AIET
  • AIET Net intro
    • Key Features and Characteristics
    • Solution
    • Technical Architecture
    • About the Team
  • Partners and Supporters
  • Detailed Roadmap
  • About the Network
  • Token Economics
  • AIET Training and Inference Models
  • 🔗Links
  • Privacy Policy
  • Terms of Service
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  • Decentralized AI Training and Inference Solution
  • Data Compliance and Privacy Protection
  • Cross-Chain Data Sharing and Interaction
  • Enhanced Data Processing Efficiency
  • Improved User Experience and Platform Accessibility
  • Smart Contract Automation
  1. AIET Net intro

Solution

Decentralized AI Training and Inference Solution

AIET addresses this by implementing decentralized network architecture and Fully Homomorphic Encryption (FHE) technology, enabling AI training and inference without exposing raw data, thereby safeguarding user data privacy and security.

Data Compliance and Privacy Protection

Leveraging FHE and Differential Privacy technologies, AIET ensures the security and privacy of data during processing while ensuring that enterprises' data processing activities comply with international data protection regulations.

Cross-Chain Data Sharing and Interaction

AIET supports cross-chain functionality, securely enabling data sharing and processing between different blockchain platforms, enhancing data availability and expanding its potential value.

Enhanced Data Processing Efficiency

Through distributed computing resources and optimized homomorphic encryption algorithms, AIET significantly improves data processing speed and efficiency while reducing costs.

Improved User Experience and Platform Accessibility

AIET provides user-friendly interfaces and APIs, simplifying complex data encryption and processing workflows, enabling even non-technical users to easily utilize the platform.

Smart Contract Automation

AIET utilizes smart contracts to automate transaction processing and contract execution, ensuring transparency and security in the process, reducing the potential for human error and fraud.

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Last updated 1 year ago

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