March 21 – 24 , 2021, Dagstuhl Seminar 21122

RESCHEDULED Identifying Key Enablers in Edge Intelligence

Due to the Covid-19 pandemic, this seminar was rescheduled to August 22 – 25 , 2021Seminar 21342.


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)

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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
  Lei Chen, Aaron Yi Ding, Ella Peltonen, Sasu Tarkoma, and Lars Wolf

Related Dagstuhl Seminar


  • Artificial Intelligence
  • Distributed / Parallel / And Cluster Computing
  • Networking And Internet Architecture


  • Edge Computing
  • Communication Networks
  • Artificial Intelligence
  • Intelligent Networking


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