In local differential privacy (LDP), a challenging problem is the ability to generate high-dimensional data while efficiently capturing correlation between attributes in dataset. Existing solutions for low-dimensional synthesis, which partition budget among all attributes, cease be effective scenarios due large-scale noise and communication cost caused by high dimension. fact, characteristics n...