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vAIn User Guide

Welcome to vAIn! This guide explains how to participate in the decentralized AGI network, contribute computational resources, and interact with the distributed intelligence system.

Table of Contents

Introduction

vAIn is a decentralized Artificial General Intelligence system that operates across a network of peer nodes. Each node contributes to the collective intelligence through federated learning and shared computation.

Getting Started

To begin using vAIn, ensure you have access to the following:

  • A working internet connection.
  • API key (if authentication is required).
  • WebSocket connection for real-time updates.

Installation

  1. Install the necessary dependencies:

    • Ensure you have a client to interact with the API (e.g., Postman, Curl, or your application).
    • For WebSocket connections, use any WebSocket client, such as the built-in WebSocket API in modern web browsers.
  2. Set up the WebSocket endpoint:

    • Connect to the WebSocket service at ws://localhost/ws/tasks for task updates and performance data changes.

System Components

Federated Learning

The system uses federated learning to train models across distributed nodes while preserving privacy:

  1. Model Distribution:

    • Nodes receive the global model
    • Local training occurs on private data
    • Secure aggregation protects privacy
  2. Resource Management:

    • Dynamic resource allocation
    • Cost-efficient training
    • Resource sharing between nodes

Mobile Integration

Android devices can participate in the network:

  1. Setup:

    android_node = AndroidIntegration(
        node_id="android-device-1",
        device_info={
            "model": "Pixel 6",
            "os_version": "Android 12",
            "cpu_cores": 8,
            "ram": "8GB"
        }
    )
  2. Participation:

    • Join federated learning rounds
    • Contribute computational resources
    • Share knowledge across domains

Best Practices

  1. Resource Management:

    • Monitor resource usage
    • Set appropriate batch sizes
    • Use efficient aggregation methods
  2. Security:

    • Enable secure aggregation
    • Verify client updates
    • Monitor for anomalies

Troubleshooting

If you encounter any issues, refer to the troubleshooting section for common problems and solutions.