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cs.LG2026
Advancing Model Refinement: Muon-Optimized Distillation and Quantization for LLM Deployment
Jacob Sander, Brian Jalaian, Venkat R. Dasari
Large Language Models (LLMs) enable advanced natural language processing but face deployment challenges on resource-constrained edge devices due to high computational, memory, and…
cs.LG2025
Constrained Edge AI Deployment: Fine-Tuning vs Distillation for LLM Compression
Jacob Sander, David Moe, Achraf Cohen +3
Modern foundational models are often compressed via a combination of structured pruning and re-training to meet the strict compute, memory, and connectivity constraints of edge dep…