Distributed learning is a problem of fundamental interest in machine learning and cognitive science. In this paper, we present asynchronous distributed learning algorithms for two...
This paper offers a local distributed algorithm for multivariate regression in large peer-to-peer environments. The algorithm is designed for distributed inferencing, data compact...
This paper describes the design and evaluation of SAM, a shared object system for distributed memory machines. SAM is a portable run-time system that provides a global name space ...
The preservation of temporal dependencies among different media data, such as text, still images, video and audio, and which have simultaneous distributed sources as origin, is an ...
Saul Pomares Hernandez, Luis A. Morales Rosales, J...
Abstract--Highly distributed environments such as pervasive computing environments not having global or broad control, need another attribute certificate management technique. For ...