Available Tools
The Synthetic Data Generation tool aims to provide data that is statistically similar to the original data but does not convey information from the original data.
The anonymisation process involves turning personal or sensitive information (e.g., health data) to anonymous information, by removing personal identification information from a dataset.
Given a target dataset and reference dataset with a known sensitive attribute, the tool provides different metrics.
Given a model, a sensitive attribute and a balanced dataset, this service provides the user with some approaches that can mitigate the bias.
The Innohub Federated Learning tool orchestrates the collaborative training between the desired users. Its configuration via the Innohub Federated Learning service GUI is needed.