DIMEC-DC uses data-cartography clusters of validation embeddings to assign each input to mobile, edge, or cloud inference, cutting cost by over 43 percent with near-cloud accuracy on GLUE tasks.
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Distributed Inference on Mobile Edge and Cloud: A Data-Cartography based Clustering Approach
DIMEC-DC uses data-cartography clusters of validation embeddings to assign each input to mobile, edge, or cloud inference, cutting cost by over 43 percent with near-cloud accuracy on GLUE tasks.