Privacy Budget Management
Combine differential privacy with homomorphic encryption to enable computations on encrypted, noisy data, adding an extra privacy layer within Substrate's runtime environment.
Managing Cumulative Privacy Loss
By managing privacy budgets, we ensure that the cumulative privacy loss from multiple queries or training iterations remains within acceptable limits, allowing the system to support ongoing AI tasks without risking overexposure of sensitive data, such as in a longitudinal study tracking patient outcomes over years while maintaining transparency through Substrate's immutable storage.
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