StitchNet: Distributed On-Device Model Partitioning Over Edge Devices Under Volatile Wireless Links
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3215083
Abstract: Distributed deep learning architecture can achieve scalable learning and inference capability at resource-constrained edge devices. Although the parallelization-based approaches have actively been investigated in the edge computing context, they are not designed for the devices… read more here.
Keywords: edge devices; stitchnet; volatile wireless; model ... See more keywords
EdgePipe: Tailoring Pipeline Parallelism With Deep Neural Networks for Volatile Wireless Edge Devices
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3131407
Abstract: As intelligence recently moves to the edge to tackle the problems of privacy, scalability, and network bandwidth in the centralized intelligence, it is necessary to construct an efficient yet robust deep learning model viable at… read more here.
Keywords: edge devices; deep neural; pipeline; volatile wireless ... See more keywords