Sage enforces a global differential privacy guarantee over a growing data stream using block-level composition, and adds privacy-adaptive training with SLAed validation to maintain model quality.
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Privacy Accounting and Quality Control in the Sage Differentially Private ML Platform
Sage enforces a global differential privacy guarantee over a growing data stream using block-level composition, and adds privacy-adaptive training with SLAed validation to maintain model quality.