Cyffers, Edwige

8 publications

NeurIPS 2025 Setting $\varepsilon$ Is Not the Issue in Differential Privacy Edwige Cyffers

ICML 2024 Differentially Private Decentralized Learning with Random Walks Edwige Cyffers, Aurélien Bellet, Jalaj Upadhyay

NeurIPS 2024 Optimal Classification Under Performative Distribution Shift Edwige Cyffers, Muni Sreenivas Pydi, Jamal Atif, Oliver Cappé

ICML 2024 Privacy Attacks in Decentralized Learning Abdellah El Mrini, Edwige Cyffers, Aurélien Bellet

ICML 2023 From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning Edwige Cyffers, Aurélien Bellet, Debabrota Basu

AISTATS 2022 Privacy Amplification by Decentralization Edwige Cyffers, Aurélien Bellet

NeurIPS 2022 FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings 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 Teleńczuk, Shadi Albarqouni, Salman Avestimehr, Aurélien Bellet, Aymeric Dieuleveut, Martin Jaggi, Sai Praneeth Karimireddy, Marco Lorenzi, Giovanni Neglia, Marc Tommasi, Mathieu Andreux

NeurIPS 2022 Muffliato: Peer-to-Peer Privacy Amplification for Decentralized Optimization and Averaging Edwige Cyffers, Mathieu Even, Aurélien Bellet, Laurent Massoulié