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. How DEAI Works: Powering a Decentralized AI Ecosystem

Fully Homomorphic Encryption (FHE)

DEAI employs Fully Homomorphic Encryption (FHE), an advanced cryptographic technique that ensures data remains encrypted even during computations. This innovation provides unparalleled data security, making it a key feature of the platform.

  • Encrypted Computation: With FHE, computations are performed directly on encrypted data, ensuring that raw data is never exposed to external entities or unauthorized parties.

  • Enhanced AI Privacy: Developers can train AI models using private datasets without decrypting them, enabling sensitive sectors such as healthcare and legal to adopt DEAI with confidence.

  • A New Standard for Security: FHE represents the highest level of cryptographic protection, setting DEAI apart from traditional AI platforms.

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Last updated 5 months ago

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