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, ...

Students gain advanced knowledge of algorithms; computational biology; computer architecture; computer graphics and visualization; computer systems design; database systems; computer security; ...

It's rare to see an enterprise that relies solely on centralized computing. But there are nevertheless still many organizations that do keep a tight grip on their internal data center and eschew any ...

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Distributed applications enable heterogeneous environments with different systems and architectures. The advantages are platform independence, availability and scalability. The article shows the ...