Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Germán Capdehourat"'
Autor:
Christian Fachola, Agustín Tornaría, Paola Bermolen, Germán Capdehourat, Lorena Etcheverry, María Inés Fariello
Publikováno v:
Data, Vol 8, Iss 2, p 43 (2023)
Federated learning techniques aim to train and build machine learning models based on distributed datasets across multiple devices while avoiding data leakage. The main idea is to perform training on remote devices or isolated data centers without tr
Externí odkaz:
https://doaj.org/article/e05ba71fa65f4533981adbf3844563f9
Autor:
Gonzalo Carro, Patricia Hernández, Federico Beltramelli, María Simon, Germán Capdehourat, Benigno Rodríguez
Publikováno v:
Revista Politécnica, Vol 44, Iss 1, Pp 21-32 (2019)
El desarrollo constante de las aplicaciones de comunicación inalámbrica, que se refleja en el creciente número de usuarios y la variedad de dispositivos inalámbricos que son utilizados para aplicaciones diarias, representa una demanda creciente d
Externí odkaz:
https://doaj.org/article/1d7218bc8fc5409cb1109e30043119f3
Publikováno v:
Sensors, Vol 19, Iss 1, p 70 (2018)
Plan Ceibal is the name coined in Uruguay for the local implementation of the One Laptop Per Child (OLPC) initiative. Plan Ceibal distributes laptops and tablets to students and teachers, and also deploys a nationwide wireless network to provide Inte
Externí odkaz:
https://doaj.org/article/581109ff71184a3db0a225b73fe91048
Publikováno v:
2023 IEEE Wireless Communications and Networking Conference (WCNC).
Autor:
Christian Fachola, Agustin Tornaria, Paola Bermolen, Germán Capdehourat, Lorena Etcheverry, Maria Ines Fariello
Federated learning techniques aim to train and build machine learning models based on distributed datasets across multiple devices, avoiding data leakage. The main idea is to perform training on remote devices or isolated data centers without transfe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9490e68a4bf44a131b2302f865c0c582
https://doi.org/10.20944/preprints202301.0092.v1
https://doi.org/10.20944/preprints202301.0092.v1
Autor:
Marcelo Fiori, Federico Larroca, Germán Capdehourat, Nicolás Frevenza, Gastón Morales, Paola Bermolen, Gianina Zunino, Claudina Rattaro
Publikováno v:
Wireless Personal Communications
This paper analyzes a large-scale dataset of real-world Wi-Fi operating networks, collected from more than 9,000 access points (APs) for 1 year. The APs are distributed among more than 1,200 educational centers in the context of a nation-wide one-to-
Autor:
Patricia Hernández, Benigno Rodríguez, Gonzalo Carro, Federico Beltramelli, María Simon, Germán Capdehourat
Publikováno v:
Revista Politécnica. 44:21-32
El desarrollo constante de las aplicaciones de comunicación inalámbrica, que se refleja en el creciente número de usuarios y la variedad de dispositivos inalámbricos que son utilizados para aplicaciones diarias, representa una demanda creciente d
Publikováno v:
Data Science – Analytics and Applications ISBN: 9783658321819
Robust network security systems are essential to prevent and mitigate the harming effects of the ever-growing occurrence of network attacks. In recent years, machine learning-based systems have gain popularity for network security applications, usual
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::feec621136ce8c1284b72576bb5f5125
https://doi.org/10.1007/978-3-658-32182-6_16
https://doi.org/10.1007/978-3-658-32182-6_16
Publikováno v:
CNSM
Education Service Providers (ESPs) have a paramount role in the digitization of education, providing reliable devices for students and teachers and high quality Internet access at schools. In this paper, a large-scale, passive, in-device Quality of E
Publikováno v:
ACM SIGMETRICS Performance Evaluation Review. 46:147-150
The application of machine learning models to the analysis of network traffic measurements has largely grown in recent years. In the networking domain, shallow models are usually applied, where a set of expert handcrafted features are needed to fix t