Laguel, Yassine

5 publications

MLJ 2024 Federated Learning with Superquantile Aggregation for Heterogeneous Data Krishna Pillutla, Yassine Laguel, Jérôme Malick, Zaïd Harchaoui

JMLR 2024 High Probability and Risk-Averse Guarantees for a Stochastic Accelerated Primal-Dual Method Yassine Laguel, Necdet Serhat Aybat, Mert Gürbüzbalaban

NeurIPS 2024 High-Probability Complexity Bounds for Stochastic Non-Convex Minimax Optimization Yassine Laguel, Yasa Syed, Necdet Serhat Aybat, Mert Gürbüzbalaban

NeurIPSW 2022 Differentially Private Federated Quantiles with the Distributed Discrete Gaussian Mechanism Krishna Pillutla, Yassine Laguel, Jérôme Malick, Zaid Harchaoui

NeurIPSW 2022 Tackling Distribution Shifts in Federated Learning with Superquantile Aggregation Krishna Pillutla, Yassine Laguel, Jerome Malick, Zaid Harchaoui