3 papers
cs.LG2020
Breaking the Communication-Privacy-Accuracy Trilemma
Wei-Ning Chen, Peter Kairouz, Ayfer Özgür
Two major challenges in distributed learning and estimation are 1) preserving the privacy of the local samples; and 2) communicating them efficiently to a central server, while ach…
cs.IT2020
Fisher information under local differential privacy
Leighton Pate Barnes, Wei-Ning Chen, Ayfer Ozgur
We develop data processing inequalities that describe how Fisher information from statistical samples can scale with the privacy parameter under local differential pr…
cs.IT2018
Anonymous Heterogeneous Distributed Detection: Optimal Decision Rules, Error Exponents, and the Price of Anonymity
Wei-Ning Chen, I-Hsiang Wang
We explore the fundamental limits of heterogeneous distributed detection in an anonymous sensor network with n sensors and a single fusion center. The fusion center collects the si…