Title
Analysing the Influence of Attack Configurations on the Reconstruction of Medical Images in Federated Learning M. Dahlgaard Morten Wehlast Jorgensen N. Fuglsang Hiba Nassar FedML AAML 38 2 0 25 Apr 2022
Homomorphic Encryption and Federated Learning based Privacy-Preserving CNN Training: COVID-19 Detection Use-Case Febrianti Wibawa Ferhat Ozgur Catak S. Sarp Murat Kuzlu Umit Cali FedML 11 81 0 16 Apr 2022
Multi-Task Distributed Learning using Vision Transformer with Random Patch Permutation Sangjoon Park Jong Chul Ye FedML MedIm 47 19 0 07 Apr 2022
Federated Cross Learning for Medical Image Segmentation Xuanang Xu H. Deng Tianyi Chen Tianshu Kuang J. C. Barber Daeseung Kim J. Gateno J. Xia Pingkun Yan FedML OOD 35 17 0 05 Apr 2022
Improving Generalization in Federated Learning by Seeking Flat Minima Debora Caldarola Barbara Caputo Marco Ciccone FedML 47 110 0 22 Mar 2022
Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey Mansoor Ali F. Naeem M. Tariq Georges Kaddoum 37 119 0 18 Mar 2022
FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving Lidia Fantauzzo Eros Fani Debora Caldarola A. Tavera Fabio Cermelli Marco Ciccone Barbara Caputo FedML 36 52 0 28 Feb 2022
Evaluation and Analysis of Different Aggregation and Hyperparameter Selection Methods for Federated Brain Tumor Segmentation Ece Isik Polat Gorkem Polat Altan Koçyiğit A. Temi̇zel OOD FedML 22 3 0 16 Feb 2022
Do Gradient Inversion Attacks Make Federated Learning Unsafe? Ali Hatamizadeh Hongxu Yin Pavlo Molchanov Andriy Myronenko Wenqi Li ... Andrew Feng Mona G. Flores Jan Kautz Daguang Xu H. Roth FedML 33 62 0 14 Feb 2022
Federated Learning of Generative Image Priors for MRI Reconstruction Gokberk Elmas S. Dar Yilmaz Korkmaz Emir Ceyani Burak Susam Muzaffer Özbey Salman Avestimehr Tolga cCukur FedML MedIm AI4CE 26 89 0 08 Feb 2022
Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models Liam H. Fowl Jonas Geiping Steven Reich Yuxin Wen Wojtek Czaja Micah Goldblum Tom Goldstein FedML 73 56 0 29 Jan 2022
Modality Bank: Learn multi-modality images across data centers without sharing medical data Qi Chang Hui Qu Zhennan Yan Yunhe Gao L. Baskaran Dimitris N. Metaxas MedIm 22 4 0 22 Jan 2022
Federated Learning with Heterogeneous Architectures using Graph HyperNetworks Or Litany Haggai Maron David Acuna Jan Kautz Gal Chechik Sanja Fidler FedML 43 24 0 20 Jan 2022
FedBalancer: Data and Pace Control for Efficient Federated Learning on Heterogeneous Clients Jaemin Shin Yuanchun Li Yunxin Liu Sung-Ju Lee FedML 17 74 0 05 Jan 2022
FedNI: Federated Graph Learning with Network Inpainting for Population-Based Disease Prediction Liang Peng Nan Wang Nicha Dvornek Xiaofeng Zhu Xiaoxiao Li FedML AI4CE 31 70 0 19 Dec 2021
Cross-Domain Federated Learning in Medical Imaging V. Parekh Shuhao Lai Vladimir Braverman Jeff Leal S. Rowe J. Pillai M. Jacobs OOD FedML 27 29 0 18 Dec 2021
Specificity-Preserving Federated Learning for MR Image Reconstruction Chun-Mei Feng Yu-bao Yan Shanshan Wang Yong Xu Ling Shao Huazhu Fu OOD 45 78 0 09 Dec 2021
On Convergence of Federated Averaging Langevin Dynamics Wei Deng Qian Zhang Yi Ma Zhao Song Guang Lin FedML 35 16 0 09 Dec 2021
Collaborative Learning over Wireless Networks: An Introductory Overview Emre Ozfatura Deniz Gunduz H. Vincent Poor 30 11 0 07 Dec 2021
SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Clients in Federated Learning Sixing Yu P. Nguyen Waqwoya Abebe Wei Qian Ali Anwar Ali Jannesari FedML 45 20 0 29 Nov 2021
FedDropoutAvg: Generalizable federated learning for histopathology image classification G. N. Gunesli M. Bilal S. Raza Nasir M. Rajpoot FedML OOD 27 20 0 25 Nov 2021
Decentralized Federated Learning through Proxy Model Sharing Shivam Kalra Junfeng Wen Jesse C. Cresswell M. Volkovs Hamid R. Tizhoosh FedML 21 94 0 22 Nov 2021
FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks Chaoyang He Alay Dilipbhai Shah Zhenheng Tang Adarshan Naiynar Sivashunmugam Keerti Bhogaraju Mita Shimpi Li Shen Xiaowen Chu Mahdi Soltanolkotabi Salman Avestimehr VLM FedML 37 68 0 22 Nov 2021
Federated Learning for Smart Healthcare: A Survey Dinh C. Nguyen Viet Quoc Pham P. Pathirana Ming Ding Aruna Seneviratne Zihuai Lin O. Dobre W. Hwang FedML 24 517 0 16 Nov 2021
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning Raed Al Kontar Naichen Shi Xubo Yue Seokhyun Chung E. Byon ... Chinedum Okwudire Garvesh Raskutti R. Saigal Karandeep Singh Ye Zhisheng FedML 49 51 0 09 Nov 2021
Resource-Efficient Federated Learning A. Abdelmoniem Atal Narayan Sahu Marco Canini Suhaib A. Fahmy FedML 37 55 0 01 Nov 2021
Algorithm Fairness in AI for Medicine and Healthcare Richard J. Chen Tiffany Y. Chen Jana Lipkova Judy J. Wang Drew F. K. Williamson Ming Y. Lu S. Sahai Faisal Mahmood FaML 73 45 0 01 Oct 2021
NanoBatch Privacy: Enabling fast Differentially Private learning on the IPU Edward H. Lee M. M. Krell Alexander Tsyplikhin Victoria Rege E. Colak Kristen W. Yeom FedML 21 0 0 24 Sep 2021
Federated Contrastive Learning for Decentralized Unlabeled Medical Images Nanqing Dong Irina Voiculescu FedML 27 62 0 15 Sep 2021
Federated Learning for Privacy-Preserving Open Innovation Future on Digital Health Guodong Long Tao Shen Yue Tan Leah Gerrard Allison Clarke Jing Jiang FedML 26 45 0 24 Aug 2021
Multi-task Federated Learning for Heterogeneous Pancreas Segmentation Chen Shen Pochuan Wang H. Roth Dong Yang Daguang Xu ... C. Fuh Po-Ting Chen Kao-Lang Liu W. Liao K. Mori FedML 16 41 0 19 Aug 2021
Collaborative Unsupervised Visual Representation Learning from Decentralized Data Weiming Zhuang Xin Gan Yonggang Wen Shuai Zhang Shuai Yi FedML 35 98 0 14 Aug 2021
PRECODE - A Generic Model Extension to Prevent Deep Gradient Leakage Daniel Scheliga Patrick Mäder M. Seeland MIACV 14 36 0 10 Aug 2021
Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging Richard Osuala Kaisar Kushibar Lidia Garrucho Akis Linardos Zuzanna Szafranowska Stefan Klein Ben Glocker Oliver Díaz Karim Lekadir MedIm 41 42 0 20 Jul 2021
Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures H. Roth Dong Yang Wenqi Li Andriy Myronenko Wentao Zhu Ziyue Xu Xiaosong Wang Daguang Xu FedML 47 24 0 16 Jul 2021
Challenges for machine learning in clinical translation of big data imaging studies Nicola K. Dinsdale Emma Bluemke V. Sundaresan M. Jenkinson Stephen Smith Ana I. L. Namburete AI4CE 50 41 0 07 Jul 2021
Federated Learning for Multi-Center Imaging Diagnostics: A Study in Cardiovascular Disease Akis Linardos Kaisar Kushibar S. Walsh P. Gkontra Karim Lekadir FedML 25 63 0 07 Jul 2021
Differentially private federated deep learning for multi-site medical image segmentation Alexander Ziller Dmitrii Usynin Nicolas W. Remerscheid Moritz Knolle Marcus R. Makowski R. Braren Daniel Rueckert Georgios Kaissis FedML 14 22 0 06 Jul 2021
Memory-aware curriculum federated learning for breast cancer classification Amelia Jiménez-Sánchez Mickael Tardy M. A. G. Ballester Diana Mateus Gemma Piella OOD 38 88 0 06 Jul 2021
Handling Data Heterogeneity with Generative Replay in Collaborative Learning for Medical Imaging Liangqiong Qu N. Balachandar Miao Zhang D. Rubin MedIm 22 19 0 24 Jun 2021
Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching Quande Liu Hongzhen Yang Qi Dou Pheng-Ann Heng FedML 35 76 0 16 Jun 2021
Heterogeneous Federated Learning using Dynamic Model Pruning and Adaptive Gradient Sixing Yu P. Nguyen Ali Anwar Ali Jannesari 37 12 0 13 Jun 2021
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future David Ahmedt-Aristizabal M. Armin Simon Denman Clinton Fookes L. Petersson 20 178 0 27 May 2021
FedScale: Benchmarking Model and System Performance of Federated Learning at Scale Fan Lai Yinwei Dai Sanjay Sri Vallabh Singapuram Jiachen Liu Xiangfeng Zhu H. Madhyastha Mosharaf Chowdhury FedML 50 196 0 24 May 2021
Towards Unsupervised Domain Adaptation for Deep Face Recognition under Privacy Constraints via Federated Learning Weiming Zhuang Xin Gan Yonggang Wen Xuesen Zhang Shuai Zhang Shuai Yi FedML CVBM 38 14 0 17 May 2021
EasyFL: A Low-code Federated Learning Platform For Dummies Weiming Zhuang Xin Gan Yonggang Wen Shuai Zhang FedML 32 46 0 17 May 2021
Privacy-Preserving Constrained Domain Generalization via Gradient Alignment Chris Xing Tian Haoliang Li Yufei Wang Shiqi Wang 18 4 0 14 May 2021
FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Convergence Analysis Baihe Huang Xiaoxiao Li Zhao Song Xin Yang FedML 36 16 0 11 May 2021
Membership Inference Attacks on Deep Regression Models for Neuroimaging Umang Gupta Dmitris Stripelis Pradeep Lam Paul M. Thompson J. Ambite Greg Ver Steeg MIACV FedML 29 32 0 06 May 2021
FedDPGAN: Federated Differentially Private Generative Adversarial Networks Framework for the Detection of COVID-19 Pneumonia Longling Zhang Bochen Shen A. Barnawi Shan Xi Neeraj Kumar Yi Wu FedML MedIm 83 80 0 26 Apr 2021