Crowd-ML: A Privacy-Preserving Learning Framework for a Crowd of Smart Devices

11 January 2015

Papers citing "Crowd-ML: A Privacy-Preserving Learning Framework for a Crowd of Smart Devices"

7 / 7 papers shown

Title
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response Ulfar Erlingsson Vasyl Pihur Aleksandra Korolova 109 1,996 0 25 Jul 2014
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes Ohad Shamir Tong Zhang 160 576 0 08 Dec 2012
No More Pesky Learning Rates Tom Schaul Sixin Zhang Yann LeCun 137 478 0 06 Jun 2012
Better Mini-Batch Algorithms via Accelerated Gradient Methods Andrew Cotter Ohad Shamir Nathan Srebro Karthik Sridharan ODL 120 315 0 22 Jun 2011
Distributed Delayed Stochastic Optimization Alekh Agarwal John C. Duchi 134 627 0 28 Apr 2011
Differentially Private Empirical Risk Minimization Kamalika Chaudhuri C. Monteleoni Anand D. Sarwate 158 1,490 0 01 Dec 2009
Composition Attacks and Auxiliary Information in Data Privacy S. R. Ganta S. Kasiviswanathan Adam D. Smith 142 423 0 01 Mar 2008