2 papers
cs.LG2026
Techniques for Peak Memory Reduction for LoRA Fine-tuning of LLMs on Edge Devices
Hassan Dbouk, Matthias Reisser, Prathamesh Mandke +2
Fine-tuning of Large Language Models (LLMs) using Low-Rank Adaptation (LoRA) on an end-user's data offers personalized experiences while keeping data private, but faces severe memo…
cs.CV2025
SubZero: Composing Subject, Style, and Action via Zero-Shot Personalization
Shubhankar Borse, Kartikeya Bhardwaj, Mohammad Reza Karimi Dastjerdi +8
Diffusion models are increasingly popular for generative tasks, including personalized composition of subjects and styles. While diffusion models can generate user-specified subjec…