Dagstuhl-Seminar 21122
Identifying Key Enablers in Edge Intelligence Postponed
( 21. Mar – 24. Mar, 2021 )
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Ersetzt durch
Dagstuhl-Seminar 21342:
Identifying Key Enablers in Edge Intelligence
(2021-08-22 - 2021-08-25)
(Details)
Organisatoren
- Lei Chen (HKUST - Kowloon, HK)
- Aaron Ding (TU Delft, NL)
- Ella Peltonen (University of Oulu, FI)
- Sasu Tarkoma (University of Helsinki, FI)
- Lars Wolf (TU Braunschweig, DE)
Kontakt
- Shida Kunz (für wissenschaftliche Fragen)
- Jutka Gasiorowski (für administrative Fragen)
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.
Creative Commons BY 3.0 DE
Lei Chen, Aaron Yi Ding, Ella Peltonen, Sasu Tarkoma, and Lars Wolf
Klassifikation
- Artificial Intelligence
- Distributed / Parallel / and Cluster Computing
- Networking and Internet Architecture
Schlagworte
- Edge Computing
- Communication Networks
- Artificial Intelligence
- Intelligent Networking
