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Wireless Distributed Edge Learning: How Many Edge Devices Do We Need?
Jaeyoung Song, Marios Kountouris
We consider distributed machine learning at the wireless edge, where a parameter server builds a global model with the help of multiple wireless edge devices that perform computati…
Deep Reinforcement Learning for Resource Constrained Multiclass Scheduling in Wireless Networks
Apostolos Avranas, Marios Kountouris, Philippe Ciblat
The problem of resource constrained scheduling in a dynamic and heterogeneous wireless setting is considered here. In our setup, the available limited bandwidth resources are alloc…
Team Deep Mixture of Experts for Distributed Power Control
Matteo Zecchin, David Gesbert, Marios Kountouris
In the context of wireless networking, it was recently shown that multiple DNNs can be jointly trained to offer a desired collaborative behaviour capable of coping with a broad ran…
Semantics-Empowered Communication for Networked Intelligent Systems
Marios Kountouris, Nikolaos Pappas
Wireless connectivity has traditionally been regarded as an opaque data pipe carrying messages, whose context-dependent meaning and effectiveness have been ignored. Nevertheless, i…