Getting the Best Out of Both Worlds: Algorithms for Hierarchical Inference at the Edge
Vishnu Narayanan Moothedath,
Jaya Prakash Champati,
James Gross
Abstract:We consider a resource-constrained Edge Device (ED), such as an IoT sensor or a microcontroller unit, embedded with a small-size ML model (S-ML) for a generic classification application and an Edge Server (ES) that hosts a large-size ML model (L-ML). Since the inference accuracy of S-ML is lower than that of the L-ML, offloading all the data samples to the ES results in high inference accuracy, but it defeats the purpose of embedding S-ML on the ED and deprives the benefits of reduced latency, bandwidth saving… Show more
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