5th Workshop on Embedded Machine Learning - WEML2024

Heidelberg University, November 29th, 2024 (full day)

Location: Heidelberg University

Holger Fröning, ZITI, Heidelberg University, Germany (holger.froening (at) ziti.uni-heidelberg.de)

Franz Pernkopf, Graz University of Technology, Austria (pernkopf (at) tugraz.at)

Manfred Mücke, Materials Center Leoben GmbH, Leoben, Austria (Manfred.Muecke (at) mcl.at)

Gregor Schiele, University of Duisburg-Essen (gregor.schiele (at) uni-due.de)

Overview

The workshop series on embedded machine learning (WEML) is jointly organized by Heidelberg University, University Duisburg-Essen, Graz University of Technology, and Materials Center Leoben, and embraces our joint interest in bringing complex machine learning models and methods to resource-constrained devices like edge devices, embedded devices, and IoT. The workshop is rather informal, without proceedings, and is organized around a set of invited talks on topics associated with this interest.

With embedded we refer to embedded in the real-world, thus operating under conditions that include 

Topics of interest include in general: 

In this regard, the workshop gears to gather experts from various domains and from both academia and industry, to stimulate discussions on recent advances in this area. 

Preliminary Schedule

09:15 - 09:30 Workshop opening

Session 1: Resource-Efficient Probabilistic Modeling

Coffee break: 10:30-11:00

Session 2: Resource Efficiency by Compilation

Lunch break: 12:30-13:30

Session 2: Resource Efficiency by Neural Architecture

Workshop closing with coffee 15:00 - ca. 16:00

Participation

This is an in-person event, thus seating is limited. We'll do our best to accommodate as many requests as possible. With regard to attending:

Impressions of the previous workshop (2023)