Publications

Jules Sintes, Ana Busic (2025). COGNAC: Cooperative Graph-based Networked Agent Challenges for Multi-Agent Reinforcement Learning.

Julien Nicolas, César Sabater, Mohamed Maouche, Mark Coates, Sonia Ben Mokhtar (2025). PriviRec: Confidential and Decentralized Graph Filtering for Recommender Systems. CIKM 2025 - ACM International Conference on Information and Knowledge Management.

Citation DOI URL

Renaud Gaucher, Aymeric Dieuleveut, Hadrien Hendrikx (2025). Unified Breakdown Analysis for Byzantine Robust Gossip. Proceedings of the 42nd International Conference on Machine Learning.

Pierre Jobic, Aurélien Mayoue, Sara Tucci Piergiovanni (2025). Label Leakage in Regression Federated Learning Using Cryptographic Tools. 27th International Symposium on Stabilization, Safety, and Security of Distributed Systems.

Marc Damie, Edwige Cyffers (2025). Fedivertex: A Graph Dataset Based on Decentralized Social Networks for Trustworthy Machine Learning.

Citation DOI URL

César Sabater, Sonia Ben Mokhtar, Jan Ramon (2025). Dropout-Robust Mechanisms for Differentially Private and Fully Decentralized Mean Estimation.

Pierre Jobic, Aurélien Mayoue, Sara Tucci Piergiovanni (2025). Regularizing Gradient Reconstruction Attacks in Federated Averaging.

Justine Cauvi, Laurent Viennot (2025). Parameterized Restless Temporal Path.

Citation DOI URL

Yacine Belal, Mohamed Maouche, Sonia Ben Mokhtar, Anthony Simonet-Boulogne (2025). Inferring Communities of Interest in Collaborative Learning-based Recommender Systems. International Conference on Distributed Computing Systems.

Citation DOI URL

Aymeric Dieuleveut, Gersende Fort, Mahmoud Hegazy, Hoi-to Wai (2025). Federated Majorize-Minimization: Beyond Parameter Aggregation.

Constantin Philippenko, Batiste Le Bars, Kevin Scaman, Laurent Massoulie (2025). Adaptive Collaboration for Online Personalized Distributed Learning with Heterogeneous Clients.

Brandon Alejandro Mosqueda González, Omar Hasan, Lionel Brunie (2025). Mitigation of Sybil-based Poisoning Attacks in Permissionless Decentralized Learning. 2025 IEEE International Conference on Blockchain and Cryptocurrency (ICBC).

Citation DOI URL

Cédric Gouy-Pailler (2025). Contributions à la robustesse, la sécurité et la confidentialité en apprentissage statistique.

Rebecca Clain, Eduardo Fernandes Montesuma, Fred Maurice Ngole Mboula (2025). Decentralized Federated Dataset Dictionary Learning for Multi-Source Domain Adaptation. ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Aleksei Korneev, Jan Ramon (2025). A Survey on Verifiable Cross-Silo Federated Learning.

Constantin Philippenko, Kevin Scaman, Laurent Massoulié (2025). In-Depth Analysis of Low-rank Matrix Factorisation in a Federated Setting. AAAI 2025 - 39th Annual AAAI Conference on Artificial Intelligence.

Julien Nicolas, César Sabater, Mohamed Maouche, Sonia Ben Mokhtar, Mark Coates (2025). Secure Federated Graph-Filtering for Recommender Systems.

Citation DOI URL

Brandon A. Mosqueda González, Omar Hasan, Lionel Brunie (2025). Mitigation of Sybil-based Poisoning Attacks in Permissionless Decentralized Learning.

Yacine Belal, Mohamed Maouche, Sonia Ben Mokhtar, Anthony Simonet-Boulogne (2025). GRANITE : A Byzantine-Resilient Dynamic Gossip Learning Framework.

Feodor Dragan, Guillaume Ducoffe, Michel Habib, Laurent Viennot (2025). Certificates in P and Subquadratic-Time Computation of Radius, Diameter, and All Eccentricities in Graphs. Proceedings of the 2025 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA).

Citation DOI URL

Ousmane Touat, Jezekael Brunon, Yacine Belal, Julien Nicolas, Mohamed Maouche, César Sabater, Sonia Ben Mokhtar (2024). Scrutinizing the Vulnerability of Decentralized Learning to Membership Inference Attacks.

Citation DOI URL

Paul Mangold, Alain Durmus, Aymeric Dieuleveut, Sergey Samsonov, Eric Moulines (2024). Refined Analysis of Federated Averaging's Bias and Federated Richardson-Romberg Extrapolation.

Citation DOI URL

Julien Nicolas, César Sabater, Mohamed Maouche, Sonia Ben Mokhtar, Mark Coates (2024). Differentially Private and Decentralized Randomized Power Method.

Citation DOI URL

Renaud Gaucher, Aymeric Dieuleveut, Hadrien Hendrikx (2024). Achieving Optimal Breakdown for Byzantine Robust Gossip.

Citation DOI URL

Constantin Philippenko, Kevin Scaman, Laurent Massoulié (2024). In-Depth Analysis of Low-rank Matrix Factorisation in a Federated Setting.

Citation DOI URL

Batiste Le Bars, Aurélien Bellet, Marc Tommasi, Kevin Scaman, Giovanni Neglia (2024). Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm. Proceedings of the 41st International Conference on Machine Learning.

Rémi Leluc, Aymeric Dieuleveut, François Portier, Johan Segers, Aigerim Zhuman (2024). Sliced-Wasserstein Estimation with Spherical Harmonics as Control Variates. Proceedings of the 41st International Conference on Machine Learning.

Imane Taibi, Jan Ramon (2024). Honest Fraction Differential Privacy.

Citation DOI URL

Pierre Jobic, Aurélien Mayoue, Sara Tucci Piergiovanni, François Terrier (2024). Extending the Scope of Gradient Reconstruction Attacks in Federated Averaging. Proceedings of the 2024 ACM Workshop on Information Hiding and Multimedia Security.

Citation DOI URL

Renaud Gaucher, Hadrien Hendrikx, Aymeric Dieuleveut (2024). Byzantine-Robust Gossip: Insights from a Dual Approach.

Citation DOI URL

Yann Fraboni, Martin Van Waerebeke, Kevin Scaman, Richard Vidal, Laetitia Kameni, Marco Lorenzi (2024). SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization. Proceedings of The 27th International Conference on Artificial Intelligence and Statistics.

Kevin Scaman, Mathieu Even, Batiste Le Bars, Laurent Massoulie (2024). Minimax Excess Risk of First-Order Methods for Statistical Learning with Data-Dependent Oracles. Proceedings of The 27th International Conference on Artificial Intelligence and Statistics.

Mahmoud Hegazy, Rémi Leluc, Cheuk Ting Li, Aymeric Dieuleveut (2024). Compression with Exact Error Distribution for Federated Learning. Proceedings of The 27th International Conference on Artificial Intelligence and Statistics.

Fabiola Espinoza Castellon, Eduardo Fernandes Montesuma, Fred Maurice Ngole Mboula, Aurélien Mayoue, Antoine Souloumiac, Cedric Gouy-Pailler (2024). Federated Dataset Dictionary Learning for Multi-Source Domain Adaptation. IEEE.

Citation DOI URL

Vitalii Emelianov, Michaël Perrot (2024). On the Impact of Output Perturbation on Fairness in Binary Linear Classification.

Citation DOI URL