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FedPrompt: Communication-Efficient and Privacy Preserving Prompt Tuning in Federated Learning

25 August 2022

Papers citing "FedPrompt: Communication-Efficient and Privacy Preserving Prompt Tuning in Federated Learning"

43 / 43 papers shown

Title
FedOne: Query-Efficient Federated Learning for Black-box Discrete Prompt Learning Ganyu Wang Jinjie Fang Maxwell J. Ying Bin Gu Xi Chen Boyu Wang Charles Ling FedML 24 0 0 17 Jun 2025
Fed-HeLLo: Efficient Federated Foundation Model Fine-Tuning with Heterogeneous LoRA Allocation Zikai Zhang Ping Liu Jiahao Xu Rui Hu 22 0 0 13 Jun 2025
Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Sizai Hou Songze Li Baturalp Buyukates 58 0 0 28 May 2025
FedRS-Bench: Realistic Federated Learning Datasets and Benchmarks in Remote Sensing Haodong Zhao Peng Peng Chiyu Chen Linqing Huang Gongshen Liu FedML 88 0 0 13 May 2025
Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence Yu Qiao Huy Q. Le Avi Deb Raha Phuong-Nam Tran Apurba Adhikary Mengchun Zhang Loc X. Nguyen Eui-nam Huh Dusit Niyato Choong Seon Hong AI4CE 161 1 0 11 May 2025
A Survey on Parameter-Efficient Fine-Tuning for Foundation Models in Federated Learning Jieming Bian Yuanzhe Peng Lei Wang Yin Huang Jie Xu FedML 117 1 0 29 Apr 2025
Towards Harnessing the Collaborative Power of Large and Small Models for Domain Tasks Yang Liu Bingjie Yan Tianyuan Zou Jianqing Zhang Zixuan Gu ... Jiajian Li Xiaozhou Ye Ye Ouyang Qiang Yang Yanzhe Zhang ALM 458 1 0 24 Apr 2025
FedSCA: Federated Tuning with Similarity-guided Collaborative Aggregation for Heterogeneous Medical Image Segmentation Yumin Zhang Yan Gao Haoran Duan Hanqing Guo Tejal Shah R. Ranjan Bo Wei FedML 116 0 0 19 Mar 2025
A Survey on Federated Fine-tuning of Large Language Models Yebo Wu Chunlin Tian Jingguang Li He Sun Kahou Tam Zhanting Zhou Haicheng Liao Zhijiang Guo Li Li Chengzhong Xu FedML 154 5 0 15 Mar 2025
PriFFT: Privacy-preserving Federated Fine-tuning of Large Language Models via Hybrid Secret Sharing Zhichao You Xuewen Dong Ke Cheng Xutong Mu Jiaxuan Fu Shiyang Ma Qiang Qu Yulong Shen FedML 115 0 0 05 Mar 2025
Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data Pei-Yau Weng Minh Hoang Lam M. Nguyen My T. Thai Tsui-Wei Weng T. Hoang FedML 153 4 0 27 Feb 2025
FedSpaLLM: Federated Pruning of Large Language Models Guangji Bai Yijiang Li Zilinghan Li Liang Zhao Kibaek Kim FedML 138 6 0 20 Feb 2025
Decentralized Low-Rank Fine-Tuning of Large Language Models Sajjad Ghiasvand Mahnoosh Alizadeh Ramtin Pedarsani ALM 152 2 0 26 Jan 2025
Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Models Sajjad Ghiasvand Yifan Yang Zhiyu Xue Mahnoosh Alizadeh Zheng Zhang Ramtin Pedarsani FedML 168 5 0 16 Oct 2024
FedPT: Federated Proxy-Tuning of Large Language Models on Resource-Constrained Edge Devices Zhidong Gao Yu Zhang Zhenxiao Zhang Yanmin Gong Yuanxiong Guo 64 1 0 01 Oct 2024
Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models Ji Liu Jiaxiang Ren Ruoming Jin Zijie Zhang Yang Zhou P. Valduriez Dejing Dou FedML 91 6 0 30 Sep 2024
Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method Bikang Pan Wei Huang Ye-ling Shi FedML VLM 107 8 0 29 Sep 2024
A Historical Trajectory Assisted Optimization Method for Zeroth-Order Federated Learning Chenlin Wu Xiaoyu He Zike Li Zibin Zheng Zibin Zheng FedML 169 0 0 24 Sep 2024
Federated Large Language Models: Current Progress and Future Directions Yuhang Yao Jianyi Zhang Junda Wu Chengkai Huang Yu Xia ... Ang Li Lina Yao Julian McAuley Yiran Chen Carlee Joe-Wong FedML AIFin 129 12 0 24 Sep 2024
Noise-Robust and Resource-Efficient ADMM-based Federated Learning Ehsan Lari Reza Arablouei Vinay Chakravarthi Gogineni Stefan Werner FedML 115 1 0 20 Sep 2024
Leveraging Foundation Models for Efficient Federated Learning in Resource-restricted Edge Networks S. K. Atapour S. J. Seyedmohammadi S. Mohammad Sheikholeslami J. Abouei Konstantinos N. Plataniotis Arash Mohammadi FedML 84 2 0 14 Sep 2024
SFPrompt: Communication-Efficient Split Federated Fine-Tuning for Large Pre-Trained Models over Resource-Limited Devices Linxiao Cao Yifei Zhu Wei Gong FedML 60 4 0 24 Jul 2024
Save It All: Enabling Full Parameter Tuning for Federated Large Language Models via Cycle Block Gradient Descent Lin Wang Zhichao Wang Xiaoying Tang 75 1 0 17 Jun 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 161 21 0 17 May 2024
Open Challenges and Opportunities in Federated Foundation Models Towards Biomedical Healthcare Xingyu Li Lu Peng Yuping Wang Weihua Zhang AI4CE MedIm LM&MA 114 12 0 10 May 2024
DP-DyLoRA: Fine-Tuning Transformer-Based Models On-Device under Differentially Private Federated Learning using Dynamic Low-Rank Adaptation Jie Xu Karthikeyan P. Saravanan Rogier van Dalen Haaris Mehmood David Tuckey Mete Ozay 171 8 0 10 May 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 150 11 0 23 Apr 2024
FedRDMA: Communication-Efficient Cross-Silo Federated LLM via Chunked RDMA Transmission Zeling Zhang Dongqi Cai Yiran Zhang Mengwei Xu Shangguang Wang Ao Zhou 72 5 0 01 Mar 2024
Federated Learning Priorities Under the European Union Artificial Intelligence Act Herbert Woisetschläger Alexander Erben Bill Marino Shiqiang Wang Nicholas D. Lane R. Mayer Hans-Arno Jacobsen 74 15 0 05 Feb 2024
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models Weijiao Zhang Jindong Han Zhao Xu Hang Ni Hao Liu Hui Xiong Hui Xiong AI4CE 248 18 0 30 Jan 2024
A Survey on Efficient Federated Learning Methods for Foundation Model Training Herbert Woisetschläger Alexander Isenko Shiqiang Wang R. Mayer Hans-Arno Jacobsen FedML 113 26 0 09 Jan 2024
Grounding Foundation Models through Federated Transfer Learning: A General Framework Yan Kang Tao Fan Hanlin Gu Xiaojin Zhang Lixin Fan Qiang Yang AI4CE 167 19 0 29 Nov 2023
Leveraging Foundation Models to Improve Lightweight Clients in Federated Learning Xidong Wu Wan-Yi Lin Devin Willmott Filipe Condessa Yufei Huang Zhenzhen Li Madan Ravi Ganesh FedML 68 4 0 14 Nov 2023
Tunable Soft Prompts are Messengers in Federated Learning Chenhe Dong Yuexiang Xie Bolin Ding Ying Shen Yaliang Li FedML 84 8 0 12 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 47 5 0 26 Oct 2023
Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization Tianshi Che Ji Liu Yang Zhou Jiaxiang Ren Jiwen Zhou Victor S. Sheng H. Dai Dejing Dou 90 56 0 23 Oct 2023
ZooPFL: Exploring Black-box Foundation Models for Personalized Federated Learning Wang Lu Hao Yu Jindong Wang Damien Teney Haohan Wang Yiqiang Chen Qiang Yang Xing Xie Xiangyang Ji 97 8 0 08 Oct 2023
Profit: Benchmarking Personalization and Robustness Trade-off in Federated Prompt Tuning Liam Collins Shanshan Wu Sewoong Oh K. Sim FedML 94 10 0 06 Oct 2023
Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation Chen Dun Mirian Hipolito Garcia Guoqing Zheng Ahmed Hassan Awadallah Anastasios Kyrillidis Robert Sim 212 6 0 04 Oct 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 144 26 0 02 Oct 2023
FwdLLM: Efficient FedLLM using Forward Gradient Mengwei Xu Dongqi Cai Yaozong Wu Xiang Li Shangguang Wang FedML 118 26 0 26 Aug 2023
Adapter-based Selective Knowledge Distillation for Federated Multi-domain Meeting Summarization Xiachong Feng Xiaocheng Feng Xiyuan Du MingSung Kan Bing Qin FedML 77 5 0 07 Aug 2023
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions Weiming Zhuang Chen Chen Lingjuan Lyu Chong Chen Yaochu Jin Lingjuan Lyu AIFin AI4CE 223 98 0 27 Jun 2023