Miltiades E. Anagnostou

Miltiades E. Anagnostou, Maria A. Lambrou

Hedge has been proposed as an adaptive scheme, which guides an agent's decision in resource selection and distribution problems that can be modeled as a multi-armed bandit full information game. Such problems are encountered in the areas of computer and communication networks, e.g. network path selection, load distribution, network interdiction, and also in problems in the area of transportation. We study Hedge under the assumption that the total loss that can be suffered by the player in each round is upper bounded. In this paper, we study the worst performance of Hedge.

Miltiades E. Anagnostou, Maria A. Lambrou

In this paper we examine information privacy from a value-centered angle. We review and compare different personal data valuation approaches. We consider the value of personal data now and in the near future, and we find that the enduring part of personal data will soon become common knowledge and that their price and value will drop substantially. Therefore the sector that is based on personal data extraction will need to focus on new ways of monetization and on the of the dynamic part of personal information.