2 papers
cs.LG2026
Optimal Transport Aggregation for Distributed Mixture-of-Experts
Faïcel Chamroukhi, Nhat Thien Pham
Mixture-of-experts (MoE) models provide a flexible statistical framework for modeling heterogeneity and nonlinear relationships. In many modern applications, however, datasets are…
cs.LG2025
Federated Dynamic Modeling and Learning for Spatiotemporal Data Forecasting
Thien Pham, Angelo Furno, Faïcel Chamroukhi +1
This paper presents an advanced Federated Learning (FL) framework for forecasting complex spatiotemporal data, improving upon recent state-of-the-art models. In the proposed approa…