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Irina Arévalo
ORCID
Publication Activity (10 Years)
Years Active: 2020-2025
Publications (10 Years): 9
Top Topics
Biomedical Data
Image Encryption
Multi Party
Privacy Protection
Top Venues
CoRR
EAIS
Future Gener. Comput. Syst.
J. Big Data
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Publications
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Jose L. Salmeron
,
Irina Arévalo
Concurrent vertical and horizontal federated learning with fuzzy cognitive maps.
Future Gener. Comput. Syst.
162 (2025)
Irina Arévalo
,
Jose L. Salmeron
A Chaotic Maps-Based Privacy-Preserving Distributed Deep Learning for Incomplete and Non-IID Datasets.
IEEE Trans. Emerg. Top. Comput.
12 (1) (2024)
Irina Arévalo
,
Jose L. Salmeron
A chaotic maps-based privacy-preserving distributed deep learning for incomplete and Non-IID datasets.
CoRR
(2024)
Jose L. Salmeron
,
Irina Arévalo
,
Antonio Ruiz-Celma
Benchmarking federated strategies in Peer-to-Peer Federated learning for biomedical data.
CoRR
(2024)
Jose L. Salmeron
,
Irina Arévalo
Blind Federated Learning without initial model.
CoRR
(2024)
Jose L. Salmeron
,
Irina Arévalo
A privacy-preserving, distributed and cooperative FCM-based learning approach for Cancer Research.
CoRR
(2024)
Irina Arévalo
,
Jose L. Salmeron
,
Ivan Romero
Privacy-preserving distributed learning with chaotic maps.
EAIS
(2024)
Jose L. Salmeron
,
Irina Arévalo
Blind Federated Learning without initial model.
J. Big Data
11 (1) (2024)
Jose L. Salmeron
,
Irina Arévalo
A Privacy-Preserving, Distributed and Cooperative FCM-Based Learning Approach for Cancer Research.
IJCRS
(2020)