ABSTRACT
Abstract
Decentralization of the IoT ecosystems poses several challenges whenever AI is applied in a shared fashion. Diverse locations, alongside privacy concerns, require the use of holistic strategies, where various environments effectively collaborate while avoiding data disclosure. In this context, this chapter proposes a use case to demonstrate the appropriateness of the solution brought by the ASSIST-IoT project. Specifically, multiple geographic and computing locations, which are close to the automotive surface defects detection scanners, work together to improve AI outcomes, scaling those to a large fleet of vehicles.
