NeurIPS 2019
Sun Dec 8th through Sat the 14th, 2019 at Vancouver Convention Center
Paper ID:1704
Title:Locally Private Gaussian Estimation

The paper provides new, non-trivial results for scalar Gaussian mean estimation under local differential privacy. The technique in the upper bound is new. Although the lower bound is implied by another recent work, this work is independent. All reviewers have strongly recommended that the authors put less emphasis on the lower bound result and more on the upper bound in the final version, as well as implement the changes mentioned in the rebuttal.