We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...
Data cubes for OLAP (Online Analytical Processing) often need to be constructed from data located in several distributed and autonomous information sources. Such a data integratio...
—Many sensing systems remotely monitor/measure an environment at several sites, and then report these observations to a central site. We propose and investigate several practical...
A common problem within most large corporations nowadays is the diversity of database systems that are employed by their many departments in the development of a product. Usually, ...
Fernando de Ferreira Rezende, Ulrich Hermsen, Geor...