Mohammad Partohaghighi

CoRR, May, 2026

Fractional-Order Federated Learning.

[BibT_eX]

[DOI]

CoRR, February, 2026

Fractional Order Federated Learning for Battery Electric Vehicle Energy Consumption Modeling.

[BibT_eX]

[DOI]

CoRR, February, 2026

Roughness-Informed Federated Learning.

[BibT_eX]

[DOI]

CoRR, February, 2026

When Gradient Clipping Becomes a Control Mechanism for Differential Privacy in Deep Learning.

[BibT_eX]

[DOI]

CoRR, February, 2026

Statistical Roughness-Informed Machine Unlearning.

[BibT_eX]

[DOI]

CoRR, February, 2026

Roughness-informed differential privacy.

[BibT_eX]

[DOI]

Yangquan Chen

Expert Syst. Appl., 2026

2025

More Optimal Fractional-Order Stochastic Gradient Descent for Non-Convex Optimization Problems.

[BibT_eX]

[DOI]

CoRR, May, 2025

Effective Dimension Aware Fractional-Order Stochastic Gradient Descent for Convex Optimization Problems.

[BibT_eX]

[DOI]

CoRR, March, 2025

2024

A robust numerical scheme for solving Riesz-tempered fractional reaction-diffusion equations.

[BibT_eX]

[DOI]

Emmanuel Asante-Asamani

Olaniyi Samuel Iyiola

J. Comput. Appl. Math., 2024

2023

Analysis of the Fractional Differential Equations Using Two Different Methods.

[BibT_eX]

[DOI]

Symmetry, 2023

2022

Novel Mathematical Modelling of Platelet-Poor Plasma Arising in a Blood Coagulation System with the Fractional Caputo-Fabrizio Derivative.

[BibT_eX]

[DOI]