Zobrazeno 1 - 10
of 493
pro vyhledávání: '"Passarella, Andrea"'
Federated Learning (FL) is a pivotal approach in decentralized machine learning, especially when data privacy is crucial and direct data sharing is impractical. While FL is typically associated with supervised learning, its potential in unsupervised
Externí odkaz:
http://arxiv.org/abs/2408.10664
Federated Learning (FL) promises better privacy guarantees for individuals' data when machine learning models are collaboratively trained. When an FL participant exercises its right to be forgotten, i.e., to detach from the FL framework it has partic
Externí odkaz:
http://arxiv.org/abs/2408.07587
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
The Expert Finding (EF) task is critical in community Question&Answer (CQ&A) platforms, significantly enhancing user engagement by improving answer quality and reducing response times. However, biases, especially gender biases, have been identified i
Externí odkaz:
http://arxiv.org/abs/2407.05335
Online Community Question Answering (CQA) platforms have become indispensable tools for users seeking expert solutions to their technical queries. The effectiveness of these platforms relies on their ability to identify and direct questions to the mo
Externí odkaz:
http://arxiv.org/abs/2407.04018
Autor:
Tacchi, Jack, Khiabani, Parisa Jamadi, Zubiaga, Arkaitz, Boldrini, Chiara, Passarella, Andrea
Understanding human interactions and social structures is an incredibly important task, especially in such an interconnected world. One task that facilitates this is Stance Detection, which predicts the opinion or attitude of a text towards a target
Externí odkaz:
http://arxiv.org/abs/2407.01293
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
5G and beyond support the deployment of vertical applications, which is particularly appealing in combination with network slicing and edge computing to create a logically isolated environment for executing customer services. Even if serverless compu
Externí odkaz:
http://arxiv.org/abs/2405.04263
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