When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions

27 June 2023

Papers citing "When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions"

50 / 66 papers shown

Title
A Survey on Parameter-Efficient Fine-Tuning for Foundation Models in Federated Learning Jieming Bian Yuanzhe Peng Lei Wang Yin Huang Jie Xu FedML 38 0 0 29 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 43 0 0 19 Mar 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 75 0 0 24 Feb 2025
Ten Challenging Problems in Federated Foundation Models Tao Fan Hanlin Gu Xuemei Cao Chee Seng Chan Qian Chen ... Y. Zhang Xiaojin Zhang Zhenzhe Zheng Lixin Fan Qiang Yang FedML 51 1 0 14 Feb 2025
A Comprehensive Survey of Foundation Models in Medicine Wasif Khan Seowung Leem Kyle B. See Joshua K. Wong Shaoting Zhang R. Fang AI4CE LM&MA VLM 63 11 0 17 Jan 2025
Federated Fine-Tuning of LLMs: Framework Comparison and Research Directions Na Yan Yang Su Yansha Deng Robert Schober FedML 43 0 0 08 Jan 2025
Asymmetrical Reciprocity-based Federated Learning for Resolving Disparities in Medical Diagnosis Jiaqi Wang Ziyi Yin Quanzeng You Lingjuan Lyu Fenglong Ma FedML 46 0 0 27 Dec 2024
Incentivized Symbiosis: A Paradigm for Human-Agent Coevolution T. J. Chaffer Justin Goldston Gemach D. A. T. A. I 86 0 0 08 Dec 2024
FedBaF: Federated Learning Aggregation Biased by a Foundation Model Jong-Ik Park Srinivasa Pranav J. M. F. Moura Carlee Joe-Wong AI4CE 35 2 0 24 Oct 2024
Securing Federated Learning Against Novel and Classic Backdoor Threats During Foundation Model Integration Xiaohuan Bi Xi Li 29 0 0 23 Oct 2024
Federated Learning in Practice: Reflections and Projections Katharine Daly Hubert Eichner Peter Kairouz H. B. McMahan Daniel Ramage Zheng Xu FedML 32 2 0 11 Oct 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 42 5 0 24 Sep 2024
Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework Zilinghan Li Shilan He Ze Yang Minseok Ryu Kibaek Kim Ravi K. Madduri FedML 31 4 0 17 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 31 1 0 14 Sep 2024
FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection Jiaqi Wang Xiaochen Wang Lingjuan Lyu Jinghui Chen Fenglong Ma 39 0 0 17 Aug 2024
COALA: A Practical and Vision-Centric Federated Learning Platform Weiming Zhuang Jian Xu Chen Chen Jingtao Li Lingjuan Lyu VLM FedML 47 0 0 23 Jul 2024
Probing the Efficacy of Federated Parameter-Efficient Fine-Tuning of Vision Transformers for Medical Image Classification Naif Alkhunaizi Faris Almalik Rouqaiah Al-Refai Muzammal Naseer Karthik Nandakumar MedIm 41 1 0 16 Jul 2024
Federated Knowledge Transfer Fine-tuning Large Server Model with Resource-Constrained IoT Clients Shaoyuan Chen Linlin You Rui Liu Shuo Yu A. Abdelmoniem 32 0 0 07 Jul 2024
Impact of Network Topology on Byzantine Resilience in Decentralized Federated Learning Siddhartha Bhattacharya Daniel Helo Joshua Siegel 33 0 0 06 Jul 2024
Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients Mengmeng Ma Tang Li Xi Peng 38 1 0 06 Jul 2024
Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey Mang Ye Wei Shen Bo Du E. Snezhko Vassili Kovalev PongChi Yuen FedML 45 1 0 25 May 2024
Navigating the Future of Federated Recommendation Systems with Foundation Models Zhiwei Li Guodong Long Chunxu Zhang Honglei Zhang Jing Jiang Chengqi Zhang 66 2 0 12 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 35 0 0 10 May 2024
Research and application of artificial intelligence based webshell detection model: A literature review Mingrui Ma Lansheng Han Chunjie Zhou 39 1 0 28 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 29 2 0 23 Apr 2024
Towards Multi-modal Transformers in Federated Learning Guangyu Sun Matías Mendieta Aritra Dutta Xin Li C. L. P. Chen 29 0 0 18 Apr 2024
FedPFT: Federated Proxy Fine-Tuning of Foundation Models Zhaopeng Peng Xiaoliang Fan Yufan Chen Zheng Wang Shirui Pan Chenglu Wen Ruisheng Zhang Cheng-i Wang 31 2 0 17 Apr 2024
Ethical Framework for Responsible Foundational Models in Medical Imaging Abhijit Das Debesh Jha Jasmer Sanjotra Onkar Susladkar Suramyaa Sarkar A. Rauniyar Nikhil Tomar Vanshali Sharma Ulas Bagci MedIm 39 0 0 14 Apr 2024
Foundation Model for Advancing Healthcare: Challenges, Opportunities, and Future Directions Yuting He Fuxiang Huang Xinrui Jiang Yuxiang Nie Minghao Wang Jiguang Wang Hao Chen LM&MA AI4CE 31 8 0 04 Apr 2024
Dual-Personalizing Adapter for Federated Foundation Models Yiyuan Yang Guodong Long Taoshu Shen Jing Jiang Michael Blumenstein 52 3 0 28 Mar 2024
An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning Jianqing Zhang Yang Janet Liu Yang Hua Jian Cao 35 2 0 23 Mar 2024
Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting Rong Dai Yonggang Zhang Ang Li Tongliang Liu Xun Yang Bo Han FedML 31 1 0 23 Feb 2024
Large Language Models are Few-shot Generators: Proposing Hybrid Prompt Algorithm To Generate Webshell Escape Samples Mingrui Ma Lansheng Han Chunjie Zhou SILM AAML 26 0 0 12 Feb 2024
Exploring Federated Self-Supervised Learning for General Purpose Audio Understanding Yasar Abbas Ur Rehman Kin Wai Lau Yuyang Xie Lan Ma Jiajun Shen 27 0 0 05 Feb 2024
Federated Learning with New Knowledge: Fundamentals, Advances, and Futures Lixu Wang Yang Zhao Jiahua Dong Ating Yin Qinbin Li Xiao Wang Dusit Niyato Qi Zhu FedML 34 0 0 03 Feb 2024
Parametric Feature Transfer: One-shot Federated Learning with Foundation Models Mahdi Beitollahi Alex Bie S. Hemati Leo Maxime Brunswic Xu Li Xi Chen Guojun Zhang FedML 29 2 0 02 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 43 14 0 30 Jan 2024
Towards Integrated Fine-tuning and Inference when Generative AI meets Edge Intelligence Ning Chen Zhipeng Cheng Xuwei Fan Xiaoyu Xia Lianfen Huang 32 0 0 05 Jan 2024
Unveiling Backdoor Risks Brought by Foundation Models in Heterogeneous Federated Learning Xi Li Chen Henry Wu Jiaqi Wang AAML 26 2 0 30 Nov 2023
Grounding Foundation Models through Federated Transfer Learning: A General Framework Yan Kang Tao Fan Hanlin Gu Xiaojin Zhang Lixin Fan Qiang Yang AI4CE 19 17 0 29 Nov 2023
Federated Fine-Tuning of Foundation Models via Probabilistic Masking Vasileios Tsouvalas Yuki M. Asano Aaqib Saeed FedML 39 2 0 29 Nov 2023
Trustworthy Large Models in Vision: A Survey Ziyan Guo Li Xu Jun Liu MU 24 0 0 16 Nov 2023
Backdoor Threats from Compromised Foundation Models to Federated Learning Xi Li Songhe Wang Chen Henry Wu Hao Zhou Jiaqi Wang 43 5 0 31 Oct 2023
FedSplitX: Federated Split Learning for Computationally-Constrained Heterogeneous Clients Jiyun Shin Jinhyun Ahn Honggu Kang Joonhyuk Kang FedML 23 3 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 23 5 0 08 Oct 2023
Bridging the Gap Between Foundation Models and Heterogeneous Federated Learning Sixing Yu J. P. Muñoz Ali Jannesari AI4CE 37 6 0 30 Sep 2023
FwdLLM: Efficient FedLLM using Forward Gradient Mengwei Xu Dongqi Cai Yaozong Wu Xiang Li Shangguang Wang FedML 23 21 0 26 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 28 15 0 21 Aug 2023
FDAPT: Federated Domain-adaptive Pre-training for Language Models Lekang Jiang F. Svoboda Nicholas D. Lane FedML AI4CE 23 4 0 12 Jul 2023
Recommender Systems in the Era of Large Language Models (LLMs) Zihuai Zhao Wenqi Fan Jiatong Li Yunqing Liu Xiaowei Mei ... Zhen Wen Fei Wang Xiangyu Zhao Jiliang Tang Qing Li KELM 27 209 0 05 Jul 2023