Collaborative learning in the jungle (decentralized, byzantine, heterogeneous, asynchronous and nonconvex learning) EM El-Mhamdi, S Farhadkhani, R Guerraoui, A Guirguis, LN Hoang, ... Advances in neural information processing systems 34, 25044-25057, 2021 | 58 | 2021 |
Genuinely distributed byzantine machine learning EM El-Mhamdi, R Guerraoui, A Guirguis, LN Hoang, S Rouault Proceedings of the 39th Symposium on Principles of Distributed Computing …, 2020 | 43 | 2020 |
An equivalence between data poisoning and byzantine gradient attacks S Farhadkhani, R Guerraoui, O Villemaud International Conference on Machine Learning, 6284-6323, 2022 | 22 | 2022 |
On the strategyproofness of the geometric median EM El-Mhamdi, S Farhadkhani, R Guerraoui, LN Hoang International Conference on Artificial Intelligence and Statistics, 2603-2640, 2023 | 18 | 2023 |
A fast and accurate algorithm for stochastic integer programming, applied to stochastic shift scheduling R Pacqueau, F Soumis, LN Hoang Groupe d'études et de recherche en analyse des décisions, 2012 | 17 | 2012 |
On the impossible safety of large AI models EM El-Mhamdi, S Farhadkhani, R Guerraoui, N Gupta, LN Hoang, R Pinot, ... arXiv preprint arXiv:2209.15259, 2022 | 15 | 2022 |
Strategy-proofness of the randomized Condorcet voting system LN Hoang Social Choice and Welfare 48 (3), 679-701, 2017 | 14 | 2017 |
Robust collaborative learning with linear gradient overhead S Farhadkhani, R Guerraoui, N Gupta, LN Hoang, R Pinot, J Stephan International Conference on Machine Learning, 9761-9813, 2023 | 12 | 2023 |
Tournesol: A quest for a large, secure and trustworthy database of reliable human judgments LN Hoang, L Faucon, A Jungo, S Volodin, D Papuc, O Liossatos, B Crulis, ... arXiv preprint arXiv:2107.07334, 2021 | 12 | 2021 |
Science communication desperately needs more aligned recommendation algorithms LN Hoang Frontiers in Communication 5, 598454, 2020 | 11 | 2020 |
Collaborative learning as an agreement problem EM El-Mhamdi, R Guerraoui, A Guirguis, LN Hoang, S Rouault arXiv preprint arXiv:2008.00742, 2020 | 11 | 2020 |
Le fabuleux chantier: Rendre l’intelligence artificielle robustement bénéfique LN Hoang, EL El Mahdi EDP Sciences, 2019 | 8 | 2019 |
Measuring unfairness feeling in allocation problems LN Hoang, F Soumis, G Zaccour Omega 65, 138-147, 2016 | 8 | 2016 |
Recommendation Algorithms, a Neglected Opportunity for Public Health LN Hoang, L Faucon, EM El-Mhamdi Revue Médecine et Philosophie 4 (2), 16--24, 2021 | 7* | 2021 |
Sok: On the impossible security of very large foundation models EM El-Mhamdi, S Farhadkhani, R Guerraoui, N Gupta, LN Hoang, R Pinot, ... Preprint at arXiv [cs. LG], 2022 | 6 | 2022 |
Deep learning works in practice. But does it work in theory? LN Hoang, R Guerraoui arXiv preprint arXiv:1801.10437, 2018 | 6 | 2018 |
Robust sparse voting Y Allouah, R Guerraoui, LN Hoang, O Villemaud International Conference on Artificial Intelligence and Statistics, 991-999, 2024 | 5 | 2024 |
Strategyproof learning: Building trustworthy user-generated datasets S Farhadkhani, R Guerraoui, LN Hoang arXiv preprint arXiv:2106.02398, 2021 | 5 | 2021 |
The return function: A new computable perspective on Bayesian–Nash equilibria LN Hoang, F Soumis, G Zaccour European Journal of Operational Research 279 (2), 471-485, 2019 | 3 | 2019 |
Tournesol: Permissionless collaborative algorithmic governance with security guarantees LN Hoang, R Beylerian, B Colbois, J Fageot, L Faucon, A Jungo, ... arXiv preprint arXiv:2211.01179, 2022 | 2 | 2022 |