Abstract:In conventional cloud systems, large volumes of data streams are sent to the data centres for monitoring, storage, and analytics. However, migrating all the data to the cloud is often not feasible due to cost, privacy, and performance concerns. Deep neural network (DNN) based applications typically require a tremendous amount of computation, hence cannot be directly deployed on resource-constrained edge devices for learning and analytics. Edge-enhanced compressive offloading becomes a sustainable solution that… Show more
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