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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On this page
  • Infrastructure and Framework
  • Ecosystem and Application
  1. Overview

Architecture

2PM.Network's architecture is designed as a modular, scalable framework built on blockchain technology to facilitate privacy-preserving computation and data utilization.

Infrastructure and Framework

At its core, the network employs Fully Homomorphic Encryption (FHE) and Federated Learning, enabling secure and private data processing and AI model training. The infrastructure also includes specialized contracts and tools that handle data storage, encryption, and standardization, ensuring data integrity and accessibility.

Solutions
Foundations
2PM Products

Data Storage and Access Solution

0G Data Availability Layer and ZKPass

2PM Data VSIES Service and SDK

Privacy Training Solution

Fully Homomorphic Encryption and Federated Learning

2PM Node Framework

Verification Solution

Any Blockchains and Restaking Protocols

2PM Verification Client


Ecosystem and Application

On the application side, 2PM.Network incorporates APIs for AI inference. It also features an innovative monetization system through the use of Royalty Tokens for each AI subnets, which ensures that contributors to AI subnets are rewarded for their input and efforts. This architecture also facilitates the expansion of the network across various blockchain ecosystems through 2PM DAO, making it robust and adaptable for future growth and integration.

Solutions
Foundations
2PM Products

Inference Solution

Oracles

2PM Node Server API

Model IP and Monetization Solution

Story Protocol

AI Model IP Assets / Royalty Token / 2PM Contribution Algorithm

Expansion and Governance Solution

Any Blockchains

2PM DAO

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Last updated 10 months ago