A Next Generation of Internet of Things (IoT) applications is bringing new requirements such as support
for mobility of devices and users; the need for data and user privacy; larger volumes of sensitive data to be
analysed, and new requirements to handle such data. The support for such applications require handling
traffic and data locality and to provide a higher degree of automation across Edge and Cloud, in a way that is
not necessarily tied to network policies nor to geographical boundaries.
The Edge definition itself is today elastic and not tied to a specific infrastructure boundary, and therefore,
such Edge is also reaching end-user devices, such as smartphones, or smart sensors placed in industrial
shop-floor environments.

This track is focused on the main theme of intelligent at the Edge, focusing on bringing together the latest
advancements concerning integration of Artificial Intelligence (AI) on the Edge, in particular for industrial
environments.

Topics include, but are not limited to:
- AI-enabled Edge solutions for monitoring/maintenance of equipment (network and end-user), e.g.,
production equipment.
- New opportunities, challenges, case studies, and applications of Edge-AI for industrial
environments.
- AI-based solutions to support a decentralised, smart data exchange e.g., communication between
machines/Edge controllers in industrial environments.
- How to best support AI engineering on such decentralised scenarios, via distributed AI approaches;
- Methods to best serve the challenges and constrains posed by realistic far Edge scenarios, in
particular in regards to Industrial IoT scenarios;
- How can ML models be adapted to serve the constrains of IoT sensors (embedded devices),
supporting as well challenges such as intermittent connectivity; mobility management.


Chairs
Rute C. Sofia, fortiss, Munich, Germany (sofia@fortiss.org)
Jesse Luo, Shandong University, China and emocean GmbH, Munich, Germany


Deadlines
Submission: April 16, 2021
Notification: May 3, 2021
Registration: May 13, 2021
Camera ready: May 13, 2021