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Daniel Jiménez-López

1 paper here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • cs.CR1
ORCID 0000-0002-8575-472X
same name
  • Daniel Jiménez-López — 3 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

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

294 citations · 294 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CR2022★ 294 cited

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

Nuria Rodríguez-Barroso, Daniel Jiménez López, M. Victoria Luzón +2

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.