EI 2021

1st International Workshop on Edge Intelligence (EI 2021)

The focus of EI2021 is to provide an overview of the works carried out so far in the use of Artificial Intelligence (AI) techniques applied at the Edge of 5G&B and the 6G future networks.

Call for Papers

Please download the EI 2021 CFP flyer here:

Paper Submissions:
Authors are invited to submit original unpublished papers (written in English) in PDF format and not under review elsewhere. Submissions will be subjected to a peer-review process. Papers should be submitted in IEEE 2-column format, with paper length up to 7 pages including references, through the EDAS conference management system.

Authors of the top-ranked papers accepted for publication in the EI 2021 workshop proceedings will be invited to submit an extended version to an international journal (more information will be provided later). Authors should register and upload paper submissions https://edas.info/28751

Workshop Co-chairs:
Salvatore D’Oro, Northeastern University, Boston, USA
Christian Grasso, University of Catania, Italy,
Giovanni Schembra, University of Catania, Italy
Nabeel Akhtar, Akamai Technologies Inc, Cambridge, USA
Michael Seufert, University of Würzburg, Germany

Workshop Description

Edge Intelligence considers the combined use of Artificial Intelligence (AI) and Multi-Access Edge Computing paradigm in future networks to address the requirements of both final users and network operators. About the first ones, it will guarantee the final application’s requirements in terms of latency, delay, reliability and robustness, security and costs. On the other hand, telco providers will be able to manage network facilities in a more efficient way, implementing also zero- touch management solutions capable of self-adapting to different network conditions.

The main goal of the Edge Intelligence Workshop is to present state-of-the-art research results and experience reports about the use of Artificial Intelligence techniques applied at the Edge of 5G&B and the 6G future networks, focusing on models for network and service management of the resources located in the edge nodes. The variety of new services and applications with heterogeneous characteristics in terms of generated traffic, mobility, Quality of Service (QoS) and Quality of Experience (QoE) requirements, and the consequent increment of data transmitted on the next communication networks, demonstrate the importance of providing AI solutions to manage in an efficient way the resources at the Edge.

Important Dates:
Paper Submission: August 14, 2021 (Extended)
Acceptance Notification: Sept 7, 2021
Camera Ready Submission: Sept 21, 2021