1 citations · 2 across the 11 of their papers we have counts for
5 papers · 1 filter
To Train or Not to Train: Balancing Efficiency and Training Cost in Deep Reinforcement Learning for Mobile Edge Computing
Maddalena Boscaro, Federico Mason, Federico Chiariotti +1
Artificial Intelligence (AI) is a key component of 6G networks, as it enables communication and computing services to adapt to end users' requirements and demand patterns. The mana…
Eavesdropping on Goal-Oriented Communication: Timing Attacks and Countermeasures
Federico Mason, Federico Chiariotti, Pietro Talli +1
Goal-oriented communication is a new paradigm that considers the meaning of transmitted information to optimize communication. One possible application is the remote monitoring of…
Pragmatic Communication for Remote Control of Finite-State Markov Processes
Pietro Talli, Edoardo David Santi, Federico Chiariotti +4
Pragmatic or goal-oriented communication can optimize communication decisions beyond the reliable transmission of data, instead aiming at directly affecting application performance…
Effective Communication with Dynamic Feature Compression
Pietro Talli, Francesco Pase, Federico Chiariotti +2
The remote wireless control of industrial systems is one of the major use cases for 5G and beyond systems: in these cases, the massive amounts of sensory information that need to b…
Push- and Pull-based Effective Communication in Cyber-Physical Systems
Pietro Talli, Federico Mason, Federico Chiariotti +1
In Cyber Physical Systems (CPSs), two groups of actors interact toward the maximization of system performance: the sensors, observing and disseminating the system state, and the ac…