202 search results - page 1 / 41 » Privacy-preservation for gradient descent methods |
SDM
2008
SIAM
14 years 8 days ago
2008
SIAM
In this paper we explore private computation built on vector addition and its applications in privacypreserving data mining. Vector addition is a surprisingly general tool for imp...
ICANN
2001
Springer
14 years 3 months ago
2001
Springer
The method of conjugate gradients provides a very effective way to optimize large, deterministic systems by gradient descent. In its standard form, however, it is not amenable to ...
SCIA
2009
Springer
14 years 5 months ago
2009
Springer
Abstract. Level set methods are a popular way to solve the image segmentation problem in computer image analysis. A contour is implicitly represented by the zero level of a signed ...
KDD
2007
ACM
14 years 11 months ago
2007
ACM
ICDM
2010
IEEE
13 years 8 months ago
2010
IEEE
On large datasets, the popular training approach has been stochastic gradient descent (SGD). This paper proposes a modification of SGD, called averaged SGD with feedback (ASF), tha...