1.4 Roles and Terminology

Taiwan AI Labs Federated Learning Platform (FLP) provides the following options for AI model implementation:

• FL: Federated Learning
• FV: Federated Validation
• DG: Data Governance

Roles:

• Edge-Admin: Edge Machine Administrator (地端設備管理者).
  Each on-premises edge machine will have one Taiwan AI Labs authorized Edge-Admin account, and by using this Edge-Admin account, institute's administrator could create new FL/FV/DG projects, create and authorize new PI accounts, and assign the project to the PI.
  
  Edge-Admin will use Aggregator Dashboard to create a new FL/FV project and assign PI.
  Edge-Admin will use Edge Machine to create a new Data Governance (DG) project and assign PI.
  
  
• PI: Principle Investigator (盟主).
  The lead PI in charge of the whole Federated Learning (FL) project. Each project will have one main PI to take care of the main task, including inviting Co-PI to join the FL/FV project, create FL/FV plans under the project, and upload the pretrained AI model and weights.
  
  For Federated Learning project, PI will use it's own data to generate the AI initial model and initial weights.
  
  PI will use use Aggregator Dashboard to manage the FL/FV projects, including inviting Co-PI, upload AI model and weights, and creating FL/FV plans under FL/FV project.
  
  PI will access Edge Machine to join a FL/FV project for the local edge site.
  PI will use use Edge Dashboard to upload datasets.
  PI will use Edge Machine to manage Data Governance (DG) projects.
  
  
• Co-PI: Co-Principal Investigator (盟友).
  Co-PI is the PI in other institute, joining the same FL project. Co-PI could join the FL project by the invitation information received from PI. Co-PI will upload it's own datasets to assist the FL project training, or to verify the AI model/weights of FV project.
  
  Co-PI will access Edge Machine to join a FL/FV project, and Edge Dashboard to upload the datasets.
  
  
• Sub-I: Sub-Investigator or Co-Investigator (助理、助理主持人).
  Sub-I to assist PI in the main institute or Co-PI in the alliance. Sub-I has important roles in Data Governance toolsets of Taiwan AI Labs Federated Learning Platform.

FLP (Federated Learning Platform) Terminology:

• Aggregator Dashboard:
  For each Federated Learning (FL) project, the model weights need to be aggregated in one place, and we name that place as Aggregator Dashboard. Aggregator Dashboard contains all the functions for PI to manage a FL/FV project. Edge-Admin also creates a new FL project (as well as assigns PI) at Aggregator Dashboard.
  
  Taiwan AI Labs offers the option for users to choose the location of the Aggregator Dashboard. For more information, please contact Taiwan AI Labs directly.
  
  
• Edge Dashboard:
  The dashboard provided on the Edge Machine for PI/Co-PI to operate the FL/FV tasks locally. PI/Co-PI will select the joined FL/FV project, enter the project PIN code, and then login the FL/FV project Edge Dashboard.
  
  
• Edge Machine:
  The AI machine provided by Taiwan AI Labs. Installed the services offered by Taiwan AI Labs.
  
  Each Edge Machine will also come with a Edge-Admin account, so the institutes could mange the offered services by himself.
  
  
• Edge Portal:
  Once Edge Machine is installed and set up ready, accessing the Edge Machine machine domain name (FQDN - Fully Quality Domain Name) with Google Chrome browser will launch a web portal page, which contains all the services shortcut offered by Taiwan AI Labs, and that default web page is called Edge Portal.

AI (Artificial Intelligence) Terminology:

• AI Model:
  An mathematical representation of algorithm to perform some specific task.
  
  Here at Taiwan AI Labs Federated Learning Platform, we use Docker technology to communicate with AI model algorithm.
  
  
• AI Model Weights:
  The parameters of the model learned during the training process.
  
  The AI model weights are updated and improve during training to minimize the error between the model's predictions and the actual outcomes.
  
  
• Ground-Truth Datasets: