Othmane Marfoq

According to our database, Othmane Marfoq authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Federated Learning Under Heterogeneous and Correlated Client Availability.

Angelo Rodio, Francescomaria Faticanti, Othmane Marfoq, Giovanni Neglia, Emilio Leonardi

IEEE/ACM Trans. Netw., April, 2024

A Cautionary Tale: On the Role of Reference Data in Empirical Privacy Defenses.

Caelin Kaplan, Chuan Xu, Othmane Marfoq, Giovanni Neglia, Anderson Santana de Oliveira

Proc. Priv. Enhancing Technol., January, 2024

Count-Min Sketch with Conservative Updates: Worst-Case Analysis.

Younes Ben Mazziane, Othmane Marfoq

CoRR, 2024

2023

Tackling heterogeneity in federated learning systems. (Surmonter l'hétérogénéité dans les systèmes d'apprentissage fédéré).

Othmane Marfoq

PhD thesis, 2023

Federated Learning for Data Streams.

Othmane Marfoq, Giovanni Neglia, Laetitia Kameni, Richard Vidal

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

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 Telenczuk, Shadi Albarqouni, Salman Avestimehr, Aurélien Bellet, Aymeric Dieuleveut, Martin Jaggi, Sai Praneeth Karimireddy, Marco Lorenzi, Giovanni Neglia, Marc Tommasi, Mathieu Andreux

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Personalized Federated Learning through Local Memorization.

Othmane Marfoq, Giovanni Neglia, Richard Vidal, Laetitia Kameni

Proceedings of the International Conference on Machine Learning, 2022

2021

Federated Multi-Task Learning under a Mixture of Distributions.

Othmane Marfoq, Giovanni Neglia, Aurélien Bellet, Laetitia Kameni, Richard Vidal

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Throughput-Optimal Topology Design for Cross-Silo Federated Learning.

Othmane Marfoq, Chuan Xu, Giovanni Neglia, Richard Vidal

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020