42 citations · 68 across the 5 of their papers we have counts for
6 papers
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…
Resource-aware Deployment of Dynamic DNNs over Multi-tiered Interconnected Systems
Chetna Singhal, Yashuo Wu, Francesco Malandrino +2
The increasing pervasiveness of intelligent mobile applications requires to exploit the full range of resources offered by the mobile-edge-cloud network for the execution of infere…
A Belief Propagation Solution for Beam Coordination in MmWave Vehicular Networks
Zana Limani Fazliu, Francesco Malandrino, Carla Fabiana Chiasserini +1
Millimeter-wave communication is widely seen as a promising option to increase the capacity of vehicular networks, where it is expected that connected cars will soon need to transm…
V-Edge: Virtual Edge Computing as an Enabler for Novel Microservices and Cooperative Computing
Falko Dressler, Carla Fabiana Chiasserini, Frank H. P. Fitzek +8
As we move from 5G to 6G, edge computing is one of the concepts that needs revisiting. Its core idea is still intriguing: instead of sending all data and tasks from an end user's d…
An Optimization-enhanced MANO for Energy-efficient 5G Networks
Francesco Malandrino, Carla-Fabiana Chiasserini, Claudio Casetti +2
5G network nodes, fronthaul and backhaul alike, will have both forwarding and computational capabilities. This makes energy-efficient network management more challenging, as decisi…
Fast Resource Scheduling in HetNets with D2D Support
Francesco Malandrino, Claudio Casetti, Carla-Fabiana Chiasserini +1
Resource allocation in LTE networks is known to be an NP-hard problem. In this paper, we address an even more complex scenario: an LTE-based, 2-tier heterogeneous network where D2D…