by Tove Kvarnström | Feb 28, 2023
PI: Buon Kiong Lau (LU); co-PI: Alireza Saberkari (LiU) Today, small devices can only be charged efficiently by wire connection or short-range, magnetic coupling based wireless power transfer (WPT), which is inconvenient to users. Long-range WPT has been attempted,...
by Tove Kvarnström | Feb 28, 2023
PI: Christian Gehrmann (LU); co-PI: Mikael Asplund (LiU) The huge amount of cellular connected devices can be used to launch Distributed Denial of Service (DDoS) attacks which are a severe threat against telecommunication infrastructures and services. The new analytic...
by Tove Kvarnström | Feb 28, 2023
PI: Amir Aminifar (LU); co-PIs: Christoph Kessler (LiU), Petru Eles (LiU) The new generation of artificial intelligence (AI) and machine learning (ML) techniques have recently been shown to require non-negligible energy for both training and inference. FL4IoT will...
by Tove Kvarnström | Feb 28, 2023
PI: Oscar Gustafsson (LiU); co-PI: Joachim Rodrigues (LU) Trading energy for accuracy is a promising approach to reduce the computing energy dissipation. Especially, for classes of applications with inherent resiliency, including AI/ML, significant reductions can be...
by Tove Kvarnström | Feb 28, 2023
PI: Mikael Asplund (LiU); co-PI: Christian Gehrmann (LU) Provably secure communication solutions will be needed for the continued trust in future digital services. In this PhD project we propose a new approach to taming the inherent computational complexity of...
