Welcome to vAIn! This guide explains how to participate in the decentralized AGI network, contribute computational resources, and interact with the distributed intelligence system.
- Introduction
- Getting Started
- Node Setup
- P2P Network
- Contributing Resources
- Interacting with AGI
- Security Guidelines
- Troubleshooting
- System Components
- Best Practices
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.
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.
-
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.
-
Set up the WebSocket endpoint:
- Connect to the WebSocket service at
ws://localhost/ws/tasksfor task updates and performance data changes.
- Connect to the WebSocket service at
The system uses federated learning to train models across distributed nodes while preserving privacy:
-
Model Distribution:
- Nodes receive the global model
- Local training occurs on private data
- Secure aggregation protects privacy
-
Resource Management:
- Dynamic resource allocation
- Cost-efficient training
- Resource sharing between nodes
Android devices can participate in the network:
-
Setup:
android_node = AndroidIntegration( node_id="android-device-1", device_info={ "model": "Pixel 6", "os_version": "Android 12", "cpu_cores": 8, "ram": "8GB" } )
-
Participation:
- Join federated learning rounds
- Contribute computational resources
- Share knowledge across domains
-
Resource Management:
- Monitor resource usage
- Set appropriate batch sizes
- Use efficient aggregation methods
-
Security:
- Enable secure aggregation
- Verify client updates
- Monitor for anomalies
If you encounter any issues, refer to the troubleshooting section for common problems and solutions.