PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models -- Federated Learning in Age of Foundation Model

24 August 2022

Papers citing "PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models -- Federated Learning in Age of Foundation Model"

24 / 24 papers shown

Title
FedSDAF: Leveraging Source Domain Awareness for Enhanced Federated Domain Generalization H. Li Zesheng Zhou Zhenbiao Cao X. Li Wei Chen X. Zhang FedML 33 0 0 05 May 2025
FedMVP: Federated Multi-modal Visual Prompt Tuning for Vision-Language Models Mainak Singha Subhankar Roy Sarthak Mehrotra Ankit Jha Moloud Abdar Biplab Banerjee Elisa Ricci VLM VPVLM 108 0 0 29 Apr 2025
Capture Global Feature Statistics for One-Shot Federated Learning Zenghao Guan Yucan Zhou Xiaoyan Gu FedML 63 0 0 10 Mar 2025
FAA-CLIP: Federated Adversarial Adaptation of CLIP Yihang Wu A. Chaddad Christian Desrosiers Tareef Daqqaq R. Kateb VLM 49 0 0 26 Feb 2025
Vision Foundation Models in Medical Image Analysis: Advances and Challenges Pengchen Liang Bin Pu Haishan Huang Yiwei Li H. Wang Weibo Ma Qing Chang VLM MedIm 99 0 0 24 Feb 2025
Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models Jun Luo C. L. P. Chen Shandong Wu FedML VLM MoE 36 3 0 14 Oct 2024
Selective Aggregation for Low-Rank Adaptation in Federated Learning Pengxin Guo Shuang Zeng Y. Wang Huijie Fan Feifei Wang Liangqiong Qu FedML 36 8 0 02 Oct 2024
Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models Jinliang Lu Ziliang Pang Min Xiao Yaochen Zhu Rui Xia Jiajun Zhang MoMe 29 17 0 08 Jul 2024
On-Demand Model and Client Deployment in Federated Learning with Deep Reinforcement Learning M. Chahoud Hani Sami Azzam Mourad Hadi Otrok Jamal Bentahar Mohsen Guizani 24 0 0 12 May 2024
Efficient Model Personalization in Federated Learning via Client-Specific Prompt Generation Fu-En Yang Chien-Yi Wang Yu-Chiang Frank Wang VLM FedML 9 58 0 29 Aug 2023
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions Weiming Zhuang Chen Chen Lingjuan Lyu C. L. P. Chen Yaochu Jin Lingjuan Lyu AIFin AI4CE 86 85 0 27 Jun 2023
FedTune: A Deep Dive into Efficient Federated Fine-Tuning with Pre-trained Transformers Jinyu Chen Wenchao Xu Song Guo Junxiao Wang Jie M. Zhang Haozhao Wang FedML 15 32 0 15 Nov 2022
Federated Adaptive Prompt Tuning for Multi-Domain Collaborative Learning Shangchao Su Min Yang Bin Li Xiangyang Xue VLM FedML 19 17 0 15 Nov 2022
On the Difficulty of Defending Self-Supervised Learning against Model Extraction Adam Dziedzic Nikita Dhawan Muhammad Ahmad Kaleem Jonas Guan Nicolas Papernot MIACV 46 22 0 16 May 2022
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP Andreas Fürst Elisabeth Rumetshofer Johannes Lehner Viet-Hung Tran Fei Tang ... David P. Kreil Michael K Kopp G. Klambauer Angela Bitto-Nemling Sepp Hochreiter VLM CLIP 199 101 0 21 Oct 2021
VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding Hu Xu Gargi Ghosh Po-Yao (Bernie) Huang Dmytro Okhonko Armen Aghajanyan Florian Metze Luke Zettlemoyer Florian Metze Luke Zettlemoyer Christoph Feichtenhofer CLIP VLM 245 554 0 28 Sep 2021
Learning to Prompt for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VPVLM CLIP VLM 322 2,249 0 02 Sep 2021
How Much Can CLIP Benefit Vision-and-Language Tasks? Sheng Shen Liunian Harold Li Hao Tan Mohit Bansal Anna Rohrbach Kai-Wei Chang Z. Yao Kurt Keutzer CLIP VLM MLLM 185 403 0 13 Jul 2021
Open-vocabulary Object Detection via Vision and Language Knowledge Distillation Xiuye Gu Tsung-Yi Lin Weicheng Kuo Yin Cui VLM ObjD 223 897 0 28 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 278 3,784 0 18 Apr 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision Chao Jia Yinfei Yang Ye Xia Yi-Ting Chen Zarana Parekh Hieu H. Pham Quoc V. Le Yun-hsuan Sung Zhen Li Tom Duerig VLM CLIP 293 3,683 0 11 Feb 2021
Federated Learning on Non-IID Data Silos: An Experimental Study Q. Li Yiqun Diao Quan Chen Bingsheng He FedML OOD 85 936 0 03 Feb 2021
WARP: Word-level Adversarial ReProgramming Karen Hambardzumyan Hrant Khachatrian Jonathan May AAML 254 340 0 01 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,898 0 31 Dec 2020