In the context of IoT, differential privacy is a technique used to:

In IoT, differential privacy is a technique used to protect the privacy of individual data in a dataset. It adds noise or perturbation to data in a way that makes it challenging to identify individual data points while still allowing useful insights to be derived from the dataset. This is crucial for preserving the privacy of IoT data, especially when dealing with sensitive information.