Innovative Applications and Services Based on Privacy Enhanced Distributed Computations on IoT Devices

Computational Intelligence methods are widely used in a diverse range of scientific and industrial applications, including economic modeling, finance, networks and transportation, database design, design and control, scheduling and others. On the other hand, Collective Intelligence methods aim at harvesting the power of people's mobile devices for gathering and sending useful information about the values and the variations of environmental variables in a target area or the macroscopic behavior of a target population. In this paper we propose a computation paradigm, which combines computational, collective intelligence and privacy respecting techniques, towards the creation of a flexible, low-cost, secure, massively parallel virtual computing platform based on people's own devices. Examples of how such an infrastructure can be the platform of the deployment of innovative, computationally demanding, applications and services that demand peer-to-peer connections and users' device collaboration are presented. The privacy respecting techniques enhance people's trust in providing their data through their personal devices.