Decentralized AI
  • introduction
    • 📚The Problem with Current AI: A Call for Change
    • 📔Introduction: The Next Frontier of Artificial Intelligence
  • How it Works
    • 🖥️How DEAI Works: Powering a Decentralized AI Ecosystem
      • Decentralized Data Governance
      • Federated Learning for Secure Collaboration
      • Fully Homomorphic Encryption (FHE)
      • Cypher Blockchain: A Decentralized Backbone
      • Ecosystem Integration and Future-Ready Design
    • 🔑Key Features & Advantages: Why DEAI Is Different
      • Privacy and Security First
      • Democratized Governance
      • Open-Source and Developer-Friendly
      • Scalability Across Industries
      • Incentive-Driven Ecosystem
      • Green AI Initiatives
      • Cypher Blockchain Integration
      • Future-Ready Design
    • ⚒️How DEAI Transforms Industries: Real-World Impact
  • Tokenomics
    • 💰Tokenomics: Driving the DEAI Ecosystem
  • Roadmap
    • 🚩Roadmap: A Vision for the Future
  • FAQ
    • ❓FAQ
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  1. How it Works
  2. Key Features & Advantages: Why DEAI Is Different

Privacy and Security First

Using FHE and Federated Learning, DEAI ensures that user data is never exposed or centralized. You control your data, and its privacy is guaranteed at every stage of AI model development and interaction.

  • User-Centric Data Control: Users retain ownership and control of their data at every step, reducing risks of misuse or unauthorized access.

  • Secure AI Development: AI models are trained on encrypted data, guaranteeing that sensitive information remains private and protected, even during computation.

  • Regulatory Compliance: The platform supports industries that require adherence to strict privacy regulations, such as healthcare and finance, enabling broader AI adoption.

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Last updated 4 months ago

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