Title
Mobile Edge Intelligence for Large Language Models: A Contemporary Survey Guanqiao Qu Qiyuan Chen Wei Wei Zheng Lin Xianhao Chen Kaibin Huang 196 56 0 09 Jul 2024
SplitLoRA: A Split Parameter-Efficient Fine-Tuning Framework for Large Language Models Zheng Lin Xuanjie Hu Yuxin Zhang Zhe Chen Zihan Fang Xianhao Chen Ang Li Praneeth Vepakomma Yue Gao 96 37 0 01 Jul 2024
FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model Feijie Wu Zitao Li Yaliang Li Bolin Ding Jing Gao 117 55 0 25 Jun 2024
Synergizing Foundation Models and Federated Learning: A Survey Shenghui Li Fanghua Ye Meng Fang Jiaxu Zhao Yun-Hin Chan Edith C. -H. Ngai Thiemo Voigt AI4CE 127 7 0 18 Jun 2024
Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models Rui Ye Jingyi Chai Xiangrui Liu Yaodong Yang Yanfeng Wang Siheng Chen AAML 158 10 0 15 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 98 21 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 118 15 0 05 Jun 2024
Accelerating Heterogeneous Federated Learning with Closed-form Classifiers Eros Fani Raffaello Camoriano Barbara Caputo Marco Ciccone 88 4 0 03 Jun 2024
DAGER: Exact Gradient Inversion for Large Language Models Ivo Petrov Dimitar I. Dimitrov Maximilian Baader Mark Niklas Muller Martin Vechev FedML 101 5 0 24 May 2024
Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting Qingxiang Liu Xu Liu Chenghao Liu Qingsong Wen Yuxuan Liang AI4TS AI4CE 111 11 0 23 May 2024
The Future of Large Language Model Pre-training is Federated Lorenzo Sani Alexandru Iacob Zeyu Cao Bill Marino Yan Gao ... Wanru Zhao William F. Shen Preslav Aleksandrov Xinchi Qiu Nicholas D. Lane AI4CE 163 21 0 17 May 2024
From Sora What We Can See: A Survey of Text-to-Video Generation Rui Sun Yumin Zhang Tejal Shah Jiahao Sun Shuoying Zhang Wenqi Li Haoran Duan Bo Wei R. Ranjan EGVM 136 20 0 17 May 2024
FL-TAC: Enhanced Fine-Tuning in Federated Learning via Low-Rank, Task-Specific Adapter Clustering Siqi Ping Yuzhu Mao Yang Liu Xiao-Ping Zhang Wenbo Ding FedML 83 4 0 23 Apr 2024
Advances and Open Challenges in Federated Learning with Foundation Models Chao Ren Han Yu Hongyi Peng Xiaoli Tang Anran Li ... A. Tan Bo Zhao Xiaoxiao Li Zengxiang Li Qiang Yang FedML AIFin AI4CE 156 11 0 23 Apr 2024
Personalized Wireless Federated Learning for Large Language Models Feibo Jiang Li Dong Siwei Tu Yubo Peng Kezhi Wang Kun Yang Cunhua Pan Dusit Niyato 104 13 0 20 Apr 2024
FedEval-LLM: Federated Evaluation of Large Language Models on Downstream Tasks with Collective Wisdom Yuanqin He Yan Kang Lixin Fan Qiang Yang 62 3 0 18 Apr 2024
Personalized Collaborative Fine-Tuning for On-Device Large Language Models Nicolas Wagner Dongyang Fan Martin Jaggi 104 4 0 15 Apr 2024
Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline Anas Al-Lahham Muhammad Zaigham Zaheer Nurbek Tastan Karthik Nandakumar 73 9 0 01 Apr 2024
Dual-Personalizing Adapter for Federated Foundation Models Yiyuan Yang Guodong Long Taoshu Shen Jing Jiang Michael Blumenstein 135 27 0 28 Mar 2024
On Protecting the Data Privacy of Large Language Models (LLMs): A Survey Biwei Yan Kun Li Minghui Xu Yueyan Dong Yue Zhang Zhaochun Ren Xiuzhen Cheng AILaw PILM 154 88 0 08 Mar 2024
Personalized Federated Instruction Tuning via Neural Architecture Search Peng Zhang Yingbo Zhou Ming Hu Junxian Feng Jiawen Weng Mingsong Chen FedML 79 5 0 26 Feb 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 106 98 0 10 Feb 2024
On the Convergence of Zeroth-Order Federated Tuning for Large Language Models Zhenqing Ling Daoyuan Chen Liuyi Yao Yaliang Li Ying Shen FedML 116 17 0 08 Feb 2024
A Fast, Performant, Secure Distributed Training Framework For Large Language Model Wei Huang Yinggui Wang Anda Cheng Aihui Zhou Chaofan Yu Lei Wang ALM 47 13 0 18 Jan 2024
FedMS: Federated Learning with Mixture of Sparsely Activated Foundations Models Panlong Wu Kangshuo Li Ting Wang Fangxin Wang FedML MoE 91 4 0 26 Dec 2023
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 113 39 0 11 Dec 2023
Grounding Foundation Models through Federated Transfer Learning: A General Framework Yan Kang Tao Fan Hanlin Gu Xiaojin Zhang Lixin Fan Qiang Yang AI4CE 195 19 0 29 Nov 2023
FedPEAT: Convergence of Federated Learning, Parameter-Efficient Fine Tuning, and Emulator Assisted Tuning for Artificial Intelligence Foundation Models with Mobile Edge Computing Terence Jie Chua Wen-li Yu Junfeng Zhao Kwok-Yan Lam FedML 64 5 0 26 Oct 2023
Profit: Benchmarking Personalization and Robustness Trade-off in Federated Prompt Tuning Liam Collins Shanshan Wu Sewoong Oh K. Sim FedML 96 10 0 06 Oct 2023
Federated Fine-Tuning of LLMs on the Very Edge: The Good, the Bad, the Ugly Herbert Woisetschläger Alexander Erben Shiqiang Wang R. Mayer Hans-Arno Jacobsen FedML 91 21 0 04 Oct 2023
Efficient Federated Prompt Tuning for Black-box Large Pre-trained Models Zihao Lin Yan Sun Yifan Shi Xueqian Wang Lifu Huang Li Shen Dacheng Tao 98 12 0 04 Oct 2023
Building Privacy-Preserving and Secure Geospatial Artificial Intelligence Foundation Models Jinmeng Rao Song Gao Gengchen Mai Joanna M. Wardlaw 84 22 0 29 Sep 2023
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications Yi Zhang Yuying Zhao Zhaoqing Li Xueqi Cheng Yu Wang Olivera Kotevska Philip S. Yu Hanyu Wang 130 13 0 31 Aug 2023
CEFHRI: A Communication Efficient Federated Learning Framework for Recognizing Industrial Human-Robot Interaction Umar Khalid Hasan Iqbal Saeed Vahidian Jing Hua Chong Chen 67 3 0 29 Aug 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 124 55 0 21 Aug 2023
Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning Zachary B. Charles Nicole Mitchell Krishna Pillutla Michael Reneer Zachary Garrett FedML AI4CE 89 31 0 18 Jul 2023
Instruction Tuned Models are Quick Learners Himanshu Gupta Saurabh Arjun Sawant Swaroop Mishra Mutsumi Nakamura Arindam Mitra Santosh Mashetty Chitta Baral 85 26 0 17 May 2023
When Do Curricula Work in Federated Learning? Saeed Vahidian Sreevatsank Kadaveru Woo-Ram Baek Weijia Wang Vyacheslav Kungurtsev Chong Chen M. Shah Bill Lin FedML 95 11 0 24 Dec 2022
Decentralized digital twins of complex dynamical systems Omer San Suraj Pawar Adil Rasheed AI4CE 95 11 0 07 Jul 2022