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  • Lumora
    • Welcome to the Lumora GitBook
    • Introduction
    • Decentralized Internet Bandwidth Sharing
    • Problem Landscape
    • Lumora Ecosystem Overview
      • Participants and Roles
      • Interaction Flow within the Network
      • Advantages of Decentralized Networks
    • Architecture and Technical Framework
      • Network Layer Design
      • Browser Extension and DApp Interaction
      • Blockchain-Powered Backend
      • Integration with Decentralized Storage Protocols
    • Smart Contracts and Tokenomics
    • Core Algorithms
      • Bandwidth Allocation Optimization
      • Proximity-Based Task Assignment
      • Adaptive Data Scraping Framework
      • Dynamic Reward Calculation Protocols
    • Privacy and Security Framework
    • Decentralized Data Scraping Protocol
    • AI-Driven Network Enhancements
    • Roadmap
    • Advanced Scraping for Interactive and Dynamic Content
    • Community Engagement
    • Appendices
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Lumora

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  1. Lumora

Roadmap

The Lumora roadmap outlines a strategic plan for the platform’s growth, focusing on scalability, functionality, and market adoption. Each phase is designed to build on the previous stage, ensuring steady progress toward a robust and decentralized ecosystem.


Phase 1: Early Adoption, Prototype Refinement, and Public Beta (0–6 Months)

Objectives:

  • Refine the Proof of Concept (PoC) based on test network results.

  • Launch the public beta version, including a browser extension and DApp.

  • Incentivize early adopters and build the foundational community.

Key Milestones:

  1. Public Beta Launch:

    • Release the browser extension for bandwidth sharing.

    • Deploy the decentralized DApp for task management and dataset access.

  2. Early Adoption Program:

    • Launch the early user incentive campaign, distributing 15% of the total token supply among initial participants who contribute to data collection and validation efforts.

  3. Prototype Refinement:

    • Address identified issues in task allocation and reward distribution.

    • Optimize bandwidth allocation and fraud detection algorithms.

  4. Initial Community Building:

    • Onboard early adopters, including bandwidth providers and developers.

    • Conduct webinars and tutorials to educate users on participation.

  5. Liquidity Pool Deployment:

    • Establish liquidity pools on decentralized exchanges to support token trading.

    • Incentivize early token holders with staking rewards.


Phase 2: On-Chain Task Distribution and Client Marketplace (6–18 Months)

Objectives:

  • Complete the transition of task distribution and validation to the blockchain.

  • Enable clients to create tasks and directly reward data gatherers.

Key Milestones:

  1. On-Chain Task Management:

    • Move task logging, assignment, and completion verification fully on-chain using Solana programs.

  2. Dataset Marketplace Launch:

    • Full launch of the decentralized marketplace where users can browse, purchase, and access aggregated datasets via the DApp.

  3. Client Task Posting:

    • Launch the client-side task creation platform, allowing companies and individual users to submit parsing and data collection tasks, paying rewards in Lumora tokens.

  4. Data Privacy Framework Development:

    • Design, test, and audit a secure system that filters out personal data from collected datasets, ensuring compliance with privacy and data protection regulations.

  5. Marketing and Outreach:

    • Conduct targeted campaigns to attract data consumers and enterprise clients.

    • Expand community engagement through hackathons and developer incentives.


Phase 3: Global Network Expansion and Learning Integration (18+ Months)

Objectives:

  • Scale the network to support millions of nodes worldwide.

  • Integrate advanced learning systems for privacy-preserving AI.

Key Milestones:

  1. Global Network Expansion:

    • Deploy additional nodes across multiple regions to enhance global coverage.

    • Implement network sharding to handle increased workloads.

  2. Federated Learning Integration:

    • Enable privacy-preserving AI training using decentralized datasets.

    • Collaborate with federated learning platforms for secure AI model development.

  3. Cross-Industry Applications:

    • Expand use cases to include industries like healthcare, finance, and education.

    • Provide tailored datasets for domain-specific AI applications.

  4. Sustainability and Tokenomics:

    • Introduce deflationary incentives to maintain token value.

    • Implement token buybacks and burns to stabilize the ecosystem.

  5. Governance Framework:

    • Transition to a decentralized autonomous organization (DAO) for community-driven governance.

    • Empower token holders to vote on protocol upgrades and resource allocation.

  6. Global Data Accessibility:

    • Ensure coverage across all publicly accessible web sources.

    • Partner with international organizations to promote equitable access to data.


Key Outcomes

  1. Phase 1: Build and refine Lumora’s core functionality while establishing a strong base of early adopters.

  2. Phase 2: Expand Lumora’s presence in the AI and data marketplace by enabling client-driven task creation and decentralized data exchange.

  3. Phase 3: Achieve global network scalability, empowering privacy-preserving AI development and supporting diverse industries through a robust decentralized dataset marketplace.

The roadmap provides a clear path for Lumora’s growth, ensuring steady advancements in technology, scalability, and user adoption while fostering innovation and inclusivity in the decentralized data economy.

Last updated 13 days ago