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 ...
Companies are spending enormous sums of money on AI systems, and we are now at a point where there are credible alternatives ...
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