[HTML][HTML] Partitioning dnns for optimizing distributed inference performance on cooperative edge devices: A genetic algorithm approach

J Na, H Zhang, J Lian, B Zhang - Applied Sciences, 2022 - mdpi.com
To fully unleash the potential of edge devices, it is popular to cut a neural network into
multiple pieces and distribute them among available edge devices to perform inference …

Partitioning DNNs for Optimizing Distributed Inference Performance on Cooperative Edge Devices: A Genetic Algorithm Approach.

J Na, H Zhang, J Lian, B Zhang - Applied Sciences (2076 …, 2022 - search.ebscohost.com
To fully unleash the potential of edge devices, it is popular to cut a neural network into
multiple pieces and distribute them among available edge devices to perform inference …

Partitioning DNNs for Optimizing Distributed Inference Performance on Cooperative Edge Devices: A Genetic Algorithm Approach

J Na, H Zhang, J Lian, B Zhang - Applied Sciences, 2022 - agris.fao.org
To fully unleash the potential of edge devices, it is popular to cut a neural network into
multiple pieces and distribute them among available edge devices to perform inference …

Partitioning DNNs for Optimizing Distributed Inference Performance on Cooperative Edge Devices: A Genetic Algorithm Approach

J Na, H Zhang, J Lian, B Zhang - Applied Sciences, 2022 - search.proquest.com
To fully unleash the potential of edge devices, it is popular to cut a neural network into
multiple pieces and distribute them among available edge devices to perform inference …

[PDF][PDF] Partitioning DNNs for Optimizing Distributed Inference Performance on Cooperative Edge Devices: A Genetic Algorithm Approach

J Na, H Zhang, J Lian, B Zhang - Appl. Sci, 2022 - pdfs.semanticscholar.org
To fully unleash the potential of edge devices, it is popular to cut a neural network into
multiple pieces and distribute them among available edge devices to perform inference …