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2020 – today
- 2024
[c6]Edwige Cyffers, Aurélien Bellet, Jalaj Upadhyay:
Differentially Private Decentralized Learning with Random Walks. ICML 2024- [c5]Abdellah El Mrini, Edwige Cyffers, Aurélien Bellet:
Privacy Attacks in Decentralized Learning. ICML 2024 - [i7]Edwige Cyffers, Aurélien Bellet, Jalaj Upadhyay:
Differentially Private Decentralized Learning with Random Walks. CoRR abs/2402.07471 (2024) - [i6]Abdellah El Mrini, Edwige Cyffers, Aurélien Bellet:
Privacy Attacks in Decentralized Learning. CoRR abs/2402.10001 (2024) - [i5]Edwige Cyffers, Muni Sreenivas Pydi, Jamal Atif, Olivier Cappé:
Optimal Classification under Performative Distribution Shift. CoRR abs/2411.02023 (2024) - 2023
- [c4]Edwige Cyffers, Aurélien Bellet, Debabrota Basu:
From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning. ICML 2023: 6683-6711 - [i4]Edwige Cyffers, Aurélien Bellet, Debabrota Basu:
From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning. CoRR abs/2302.12559 (2023) - 2022
- [c3]Edwige Cyffers, Aurélien Bellet:
Privacy Amplification by Decentralization. AISTATS 2022: 5334-5353 - [c2]Edwige Cyffers, Mathieu Even, Aurélien Bellet, Laurent Massoulié:
Muffliato: Peer-to-Peer Privacy Amplification for Decentralized Optimization and Averaging. NeurIPS 2022 - [c1]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:
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings. NeurIPS 2022 - [i3]Edwige Cyffers, Mathieu Even, Aurélien Bellet, Laurent Massoulié:
Muffliato: Peer-to-Peer Privacy Amplification for Decentralized Optimization and Averaging. CoRR abs/2206.05091 (2022) - [i2]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:
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings. CoRR abs/2210.04620 (2022) - 2020
- [i1]Edwige Cyffers, Aurélien Bellet:
Privacy Amplification by Decentralization. CoRR abs/2012.05326 (2020)
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