A survey on deep neural network partition over cloud, edge and end devices

D Xu, X He, T Su, Z Wang - arXiv preprint arXiv:2304.10020, 2023 - arxiv.org
Deep neural network (DNN) partition is a research problem that involves splitting a DNN into
multiple parts and offloading them to specific locations. Because of the recent advancement …

Distributed Computation of DNN via DRL With Spatio-Temporal State Embedding

S Kim, S Jung, HW Lee - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
Offloading techniques are considered one of the key enablers of deep neural network (DNN)-
based artificial intelligence (AI) services on end devices with limited computing resources …

QUDOS: quorum-based cloud-edge distributed DNNs for security enhanced industry 4.0

K Wallis, C Reich, B Varghese… - Proceedings of the 14th …, 2021 - dl.acm.org
Distributed machine learning algorithms that employ Deep Neural Networks (DNNs) are
widely used in Industry 4.0 applications, such as smart manufacturing. The layers of a DNN …

[PDF][PDF] Verteilte Datenvalidierungsnetzwerke im industriellen Umfeld

K Wallis - 2023 - freidok.uni-freiburg.de
This dissertation presents a system for improving the security of data validation in an
industrial environment. For this purpose, the four industrial revolutions are used, starting with …