To extend the differentially private scheme to release data from multiple years of the Live Birth Registry, several considerations need to be taken into account to ensure high data utility and privacy guarantees:
Data Aggregation: Instead of treating each year as a separate dataset, the data from multiple years can be aggregated into a single dataset. This approach allows for a more comprehensive analysis while maintaining differential privacy guarantees.
Incremental Release: Data from each year can be released incrementally, with each release being differentially private. This approach ensures that the privacy loss budget is distributed across multiple releases, reducing the risk of privacy breaches.
Consistent Configuration: Maintaining a consistent configuration across multiple releases is crucial for ensuring data utility and comparability. This includes consistent data transformations, model selection algorithms, and hyperparameters.
Privacy Loss Budget Allocation: Allocating the privacy loss budget appropriately for each year's release is essential. The budget should be distributed based on the sensitivity of the data and the desired level of privacy protection.
Evaluation Criteria: Developing a set of acceptance criteria that can be applied consistently across multiple years is important. These criteria should reflect the specific needs of data users and ensure that the released data meets quality standards.
By following these strategies, the differentially private scheme can be effectively extended to release data from multiple years of the Live Birth Registry, maintaining high data utility and privacy guarantees.