Author

Lucia Innocenti

Institut national de recherche en sciences et technologies du numérique

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

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Approach:benchmark study· 1 Research Focus:benchmarking· 1

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Marco LorenziiD· 1 shared Michela AntonelliiD· 1 shared Sebastien Ourselin AiD· 1 shared Vicky GohiD· 1 shared

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2024-2024 · peak 1/yr

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4 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Marco LorenziORCID

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1 paper

Recent·Most cited

A cautionary tale on the cost-effectiveness of collaborative AI in real-world medical applications.

Lucia Innocenti, Sebastien Ourselin A, Vicky Goh, Michela Antonelli, Marco Lorenzi

This study benchmarks the accuracy and cost-effectiveness of federated learning and consensus-based learning in medical data analysis, finding that consensus-based learning is more cost-effective with comparable accuracy.

bioRxiv · May 27, 2024 · PreprintBioinformatics