activity
20192023
most cited6G White Paper on Edge Intelligence

126 citations · 280 across the 7 of their papers we have counts for

collaborators

7 papers

cs.NI2023★ 5 cited

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…

cs.NI2023★ 4 cited

Energy-Sustainable IoT Connectivity: Vision, Technological Enablers, Challenges, and Future Directions

Onel A. López, Osmel M. Rosabal, David Ruiz-Guirola +4

Technology solutions must effectively balance economic growth, social equity, and environmental integrity to achieve a sustainable society. Notably, although the Internet of Things…

cs.MA2022★ 21 cited

Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration

Henna Kokkonen, Lauri Lovén, Naser Hossein Motlagh +15

Future AI applications require performance, reliability and privacy that the existing, cloud-dependant system architectures cannot provide. In this article, we study orchestration…

stat.AP2020★ 2 cited

Capacitated spatial clustering with multiple constraints and attributes

Leena Ruha, Tero Lähderanta, Lauri Lovén +4

Capacitated spatial clustering, a type of unsupervised machine learning method, is often used to tackle problems in compressing, classifying, logistic optimization and infrastructu…

cs.DC2020★ 126 cited

6G White Paper on Edge Intelligence

Ella Peltonen, Mehdi Bennis, Michele Capobianco +16

In this white paper we provide a vision for 6G Edge Intelligence. Moving towards 5G and beyond the future 6G networks, intelligent solutions utilizing data-driven machine learning…

cs.NI2019★ 100 cited

Edge computing server placement with capacitated location allocation

Tero Lähderanta, Teemu Leppänen, Leena Ruha +5

The deployment of edge computing infrastructure requires a careful placement of the edge servers, with an aim to improve application latencies and reduce data transfer load in oppo…

cs.NI2019★ 22 cited

Open-source RANs in practice: an over-the-air deployment for 5G MEC

Juuso Haavisto, Muhammad Arif, Lauri Lovén +2

Edge computing that leverages cloud resources to the proximity of user devices is seen as the future infrastructure for distributed applications. However, developing and deploying…