Unverified50% confidenceFactExact time
When combined with DP-SGD and the PREAMBLE mechanism, the multi-scale FFT algorithm can give improved privacy bounds.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
11/2/2026
First Seen
Valid until: 1/31/2027
Sources
Related Entities
Related Claims
UnverifiedIn the future, the multi-scale FFT technique is expected to be integrated into mainstream DP libraries, promoting the standardization and practical adoption of privacy-preserving technologies.80% similarUnverifiedDP-SGD protects privacy by adding Gaussian noise to gradients, and privacy accounting tools (such as Rényi DP or zCDP) can precisely compute the cumulative privacy loss.72% similarUnverifiedDifferentially private stochastic gradient descent (DP-SGD) has become the de facto standard for training privacy-sensitive models.70% similarUnverifiedDifferential privacy is achieved by injecting calibrated noise, and the privacy budget parameter ε is used to quantify the strength of protection.62% similar
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