49 citations · 155 across the 45 of their papers we have counts for
11 papers · 1 filter
Coordination-free Decentralised Federated Learning on Complex Networks: Overcoming Heterogeneity
Lorenzo Valerio, Chiara Boldrini, Andrea Passarella +3
Federated Learning (FL) is a well-known framework for successfully performing a learning task in an edge computing scenario where the devices involved have limited resources and in…
On the Potential of an Independent Avatar to Augment Metaverse Social Networks
Theofanis P. Raptis, Chiara Boldrini, Marco Conti +1
We present a computational modelling approach which targets capturing the specifics on how to virtually augment a Metaverse user's available social time capacity via using an indep…
Optimizing delegation between human and AI collaborative agents
Andrew Fuchs, Andrea Passarella, Marco Conti
In the context of humans operating with artificial or autonomous agents in a hybrid team, it is essential to accurately identify when to authorize those team members to perform act…
Exploring the Impact of Disrupted Peer-to-Peer Communications on Fully Decentralized Learning in Disaster Scenarios
Luigi Palmieri, Chiara Boldrini, Lorenzo Valerio +2
Fully decentralized learning enables the distribution of learning resources and decision-making capabilities across multiple user devices or nodes, and is rapidly gaining popularit…
Routing in Quantum Repeater Networks with Mixed Efficiency Figures
Vinay Kumar, Claudio Cicconetti, Marco Conti +1
This study explores an approach to routing in quantum networks, which targets practical scenarios for quantum networks, mirroring real-world classical networks. By addressing pract…
The effect of network topologies on fully decentralized learning: a preliminary investigation
Luigi Palmieri, Lorenzo Valerio, Chiara Boldrini +1
In a decentralized machine learning system, data is typically partitioned among multiple devices or nodes, each of which trains a local model using its own data. These local models…
Qkd@Edge: Online Admission Control of Edge Applications with QKD-secured Communications
Claudio Cicconetti, Marco Conti, Andrea Passarella
Quantum Key Distribution (QKD) enables secure communications via the exchange of cryptographic keys exploiting the properties of quantum mechanics. Nowadays the related technology…
Human-AI Coevolution
Dino Pedreschi, Luca Pappalardo, Emanuele Ferragina +14
Human-AI coevolution, defined as a process in which humans and AI algorithms continuously influence each other, increasingly characterises our society, but is understudied in artif…
Cultural Differences in Signed Ego Networks on Twitter: An Investigatory Analysis
Jack Tacchi, Chiara Boldrini, Andrea Passarella +1
Human social behaviour has been observed to adhere to certain structures. One such structure, the Ego Network Model (ENM), has been found almost ubiquitously in human society. Rece…
Compensating for Sensing Failures via Delegation in Human-AI Hybrid Systems
Andrew Fuchs, Andrea Passarella, Marco Conti
Given an increasing prevalence of intelligent systems capable of autonomous actions or augmenting human activities, it is important to consider scenarios in which the human, autono…
Service Differentiation and Fair Sharing in Distributed Quantum Computing
Claudio Cicconetti, Marco Conti, Andrea Passarella
In the future, quantum computers will become widespread and a network of quantum repeaters will provide them with end-to-end entanglement of remote quantum bits. As a result, a per…