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 ...

The rise of eLearning and technology in higher education—including distance education, digital repositories, and electronic courseware products—has changed the way faculty and institutions regard ...