1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.AI2025★ 1 cited
Scaling Laws for Energy Efficiency of Local LLMs
Ander Alvarez, Alessandro Genuardi, Nilotpal Sinha +6
Deploying local large language models and vision-language models on edge devices requires balancing accuracy with constrained computational and energy budgets. Although graphics pr…
cs.LG2025
Globally optimized SVD compression of LLMs via Fermi-function-based rank selection and gauge fixing
Roman Rausch, David Jansen, Sukhbinder Singh +1
Large Language Models (LLMs) are very demanding in terms of their computational resources. Low-rank decompositions of LLM weights, e.g. via Singular Value Decomposition (SVD), is a…