Irina Arévalo

According to our database, Irina Arévalo authored at least 5 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Blind Federated Learning without initial model.

Jose L. Salmeron, Irina Arévalo

J. Big Data, December, 2024

A Chaotic Maps-Based Privacy-Preserving Distributed Deep Learning for Incomplete and Non-IID Datasets.

Irina Arévalo, Jose L. Salmeron

IEEE Trans. Emerg. Top. Comput., 2024

Benchmarking federated strategies in Peer-to-Peer Federated learning for biomedical data.

Jose L. Salmeron, Irina Arévalo, Antonio Ruiz-Celma

CoRR, 2024

Privacy-preserving distributed learning with chaotic maps.

Irina Arévalo, Jose L. Salmeron, Ivan Romero

Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2024

2020

A Privacy-Preserving, Distributed and Cooperative FCM-Based Learning Approach for Cancer Research.

Jose L. Salmeron, Irina Arévalo

Proceedings of the Rough Sets - International Joint Conference, 2020