3 papers
cs.AI2026
Large Language Model-Based Automatic Formulation for Stochastic Optimization Models
Amirreza Talebi
This paper presents an integrated systematic study of the performance of large language models (LLMs), specifically ChatGPT, for automatically formulating and solving Stochastic Op…
econ.GN2026
Simulation in discrete choice models evaluation: SDCM, a simulation tool for performance evaluation of DCMs
Amirreza Talebi
Discrete choice models (DCMs) have been widely utilized in various scientific fields, especially economics, for many years. These models consider a stochastic environment influenci…
cs.LG2025
FSL-SAGE: Accelerating Federated Split Learning via Smashed Activation Gradient Estimation
Srijith Nair, Michael Lin, Peizhong Ju +3
Collaborative training methods like Federated Learning (FL) and Split Learning (SL) enable distributed machine learning without sharing raw data. However, FL assumes clients can tr…