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Partition-based differentially private synthetic data generation
Private synthetic data sharing is preferred as it keeps the distribution and nuances of original data compared to summary statistics.
Approximate Query Processing for Group-By Queries based on Conditional Generative Models
Online sampling chooses samples for the given query at query time, but it requires a long latency.
LAQP: Learning-based Approximate Query Processing
Querying on big data is a challenging task due to the rapid growth of data amount.
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