https://www.dagstuhl.de/21342
August 22 – 25 , 2021, Dagstuhl Seminar 21342
Identifying Key Enablers in Edge Intelligence
Organizers
Aaron Ding (TU Delft, NL)
Ella Peltonen (University of Oulu, FI)
Sasu Tarkoma (University of Helsinki, FI)
Lars Wolf (TU Braunschweig, DE)
For support, please contact
Jutka Gasiorowski for administrative matters
Shida Kunz for scientific matters
Documents
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Motivation
The Dagstuhl Seminar “Identifying Key Enablers in Edge Intelligence” brings together experts from distributed computing systems, edge infrastructures, applied artificial intelligence, machine learning, and related fields. Edge computing, a key part of the 5G networks and beyond, promises to decentralize cloud applications while providing more bandwidth and reducing latencies. The promises are delivered by moving application-specific computations between the cloud, the data producing devices, and the network infrastructure components at the edges of wireless and fixed networks. However, the current AI/ML methods assume computations are conducted in a powerful computational infrastructure, such as a homogeneous cloud with ample computing and data storage resources available. In this seminar, we discuss and develop presumptions for a comprehensive view of AI methods and capabilities in the context of edge computing, and provide a roadmap to bring together enablers and key aspects for edge computing and applied AI/ML fields.
Motivation text license
Creative Commons BY 3.0 DE
Aaron Ding, Ella Peltonen, Sasu Tarkoma, and Lars Wolf
Classification
- Artificial Intelligence
- Distributed / Parallel / And Cluster Computing
- Networking And Internet Architecture
Keywords
- Edge Computing
- Communication Networks
- Artificial Intelligence
- Intelligent Networking
