Othmane Marfoq - Publications

2025

Francesco Diana, Othmane Marfoq, Chuan Xu, Giovanni Neglia, Frédéric Giroire, Eoin Thomas, Attribute Inference Attacks for Federated Regression Tasks, Proceedings of the AAAI Conference on Artificial Intelligence, 2025.
[Paper]

Younes Ben Mazziane, Othmane Marfoq, Count-Min Sketch with Conservative Updates: Worst-Case Analysis, arXiv preprint arXiv:2405.12034, 2024.
[Preprint]
Caelin Kaplan, Chuan Xu, Othmane Marfoq, Giovanni Neglia, Anderson Santana de Oliveira, A Cautionary Tale: On the Role of Reference Data in Empirical Privacy Defenses, Proceedings on Privacy Enhancing Technologies, 2024.
[Paper]
Angelo Rodio, Francescomaria Faticanti, Othmane Marfoq, Giovanni Neglia, Emilio Leonardi, Federated Learning Under Heterogeneous and Correlated Client Availability, IEEE/ACM Transactions on Networking, 2024.
[DOI]

Othmane Marfoq, Giovanni Neglia, Laetitia Kameni, Richard Vidal, Federated Learning for Data Streams, Proceedings of The 26th International Conference on Artificial Intelligence and Statistics (AISTATS), 2023.
[Proceedings] [Preprint] [Code]
Angelo Rodio, Francescomaria Faticanti, Othmane Marfoq, Giovanni Neglia, Emilio Leonardi, Federated Learning under Heterogeneous and Correlated Client Availability, IEEE INFOCOM 2023.
[DOI] [Preprint] [Code]
Othmane Marfoq, Tackling heterogeneity in federated learning systems, PhD Thesis, Université Côte d'Azur, 2023.

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, FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings, NeurIPS 2022 Track on Datasets and Benchmarks.
[Preprint] [Code]
Othmane Marfoq, Giovanni Neglia, Laetitia Kameni, Richard Vidal, Personalized Federated Learning through Local Memorization, ICML 2022.
[Preprint] [Code] [Proceedings] [Poster]

Othmane Marfoq, Giovanni Neglia, Aurélien Bellet, Laetitia Kameni, Richard Vidal, Federated Multi-Task Learning under a Mixture of Distributions, NeurIPS 2021.
[Preprint] [Code] [Proceedings] [Poster]

Othmane Marfoq, Chuan Xu, Giovanni Neglia, Richard Vidal, Throughput-Optimal Topology Design for Cross-Silo Federated Learning, NeurIPS 2020.
[Preprint] [Code] [Proceedings] [Poster]