Locally Optimal Private Sampling: Beyond the Global Minimax
–Neural Information Processing Systems
We study the problem of sampling from a distribution under local differential privacy (LDP). Given a private distribution P P, the goal is to generate a single sample from a distribution that remains close to P in f-divergence while satisfying the constraints of LDP.
Neural Information Processing Systems
Jun-23-2026, 00:52:45 GMT
- Country:
- North America > United States (0.27)
- Genre:
- Research Report > Experimental Study (1.00)
- Industry:
- Information Technology > Security & Privacy (1.00)
- Technology: