Yassine Laguel

Orcid: 0000-0001-6289-9590

According to our database1, Yassine Laguel authored at least 10 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Chance-constrained programs with convex underlying functions: a bilevel convex optimization perspective.
Comput. Optim. Appl., July, 2024

Federated learning with superquantile aggregation for heterogeneous data.
Mach. Learn., May, 2024

2023
Push-Pull With Device Sampling.
IEEE Trans. Autom. Control., December, 2023

2022
Superquantile-Based Learning: A Direct Approach Using Gradient-Based Optimization.
J. Signal Process. Syst., 2022

2021
Convex optimization for risk-sensitive learning. (Optimisation convexe pour l'apprentissage robuste au risque).
PhD thesis, 2021

Federated Learning with Heterogeneous Data: A Superquantile Optimization Approach.
CoRR, 2021

A Superquantile Approach to Federated Learning with Heterogeneous Devices.
Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021

2020
Device Heterogeneity in Federated Learning: A Superquantile Approach.
CoRR, 2020

Randomized Progressive Hedging methods for multi-stage stochastic programming.
Ann. Oper. Res., 2020

First-Order Optimization for Superquantile-Based Supervised Learning.
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020


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