Unity Network
  • Unity Network
    • Introduction
    • Unity Network FL Architecture
    • Data Security
    • Case Study
      • Flashback Overview
      • Registration
      • Integration
      • Model Training
      • Objectives and Outcomes
  • Unity Network SDK
    • Key Features
    • Registration
    • Node Setup
    • SDK Integration
      • Wallet Module
      • Node Module
  • Permissions Management
    • User Permissions
  • Model Training
    • Organization registration
    • Model Training Requests
    • Secure Training and Updates
      • Model Training
        • Model Loading and Initialization
        • Data Loading
        • Training
      • Secure Transmission of Encrypted Updates
        • ECDH Key Exchange for Secure Encryption Key Generation
        • Encrypt and Transmit Model Updates
        • Secure Aggregation and Decryption at Central Server
        • Distribute Updated Model and Continue Training
      • Sharing Model Updates with the Model Owner and Verifying Authenticity of Training
        • Construct the Merkle Tree and Commit to the Merkle Root
        • Log Hashes of Accessed Dataset Chunks During Training
        • Transmission of Model Updates, Merkle Proofs, and Hash Log to the Model Owner
        • Verification by the Model Owner
  • Training rewards
    • Incentivization Process
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  1. Model Training
  2. Secure Training and Updates
  3. Secure Transmission of Encrypted Updates

Secure Aggregation and Decryption at Central Server

  1. Aggregating Encrypted Model Updates:

    • Unity Network’s central server receives encrypted model updates from all nodes. The server aggregates the encrypted updates using a Secure Aggregation Protocol (e.g., Federated Averaging) to maintain privacy.

  2. Decryption of Aggregated Model:

    • After aggregation, the central server decrypts the final, aggregated model using the symmetric encryption key shared with each node. This produces a global model that is compatible with plaintext data.

  3. Verification and Logging:

    • Unity Network logs the aggregation and decryption process for audit purposes, ensuring transparency and accountability in model update handling.

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Last updated 5 months ago