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    Taiwan AI Labs Federated Learning Platform provides an easy approach to train and validate AI models without assembling all data in one place. 

    This Developers' Guidebook is a complete version of the framework engaging guidebook containing both Federated Learning (FL) (training framework) and Federated Validation (FV) (validation system). It bridges the gap between the Dashboard UI operations and FlaVor Library (Docker image preparation). For more details, please refer to the corresponding sections.

    If you are an end user instead of an engineer, please refer to Federated Learning User Manuals or Federated Validation User Manuals. Thank you.


    For more information, please contact us, or visit - 

    TAIMedImg - https://www.taimedimg.tw/

    Taiwan AI Labs - https://www.ailabs.tw/    


    For Federated Learning introduction, please refer to the video below:

     


     

    Taiwan AI Lab Federated Learning Platform includes the following components:

    - Federated Learning Framework (FL)
    - Federated Validation System (FV)
    - Data Governance Toolsets (DG)
    - Federated Inference Module (FI)

    For more information please refer to:
    - FLaVor (AI Engineer References for FL and FV)
    - FAQ

    If you are a channel distributor, please refer to:
    - Fed-Machine Setup

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