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The Case for Hierarchical Deep Learning Inference at the Network Edge
Depending on the application, if the inference provided by the local algorithm is incorrect or further assistance is required from large DL models on edge or cloud, only then the ED offloads the data sample.
Offloading Algorithms for Maximizing Inference Accuracy on Edge Device Under a Time Constraint
With the emergence of edge computing, the problem of offloading jobs between an Edge Device (ED) and an Edge Server (ES) received significant attention in the past.
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