13 citations · 29 across the 12 of their papers we have counts for
5 papers · 1 filter
Towards Message Brokers for Generative AI: Survey, Challenges, and Opportunities
Alaa Saleh, Roberto Morabito, Sasu Tarkoma +2
In today's digital world, Generative Artificial Intelligence (GenAI) such as Large Language Models (LLMs) is becoming increasingly prevalent, extending its reach across diverse app…
AI-native Interconnect Framework for Integration of Large Language Model Technologies in 6G Systems
Sasu Tarkoma, Roberto Morabito, Jaakko Sauvola
The evolution towards 6G architecture promises a transformative shift in communication networks, with artificial intelligence (AI) playing a pivotal role. This paper delves deep in…
Device Sampling and Resource Optimization for Federated Learning in Cooperative Edge Networks
Su Wang, Roberto Morabito, Seyyedali Hosseinalipour +2
The conventional federated learning (FedL) architecture distributes machine learning (ML) across worker devices by having them train local models that are periodically aggregated b…
Edge AI Inference in Heterogeneous Constrained Computing: Feasibility and Opportunities
Roberto Morabito, Mallik Tatipamula, Sasu Tarkoma +1
The network edge's role in Artificial Intelligence (AI) inference processing is rapidly expanding, driven by a plethora of applications seeking computational advantages. These appl…
How Can AI be Distributed in the Computing Continuum? Introducing the Neural Pub/Sub Paradigm
Lauri Lovén, Roberto Morabito, Abhishek Kumar +3
This paper proposes the neural publish/subscribe paradigm, a novel approach to orchestrating AI workflows in large-scale distributed AI systems in the computing continuum. Traditio…