SplitAVG: A heterogeneity-aware federated deep learning method for
medical imaging

SplitAVG: A heterogeneity-aware federated deep learning method for medical imaging

6 July 2021

Jayashree Kalpathy-Cramer

Papers citing "SplitAVG: A heterogeneity-aware federated deep learning method for medical imaging"

16 / 16 papers shown

Title
MedSegNet10: A Publicly Accessible Network Repository for Split Federated Medical Image Segmentation C. Shiranthika Zahra Hafezi Kafshgari Hadi Hadizadeh Parvaneh Saeedi FedML 45 0 0 26 Mar 2025
Redefining non-IID Data in Federated Learning for Computer Vision Tasks: Migrating from Labels to Embeddings for Task-Specific Data Distributions Kasra Borazjani Payam Abdisarabshali Naji Khosravan Seyyedali Hosseinalipour FedML 36 1 0 17 Mar 2025
The Impact of Cut Layer Selection in Split Federated Learning Justin Dachille Chao Huang Xin Liu FedML 83 0 0 20 Dec 2024
FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated Learning Minjun Kim Minjee Kim Jinhoon Jeong FedML MedIm OOD 64 0 0 16 Dec 2024
Tackling Data Heterogeneity in Federated Learning via Loss Decomposition Shuang Zeng Pengxin Guo Shuai Wang Jianbo Wang Yuyin Zhou Liangqiong Qu FedML 29 2 0 22 Aug 2024
Privacy-Preserving and Trustworthy Deep Learning for Medical Imaging Kiarash Sedghighadikolaei Attila A Yavuz 39 1 0 29 Jun 2024
Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities Felix Wagner Wentian Xu Pramit Saha Ziyun Liang Daniel Whitehouse David Menon Virginia Newcombe Natalie Voets J. A. Noble Konstantinos Kamnitsas 41 4 0 17 Jun 2024
MergeSFL: Split Federated Learning with Feature Merging and Batch Size Regulation Yunming Liao Yang Xu Hong-Ze Xu Lun Wang Zhiwei Yao C. Qiao FedML MoMe 30 10 0 22 Nov 2023
Tackling Heterogeneity in Medical Federated learning via Vision Transformers Erfan Darzi Yiqing Shen Yangming Ou N. Sijtsema P. V. Ooijen MedIm FedML 21 0 0 13 Oct 2023
Deep Learning and Computer Vision for Glaucoma Detection: A Review Mona Ashtari-Majlan Mohammad Mahdi Dehshibi David Masip 25 9 0 31 Jul 2023
Federated Learning for Medical Image Analysis: A Survey Hao Guan Pew-Thian Yap Andrea Bozoki Mingxia Liu FedML OOD 29 112 0 09 Jun 2023
Quality-Adaptive Split-Federated Learning for Segmenting Medical Images with Inaccurate Annotations Zahra Hafezi Kafshgari C. Shiranthika Parvaneh Saeedi Ivan V. Bajić FedML 11 6 0 28 Apr 2023
The Past, Current, and Future of Neonatal Intensive Care Units with Artificial Intelligence Elif Keles Ulas Bagci 33 21 0 01 Feb 2023
Robust Split Federated Learning for U-shaped Medical Image Networks Ziyuan Yang Yingyu Chen Huijie Huangfu Maosong Ran Hui Wang Xiaoxiao Li Yi Zhang OOD FedML 29 11 0 13 Dec 2022
FedGraph: an Aggregation Method from Graph Perspective Zhifang Deng Xiaohong Huang Dandan Li Xueguang Yuan FedML 22 0 0 06 Oct 2022
Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning Liangqiong Qu Yuyin Zhou Paul Pu Liang Yingda Xia Feifei Wang Ehsan Adeli L. Fei-Fei D. Rubin FedML AI4CE 19 173 0 10 Jun 2021