Integrating differential privacy into federated multi-task learning algorithms in <tt> <b>dsMTL</b> </tt>

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Publication Details

Journal
Bioinformatics Advances
Published
2024-12-26
DOI
https://doi.org/10.1093/bioadv/vbaf298
Primary Topic
Privacy-Preserving Technologies in Data
Type
article
Field-Weighted Citation Impact
0.00

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article

Integrating differential privacy into federated multi-task learning algorithms in <tt> dsMTL </tt>

Emanuel Schwarz, Sivanesan Rajan, Xavier Escribà-Montagut, Roman Schefzik et al.
Bioinformatics Advances
Privacy-Preserving Technologies in Data
article

Integrating differential privacy into federated multi-task learning algorithms in <tt> dsMTL </tt>

Emanuel Schwarz, Sivanesan Rajan, Xavier Escribà-Montagut, Roman Schefzik, Han Cao, Juan R González
article en

Abstract

No abstract available for this paper.
Bioinformatics AdvancesVol. 5(1)
Heidelberg University (DE), University Hospital Heidelberg (DE), Central Institute of Mental Health (DE), Barcelona Institute for Global Health (ES)
Bundesministerium für Bildung und Forschung, Hector Stiftung, Hector Stiftung II
Openalex Percentile: Top 71%
Privacy-Preserving Technologies in Data
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