Edwige Cyffers

21 papers A* 7A 1Journal 12
YearRankTypeTitle / Venue / Authors
2026 A* conf
Fedivertex: a Graph Dataset based on Decentralized Social Media.
WWW
Marc Damie, Edwige Cyffers
2025 J jnl
DP-MicroAdam: Private and Frugal Algorithm for Training and Fine-tuning.
CoRR
Mihaela Hudisteanu, Nikita P. Kalinin, Edwige Cyffers
2025 J jnl
Fedivertex: a Graph Dataset based on Decentralized Social Networks for Trustworthy Machine Learning.
CoRR
Marc Damie, Edwige Cyffers
2025 J jnl
Optimal Regularization for Performative Learning.
CoRR
Edwige Cyffers, Alireza Mirrokni, Marco Mondelli
2025 J jnl
Setting ϵ is not the Issue in Differential Privacy.
CoRR
Edwige Cyffers
2025 J jnl
Unified Privacy Guarantees for Decentralized Learning via Matrix Factorization.
CoRR
Aurélien Bellet, Edwige Cyffers, Davide Frey, Romaric Gaudel, Dimitri Lerévérend, François Taïani
2024 — —
Differential Privacy for Decentralized Learning. (Confidentialité différentielle pour l'apprentissage décentralisé).
Edwige Cyffers
2024 A* conf
Differentially Private Decentralized Learning with Random Walks.
ICML
Edwige Cyffers, Aurélien Bellet, Jalaj Upadhyay
2024 J jnl
Differentially Private Decentralized Learning with Random Walks.
CoRR
Edwige Cyffers, Aurélien Bellet, Jalaj Upadhyay
2024 A* conf
Optimal Classification under Performative Distribution Shift.
NeurIPS
Edwige Cyffers, Muni Sreenivas Pydi, Jamal Atif, Olivier Cappé
2024 J jnl
Optimal Classification under Performative Distribution Shift.
CoRR
Edwige Cyffers, Muni Sreenivas Pydi, Jamal Atif, Olivier Cappé
2024 A* conf
Privacy Attacks in Decentralized Learning.
ICML
Abdellah El Mrini, Edwige Cyffers, Aurélien Bellet
2024 J jnl
Privacy Attacks in Decentralized Learning.
CoRR
Abdellah El Mrini, Edwige Cyffers, Aurélien Bellet
2023 A* conf
From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning.
ICML
Edwige Cyffers, Aurélien Bellet, Debabrota Basu
2023 J jnl
From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning.
CoRR
Edwige Cyffers, Aurélien Bellet, Debabrota Basu
2022 A* conf
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings.
NeurIPS
Jean Ogier du Terrail, Samy-Safwan Ayed, Edwige Cyffers, Felix Grimberg, Chaoyang He, Regis Loeb, Paul Mangold, Tanguy Marchand, Othmane Marfoq, Erum Mushtaq, Boris Muzellec, Constantin Philippenko, Santiago Silva, Maria Telenczuk, Shadi Albarqouni, Salman Avestimehr, Aurélien Bellet, Aymeric Dieuleveut, Martin Jaggi, Sai Praneeth Karimireddy, Marco Lorenzi, Giovanni Neglia, Marc Tommasi, Mathieu Andreux
2022 J jnl
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings.
CoRR
Jean Ogier du Terrail, Samy-Safwan Ayed, Edwige Cyffers, Felix Grimberg, Chaoyang He, Regis Loeb, Paul Mangold, Tanguy Marchand, Othmane Marfoq, Erum Mushtaq, Boris Muzellec, Constantin Philippenko, Santiago Silva, Maria Telenczuk, Shadi Albarqouni, Salman Avestimehr, Aurélien Bellet, Aymeric Dieuleveut, Martin Jaggi, Sai Praneeth Karimireddy, Marco Lorenzi, Giovanni Neglia, Marc Tommasi, Mathieu Andreux
2022 A* conf
Muffliato: Peer-to-Peer Privacy Amplification for Decentralized Optimization and Averaging.
NeurIPS
Edwige Cyffers, Mathieu Even, Aurélien Bellet, Laurent Massoulié
2022 J jnl
Muffliato: Peer-to-Peer Privacy Amplification for Decentralized Optimization and Averaging.
CoRR
Edwige Cyffers, Mathieu Even, Aurélien Bellet, Laurent Massoulié
2022 A conf
Privacy Amplification by Decentralization.
AISTATS
Edwige Cyffers, Aurélien Bellet
2020 J jnl
Privacy Amplification by Decentralization.
CoRR
Edwige Cyffers, Aurélien Bellet