18 September 2024, Dubrovnik, Croatia

As part of the SmartEdge & AIoTwin Summer School, the “Edge AI meets Swarm Intelligence” technical workshop is held on 18 September 2024.

Edge AI represents a novel computing paradigm designed to facilitate local data storage and processing, with AI algorithms enabling data treatment directly at the edge of the network. This approach aims to bring intelligence to the end-devices, facilitating real-time decision-making and empowering devices to operate autonomously, reducing reliance on external cloud services.

One of the key topics of interest is  to develop low-code programming tool chains or platforms for edge intelligence to enable swarm computing paradigms. The tools will reduce the efforts of building smart systems requiring a collective of heterogeneous devices, sensors, vehicles and robots to collaborate towards a common goal. Such a solution aims at enabling Swarm Intelligence concepts, which are a form of AI that mimics the collective behavior of decentralized, self-organized systems, like those observed in nature.

Researchers working on the two projects share similar research interests in terms of enabling AI at the edge and dealing with the heterogeneity of such environments. Heterogeneity can refer here to differences in network capabilities, processing power, software stacks, APIs, and security protocols across the Cloud-Edge Continuum infrastructure, e.g. continuum reference architecture proposed by EUCloudEdgeIoT.
The primary goal of this workshop is to foster collaboration and the exchange of ideas among researchers and stakeholders. The workshop can provide a platform for participants to share their experiences, best practices, case studies, and to identify emerging research areas and potential solutions to existing challenges.

Topics are related to the design, development, and evaluation of architectures, technologies, and applications for “Edge AI” and “Swarm Intelligence”, including but not limited to:
• Network optimization and interoperable protocols for Edge AI and Swarm Intelligence
• Novel system architectures and hardware designs in Edge AI and Swarm Intelligence
• Network security, data privacy, confidence, and trust in Edge AI and Swarm Intelligence
• AI-enabled resource allocation, federated learning, and swarm intelligence
• Next generation smart use-cases enabled by Edge AI and Swarm Intelligence 
• Intelligence in distributed computing continuum systems
• Novel results in embedded AI, in-network computing or heterogeneous computing
• Methods, resources, and experimental findings in autonomous systems.

• 08:15-08:45: Morning coffee
• 08:45-09:00: Opening ceremony
• 09:00-10:15: “Techniques for safe and highly available cloud applications”, keynote by Carla Ferreira (TarDIS)
• 10:15-10:30: Coffee break + posters session
• 10:30-12:00: Papers track
• 12:00-13:00: Lunch break + posters session
• 13:00-14:30: Free slot/activity
• 14:30-14:45: Coffee break + poster sessions
• 14:45-16:00: Papers track
• 16:00-16:15: Coffee break + poster sessions
• 16:15-17:30: Papers track
• 17:30-17:45: Closing the workshop.

Workshop chairs
•    Ivana Podnar Zarko (University of Zagreb, Croatia)
•    Philippe Cudre-Mauroux (University of Fribourg, Switzerland)
•    Trung-Kien Tran  (Bosch, Germany)
•    Danh Le-Phuoc (TU Berlin, Germany). 

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