FederAI: Federated & Trusted Data Mesh Platform

Author: Badr Tajini

Abstract

⚠️ NB: The development of the platform is still in progress. ⚠️

⚠️ Updating the codebase soon. ⚠️

The federated & trusted data platform named FederAI (in reference to the French verb -Fédérer- meaning to group together, assemble, unify states or entities) strictly complies with the specifications of the Data Mesh paradigm by adhering to 4 principles :

• Domain-driven ownership of data,
• Data as a product,
• Self-serve data platform,
• Federated computational governance.

The docker image at the time of its creation is encrypted and signed, which allows, firstly, maintaining a trace of who initially created the docker image, secondly, giving a legitimate appearance to the container as well as its code, and last but not least, an increased security against malware attacks.

Table of Content

• FederAI: Federated & Trusted Data Mesh Platform
  • Abstract
  • Table of Content
  • FederAI Platform Information
  • FederAI Platform Services & Control Planes
• Project Management
• Documentation
• Project structure
• Demo
  • FederAI Platform (Core)
  • FederAI Platform (Governance)
• Citation

Table of contents generated with markdown-toc

Documentation

The documentation of FederAI and FederAI-Gov platforms

The structure of the documentation is shown below :

• Project management
  • Boards
  • Roadmap
• FederAI Platform Overview
  • Theoretical representation of the architecture
  • Practical representation of the architecture
  • FederAI Data Platform Infrastructure (Core & Governance)
  • Technologies powering FederAI Platform (Core & Governance)
  • Theoretical Concepts
    • Functional Analysis
    • Technical Analysis
  • FederAI Platform
    • Setup On-premise (Setup for Linux & Windows)
      • Setting up Dockerfile templates for FederAI platform (for advanced users)
      • Getting Started with FederAI data platform
    • Setup Cloud
      • Setup for AWS
      • Setup for GCP
      • Setup for AZURE
    • FederAI: More Commands
      • More commands to run FederAI Platform
      • Port Mappings
    • FederAI: Upgrade, Update & Enhancements
      • What's New?
    • FederAI: Insights :
      • Future Work & Concepts
• FederAI: Federated Data Mesh Implementation
  • Data Mesh Implementation (Ongoing)
• FederAI and Machine Learning Implementation
  • Federated machine learning (Fed ML) based on a Data Mesh platform (Ongoing)

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Citation

If you find this repository useful in your work or research, please cite:

@software{tajini_badr_2022_7254972,
  author       = {Tajini Badr},
  title        = {FederAI: Federated \& Trusted Data Mesh Platform},
  month        = oct,
  year         = 2022,
  note         = {{The development of the platform is still in progress.}},
  publisher    = {Zenodo},
  version      = {1.0.0},
  doi          = {10.5281/zenodo.7254972},
  url          = {https://doi.org/10.5281/zenodo.7254972}
}

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