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ARGO: Apprentissage, graphes et optimisation distribuée

France

1 paper here4 citations across 1
fields
  • cs.LG1
ROR 02jkb9r34OpenAlex

affiliations via OpenAlex

most citedSIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization

4 citations

researchers with a paper here
  • Kevin Scaman1 · h 3
  • Laetitia Kameni1 · h 9
  • Marco Lorenzi1 · h 10
  • Martin Van Waerebeke1 · h 2
  • Richard Vidal1 · h 12
  • Yann Fraboni1 · h 7
collaborating institutions
  • Accenture (Ireland)IE1 paper
  • EPIONE: E-Patient : Images, données & mOdèles pour la médeciNe numériquEFR1 paper

1 paper

cs.LG2022★ 4 cited

SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization

Yann Fraboni, Martin Van Waerebeke, Kevin Scaman +3

Machine Unlearning (MU) is an increasingly important topic in machine learning safety, aiming at removing the contribution of a given data point from a training procedure. Federate…

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