Keynote  Speaker 1: Dr. Giacomo Morabito - The Internet of AI Agents: Architectures for Distributed Learning and Inference

Giacomo Morabito is Professor of Telecommunications at the University of Catania and a Research Affiliate of the Italian National Inter-University Consortium for Telecommunications, CNIT. He received his Ph.D. in Electronic, Computer and Telecommunications Engineering from the University of Catania and previously worked as a Research Engineer at the Broadband Wireless Networking Laboratory of the Georgia Institute of Technology.

His research interests include wireless and mobile networks, distributed artificial intelligence, the Internet of Things, digital twins, and network architectures for emerging intelligent systems. He has authored more than 160 papers in international journals and conference proceedings, which have received over 35,000 citations, and currently has an h-index of 40.

Professor Morabito has coordinated and managed several European, national, and industrial research projects, including the EU Horizon 2020 project COG-LO. He currently serves as Co-Principal Investigator of COHERENT, a major project within the Italian RESTART programme. He has also served on the editorial boards of leading international journals and has held senior organizational roles in major IEEE, ACM, and IFIP conferences.

Abstract: Artificial intelligence is evolving from centralized models running in isolated platforms toward distributed populations of autonomous agents operating across devices, edge infrastructures, cloud systems, robots, vehicles, digital twins, and cyber-physical environments. These agents will exchange not only data, but also models, knowledge, decisions, and actions. They will learn collaboratively, adapt to changing conditions, and coordinate their behaviour, giving rise to what can be described as an Internet of AI Agents.

This keynote examines the architectural foundations required to support distributed learning and inference across heterogeneous computing and communication infrastructures. It will discuss approaches such as federated and collaborative learning, split inference, model and task partitioning, knowledge exchange, agent discovery, semantic interoperability, and the joint orchestration of communication, computation, storage, and energy resources.

The talk will also explore why current solutions may be insufficient for ecosystems composed of autonomous and continuously evolving entities. Such systems introduce demanding requirements in terms of latency, reliability, scalability, energy efficiency, security, trust, provenance, and accountability. In many applications, the network must become more than a transport infrastructure: it must provide an intelligent coordination fabric supporting the interaction and lifecycle of distributed agents.