NexaFusion Whitepaper V 1.0
  • Execution Summary
  • Introduction to NexaFusion
    • Introduction to NexaFusion
    • Purpose and Goals
    • System Architecture
  • About $NXF
    • $NXF Coin
    • Purpose of $NXF
    • Economic Design
    • Ecosystem Utilization
  • NexaFusion Architecture
    • Overview
    • Core Components of NexaFusion Architecture
    • Data Layer
    • Model Management Interface
    • Reward System
    • Verification and Arbitration Layer
    • Monitoring and Feedback Loop
  • Storage Nodes
    • Overview
    • Operations
    • Reward System
    • Integration into NexaFusion
  • NEXUS
    • NEXUS
    • Model Testing and Validators
    • Usage-based Rewards
  • Tokenomics
    • Overview
    • Utility
    • Vesting plan
  • Team
    • Core member
  • Roadmap
  • NEXUS Roadmap
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  1. NexaFusion Architecture

Data Layer

The data layer serves as a foundational component within the NexaFusion architecture, responsible for secure management and accessibility of data across the platform. It supports all data-related operations, from storage and access to utilization in machine learning processes, within the BSC-based ecosystem.

Data Upload and Storage: Users can directly upload data through the platform's user interface. Uploaded data is stored on distributed nodes to ensure high availability and redundancy. Leveraging blockchain technology, NexaFusion creates immutable records of data transactions, ensuring traceability and integrity.

Data Validation: Uploaded data undergoes rigorous validation processes. This involves two stages: automated systems initially verify compliance and integrity, followed by community validators or expert reviewers who assess the quality and relevance of the data. This validation is particularly important for specialized datasets that require high accuracy.

The data layer within NexaFusion ensures robust data management, using blockchain technology to provide immutable records and rigorous validation processes, enhancing traceability and reliability across the platform's operations.

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Last updated 7 months ago