LLM-QFL: Distilling Large Language Model for Quantum Federated Learning

24 May 2025

Papers citing "LLM-QFL: Distilling Large Language Model for Quantum Federated Learning"

29 / 29 papers shown

Title
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning DeepSeek-AI Daya Guo Dejian Yang Haowei Zhang Junxiao Song ... Shiyu Wang S. Yu Shunfeng Zhou Shuting Pan S.S. Li ReLM VLM OffRL AI4TS LRM 218 1,503 0 22 Jan 2025
FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations Ziyao Wang Zheyu Shen Yexiao He Guoheng Sun Hongyi Wang Lingjuan Lyu Ang Li 56 35 0 09 Sep 2024
FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model Feijie Wu Zitao Li Yaliang Li Bolin Ding Jing Gao 54 51 0 25 Jun 2024
FDLoRA: Personalized Federated Learning of Large Language Model via Dual LoRA Tuning Jiaxing Qi Zhongzhi Luan Shaohan Huang Carol J. Fung Hailong Yang Depei Qian 64 19 0 12 Jun 2024
PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs Charlie Hou Akshat Shrivastava Hongyuan Zhan Rylan Conway Trang Le Adithya Sagar Giulia Fanti Daniel Lazar 75 10 0 05 Jun 2024
Quantum Federated Learning Experiments in the Cloud with Data Encoding Shiva Raj Pokhrel Naman Yash Jonathan Kua Gang Li Lei Pan AI4CE FedML 25 4 0 01 May 2024
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey Zeyu Han Chao Gao Jinyang Liu Jeff Zhang Sai Qian Zhang 189 363 0 21 Mar 2024
OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning Rui Ye Wenhao Wang Jingyi Chai Dihan Li Zexi Li Yinda Xu Yaxin Du Yanfeng Wang Siheng Chen ALM FedML AIFin 44 88 0 10 Feb 2024
NetLLM: Adapting Large Language Models for Networking Duo Wu Xianda Wang Yaqi Qiao Zhi Wang Junchen Jiang Shuguang Cui Fangxin Wang 56 35 0 04 Feb 2024
Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes Zhen Qin Daoyuan Chen Bingchen Qian Bolin Ding Yaliang Li Shuiguang Deng FedML 67 34 0 11 Dec 2023
FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models Jingwei Sun Ziyue Xu Hongxu Yin Dong Yang Daguang Xu Yiran Chen Holger R. Roth VLM 112 24 0 02 Oct 2023
FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning Haokun Chen Yao Zhang Denis Krompass Jindong Gu Volker Tresp FedML 80 44 0 21 Aug 2023
A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design Mahdi Morafah Weijia Wang Bill Lin FedML 63 10 0 28 Jul 2023
A Survey on Multimodal Large Language Models Shukang Yin Chaoyou Fu Sirui Zhao Ke Li Xing Sun Tong Xu Enhong Chen MLLM LRM 75 571 0 23 Jun 2023
LLaMA: Open and Efficient Foundation Language Models Hugo Touvron Thibaut Lavril Gautier Izacard Xavier Martinet Marie-Anne Lachaux ... Faisal Azhar Aurelien Rodriguez Armand Joulin Edouard Grave Guillaume Lample ALM PILM 813 12,840 0 27 Feb 2023
When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning Methods Zhuo Zhang Yuanhang Yang Yong Dai Zhuang Li Zenglin Xu FedML 79 70 0 20 Dec 2022
Slimmable Quantum Federated Learning Won Joon Yun Jae Pyoung Kim Soyi Jung Jihong Park M. Bennis Joongheon Kim 34 31 0 20 Jul 2022
Recovering Private Text in Federated Learning of Language Models Samyak Gupta Yangsibo Huang Zexuan Zhong Tianyu Gao Kai Li Danqi Chen FedML 63 78 0 17 May 2022
FedKD: Communication Efficient Federated Learning via Knowledge Distillation Chuhan Wu Fangzhao Wu Lingjuan Lyu Yongfeng Huang Xing Xie FedML 53 385 0 30 Aug 2021
LoRA: Low-Rank Adaptation of Large Language Models J. E. Hu Yelong Shen Phillip Wallis Zeyuan Allen-Zhu Yuanzhi Li Shean Wang Lu Wang Weizhu Chen OffRL AI4TS AI4CE ALM AIMat 235 10,099 0 17 Jun 2021
QuantumFed: A Federated Learning Framework for Collaborative Quantum Training Qi Xia Qun Li FedML 25 29 0 16 Jun 2021
Quantum Federated Learning with Quantum Data Mahdi Chehimi Walid Saad FedML 52 72 0 30 May 2021
Federated Quantum Machine Learning Samuel Yen-Chi Chen Shinjae Yoo FedML AI4CE 46 119 0 22 Mar 2021
Quantum federated learning through blind quantum computing Weikang Li Sirui Lu D. Deng FedML 73 85 0 15 Mar 2021
Scaling Federated Learning for Fine-tuning of Large Language Models Agrin Hilmkil Sebastian Callh Matteo Barbieri L. R. Sütfeld Edvin Listo Zec Olof Mogren FedML 30 48 0 01 Feb 2021
SemEval-2017 Task 4: Sentiment Analysis in Twitter Sara Rosenthal N. Farra Preslav Nakov VLM 56 795 0 02 Dec 2019
On the Convergence of FedAvg on Non-IID Data Xiang Li Kaixuan Huang Wenhao Yang Shusen Wang Zhihua Zhang FedML 125 2,311 0 04 Jul 2019
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 453 129,831 0 12 Jun 2017
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 241 19,523 0 09 Mar 2015