7 citations
6 papers
QUDOS: Quorum-Based Cloud-Edge Distributed DNNs for Security Enhanced Industry 4.0
Kevin Wallis, Christoph Reich, Blesson Varghese +1
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 can b…
Gotthold Eisenstein and Philosopher John
Franz Lemmermeyer
Before the recent publication of the correspondence between Gauss and Encke, nothing was known about the role that John Taylor, a cotton merchant from Liverpool, had played in the…
Data Confidentiality In P2P Communication And Smart Contracts Of Blockchain In Industry 4.0
Jan Stodt, Christoph Reich
Increased collaborative production and dynamic selection of production partners within industry 4.0 manufacturing leads to ever-increasing automatic data exchange between companies…
Agreements between Enterprises digitized by Smart Contracts in the Domain of Industry 4.0
Kevin Wallis, Jan Stodt, Eugen Jastremskoj +1
The digital transformation of companies is expected to increase the digital interconnection between different companies to develop optimized, customized, hybrid business models. Th…
Multi-task Localization and Segmentation for X-ray Guided Planning in Knee Surgery
Florian Kordon, Peter Fischer, Maxim Privalov +6
X-ray based measurement and guidance are commonly used tools in orthopaedic surgery to facilitate a minimally invasive workflow. Typically, a surgical planning is first performed u…
L_2 Differentiability of Generalized Linear Models
Daria Pupashenko, Peter Ruckdeschel, Matthias Kohl
We derive conditions for differentiability of generalized linear models with error distributions not necessarily belonging to exponential families, covering both cases of sto…