AIoTwin Blog Post Series: From Concept to Code

We're excited to share insights from the AIoTwin project through the series of technical blog posts, written by our consortium members. These articles provide a general overview of how we are shaping the future of the Artificial Intelligence of Things (AIoT)—where distributed intelligence meets the real world. Explore our work on bringing AI into physical environments, where we tackle the complexities of AI deployment across the Cloud-Edge-IoT continuum.

General technical overview of AIoT:

1. Artificial Intelligence of Things: Bringing AI into our physical environments, by Ivana Podnar Žarko

On Hierarchical Federated Learning (HFL)

2. Hierarchical Federated Learning: Distributed Intelligence Beyond the Cloud, by Katarina Vuknić
3. Handling Dynamics in HFL Pipelines: The Need for Adaptive Orchestration, by Ana Petra Jukić

Use cases including Edge AI

4. The Future of IoT in Agriculture: Efficient, Predictive, Connected, by Dora Kreković
5. Training AI models with VisionKG, by Jicheng Yuan & Duc Manh Nguyen
6. How Edge AI and Adaptive Learning Could Transform Smart Mobility, by Ivan Kralj

Infrastructure support for AIoT:

7. QoS-Aware Load Balancing for the Computing Continuum, by Ivan Čilić