PocketLLM: Enabling On-Device Fine-Tuning for Personalized LLMs

1 July 2024

Papers citing "PocketLLM: Enabling On-Device Fine-Tuning for Personalized LLMs"

4 / 4 papers shown

Title
Scalable Back-Propagation-Free Training of Optical Physics-Informed Neural Networks Yequan Zhao Xinling Yu Xian Xiao Z. Chen Z. Liu G. Kurczveil R. Beausoleil S. Liu Z. Zhang 49 0 0 17 Feb 2025
On-Device Collaborative Language Modeling via a Mixture of Generalists and Specialists Dongyang Fan Bettina Messmer N. Doikov Martin Jaggi MoMe MoE 42 1 0 20 Sep 2024
Smart at what cost? Characterising Mobile Deep Neural Networks in the wild Mario Almeida Stefanos Laskaridis Abhinav Mehrotra L. Dudziak Ilias Leontiadis Nicholas D. Lane HAI 95 44 0 28 Sep 2021
ZeRO-Offload: Democratizing Billion-Scale Model Training Jie Ren Samyam Rajbhandari Reza Yazdani Aminabadi Olatunji Ruwase Shuangyang Yang Minjia Zhang Dong Li Yuxiong He MoE 160 413 0 18 Jan 2021