202 search results - page 1 / 41 » Privacy-preservation for gradient descent methods |
SDM
2008
SIAM
13 years 6 months 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
13 years 9 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
13 years 11 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 4 months ago
2007
ACM
ICDM
2010
IEEE
13 years 2 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...