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Next Inaugural Lecture & Research Talk - Schoolf of Study Electrical Engineering, Computer Science and Mathematics

The School of Study of Electrical Engineering, Computer Science and Mathematics at the Hamburg University of Technology (TUHH) is pleased to share another inaugural lecture and research talk from the field of Data Science with the entire TUHH and with the public as part of its colloquium. This colloquium of the School of Study EIM will take place on

Friday, November 10, 2023 at 1:15 pm
Room A-0.13, Building A, TUHH Campus

with the following short program:

  • Welcome - Prof. Dr.-Ing. Gerhard Bauch, Dean of Studies EIM, TUHH
  • Inaugural Lecture -  From Centralized Machine Learning to Edge AI“ - Prof. Dr.-Ing. Stefan Schulte, Data Engineering Institute, TUHH
  • Industry talk - “Research Collaborations with Smart and Medium Enterprises (SMEs)” - Benjamin S. Storey, Ascora GmbH
  • Get together from 3 pm - Lern- und Kommunikationszentrum (LuK), Building A, TUHH Campus

We would like to ask you to register for the EIM colloq here: https://lists.tuhh.de/sympa/subscribe/kolloq.eim

We are looking forward to your participation!

Prof. Dr.-Ing. Gerhard Bauch

Dean of Studies EIM

 

From Centralized Machine Learning to Edge AI - Research at the Institute for Data Engineering

Today's Machine Learning (ML) approaches are mostly based on a centralized approach, i.e., data is sent to a centralized entity (very often located in the cloud), where ML training is carried out. However, especially in industrial scenarios, companies are very often not keen on sharing their (raw) data with the cloud, particularly if ML training and model generation are provided by an external party (e.g., the vendor of a machine).

 

 

Figure 1 Federated Learning in Industrial Settings

Edge AI offers an alternative approach, by training and applying ML models close to the data sources. One particular approach to Edge AI is Federated Learning (FL), which allows distributed ML and only sharing the learned model with other entities. This leads to benefits for both data privacy and communication overhead. In this talk, we will motivate FL, provide some insights on how to use it, and discuss some recent research results.

Ansprechpartner:

Prof. Dr.-Ing. Stefan Schulte

Institute for Data Engineering (E-19)

Hamburg University of Technology

stefan.schulte@tuhh.de

https://www.tuhh.de/ide/

Research Collaborations with Smart and Medium Enterprises (SMEs)

In this presentation, Benjamin S. Storey will refer about the possible role of Smart and Medium Enterprises (SMEs) in research projects. As an example, the project SiToLub (Simulation tools for the design of safe and sustainable lubricants), which is in its first steps, is used as an example to describe the areas in which the Ascora GmbH is involved as a software house. The creation of a common ontology and the consolidation of the different measurement and test results from partners and other available data sources are described. It will also be explained how to augment data models using synthetic data and subsequent AI-assisted decision-making based on given specifications and weighting matrices.

Ansprechpartner:

Benjamin S. Storey
Ascora GmbH

Birkenalle 43

27777 Ganderkesse

storey(at)ascora(dot)de

http://ascora.de