2 papers
math.OC2025
Revisiting LocalSGD and SCAFFOLD: Improved Rates and Missing Analysis
Ruichen Luo, Sebastian U Stich, Samuel Horváth +1
LocalSGD and SCAFFOLD are widely used methods in distributed stochastic optimization, with numerous applications in machine learning, large-scale data processing, and federated lea…
cs.CL2025
Knowledge Distillation from Large Language Models for Household Energy Modeling
Mohannad Takrouri, Nicolás M. Cuadrado, Martin Takáč
Machine learning (ML) is increasingly vital for smart-grid research, yet restricted access to realistic, diverse data - often due to privacy concerns - slows progress and fuels dou…