> ## Documentation Index
> Fetch the complete documentation index at: https://docs.tracebloc.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Key Terms

> Important terminology and concepts used in Tracebloc.

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](/tools-help/faqs)
* [Review SDK documentation](/tools-help/tracebloc)