1 citations · 2 across the 11 of their papers we have counts for
12 papers
Value-Based Massive Access through Goal-Oriented Irregular Repetition Slotted ALOHA
Pietro Talli, Andrea Munari, Federico Mason +2
The goal-oriented communication paradigm is poised to enable novel real-time applications by easing the burden on communication networks while still delivering task-relevant inform…
GO-GenZip: Goal-Oriented Generative Sampling and Hybrid Compression
Pietro Talli, Qi Liao, Alessandro Lieto +3
Current network data telemetry pipelines consist of massive streams of fine-grained Key Performance Indicators (KPIs) from multiple distributed sources towards central aggregators,…
A Theory of Goal-Oriented Medium Access: Protocol Design and Distributed Bandit Learning
Federico Chiariotti, Andrea Zanella
The Goal-oriented Communication (GoC) paradigm breaks the separation between communication and the content of the data, tailoring communication decisions to the specific needs of t…
End-to-end Modeling and Optimization of Timing and Energy in Wireless IoT Systems
Pietro Talli, Anup Mishra, Federico Chiariotti +3
With the advent of edge computing, data generated by end devices can be pre-processed before transmission, possibly saving transmission time and energy. On the other hand, data pro…
Robust Remote Reinforcement Learning over Unreliable Communication Channels using Homomorphic State Encoding
Pietro Talli, Federico Mason, Federico Chiariotti +1
Traditional Reinforcement Learning (RL) frameworks generally assume that the agent perceives the state of the underlying Markov process instantaneously and then takes actions accor…
Secure Goal-Oriented Communication: Defending against Eavesdropping Timing Attacks
Federico Mason, Federico Chiariotti, Pietro Talli +1
Goal-oriented Communication (GoC) is a new paradigm that plans data transmission to occur only when it is instrumental for the receiver to achieve a certain goal. This leads to the…
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…
Energy-Efficient Internet of Things Monitoring with Content-Based Wake-Up Radio
Anay Ajit Deshpande, Federico Chiariotti, Andrea Zanella
The use of Wake-Up Radio (WUR) in Internet of Things (IoT) networks can significantly improve their energy efficiency: battery-powered sensors can remain in a low-power (sleep) mod…