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20232026
most citedCAMEL: Co-Designing AI Models and Embedded DRAMs for Efficient On-Device Learning

1 citations · 1 across the 6 of their papers we have counts for

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cs.AI2025

FlexQuant: Elastic Quantization Framework for Locally Hosted LLM on Edge Devices

Yuji Chai, Mujin Kwen, Mujin Kwun +2

Deploying LLMs on edge devices presents serious technical challenges. Memory elasticity is crucial for edge devices with unified memory, where memory is shared and fluctuates dynam…