13 citations · 40 across the 16 of their papers we have counts for
4 papers · 1 filter
Strong Privacy and Utility Guarantee: Over-the-Air Statistical Estimation
Wenhao Zhan
We consider the privacy problem of statistical estimation from distributed data, where users communicate to a central processor over a Gaussian multiple-access channel(MAC). To avo…
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…
rTop-k: A Statistical Estimation Approach to Distributed SGD
Leighton Pate Barnes, Huseyin A. Inan, Berivan Isik +1
The large communication cost for exchanging gradients between different nodes significantly limits the scalability of distributed training for large-scale learning models. Motivate…
The Courtade-Kumar Most Informative Boolean Function Conjecture and a Symmetrized Li-Médard Conjecture are Equivalent
Leighton Pate Barnes, Ayfer Özgür
We consider the Courtade-Kumar most informative Boolean function conjecture for balanced functions, as well as a conjecture by Li and Médard that dictatorship functions also maximi…