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, ...

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

Vishesh Narendra Pamadi is a passionate system software expert with an impressive academic background and a portfolio of diverse, impactful projects that showcase his excellence in distributed ...