Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of
Large Language Models

Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of Large Language Models

9 April 2024

Yuguang Fang

Papers citing "Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of Large Language Models"

13 / 13 papers shown

Title
HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models Zheng Lin Yuxin Zhang Zhe Chen Zihan Fang Xianhao Chen Praneeth Vepakomma Wei Ni Jun-Jie Luo Yue Gao MoE 30 0 0 05 May 2025
Rethinking Membership Inference Attacks Against Transfer Learning Cong Wu Jing Chen Qianru Fang Kun He Ziming Zhao Hao Ren Guowen Xu Yang Liu Yang Xiang 45 25 0 20 Jan 2025
Secure Resource Allocation via Constrained Deep Reinforcement Learning Jianfei Sun Qiang Gao Cong Wu Yuxian Li Jiacheng Wang Dusit Niyato 49 0 0 20 Jan 2025
AgentsCoMerge: Large Language Model Empowered Collaborative Decision Making for Ramp Merging Senkang Hu Zhengru Fang Zihan Fang Yiqin Deng Xianhao Chen Yuguang Fang Sam Kwong 40 12 0 07 Aug 2024
Mobile Edge Intelligence for Large Language Models: A Contemporary Survey Guanqiao Qu Qiyuan Chen Wei Wei Zheng Lin Xianhao Chen Kaibin Huang 27 37 0 09 Jul 2024
SATSense: Multi-Satellite Collaborative Framework for Spectrum Sensing Haoxuan Yuan Zhe Chen Zheng Lin Jinbo Peng Zihan Fang Yuhang Zhong Zihang Song Yue Gao 16 12 0 24 May 2024
CaraServe: CPU-Assisted and Rank-Aware LoRA Serving for Generative LLM Inference Suyi Li Hanfeng Lu Tianyuan Wu Minchen Yu Qizhen Weng Xusheng Chen Yizhou Shan Binhang Yuan Wei Wang 40 11 0 20 Jan 2024
Federated Prompting and Chain-of-Thought Reasoning for Improving LLMs Answering Xiangyang Liu Tianqi Pang Chenyou Fan FedML LRM 31 23 0 27 Apr 2023
MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation Alexandros Karargyris Renato Umeton Micah J. Sheller Alejandro Aristizabal Johnu George ... Poonam Yadav Michael Rosenthal M. Loda Jason M. Johnson Peter Mattson FedML 42 71 0 29 Sep 2021
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout Samuel Horváth Stefanos Laskaridis Mario Almeida Ilias Leondiadis Stylianos I. Venieris Nicholas D. Lane 162 206 0 26 Feb 2021
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation Su Wang Mengyuan Lee Seyyedali Hosseinalipour Roberto Morabito M. Chiang Christopher G. Brinton FedML 62 108 0 04 Jan 2021
Straggler-Resilient Federated Learning: Leveraging the Interplay Between Statistical Accuracy and System Heterogeneity Amirhossein Reisizadeh Isidoros Tziotis Hamed Hassani Aryan Mokhtari Ramtin Pedarsani FedML 151 80 0 28 Dec 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 220 3,054 0 23 Jan 2020