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cs.IT2025
Differentially Private Distribution Release of Gaussian Mixture Models via KL-Divergence Minimization
Hang Liu, Anna Scaglione, Sean Peisert
Gaussian Mixture Models (GMMs) are widely used statistical models for representing multi-modal data distributions, with numerous applications in data mining, pattern recognition, d…
cs.IT2023
Low-Complexity Vector Source Coding for Discrete Long Sequences with Unknown Distributions
Leah Woldemariam, Hang Liu, Anna Scaglione
In this paper, we propose a source coding scheme that represents data from unknown distributions through frequency and support information. Existing encoding schemes often compress…