OmniLearn: A Framework for Distributed Deep Learning Over Heterogeneous Clusters
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DOI: 10.1109/tpds.2025.3553066
Abstract: Deep learning systems are optimized for clusters with homogeneous resources. However, heterogeneity is prevalent in computing infrastructure across edge, cloud and HPC. When training neural networks using stochastic gradient descent techniques on heterogeneous resources, performance… read more here.
Keywords: deep learning; framework; omnilearn framework; framework distributed ... See more keywords