Othmane Marfoq

22 papers A* 6A 1Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Elastic Sketch under Random Stationary Streams: Limiting Behavior and Near-Optimal Configuration.
CoRR
Younes Ben Mazziane, Vinay Kumar B. R., Othmane Marfoq
2025 A* conf
Attribute Inference Attacks for Federated Regression Tasks.
AAAI
Francesco Diana, Othmane Marfoq, Chuan Xu, Giovanni Neglia, Frédéric Giroire, Eoin Thomas
2025 — conf
Universal and Tight Bounds on Counting Errors of Count-Min Sketch with Conservative Updates.
SIGMETRICS (Abstracts)
Younes Ben Mazziane, Othmane Marfoq
2025 J jnl
Universal and Tight Bounds on Counting Errors of Count-Min Sketch with Conservative Updates.
Proc. ACM Meas. Anal. Comput. Syst.
Younes Ben Mazziane, Othmane Marfoq
2024 J jnl
A Cautionary Tale: On the Role of Reference Data in Empirical Privacy Defenses.
Proc. Priv. Enhancing Technol.
Caelin Kaplan, Chuan Xu, Othmane Marfoq, Giovanni Neglia, Anderson Santana de Oliveira
2024 J jnl
Attribute Inference Attacks for Federated Regression Tasks.
CoRR
Francesco Diana, Othmane Marfoq, Chuan Xu, Giovanni Neglia, Frédéric Giroire, Eoin Thomas
2024 J jnl
Count-Min Sketch with Conservative Updates: Worst-Case Analysis.
CoRR
Younes Ben Mazziane, Othmane Marfoq
2024 J jnl
Federated Learning Under Heterogeneous and Correlated Client Availability.
IEEE/ACM Trans. Netw.
Angelo Rodio, Francescomaria Faticanti, Othmane Marfoq, Giovanni Neglia, Emilio Leonardi
2023 J jnl
A Cautionary Tale: On the Role of Reference Data in Empirical Privacy Defenses.
CoRR
Caelin G. Kaplan, Chuan Xu, Othmane Marfoq, Giovanni Neglia, Anderson Santana de Oliveira
2023 A conf
Federated Learning for Data Streams.
AISTATS
Othmane Marfoq, Giovanni Neglia, Laetitia Kameni, Richard Vidal
2023 J jnl
Federated Learning for Data Streams.
CoRR
Othmane Marfoq, Giovanni Neglia, Laetitia Kameni, Richard Vidal
2023 A* conf
Federated Learning under Heterogeneous and Correlated Client Availability.
INFOCOM
Angelo Rodio, Francescomaria Faticanti, Othmane Marfoq, Giovanni Neglia, Emilio Leonardi
2023 J jnl
Federated Learning under Heterogeneous and Correlated Client Availability.
CoRR
Angelo Rodio, Francescomaria Faticanti, Othmane Marfoq, Giovanni Neglia, Emilio Leonardi
2023 — —
Tackling heterogeneity in federated learning systems. (Surmonter l'hétérogénéité dans les systèmes d'apprentissage fédéré).
Othmane Marfoq
2022 A* conf
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings.
NeurIPS
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
2022 J jnl
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings.
CoRR
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
2022 A* conf
Personalized Federated Learning through Local Memorization.
ICML
Othmane Marfoq, Giovanni Neglia, Richard Vidal, Laetitia Kameni
2021 A* conf
Federated Multi-Task Learning under a Mixture of Distributions.
NeurIPS
Othmane Marfoq, Giovanni Neglia, Aurélien Bellet, Laetitia Kameni, Richard Vidal
2021 J jnl
Federated Multi-Task Learning under a Mixture of Distributions.
CoRR
Othmane Marfoq, Giovanni Neglia, Aurélien Bellet, Laetitia Kameni, Richard Vidal
2021 J jnl
Personalized Federated Learning through Local Memorization.
CoRR
Othmane Marfoq, Giovanni Neglia, Laetitia Kameni, Richard Vidal
2020 A* conf
Throughput-Optimal Topology Design for Cross-Silo Federated Learning.
NeurIPS
Othmane Marfoq, Chuan Xu, Giovanni Neglia, Richard Vidal
2020 J jnl
Throughput-Optimal Topology Design for Cross-Silo Federated Learning.
CoRR
Othmane Marfoq, Chuan Xu, Giovanni Neglia, Richard Vidal