The implementation of differential privacy varies depending on the context and the specific requirements of the data analysis task. In some scenarios, like online services, differential privacy may be implemented locally at the user's device, where data is randomised before being sent to a central server. In other cases, like in research or governmental data analysis, differential privacy is applied centrally, where a trusted curator adds noise to aggregated data or query responses. The choice of implementation depends on factors like the nature of the data, the desired level of privacy protection, and the specific use case.