Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Arévalo, Irina"'
Autor:
Salmeron, Jose L., Arévalo, Irina
Publikováno v:
Journal of Big Data volume 11, Article number: 56 (2024)
Federated learning is an emerging machine learning approach that allows the construction of a model between several participants who hold their own private data. This method is secure and privacy-preserving, suitable for training a machine learning m
Externí odkaz:
http://arxiv.org/abs/2404.16180
Autor:
Arévalo, Irina, Salmeron, Jose L.
Publikováno v:
IEEE Transactions on Emerging Topics in Computing, 2023
Federated Learning is a machine learning approach that enables the training of a deep learning model among several participants with sensitive data that wish to share their own knowledge without compromising the privacy of their data. In this researc
Externí odkaz:
http://arxiv.org/abs/2402.10145
Publikováno v:
Heliyon 9 (2023) e16925
The increasing requirements for data protection and privacy has attracted a huge research interest on distributed artificial intelligence and specifically on federated learning, an emerging machine learning approach that allows the construction of a
Externí odkaz:
http://arxiv.org/abs/2402.10135
Autor:
Salmeron, Jose L., Arévalo, Irina
Distributed Artificial Intelligence is attracting interest day by day. In this paper, the authors introduce an innovative methodology for distributed learning of Particle Swarm Optimization-based Fuzzy Cognitive Maps in a privacy-preserving way. The
Externí odkaz:
http://arxiv.org/abs/2402.10102
Autor:
Salmeron, Jose L., Arévalo, Irina
Publikováno v:
In Future Generation Computer Systems January 2025 162
Publikováno v:
In Heliyon June 2023 9(6)
Autor:
Arévalo, Irina, Oliva, Marcos
We study the strong continuity of weighted composition semigroups of the form $T_tf=\varphi_t'\left(f\circ\varphi_t\right)$ in several spaces of analytic functions. First we give a general result on separable spaces and use it to prove that these sem
Externí odkaz:
http://arxiv.org/abs/1706.09001
Autor:
Arévalo, Irina, Vukotić, Dragan
Publikováno v:
J. Spectral Theory 10 (2020), No. 2, 673-701
We work with very general Banach spaces of analytic functions in the disk or other domains which satisfy a minimum number of natural axioms. Among the preliminary results, we discuss some implications of the basic axioms and identify all functional B
Externí odkaz:
http://arxiv.org/abs/1706.07133
We characterize the semigroups of composition operators that are strongly continuous on the mixed norm spaces $H(p,q,\alpha)$. First, we study the separable spaces $H(p,q,\alpha)$ with $q<\infty,$ that behave as the Hardy and Bergman spaces. In the s
Externí odkaz:
http://arxiv.org/abs/1610.08784
Publikováno v:
Monatsh. Math. 187 (2018), no. 3, 459--477
We characterize in various ways the weighted composition transformations which preserve the class ${\mathcal P}$ of normalized analytic functions in the disk with positive real part. We analyze the meaning of the criteria obtained for various special
Externí odkaz:
http://arxiv.org/abs/1608.04577