2PM.Network
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  • Overview
    • What is 2PM.Network
    • Architecture
    • FAQ
    • Official Social Channels
  • 2PM Data VSIES Service
    • What is Data VSIES and why is it important
    • [V] Data Validation (ZK)
    • [SI] Data Standardization and Index
    • [E] Data Encryption Client (FHE)
    • [S] Data Storage and Access
    • Data VSIES SDK
  • Node Framework
    • Modular Architecture
    • Federated Learning
      • Horizontal Federated Learning Task
      • Logistic Regression Task
      • On-chain Secure Aggregation
      • Typical Scenarios
    • FHE Machine Learning
      • Built-in Models
      • Deep Learning
      • Typical Scenarios
    • Task Submission
    • Running a 2PM Node
      • Installation
      • Chain Connector Configuration
      • Data Preparation
      • Joining a Subnet
  • Security and Verification
    • Node Staking and Slash Mechanism
    • Running Verification Client
      • EigenLayer
      • Mind Network
    • Restaking and Delegation
  • Model Inference
    • 2PM Node Inference API
    • Posting Request to a Subnet Model
    • Getting Inference Results on Chain
      • Oracle Adapters
  • Monetization and Incentives
    • AI Model IP Assets
    • Distribution Algorithm
  • 2PM DAO
    • Build Subnets
      • Establishing New Subnets
      • General Requirements
      • Data Schema Definition
      • Model Selection
      • Task Implementation
    • $DMP Token
  • Deployed Smart Contracts
    • Subnets on Testnets
    • Local Deployment Guideline
  • Ecosystem
    • Partners
    • Use Cases
      • Private Personalized Recommendation
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  1. Model Inference

2PM Node Inference API

The 2PM Node Inference API provides a dynamic interface that exposes a continuously trained and updated model, allowing users and developers to directly access and utilize the latest version of the model. This API serves as a crucial link between the real-time capabilities of the 2PM network's machine learning models and the end-users or downstream applications, ensuring they benefit from the most current data insights and predictive analytics.

Key Features of the 2PM Node Inference API:

  • Real-Time Model Updates: The models integrated within the 2PM Node are updated in real time, reflecting the latest data inputs and learning processes. This ensures that the models remain accurate and relevant, adapting to new information as it becomes available.

  • Direct Application Service: By exposing these models through an API, the 2PM Node enables developers to integrate advanced machine learning capabilities directly into their applications. This can enhance user experiences and improve the functionality of various software products by incorporating sophisticated predictive and analytical tools.

  • Privacy-Preserving Inference under FHE ML: In scenarios where Fully Homomorphic Encryption (FHE) is employed, the API supports privacy-preserving inference. This means that it can perform data processing and model inference without needing to decrypt the input data. This capability is crucial for maintaining the confidentiality and security of sensitive information while still leveraging the power of machine learning.

  • Integration with Oracles: The API also supports integration with blockchain oracles like Chainlink, which can be used to securely and reliably deliver inference results to the blockchain. This feature enables smart contracts to act based on data processed by the 2PM Node, facilitating a wide range of decentralized applications that depend on external, verified data for execution.

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Last updated 10 months ago