Skip to content

The classifier judged this item not relevant to AI security, so it is left out of lists, feeds, the API and dataset releases. If that is wrong, report a correction on this page.

InfoResearchPeer-reviewed

A Differentially Private Quadrature Amplitude Modulation Mechanism for Federated Analytics

Published
Record updated

Summary

Researchers propose a Differentially Private Quadrature Amplitude Modulation (DP-QAM) scheme for wireless federated analytics. It draws privacy amplification from both compression and noisy wireless channels, with the privacy guarantee stated in f-DP and accuracy measured by mean square error (MSE) on distributed mean and frequency estimation. Simulations validate the approach, which the authors report outperforms state-of-the-art methods.