Abstract: Presence of harmful noise is inevitable in quantum sensing systems, requiring careful allocation of resources to optimize sensing performance in practical scenarios. We advocate a simple but ...
Abstract: Model partitioning is a promising technique for improving the efficiency of distributed inference by executing partial deep neural network (DNN) models on edge servers (ESs) or ...
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