most citedAnalyzing the Robustness of Decentralized Horizontal and Vertical Federated Learning Architectures in a Non-IID Scenario

4 citations · 6 across the 3 of their papers we have counts for

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cs.CR2023★ 2 cited

Mitigating Communications Threats in Decentralized Federated Learning through Moving Target Defense

Enrique Tomás Martínez Beltrán, Pedro Miguel Sánchez Sánchez, Sergio López Bernal +4

The rise of Decentralized Federated Learning (DFL) has enabled the training of machine learning models across federated participants, fostering decentralized model aggregation and…

cs.CR2023

Single-board Device Individual Authentication based on Hardware Performance and Autoencoder Transformer Models

Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán, Gérôme Bovet +1

The proliferation of the Internet of Things (IoT) has led to the emergence of crowdsensing applications, where a multitude of interconnected devices collaboratively collect and ana…