669 citations · 1.8k across the 68 of their papers we have counts for
8 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…
A Survey on Model-heterogeneous Federated Learning: Problems, Methods, and Prospects
Boyu Fan, Siyang Jiang, Xiang Su +2
As privacy concerns continue to grow, federated learning (FL) has gained significant attention as a promising privacy-preserving technology, leading to considerable advancements in…
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…
Adaptive Compression-Aware Split Learning and Inference for Enhanced Network Efficiency
Akrit Mudvari, Antero Vainio, Iason Ofeidis +2
The growing number of AI-driven applications in mobile devices has led to solutions that integrate deep learning models with the available edge-cloud resources. Due to multiple ben…
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…
SoK: Distributed Computing in ICN
Wei Geng, Yulong Zhang, Dirk Kutscher +3
Information-Centric Networking (ICN), with its data-oriented operation and generally more powerful forwarding layer, provides an attractive platform for distributed computing. This…
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…
A Satellite Imagery Dataset for Long-Term Sustainable Development in United States Cities
Yanxin Xi, Yu Liu, Tong Li +5
Cities play an important role in achieving sustainable development goals (SDGs) to promote economic growth and meet social needs. Especially satellite imagery is a potential data s…