Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Nuria Rodríguez-Barroso"'
Autor:
Nuria Rodríguez-Barroso, Daniel Jiménez-López, M. Victoria Luzón, Francisco Herrera, Eugenio Martínez-Cámara
Publikováno v:
Information Fusion. 90:148-173
Federated learning is a machine learning paradigm that emerges as a solution to the privacy-preservation demands in artificial intelligence. As machine learning, federated learning is threatened by adversarial attacks against the integrity of the lea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dfef899d96b0c4ba76ff3aa6d274fff8
https://doi.org/10.1016/j.inffus.2022.09.011
https://doi.org/10.1016/j.inffus.2022.09.011
Publikováno v:
Digibug. Repositorio Institucional de la Universidad de Granada
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Federated learning, as a distributed learning that conducts the training on the local devices without accessing to the training data, is vulnerable to Byzatine poisoning adversarial attacks. We argue that the federated learning model has to avoid tho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3e39584a989782f5739f34c3fd94a06
https://doi.org/10.1016/j.future.2022.03.003
https://doi.org/10.1016/j.future.2022.03.003
Publikováno v:
Knowledge-Based Systems. 245:108588
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64b5f14967bf26a510971d89ad012c32
https://doi.org/10.1016/j.knosys.2022.108588
https://doi.org/10.1016/j.knosys.2022.108588
Autor:
Gerardo González-Seco, Eugenio Martínez-Cámara, Francisco López Herrera, Miguel Angel Veganzones, M. Victoria Luzón, Nuria Rodríguez-Barroso, José Antonio Ruiz-Millán, Daniel Jiménez-López, Goran Stipcich
The high demand of artificial intelligence services at the edges that also preserve data privacy has pushed the research on novel machine learning paradigms that fit those requirements. Federated learning has the ambition to protect data privacy thro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb705126fbf34b7321b18468c1a84f86
Autor:
José Antonio Salinas Fernández, Antonio R. Moya, Elena Romero, Francisco Herrera, Nuria Rodríguez-Barroso, Eugenio Martínez-Cámara
Publikováno v:
FedCSIS
The state of the art in Sentiment Analysis is defined by deep learning methods, and currently the research efforts are focused on improving the encoding of underlying contextual information in a sequence of text. However, those neural networks with a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a34b92ad500bd85c32f37769b206e30d
https://doi.org/10.15439/2019f183
https://doi.org/10.15439/2019f183