Transfer Learning In Differential Privacy's Hybrid-Model

28 January 2022

Papers citing "Transfer Learning In Differential Privacy's Hybrid-Model"

9 / 9 papers shown

Title
Differentially Private Aggregation in the Shuffle Model: Almost Central Accuracy in Almost a Single Message Badih Ghazi Ravi Kumar Pasin Manurangsi Rasmus Pagh Amer Sinha FedML 89 36 0 27 Sep 2021
Efficient, Noise-Tolerant, and Private Learning via Boosting Mark Bun M. Carmosino Jessica Sorrell FedML 43 18 0 04 Feb 2020
The power of synergy in differential privacy: Combining a small curator with local randomizers A. Beimel Aleksandra Korolova Kobbi Nissim Or Sheffet Uri Stemmer 55 15 0 18 Dec 2019
Introduction to Online Convex Optimization Elad Hazan OffRL 163 1,928 0 07 Sep 2019
Finite Sample Differentially Private Confidence Intervals Vishesh Karwa Salil P. Vadhan 55 193 0 10 Nov 2017
BLENDER: Enabling Local Search with a Hybrid Differential Privacy Model Brendan Avent Aleksandra Korolova David Zeber Torgeir Hovden B. Livshits FedML 55 100 0 02 May 2017
The sample size required in importance sampling S. Chatterjee P. Diaconis 100 191 0 04 Nov 2015
Local, Private, Efficient Protocols for Succinct Histograms Raef Bassily Adam D. Smith FedML 56 457 0 18 Apr 2015
Distributed Private Data Analysis: On Simultaneously Solving How and What A. Beimel Kobbi Nissim Eran Omri FedML 106 207 0 14 Mar 2011