Othmane Marfoq

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 16

Top Topics

Greedy Heuristic

Learning Problems

Worst Case Analysis

Top Venues

IEEE/ACM Trans. Netw.

Publications

Younes Ben Mazziane, Othmane Marfoq
Count-Min Sketch with Conservative Updates: Worst-Case Analysis. CoRR (2024)
Angelo Rodio, Francescomaria Faticanti, Othmane Marfoq, Giovanni Neglia, Emilio Leonardi
Federated Learning Under Heterogeneous and Correlated Client Availability. IEEE/ACM Trans. Netw. 32 (2) (2024)
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. Proc. Priv. Enhancing Technol. 2024 (1) (2024)
Othmane Marfoq, Giovanni Neglia, Laetitia Kameni, Richard Vidal
Federated Learning for Data Streams. CoRR (2023)
Angelo Rodio, Francescomaria Faticanti, Othmane Marfoq, Giovanni Neglia, Emilio Leonardi
Federated Learning under Heterogeneous and Correlated Client Availability. INFOCOM (2023)
Othmane Marfoq, Giovanni Neglia, Laetitia Kameni, Richard Vidal
Federated Learning for Data Streams. AISTATS (2023)
Angelo Rodio, Francescomaria Faticanti, Othmane Marfoq, Giovanni Neglia, Emilio Leonardi
Federated Learning under Heterogeneous and Correlated Client Availability. CoRR (2023)
Caelin G. Kaplan, Chuan Xu, Othmane Marfoq, Giovanni Neglia, Anderson Santana de Oliveira
A Cautionary Tale: On the Role of Reference Data in Empirical Privacy Defenses. CoRR (2023)
Othmane Marfoq, Giovanni Neglia, Richard Vidal, Laetitia Kameni
Personalized Federated Learning through Local Memorization. ICML (2022)
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 S. Silva R., 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 (2022)
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)
Othmane Marfoq, Giovanni Neglia, Aurélien Bellet, Laetitia Kameni, Richard Vidal
Federated Multi-Task Learning under a Mixture of Distributions. NeurIPS (2021)
Othmane Marfoq, Giovanni Neglia, Aurélien Bellet, Laetitia Kameni, Richard Vidal
Federated Multi-Task Learning under a Mixture of Distributions. CoRR (2021)
Othmane Marfoq, Giovanni Neglia, Laetitia Kameni, Richard Vidal
Personalized Federated Learning through Local Memorization. CoRR (2021)
Othmane Marfoq, Chuan Xu, Giovanni Neglia, Richard Vidal
Throughput-Optimal Topology Design for Cross-Silo Federated Learning. NeurIPS (2020)
Othmane Marfoq, Chuan Xu, Giovanni Neglia, Richard Vidal
Throughput-Optimal Topology Design for Cross-Silo Federated Learning. CoRR (2020)