Concurrent and parallel systems form the bedrock of modern computational infrastructures, enabling vast improvements in processing speed, efficiency and scalability. By orchestrating multiple ...

Distributed deep learning has emerged as an essential approach for training large-scale deep neural networks by utilising multiple computational nodes. This methodology partitions the workload either ...

Our research area includes the groups "Embedded Systems (EmbSys)", "Parallel and Distributed Systems (PVS)", and "Computer Networks and Network Security (NetSec)". We focus on enhancing the safety, ...