Early-Exit meets Model-Distributed Inference at Edge Networks

Distributed inference techniques can be broadly classified into data-distributed and model-distributed schemes. In data-distributed inference (DDI), each worker carries the entire deep neural network (DNN) model but processes only a subset of the data. However, feeding the data to workers results in...

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Bibliographische Detailangaben

Hauptverfasser:	Colocrese, Marco, Koyuncu, Erdem, Seferoglu, Hulya
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Distributed, Parallel, and Cluster Computing Computer Science - Learning Computer Science - Networking and Internet Architecture
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