FHBench: Towards Efficient and Personalized Federated Learning for Multimodal Healthcare

15 April 2025

Papers citing "FHBench: Towards Efficient and Personalized Federated Learning for Multimodal Healthcare"

31 / 31 papers shown

Title
Ten Challenging Problems in Federated Foundation Models Tao Fan Hanlin Gu Xuemei Cao Chee Seng Chan Qian Chen ... Yu Zhang Xiaojin Zhang Zhenzhe Zheng Lixin Fan Qiang Yang FedML 145 8 0 14 Feb 2025
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 84 21 0 12 Jun 2024
Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification Yihe Wang Nan Huang Taida Li Yujun Yan Xiang Zhang MedIm AI4TS 81 26 0 24 May 2024
FLoRA: Enhancing Vision-Language Models with Parameter-Efficient Federated Learning Duy Phuong Nguyen J. P. Muñoz Ali Jannesari VLM 72 8 0 12 Apr 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 82 95 0 10 Feb 2024
MOMENT: A Family of Open Time-series Foundation Models Mononito Goswami Konrad Szafer Arjun Choudhry Yifu Cai Shuo Li Artur Dubrawski AIFin AI4TS 102 151 0 06 Feb 2024
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 79 55 0 23 Oct 2023
FedMultimodal: A Benchmark For Multimodal Federated Learning Tiantian Feng Digbalay Bose Tuo Zhang Rajat Hebbar Anil Ramakrishna Rahul Gupta Mi Zhang Salman Avestimehr Shrikanth Narayanan 88 57 0 15 Jun 2023
When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning Methods Zhuo Zhang Yuanhang Yang Yong Dai Zhuang Li Zenglin Xu FedML 96 80 0 20 Dec 2022
FedALA: Adaptive Local Aggregation for Personalized Federated Learning Jianqing Zhang Yang Hua Hao Wang Tao Song Zhengui Xue Ruhui Ma Haibing Guan FedML 72 229 0 02 Dec 2022
Evaluating Unsupervised Text Classification: Zero-shot and Similarity-based Approaches Tim Schopf Daniel Braun Florian Matthes 70 59 0 29 Nov 2022
Pretraining Respiratory Sound Representations using Metadata and Contrastive Learning Ilyass Moummad Nicolas Farrugia 84 22 0 27 Oct 2022
Industry-Scale Orchestrated Federated Learning for Drug Discovery M. Oldenhof G. Ács Balázs Pejó A. Schuffenhauer Nicholas Holway ... Yves Moreau Ola Engkvist Hugo Ceulemans Camille Marini M. Galtier FedML 102 40 0 17 Oct 2022
MetaFed: Federated Learning among Federations with Cyclic Knowledge Distillation for Personalized Healthcare Yiqiang Chen Wang Lu Xin Qin Jindong Wang Xing Xie FedML 113 63 0 17 Jun 2022
Personalized Federated Learning with Adaptive Batchnorm for Healthcare Wang Lu Jindong Wang Yiqiang Chen Xin Qin Renjun Xu Dimitrios Dimitriadis Tao Qin FedML OOD 80 65 0 01 Dec 2021
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification Jiancheng Yang Rui Shi D. Wei Zequan Liu Lin Zhao B. Ke Hanspeter Pfister Bingbing Ni VLM 305 702 0 27 Oct 2021
Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning Jun Luo Shandong Wu OOD MQ 134 77 0 15 Oct 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 490 10,496 0 17 Jun 2021
FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks Bill Yuchen Lin Chaoyang He ZiHang Zeng Hulin Wang Yufen Huang Christophe Dupuy Rahul Gupta Mahdi Soltanolkotabi Xiang Ren Salman Avestimehr FedML 74 116 0 18 Apr 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation Xiang Lisa Li Percy Liang 252 4,299 0 01 Jan 2021
MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis Jiancheng Yang Rui Shi Bingbing Ni VLM 96 305 0 28 Oct 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 673 41,430 0 22 Oct 2020
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations Alexei Baevski Henry Zhou Abdel-rahman Mohamed Michael Auli SSL 299 5,837 0 20 Jun 2020
Adaptive Personalized Federated Learning Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 314 559 0 30 Mar 2020
Privacy-preserving Federated Brain Tumour Segmentation Wenqi Li Fausto Milletarì Daguang Xu Nicola Rieke Jonny Hancox ... Maximilian Baust Yan Cheng Sébastien Ourselin M. Jorge Cardoso Andrew Feng FedML 73 480 0 02 Oct 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 680 24,541 0 26 Jul 2019
Federated Optimization in Heterogeneous Networks Tian Li Anit Kumar Sahu Manzil Zaheer Maziar Sanjabi Ameet Talwalkar Virginia Smith FedML 190 5,220 0 14 Dec 2018
LEAF: A Benchmark for Federated Settings S. Caldas Sai Meher Karthik Duddu Peter Wu Tian Li Jakub Konecný H. B. McMahan Virginia Smith Ameet Talwalkar FedML 158 1,422 0 03 Dec 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,175 0 11 Oct 2018
PubMed 200k RCT: a Dataset for Sequential Sentence Classification in Medical Abstracts Franck Dernoncourt Ji Young Lee 71 230 0 17 Oct 2017
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 408 17,593 0 17 Feb 2016