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Virginia Tech, College of Engineering
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Sheaf theory can unify fragmented temporal data paradigms under a single algebraic framework, making it possible to formally quantify information loss across representation shifts and tractably decompose dynamic systems.
Achieve differentially private Markov chain modeling with minimal impact on accuracy, showing less than 2% error in the stationary distribution under typical privacy settings.