Distributed privacy preserving data mining tools are critical for mining multiple databases with a minimum information disclosure. We present a framework including a general model...
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...
Abstract. As the popularity of social networks expands, the information users expose to the public has potentially dangerous implications for individual privacy. While social netwo...
This article deals with an approach for managing scheduling in semiconductor manufacturing facilities. The proposed approach ensures consistency between global and local schedulin...
With the rapid progress in science and technology, we find ubiquitous use of safety-critical systems in avionics, consumer electronics, and medical instruments. In such systems, u...