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Ding, Aaron [Author]; Peltonen, Ella [Author]; Tarkoma, Sasu [Author]; Wolf, Lars [Author] ; Aaron Ding and Ella Peltonen and Sasu Tarkoma and Lars Wolf [Contributor]

Identifying Key Enablers in Edge Intelligence (Dagstuhl Seminar 21342)

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  • Media type: E-Article; Text
  • Title: Identifying Key Enablers in Edge Intelligence (Dagstuhl Seminar 21342)
  • Contributor: Ding, Aaron [Author]; Peltonen, Ella [Author]; Tarkoma, Sasu [Author]; Wolf, Lars [Author]
  • imprint: Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2021
  • Language: English
  • DOI: https://doi.org/10.4230/DagRep.11.7.76
  • Keywords: edge computing ; communication networks ; artificial intelligence ; intelligent networking
  • Origination:
  • Footnote: Diese Datenquelle enthält auch Bestandsnachweise, die nicht zu einem Volltext führen.
  • Description: 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 discussed and developed presumptions for a comprehensive view of AI methods and capabilities in the context of edge computing, and provided a roadmap to bring together enablers and key aspects for edge computing and applied AI/ML fields.
  • Access State: Open Access