Search Results for author: Federico Chiariotti

Found 14 papers, 3 papers with code

A Fairness-Oriented Reinforcement Learning Approach for the Operation and Control of Shared Micromobility Services

no code implementations23 Mar 2024 Luca Vittorio Piron, Matteo Cederle, Marina Ceccon, Federico Chiariotti, Alessandro Fabris, Marco Fabris, Gian Antonio Susto

As Machine Learning systems become increasingly popular across diverse application domains, including those with direct human implications, the imperative of equity and algorithmic fairness has risen to prominence in the Artificial Intelligence community.

Fairness Q-Learning

Effective Communication with Dynamic Feature Compression

1 code implementation29 Jan 2024 Pietro Talli, Francesco Pase, Federico Chiariotti, Andrea Zanella, Michele Zorzi

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 be shared over the wireless medium may overload even high-capacity connections.

Feature Compression Quantization

Push- and Pull-based Effective Communication in Cyber-Physical Systems

1 code implementation15 Jan 2024 Pietro Talli, Federico Mason, Federico Chiariotti, Andrea Zanella

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 actuators, performing physical decisions based on the received information.

Fast Context Adaptation in Cost-Aware Continual Learning

no code implementations6 Jun 2023 Seyyidahmed Lahmer, Federico Mason, Federico Chiariotti, Andrea Zanella

This creates friction: on the one hand, the learning process needs resources to quickly convergence to an effective strategy; on the other hand, the learning process needs to be efficient, i. e., take as few resources as possible from the user's data plane, so as not to throttle users' QoS.

Continual Learning Friction +1

Multi-Agent Reinforcement Learning for Pragmatic Communication and Control

no code implementations28 Feb 2023 Federico Mason, Federico Chiariotti, Andrea Zanella, Petar Popovski

In this work, we propose a joint design that combines goal-oriented communication and networked control into a single optimization model, an extension of a multiagent POMDP which we call Cyber-Physical POMDP (CP-POMDP).

Multi-agent Reinforcement Learning reinforcement-learning +1

The Role of Game Networking in the Fusion of Physical and Digital Worlds through 6G Wireless

no code implementations3 Feb 2023 Van-Phuc Bui, Shashi Raj Pandey, Andreas Casparsen, Federico Chiariotti, Petar Popovski

From the viewpoint of communication and networking, this will represent an evolution of the game networking technology, designed to interconnect massive users in real-time online gaming environments.

Scheduling Policy for Value-of-Information (VoI) in Trajectory Estimation for Digital Twins

no code implementations26 Jan 2023 Van-Phuc Bui, Shashi Raj Pandey, Federico Chiariotti, Petar Popovski

This paper presents an approach to schedule observations from different sensors in an environment to ensure their timely delivery and build a digital twin (DT) model of the system dynamics.

Scheduling

Semantic and Effective Communication for Remote Control Tasks with Dynamic Feature Compression

no code implementations14 Jan 2023 Pietro Talli, Francesco Pase, Federico Chiariotti, Andrea Zanella, Michele Zorzi

The coordination of robotic swarms and the remote wireless control of industrial systems are among the major use cases for 5G and beyond systems: in these cases, the massive amounts of sensory information that needs to be shared over the wireless medium can overload even high-capacity connections.

Feature Compression Quantization

The Cost of Learning: Efficiency vs. Efficacy of Learning-Based RRM for 6G

no code implementations30 Nov 2022 Seyyidahmed Lahmer, Federico Chiariotti, Andrea Zanella

This creates a friction between the need to speed up convergence towards an effective strategy, which requires the allocation of resources to transmit learning samples, and the need to maximize the amount of resources used for data plane communication, maximizing users' Quality of Service (QoS), which requires the learning process to be efficient, i. e., minimize its overhead.

Friction Management

Distributed Reinforcement Learning for Flexible and Efficient UAV Swarm Control

no code implementations8 Mar 2021 Federico Venturini, Federico Mason, Francesco Pase, Federico Chiariotti, Alberto Testolin, Andrea Zanella, Michele Zorzi

The proposed framework relies on the possibility for the UAVs to exchange some information through a communication channel, in order to achieve context-awareness and implicitly coordinate the swarm's actions.

reinforcement-learning Reinforcement Learning (RL)

A Survey on 360-Degree Video: Coding, Quality of Experience and Streaming

no code implementations16 Feb 2021 Federico Chiariotti

The commercialization of Virtual Reality (VR) headsets has made immersive and 360-degree video streaming the subject of intense interest in the industry and research communities.

Multimedia Networking and Internet Architecture Image and Video Processing

Hidden Markov Model-Based Encoding for Time-Correlated IoT Sources

no code implementations19 Jan 2021 Siddharth Chandak, Federico Chiariotti, Petar Popovski

As the use of Internet of Things (IoT) devices for monitoring purposes becomes ubiquitous, the efficiency of sensor communication is a major issue for the modern Internet.

Networking and Internet Architecture 94A05 (Primary), 94B35, 62M05 (Secondary) E.4; H.1.1

Peak Age of Information Distribution in Tandem Queue Systems

1 code implementation10 Apr 2020 Federico Chiariotti, Olga Vikhrova, Beatriz Soret, Petar Popovski

Age of Information is a critical metric for several Internet of Things (IoT) applications, where sensors keep track of the environment by sending updates that need to be as fresh as possible.

Networking and Internet Architecture 60K25, 68M20 C.2.2; G.3

A Game-Theoretic and Experimental Analysis of Energy-Depleting Underwater Jamming Attacks

no code implementations6 Dec 2019 Alberto Signori, Federico Chiariotti, Filippo Campagnaro, Michele Zorzi

Security aspects in underwater wireless networks have not been widely investigated so far, despite the critical importance of the scenarios in which these networks can be employed.

Networking and Internet Architecture

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