Special Track: EdgeAI: Redefining Web Intelligence with Decentralized Computing

About:

For updated news and information about this special track, please visit the special track webpage

We are thrilled to introduce a novel track on EdgeAI for the forthcoming WISE conference, spotlighting the fusion of artificial intelligence (AI) and edge computing poised to redefine web information systems engineering. EdgeAI epitomizes a transformative shift in computing, ushering intelligence closer to data sources and empowering real-time decision-making at the network edge. This track beckons researchers, practitioners, and innovators to explore the forefront of EdgeAI technologies, where AI algorithms converge with distributed computing infrastructure to unlock unprecedented opportunities for intelligent web applications. From edge computing architectures tailored for AI deployment to real-time analytics and machine learning at the network edge, the track seeks to delve into diverse facets of EdgeAI. Join us at WISE as we embark on a collective journey to explore, discuss, and shape the future of web engineering through the lens of EdgeAI. Be a catalyst for innovation, share your insights, and contribute to the vibrant discourse surrounding EdgeAI research and applications.

Organizers:

  • Chirine Ghedira, iaelyon – Lyon 3 University, France
  • Nadia Kabbachi (Lyon 1 University, France.
  • Elhadj Benkhelifa (Staffordshire University, UK

Topics of Interest:

Areas of interest include (but not limited to):

  • Edge computing architectures and frameworks for AI deployment.
  • Generative AI Continuum – from Edge to Cloud
  • Intelligent edge devices and sensors for data processing and analysis.
  • Real-time analytics and machine learning at the network edge.
  • Edge-based AI inference and decision-making models.
  • Predictive maintenance with EdgeAI
  • EdgeAI applications in IoT, smart cities, healthcare, autonomous systems, and more.
  • Edge security and privacy considerations in AI-driven web systems.
  • Performance optimization and resource management in EdgeAI environments.
  • Case studies, prototypes, and real-world implementations of EdgeAI solutions.
  • Semantic Edge Computing
  • Context-aware Edge Intelligence
  • Edge Data Management and Query Processing
  • Edge Computing Architectures for Web Services
  • Edge AI-driven Personalization
  • Federated Learning at the Edge
  • Edge Intelligence for Web of Things (WoT)
  • Edge Computing for Web Content Delivery
  • Privacy and security with and within EdgeAI.. 

Submission Guidelines

Papers should be submitted in PDF format. The results described must be unpublished and must not be under review elsewhere. Submissions must conform to Springer’s LNCS format and should not exceed 15 pages, including all text, figures, references, and appendices. Submissions not conforming to the LNCS format, exceeding 15 pages, or being obviously out of the scope of the conference, will be rejected without review. Information about the Springer LNCS format can be found at Springer. Three to five keywords characterizing the paper should be indicated at the end of the abstract.

All submissions must go through EasyChair system via Easychair

Important Dates

  • Submission Deadline: 30 June, 2024
  • Acceptance/Rejection Notification: 30 August, 2024
  • Camera-Ready Files Submission Deadline: 07 September, 2024

Publication

Please note that for every accepted paper, it is required that at least one person registers for the conference and presents the paper. All accepted papers will be included in the proceedings published as Springer’s LNCS series.