Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges

N Rodríguez-Barroso, D Jiménez-López, MV Luzón… - Information …, 2023 - Elsevier
Federated learning is a machine learning paradigm that emerges as a solution to the privacy-
preservation demands in artificial intelligence. As machine learning, federated learning is …
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Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges

N Rodríguez-Barroso, DJ López, M Luzón… - arXiv preprint arXiv …, 2022 - arxiv.org
Federated learning is a machine learning paradigm that emerges as a solution to the privacy-
preservation demands in artificial intelligence. As machine learning, federated learning is …

Survey on federated learning threats:: Concepts, taxonomy on attacks and defences, experimental study and challenges

N Rodríguez-Barroso, D Jiménez-López, MV Luzón… - 2023 - dl.acm.org
Federated learning is a machine learning paradigm that emerges as a solution to the privacy-
preservation demands in artificial intelligence. As machine learning, federated learning is …

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

N Rodríguez Barroso, D Jiménez López… - 2022 - digibug.ugr.es
Federated learning is a machine learning paradigm that emerges as a solution to the privacy-
preservation demands in artificial intelligence. As machine learning, federated learning is …

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

N Rodríguez-Barroso, D Jiménez López… - arXiv e …, 2022 - ui.adsabs.harvard.edu
Federated learning is a machine learning paradigm that emerges as a solution to the privacy-
preservation demands in artificial intelligence. As machine learning, federated learning is …