Joint Dynamic Grouping and Gradient Coding for Time-Critical Distributed Machine Learning in Heterogeneous Edge Networks
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DOI: 10.1109/jiot.2022.3182394
Abstract: In edge networks, distributed computing resources have been widely utilized to collaboratively perform a machine learning task by multiple nodes. However, the model training time in heterogeneous edge networks is becoming longer because of excessive… read more here.
Keywords: gradient coding; time; edge networks; dynamic grouping ... See more keywords