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M. Victoria Luzón

RAB$^2$-DEF: Dynamic and explainable defense against adversarial attacks in Federated Learning to fair poor clients

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Oct 10, 2024
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FLEX: FLEXible Federated Learning Framework

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Apr 09, 2024
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An Interpretable Client Decision Tree Aggregation process for Federated Learning

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Apr 03, 2024
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Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges

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Jan 20, 2022
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Dynamic Federated Learning Model for Identifying Adversarial Clients

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Jul 29, 2020
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Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy

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Jul 02, 2020
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