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pro vyhledávání: '"CONTI, MARCO"'
Given the diverse array of physical systems available for quantum computing and the absence of a well-defined quantum internet protocol stack, the design and optimisation of quantum networking protocols remain largely unexplored. To address this, we
Externí odkaz:
http://arxiv.org/abs/2407.14407
One of the most impactful measures to fight the COVID-19 pandemic in its early first years was the lockdown, implemented by governments to reduce physical contact among people and minimize opportunities for the virus to spread. As people were compell
Externí odkaz:
http://arxiv.org/abs/2407.01405
The "ego network of words" model captures structural properties in language production associated with cognitive constraints. While previous research focused on the layer-based structure and its semantic properties, this paper argues that an essentia
Externí odkaz:
http://arxiv.org/abs/2406.16676
Autor:
Palmieri, Luigi, Boldrini, Chiara, Valerio, Lorenzo, Passarella, Andrea, Conti, Marco, Kertész, János
In the vibrant landscape of AI research, decentralised learning is gaining momentum. Decentralised learning allows individual nodes to keep data locally where they are generated and to share knowledge extracted from local data among themselves throug
Externí odkaz:
http://arxiv.org/abs/2405.02377
We anticipate increased instances of humans and AI systems working together in what we refer to as a hybrid team. The increase in collaboration is expected as AI systems gain proficiency and their adoption becomes more widespread. However, their beha
Externí odkaz:
http://arxiv.org/abs/2403.08386
Fully decentralized learning is gaining momentum for training AI models at the Internet's edge, addressing infrastructure challenges and privacy concerns. In a decentralized machine learning system, data is distributed across multiple nodes, with eac
Externí odkaz:
http://arxiv.org/abs/2402.18606
Humans are known to structure social relationships according to certain patterns, such as the Ego Network Model (ENM). These patterns result from our innate cognitive limits and can therefore be observed in the vast majority of large human social gro
Externí odkaz:
http://arxiv.org/abs/2402.18235
When humans and autonomous systems operate together as what we refer to as a hybrid team, we of course wish to ensure the team operates successfully and effectively. We refer to team members as agents. In our proposed framework, we address the case o
Externí odkaz:
http://arxiv.org/abs/2402.05605
The Ego Network Model (ENM) is a model for the structural organisation of relationships, rooted in evolutionary anthropology, that is found ubiquitously in social contexts. It takes the perspective of a single user (Ego) and organises their contacts
Externí odkaz:
http://arxiv.org/abs/2401.16562
Publikováno v:
IEEE ICCCN 2024
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 independent and autonomous version of her digital representation in the Met
Externí odkaz:
http://arxiv.org/abs/2312.07077