Communications and Networking
Editors:
Ovidiu Vermesan, SINTEF, Norway
Alain Pagani, German Research Center for Artificial Intelligence, Germany
Paolo Meloni, University of Cagliari, Italy
ISBN: 9788743808848 (Hardback) e-ISBN: 9788743808831
Available: October 2025
Chapter 1: Edge AI Systems Verification and Validation
by Ovidiu Vermesan, Alain Pagani, Roy Bahr, Marcello Antonio Coppola, Giulio Urlini
Chapter 2: Pioneering the Hybridization of Federated
Learning in Human Activity Recognition
by Alfonso Esposito, Yasamin Moghbelan, Ivan Zyrianoff,
Leonardo Ciabattini, Federico Montori, Marco Di Felice
Chapter 3: Edge Intelligence Architecture for
Distributed and Federated Learning
Systems
by Pierluigi Dell’Acqua, Lorenzo Carnevale, Massimo Villari
Chapter 4: Challenges and Performance of SLAM
Algorithms on Resource-constrained
Devices
by Calvin Galagain, Martyna Poreba, François Goulette
Chapter 5: Designing Accelerated Edge AI Systems
with Model Based Methodology
by Petri Solanti, Russell Klein
Chapter 6: Edge AI Acceleration for Critical Systems:
from FPGA Hardware to CGRA Technology
by Pietro Nannipieri, Luca Zulberti, Tommaso Pacini, Matteo Monopoli,
Tommaso Bocchi, Luca Fanucci
Chapter 7: Model Selection and Prompting Strategies
in Resource Constrained Environments for
LLM-based Robotic System
by Toms Eduards Zinars, Oskars Vismanis, Peteris Racinskis,
Janis Arents, Modris Greitans
Chapter 8: Optimising ViT for Edge Deployment:
Hybrid Token Reduction for Efficient
Semantic Segmentation
by Mathilde Proust, Martyna Poreba, Calvin Galagain,
Michal Szczepanski, Karim Haroun
Chapter 9: Recent Trends in Edge AI: Efficient Design,
Training and Deployment of Machine
Learning Models
by Mark Deutel, Maen Mallah, Julio Wissing, Stephan Scheele
Chapter 10: Scalable Sensor Fusion for Motion
Localization in Large RF Sensing Networks
by Fetze Pijlman
Chapter 11: Multi-Step Object Re-Identification on Edge
Devices: A Pipeline for Vehicle
Re-Identification
by Tomass Zutis, Peteris Racinskis, Anzelika Bureka, Janis Judvaitis, Janis Arents, Modris Greitans
Chapter 12: A TinyMLOps Framework for Real-world
Applications
by Mattia Antonini, Massimo Vecchio, Fabio Antonelli
Chapter 13: Transfer and Self-learning in Probabilistic
Models
by Fetze Pijlman
Chapter 14: A Novel Hierarchical Approach to Perform
On-device Energy Efficient Fault
Classification
by Devesh Vashishth, Julio Wissing, Marco Wagner
Chapter 15: Discovering and Classifying Digital and
Wooden Industries Products’ Defects at the
Edge by a Yolo/ResNet-based Approach and
Beyond
by Robin Faro, Alessandro Strano , Francesco Cancelliere
Chapter 16: Conscious Agents Interaction Framework
for Industrial Automation
by Polina Ovsiannikova, Valeriy Vyatkin
Chapter 17: Neuromorphic IoT Architecture for Efficient
Water Management
by Mugdim Bublin, Heimo Hirner, Antoine-Martin Lanners,
Radu Grosu
Chapter 18: Online AI Benchmarking on Remote Board
Farms
by Maïck Huguenin, Baptiste Dupertuis, Robin Frund,
Margaux Divernois, Nuria Pazos
Chapter 19: Optimising Neural Networks for Water
Stress Prediction in Europe: A Sustainable
Approach
by Laura Sanz-Martín, Manal Jammal, Javier Parra-Domínguez
Chapter 20: The Accountability Strikes Back:
Decentralizing the Key Generation in
CL-PKC with Traceable Ring Signatures
by Varesh Mishra, Aysajan Abidin, Bart Preneel