overview
  • Market Pain Points
  • Solution
  • Technical Architecture
  • Core Modules (RWA / AI / Payments)
    • RWA Module
    • AI Module
    • Crypto Payment Module
    • Synergy of Three Core Modules
  • Interaction Flow and Mechanism Details
    • RWA
      • Asset On-Chain Process (Registration and Ownership Verification)
      • Asset Circulation and Transaction Process
      • Pledge/Collateralization Process
      • Compliance and Auditing Assurance
      • Technical Summary
    • AI
      • Core Technology Framework
      • Interaction Flow Overview
      • Pledge/Collateralization Process
      • Core Technical Mechanisms
      • Privacy and Security Assurance
      • Example Application Scenarios
      • Economic and Incentive Mechanisms
    • Slor Blockchain Payment System and TitanPay Payment
      • Overall Payment Architecture Components
      • Standard Payment Process (User → Merchant)
      • Contract Logic Mechanisms
      • Cross-Border Payment Scenarios (TitanPay Scenario Adaptation)
      • Security and Risk Control Protections
    • Stablecoin Issuance
      • Objectives:
      • Stablecoin Issuance Structure
      • Stablecoin Minting Process
      • Stablecoin Redemption Process (Burning)
      • Liquidation Process (Low Collateral Ratio)
      • Collateral Support and Parameter Configuration
      • Ecological Use Cases
      • Development Stages
  • Tokenomics
    • Basic Information
    • Core Uses Overview
    • Value Loop Design
    • $SLOR Token's Role in the Ecosystem
    • Incentive Mechanisms
  • Network Node Roles
    • Node Types and Their Responsibilities
    • Community & Governance
  • Legal & Compliance
  • Developer Documentation
  • Roadmap
  • FAQ & Support
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  1. Interaction Flow and Mechanism Details
  2. AI

Core Technology Framework

Component
Technical Explanation

User Data Processing

Local encryption and sharding followed by upload; encryption collaboration using MPC protocol for inference.

Computing Nodes

Slor AI MPC node cluster that performs AI model inference, independently processing shard data without direct plaintext access.

Scheduling System

On-chain scheduling contracts on the Slor network, responsible for node allocation, task dispatch, result collection, and on-chain recording.

Model Management

Supports on-chain model registration, version control, call permissions, and paid authorizations.

Result Ownership

The inference result generates a hash summary, is recorded on-chain, and sent back to the user, forming a proof of trusted execution.

PreviousAINextInteraction Flow Overview

Last updated 27 days ago