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

• Check FAQs
• Review SDK documentation