Edwige Cyffers
Scholar

Edwige Cyffers

Google Scholar ID: WDB4HqIAAAAJ
Postdoctoral Fellow, ISTA
Machine LearningTrustworthy Machine LearningFederated LearningPrivacy
Citations & Impact
All-time
Citations
353
 
H-index
6
 
i10-index
6
 
Publications
12
 
Co-authors
1
list available
Resume (English only)
Academic Achievements
  • Awarded the L’Oréal-UNESCO Young Talents award for her doctoral work.
Research Experience
  • Currently a Postdoc at ISTA (Vienna) working with Christoph Lampert and Marco Mondelli on Trustworthy Machine Learning. Previously, she worked on Differential Privacy for Decentralized Learning in the Magnet team.
Education
  • PhD from Inria/Université de Lille (2021-2024), supervised by Aurélien Bellet; MSc MVA from PSL/ENS Paris-Saclay (2019-2020); MA LOPHISC from Sorbonne University (2019-2021); MSc Civil Engineer from Mines de Paris (2020-2021); Normalienne at ENS Lyon (2017-2021).
Background
  • Research interests include privacy in ML, federated and decentralized ML, and trustworthy ML. Her work particularly focuses on privacy, fairness, accountability, and regulatory issues. She is also interested in philosophy and science popularization.
Miscellany
  • Passionate about promoting women in STEM, particularly involved in organizing EGMO 2026.