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 ...

What is a distributed system? A distributed system is a collection of independent computers that appear to the user as a single coherent system. To accomplish a common objective, the computers in a ...