3 papers
cs.LG2026
HeteRo-Select: Informativeness as the Participation Driver in Heterogeneous Federated Learning
Md. Akmol Masud, Md Abrar Jahin, Mahmud Hasan
Federated learning systems typically allocate gradient compression by link speed. This is sensible when bandwidth and data informativeness align. However, under non-IID data, these…
stat.ME2026
Penalized KLIC Model Selection for the Generalized Method of Moments in Longitudinal Data with Time-Dependent Covariates
Mahmud Hasan, Mathias Nthiani Muia, Mous-Abou Hamadou +1
Model selection plays an important role in longitudinal data analysis, especially when models are estimated using the generalized method of moments (GMM) in the presence of time-de…
stat.ML2025
Generalization error property of infoGAN for two-layer neural network
Mahmud Hasan, Mathias Muia
Information Maximizing Generative Adversarial Network (infoGAN) can be understood as a minimax problem involving two neural networks: discriminators and generators with mutual info…