Key Terms
Platform Terms
Use Case
Client
Model
Technical Terms
Federated Learning
Differential Privacy
Model Weights
Process Terms
Training
Evaluation
Fine-tuning
Next Steps

Key Terms

Important terminology and concepts used in Tracebloc.

Platform Terms

data owner
data scientist

Use Case

A specific AI project or evaluation scenario where data owners and data scientists collaborate.

Client

The Tracebloc component deployed on the data owner’s infrastructure that manages data and model execution.

Model

An AI/ML model submitted by data scientists for evaluation on the data owner’s infrastructure.

Technical Terms

Federated Learning

A machine learning approach where models are trained across multiple devices while keeping data local.

Differential Privacy

A system for publicly sharing information about a dataset while withholding information about individuals.

Model Weights

The parameters of a trained model that determine its behavior and performance.

Process Terms

Training

The process of teaching a model to make predictions based on data.

Evaluation

The process of assessing a model’s performance using predefined metrics.

Fine-tuning

The process of adjusting a pre-trained model for a specific task.

Next Steps

Frequently Asked Questions

⌘I

Overview

Create a Use Case

Join a Use Case

Environment Setup

Tools & Help

Key Terms

Key Terms

Platform Terms

Use Case

Client

Model

Technical Terms

Federated Learning

Differential Privacy

Model Weights

Process Terms

Training

Evaluation

Fine-tuning

Next Steps

Overview

Create a Use Case

Join a Use Case

Environment Setup

Tools & Help

​Key Terms

​Platform Terms

​Use Case

​Client

​Model

​Technical Terms

​Federated Learning

​Differential Privacy

​Model Weights

​Process Terms

​Training

​Evaluation

​Fine-tuning

​Next Steps

Key Terms

Platform Terms

Use Case

Client

Model

Technical Terms

Federated Learning

Differential Privacy

Model Weights

Process Terms

Training

Evaluation

Fine-tuning

Next Steps