275 citations · 1.1k across the 72 of their papers we have counts for
9 papers · 1 filter
Edge-device Collaborative Computing for Multi-view Classification
Marco Palena, Tania Cerquitelli, Carla Fabiana Chiasserini
Motivated by the proliferation of Internet-of-Thing (IoT) devices and the rapid advances in the field of deep learning, there is a growing interest in pushing deep learning computa…
Personalized and Context-aware Route Planning for Edge-assisted Vehicles
Dinesh Cyril Selvaraj, Falko Dressler, Carla Fabiana Chiasserini
Conventional route planning services typically offer the same routes to all drivers, focusing primarily on a few standardized factors such as travel distance or time, overlooking i…
Adaptive Autopilot: Constrained DRL for Diverse Driving Behaviors
Dinesh Cyril Selvaraj, Christian Vitale, Tania Panayiotou +3
In pursuit of autonomous vehicles, achieving human-like driving behavior is vital. This study introduces adaptive autopilot (AA), a unique framework utilizing constrained-deep rein…
OREO: O-RAN intElligence Orchestration of xApp-based network services
Federico Mungari, Corrado Puligheddu, Andres Garcia-Saavedra +1
The Open Radio Access Network (O-RAN) architecture aims to support a plethora of network services, such as beam management and network slicing, through the use of third-party appli…
Combining Relevance and Magnitude for Resource-Aware DNN Pruning
Carla Fabiana Chiasserini, Francesco Malandrino, Nuria Molner +1
Pruning neural networks, i.e., removing some of their parameters whilst retaining their accuracy, is one of the main ways to reduce the latency of a machine learning pipeline, espe…
Edge-Assisted ML-Aided Uncertainty-Aware Vehicle Collision Avoidance at Urban Intersections
Dinesh Cyril Selvaraj, Christian Vitale, Tania Panayiotou +3
Intersection crossing represents one of the most dangerous sections of the road infrastructure and Connected Vehicles (CVs) can serve as a revolutionary solution to the problem. In…