MetaFed: Federated Learning among Federations with Cyclic Knowledge Distillation for Personalized Healthcare

17 June 2022

Xing Xie

Papers citing "MetaFed: Federated Learning among Federations with Cyclic Knowledge Distillation for Personalized Healthcare"

34 / 34 papers shown

Title
Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data Ljubomir Rokvic Panayiotis Danassis Boi Faltings FedML 29 0 0 05 May 2025
A Client-level Assessment of Collaborative Backdoor Poisoning in Non-IID Federated Learning Phung Lai Guanxiong Liu Hai Phan Issa M. Khalil Abdallah Khreishah Xintao Wu FedML 28 0 0 17 Apr 2025
FedX: Adaptive Model Decomposition and Quantization for IoT Federated Learning Phung Lai Xiaopeng Jiang Hai Phan Cristian Borcea K. Tran An M. Chen Vijaya Datta Mayyuri Ruoming Jin FedML MQ 55 0 0 17 Apr 2025
FHBench: Towards Efficient and Personalized Federated Learning for Multimodal Healthcare Penghao Wang Qian Chen Teng Zhang Y. Zhang Wang Lu Yiqiang Chen 21 0 0 15 Apr 2025
Knowledge Augmentation in Federation: Rethinking What Collaborative Learning Can Bring Back to Decentralized Data Wentai Wu Ligang He Saiqin Long Ahmed M. Abdelmoniem Yingliang Wu Rui Mao 50 0 0 05 Mar 2025
MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks Alejandro Guerra-Manzanares Farah E. Shamout 51 0 0 03 Feb 2025
FedBrain-Distill: Communication-Efficient Federated Brain Tumor Classification Using Ensemble Knowledge Distillation on Non-IID Data Rasoul Jafari Gohari Laya Aliahmadipour Ezat Valipour FedML 21 0 0 09 Sep 2024
Beyond the Hype: A dispassionate look at vision-language models in medical scenario Yang Nan Huichi Zhou Xiaodan Xing Guang Yang 46 3 0 16 Aug 2024
Addressing Skewed Heterogeneity via Federated Prototype Rectification with Personalization Shunxin Guo Hongsong Wang Shuxia Lin Zhiqiang Kou Xin Geng FedML 33 1 0 15 Aug 2024
Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions Laiqiao Qin Tianqing Zhu Wanlei Zhou Philip S. Yu 25 5 0 16 Jun 2024
Data-Free Federated Class Incremental Learning with Diffusion-Based Generative Memory Naibo Wang Yuchen Deng Wenjie Feng Jianwei Yin See-Kiong Ng DiffM FedML 31 1 0 22 May 2024
One-Shot Sequential Federated Learning for Non-IID Data by Enhancing Local Model Diversity Naibo Wang Yuchen Deng Wenjie Feng Shichen Fan Jianwei Yin See-Kiong Ng FedML 21 5 0 18 Apr 2024
KnFu: Effective Knowledge Fusion Seyed Jamal Seyed-Mohammadi Kawa Atapour J. Abouei Arash Mohammadi FedML 19 2 0 18 Mar 2024
Towards Optimal Customized Architecture for Heterogeneous Federated Learning with Contrastive Cloud-Edge Model Decoupling Xingyan Chen Tian Du Mu Wang Tiancheng Gu Yu Zhao Gang Kou Changqiao Xu Dapeng Oliver Wu 21 2 0 04 Mar 2024
RobWE: Robust Watermark Embedding for Personalized Federated Learning Model Ownership Protection Yang Xu Yunlin Tan Cheng Zhang Kai Chi Peng Sun Wenyuan Yang Ju Ren Hongbo Jiang Yaoxue Zhang FedML 39 2 0 29 Feb 2024
FedLPPA: Learning Personalized Prompt and Aggregation for Federated Weakly-supervised Medical Image Segmentation Li Lin Yixiang Liu Jiewei Wu Pujin Cheng Zhiyuan Cai Kenneth K. Y. Wong Xiaoying Tang FedML 29 6 0 27 Feb 2024
FedSiKD: Clients Similarity and Knowledge Distillation: Addressing Non-i.i.d. and Constraints in Federated Learning Yousef Alsenani Rahul Mishra Khaled R. Ahmed Atta Ur Rahman FedML 21 1 0 14 Feb 2024
Fairness-Aware Job Scheduling for Multi-Job Federated Learning Yuxin Shi Han Yu FedML 8 3 0 05 Jan 2024
Eliminating Domain Bias for Federated Learning in Representation Space Jianqing Zhang Yang Hua Jian Cao Hao Wang Tao Song Zhengui Xue Ruhui Ma Haibing Guan FedML 66 29 0 25 Nov 2023
Multimodal Federated Learning in Healthcare: a Review Jacob Thrasher Alina Devkota Prasiddha Siwakotai Rohit Chivukula Pranav Poudel Chaunbo Hu Binod Bhattarai P. Gyawali 26 7 0 14 Oct 2023
Advocating for the Silent: Enhancing Federated Generalization for Non-Participating Clients Zheshun Wu Zenglin Xu Dun Zeng Qifan Wang Jie Liu FedML 19 1 0 11 Oct 2023
GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning Jianqing Zhang Yang Hua Hao Wang Tao Song Zhengui Xue Ruhui Ma Jianyin Cao Haibing Guan 26 23 0 20 Aug 2023
Rethinking Client Drift in Federated Learning: A Logit Perspective Yu-bao Yan Chun-Mei Feng Senior Member Ieee Wangmeng Zuo Senior Member Ieee Mang Ye Mong Goh Ping Li Rick Siow Lei Zhu F. I. C. L. Philip Chen FedML 16 8 0 20 Aug 2023
Unifying and Personalizing Weakly-supervised Federated Medical Image Segmentation via Adaptive Representation and Aggregation Li Lin Jiewei Wu Yixiang Liu Kenneth K. Y. Wong Xiaoying Tang FedML 8 6 0 12 Apr 2023
FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning Wang Lu Xixu Hu Jindong Wang Xingxu Xie FedML VLM 11 51 0 27 Feb 2023
Advancements in Federated Learning: Models, Methods, and Privacy Hui Chen Huandong Wang Qingyue Long Depeng Jin Yong Li FedML 20 13 0 22 Feb 2023
Knowledge Distillation in Federated Edge Learning: A Survey Zhiyuan Wu Sheng Sun Yuwei Wang Min Liu Xue Jiang Runhan Li Bo Gao FedML 22 4 0 14 Jan 2023
Hypernetwork-based Personalized Federated Learning for Multi-Institutional CT Imaging Ziyuan Yang Wenjun Xia Zexin Lu Yingyu Chen Xiaoxia Li Yi Zhang FedML OOD 8 28 0 08 Jun 2022
Heterogeneous Federated Learning via Grouped Sequential-to-Parallel Training Shenglai Zeng Zonghang Li Hongfang Yu Yihong He Zenglin Xu Dusit Niyato Han Yu FedML 39 19 0 31 Jan 2022
Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients Riccardo Zaccone Andrea Rizzardi Debora Caldarola Marco Ciccone Barbara Caputo FedML 31 14 0 26 Jan 2022
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 161 634 0 27 Oct 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 180 832 0 01 Mar 2021
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 168 770 0 15 Feb 2021
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 174 1,690 0 18 Mar 2020