[KongchangAI]
Unverified50% confidenceFactExact time

The theoretical analysis gives upper bounds on the squared ℓ2 parameter estimation error: Õ(s*/n + s*^2/(n^2ε^2)) for Sample-DP and Õ(s*/n + s*/(nε^2)) for Label-DP (based on randomized response), where n is the amount of training data and ε is the privacy budget.

1
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50%
Confidence
Long-term
Relevance
10/22/2026
First Seen

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