IEEE iEDGE 2023
Symposium on Intelligent Edge Computing and Communications
IEEE iEDGE Symposium on Intelligent Edge Computing and Communications
Call for Invited Papers
Program
| Date/Time | Session | Presentation |
|---|---|---|
| Friday 7/7 14:00 - 15:10 Location: Comiskey |
EDG_SYM_1 AI, ML and Data Analytics on the Edge Session Chair: Anna Kobusinska |
Data-centric Edge-AI: A Symbolic Representation Use Case Shashikant Ilager, Vincenzo De Maio, Ivan Lujic and Ivona Brandic Service Classification of Network Traffic in 5G Core Networks using Machine Learning Rob Pell, Mohammad Shojafar, Dimitris Kosmanos and Sotiris Moschoyiannis Big Data Analytics from the Rich Cloud to the Frugal Edge Feras Awaysheh, Ahmed Awad and Riccardo Tommasini The Potentials of AI Planning on the Edge Ilche Georgievski and Marco Aiello |
| Friday 7/7 15:25 - 16:35 Location: Virtual Only |
EDGE_SYM_2 EI-enabled Applications & Environments Session Chair: Ilche Georgievski |
Realising the Power of Edge Intelligence: Addressing the Challenges in AI and tinyML Applications for Edge Computing Michael Gibbs and Eiman Kanjo PATRIoTA: A Similarity-based IoT Malware Detection Method Robust Against Adversarial Samples József Sándor, Roland Nagy and Levente Buttyán A brief history of liquid software Cesare Pautasso Real-Time Onboard Object Detection for Augmented Reality: Enhancing Head-Mounted Display with YOLOv8 Mikołaj Łysakowski, Kamil Żywanowski, Adam Banaszczyk, Michał R. Nowicki, Piotr Skrzypczyński and Sławomir K. Tadeja |
| Friday 7/7 16:50 - 18:00 Location: Virtual Only |
EDGE_SYM_3 EI-based Secure Protocols and Services Session Chair: Feras M. Awaysheh |
Towards Intelligent Data Protocols for the Edge Praveen Kumar Donta and Schahram Dustdar Intelligent Multi-Domain Edge Orchestration for Highly Distributed Immersive Services: An Immersive Virtual Touring Use Case Tarik Zakaria Benmerar, Theodoros Theodoropoulos, Diogo Fevereiro, Luis Rosa, Joao Rodrigues, Tarik Taleb, Paolo Barone, Konstantinos Tserpes and Luis Cordeiro DDoS-FOCUS: A Distributed DoS Attacks Mitigation using Deep Learning Approach for a Secure IoT Network Mohammed Al-Khafajiy, Ghaith Al-Tameemi and Thar Baker Using Machine Learning for Detection and Classification of Cyber Attacks in Edge IoT Elena Becker, Maanak Gupta and Kshitiz Aryal |
This image was generated (and then edited) with an AI editor using "A robot standing on the edge with fog and cloud on the horizon over Chicago city.
The IEEE Symposium on intelligent Edge Computing and Communications (iEDGE) will be held on July 6-7, 2023, as a special event at the 2023 IEEE World Congress on Services (SERVICES). The iEDGE2023 aims to provide a global forum for disseminating the latest scientific research and industry results in the use of AI and Machine Learning in edge computing and communications. Its scope will cover Edge Intelligence (EI) and its applications, current and emerging. Centered around edge-enabled services, iEDGE2023 covers various research pertaining to edge-to-cloud continuum, edge security, and edge applications resilience. Particularly, the iEDGE2023 welcome papers on AI for edge computing and communications and edge computing and communications for AI systems.
The iEDGE2023 also aims to bring together researchers, practitioners and edge intelligence advocators in sharing and presenting their perspectives on the effective management of edge/fog deployment architectures. The symposium will address the field's theoretical foundations, applications, algorithms, software, networks, and systems. iEDGE2023 offers an opportunity to showcase the latest advances in this area and discuss/identify future directions and challenges. iEDGE symposium aims to serve as an innovative EI platform and feature some of the leading voices in research and industry supporting the integration of AI and edge computing for advancing the future of service computing globally.
Topics of interest (includes but not limited to:)
- Communication-efficiency techniques at the Edge
- EI Security: data, system and networks
- Resource allocation, scheduling & management in Edge Systems
- EI-enabled applications and environments
- Trust and Privacy-preserving EI technologies
- Federated Learning frameworks and Algorithms
- 5G/6G and Wireless Communication
- Network Function Virtualization and Network Slicing
- Artificial and Industrial Internet of Things – Edge Systems
- AI/ML for Edge and Edge for AI/ML
- Quality of Service and Energy Efficiency for EI Systems
- Distributed Ledger Technologies in EI environments
Important Dates (Anywhere on Earth)
April 26, 2023: submission deadlineMay 15, 2023: Acceptance notification
June 1, 2023: Camera-ready due
July 5-6, 2023: IEEE Symposium on intelligent Edge Computing and Communications (iEDGE) in Chicago
Manuscript Guidelines for Invited Papers
Language: English
Paper size and format: US Letter; Two-column format in the IEEE style Please download the paper template in WORD, LaTeX or Overleaf.
PAGE LIMITS
Every "Invited Paper" manuscript can include 4 to 10 pages for the main contents (including all text, footnotes, figures, tables and appendices) with additional pages for appropriate references.
NUMBER OF KEYWORDS
Five to eight keywords
FILE FORMAT
One single PDF file without embedded videos
SUBMISSION OF UNPUBLISHED ARTICLES OR TECHNICAL REPORTS
Per IEEE policy, unpublished articles or technical reports on a non-profit preprint server (e.g., ArXiv, organization web site, etc.) can be submitted for consideration after necessary changes are made to comply with the rules of IEEE SERVICES concerning authorship and anonymization for the double-blind review process (as stated above). For general questions, please review the FAQ on the IEEE policy (including copyright ownership).
Contact
For any questions regarding submission of invited papers, please email the General Chairs:
Feras M. Awaysheh, University of Tartu: feras.awaysheh@ut.ee
Anna Kobusińska, Poznań University of Technology: anna.kobusinska@cs.put.poznan.pl
Symposium Organizers
Symposium Chairs
Feras M. Awaysheh, University of Tartu
Anna Kobusińska, Poznań University of Technology
Steering Committee
Schahram Dustdar, Vienna University of Technology (TU Wien)
Thar Baker University of Brighton
Manuel Roveri, Politecnico di Milano
Ian F. Akyildiz, Truva Inc.
Walid Saad, Virginia Tech
Tarik Taleb, University of Oulu
Technical Program Committee
Elhadj Benkhelifa, Staffordshire University
Sadi Alawadi, Halmstad University
Jaime Lloret Mauri, Universidad Politécnica de Valencia
Victor R. Kebande, Blekinge Institute of Technology
Jun Wu, Waseda University
Moayad Aloqaily, MBZUAI
Klimis Ntalianis, Athens University of Applied Sciences
Tsozen Yeh, Fu Jen Catholic Universityv
Kevin Wang, University of Auckland
Xiaokang Zhou, Shiga University
Claudio Miceli de Farias, Federal University of Rio de Janeiro
Florin Pop, University Politechnica of Bucharest
Wasim Ahmad, University of Glasgow
Felix Freitag, Universitat Politècnica de Catalunya
Nicolas Tsapatsoulis, Cyprus University of Technology