🏗️Technical Architecture

Platform Architecture

Discover the layered architecture that powers ML Bridge's decentralized machine learning ecosystem

3
Core Layers
5
Smart Contracts
99.9%
Target Uptime

🏗️ System Overview

ML Bridge operates as a three-layer architecture designed for scalability, security, and decentralization

🔗

Blockchain Layer

Smart contracts & consensus mechanisms

💻

Compute Layer

Distributed processing network

🌐

Application Layer

APIs, SDKs & user interfaces

🔗Smart Contract Layer

Ethereum-compatible smart contracts provide trustless coordination and economic incentives

ML

MLBridge Core

Main coordination contract orchestrating the entire platform

0x1234...5678
MR

ModelRegistry

Manages AI model registration, metadata, and versioning

0x2345...6789
TM

TaskManager

Handles task creation, assignment, and lifecycle management

0x3456...789a
CV

ConsensusVerifier

Implements result verification and consensus mechanisms

0x4567...89ab
RD

RewardDistributor

Manages token rewards, penalties, and staking mechanisms

0x5678...9abc

💻Compute Layer

Distributed network of compute providers executing ML tasks with verification and consensus

Compute Provider Network

Task Execution

Run ML inference and training jobs with high performance

🛡️

Result Verification

Multiple providers verify outputs for consensus

💰

Reward System

Earn MLB tokens for honest contributions

Consensus-Verified Computation Protocol (CVCP)

Our novel consensus mechanism ensures result quality through economic incentives:

1

Task Assignment

Multiple providers selected based on stake and reputation

2

Parallel Execution

Each provider runs the task independently

3

Result Submission

Providers submit results with cryptographic proofs

4

Consensus Verification

Results compared and consensus determined

5

Reward Distribution

Honest providers rewarded, malicious ones penalized

🌐Application Layer

Developer-friendly APIs, SDKs, and interfaces for seamless platform integration

REST API

  • Task management endpoints
  • Model registry access
  • Real-time status updates
  • Webhook integrations

WebSocket API

  • Live task progress (coming soon)
  • Result notifications (coming soon)
  • Network status updates (coming soon)
  • Event subscriptions (coming soon)

SDKs

  • JavaScript/TypeScript
  • Python (coming soon)
  • Rust (coming soon)
  • Go (coming soon)

Web Interface

  • Task submission portal
  • Model marketplace
  • Provider dashboard

Security Architecture

🛡️Economic Security

  • • Staking requirements for providers
  • • Slashing for malicious behavior
  • • Reputation-based selection
  • • Economic incentive alignment

🔐Cryptographic Security

  • • Zero-knowledge proofs
  • • Merkle tree verification
  • • Multi-signature schemes
  • • Encrypted data transmission

Performance Metrics

Network Performance

1000+
Tasks/hour
30s
Avg latency

Scalability

  • • Layer 2 integration (Base, Polygon)
  • • State channels for micro-transactions
  • • IPFS distributed storage
  • • Horizontal scaling support