Ousmane Touat
PhD student (access thesis page)
| Team(s) | DRIM |
| Institution | Centre National de la Recherche Scientifique |
| Location | Blaise Pascal (INSA) |
| ousmane.touat at liris.cnrs.fr | |
| Thesis | Byzantine-resilience and robustness to external adversaries in Decentralized Learning (click to view details) |
Publications (IdHAL : ousmane-touat)
Publications LIRIS pour Ousmane Touat (3)
- 2025 (1)
- Conferences (1)
- International conferences with peer review (1)
- Ousmane Touat, Jezekael Brunon, Yacine Belal, Julien Nicolas, César Sabater, Mohamed Maouche & Sonia Ben Mokhtar (2025). "Exposing the Vulnerability of Decentralized Learning to Membership Inference Attacks Through the Lens of Graph Mixing". MIDDLEWARE '25: Proceedings of the 26th International Middleware Conference, 19 décembre 2025, Nashville, TN (United States of America), pp. 180-194. doi : 10.1145/3721462.3770770. ArXiv : 2412.12837. HAL : hal-04933985.
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- 2024 (1)
- Journals (1)
- International journals with peer review (1)
- Yasmine Djebrouni, Nawel Benarba, Ousmane Touat, Pasquale De Rosa, Sara Bouchenak, Angela Bonifati, Pascal Felber, Vania Marangozova & Valerio Schiavoni (2024). "Bias Mitigation in Federated Learning for Edge Computing". Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, vol. 7, #4, pp. 1-35. doi : 10.1145/3631455. HAL : hal-04394438.
- 2023 (1)
- Conferences (1)
- International conferences with peer review (1)
- Ousmane Touat & Sara Bouchenak (2023). "Towards Robust and Bias-free Federated Learning". 3rd Workshop on Machine Learning and Systems (EuroMLSys '23), 8 mai 2023, Rome (Italy), pp. 49-55. doi : 10.1145/3578356.3592576. HAL : hal-04102260. .
Publications hors LIRIS
Publication hors LIRIS pour Ousmane Touat (1)
- 2023 (1)
- Conferences (1)
- International conferences with peer review (1)
- Ousmane Touat, Julian Stier, Pierre-Edouard Portier & Michael Granitzer (2023). "GRAN Is Superior to GraphRNN: Node Orderings, Kernel- and Graph Embeddings-Based Metrics for Graph Generators". 9th International Conference on machine Learning, Optimization and Data science - LOD 2023, 22 septembre 2023, Grasmere, Lake District, England (United Kingdom), pp. 430-444. doi : 10.1007/978-3-031-53969-5_32. ArXiv : 2307.06709. HAL : hal-04702900. .