Title
Reward Systems for Trustworthy Medical Federated LearningACM Transactions on Computing for Healthcare (TCH), 2022 Konstantin D. Pandl Florian Leiser Scott Thiebes Ali Sunyaev OOD FedML 238 8 0 01 May 2022
Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient EnsemblingConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Kiyoon Yoo Nojun Kwak SILM AAML FedML 138 25 0 29 Apr 2022
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 164 3 0 25 Apr 2022
Homomorphic Encryption and Federated Learning based Privacy-Preserving CNN Training: COVID-19 Detection Use-CaseEuropean Interdisciplinary Cybersecurity Conference (IC), 2022 Febrianti Wibawa Ferhat Ozgur Catak S. Sarp Murat Kuzlu Umit Cali FedML 135 97 0 16 Apr 2022
Multi-Task Distributed Learning using Vision Transformer with Random Patch PermutationIEEE Transactions on Medical Imaging (IEEE TMI), 2022 Sangjoon Park Jong Chul Ye FedML MedIm 166 23 0 07 Apr 2022
Federated Cross Learning for Medical Image SegmentationInternational Conference on Medical Imaging with Deep Learning (MIDL), 2022 Xuanang Xu H. Deng Tianyi Chen Tianshu Kuang J. C. Barber Daeseung Kim J. Gateno J. Xia Pingkun Yan FedML OOD 197 24 0 05 Apr 2022
Improving Generalization in Federated Learning by Seeking Flat MinimaEuropean Conference on Computer Vision (ECCV), 2022 Debora Caldarola Barbara Caputo Marco Ciccone FedML 337 136 0 22 Mar 2022
Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive SurveyIEEE journal of biomedical and health informatics (IEEE JBHI), 2022 Mansoor Ali F. Naeem M. Tariq Georges Kaddoum 220 184 0 18 Mar 2022
FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous DrivingIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022 Lidia Fantauzzo Eros Fani Debora Caldarola A. Tavera Fabio Cermelli Marco Ciccone Barbara Caputo FedML 224 62 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 138 5 0 16 Feb 2022
Do Gradient Inversion Attacks Make Federated Learning Unsafe?IEEE Transactions on Medical Imaging (IEEE TMI), 2022 Ali Hatamizadeh Hongxu Yin Pavlo Molchanov Andriy Myronenko Wenqi Li ... Andrew Feng Mona G. Flores Jan Kautz Daguang Xu H. Roth FedML 196 99 0 14 Feb 2022
Federated Learning of Generative Image Priors for MRI ReconstructionIEEE Transactions on Medical Imaging (IEEE TMI), 2022 Gokberk Elmas S. Dar Yilmaz Korkmaz Emir Ceyani Burak Susam Muzaffer Özbey Salman Avestimehr Tolga cCukur FedML MedIm AI4CE 297 110 0 08 Feb 2022
Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language ModelsInternational Conference on Learning Representations (ICLR), 2022 Liam H. Fowl Jonas Geiping Steven Reich Yuxin Wen Wojtek Czaja Micah Goldblum Tom Goldstein FedML 259 69 0 29 Jan 2022
Modality Bank: Learn multi-modality images across data centers without sharing medical dataAnnual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2022 Qi Chang Hui Qu Zhennan Yan Yunhe Gao L. Baskaran Dimitris N. Metaxas MedIm 145 5 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 181 30 0 20 Jan 2022
FedBalancer: Data and Pace Control for Efficient Federated Learning on Heterogeneous ClientsACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services (MobiSys), 2022 Jaemin Shin Yuanchun Li Yunxin Liu Sung-Ju Lee FedML 234 99 0 05 Jan 2022
FedNI: Federated Graph Learning with Network Inpainting for Population-Based Disease PredictionIEEE Transactions on Medical Imaging (IEEE TMI), 2021 Liang Peng Nan Wang Nicha Dvornek Xiaofeng Zhu Xiaoxiao Li FedML AI4CE 238 94 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 137 33 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 328 95 0 09 Dec 2021
On Convergence of Federated Averaging Langevin Dynamics Wei Deng Qian Zhang Yi-An Ma Zhao Song Guang Lin FedML 334 17 0 09 Dec 2021
Collaborative Learning over Wireless Networks: An Introductory Overview Emre Ozfatura Deniz Gunduz H. Vincent Poor 140 12 0 07 Dec 2021
SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Clients in Federated LearningInternational Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2021 Sixing Yu P. Nguyen Waqwoya Abebe Wei Qian Ali Anwar Ali Jannesari FedML 249 24 0 29 Nov 2021
FedDropoutAvg: Generalizable federated learning for histopathology image classification G. N. Gunesli M. Bilal S. Raza Nasir M. Rajpoot FedML OOD 138 22 0 25 Nov 2021
Decentralized Federated Learning through Proxy Model SharingNature Communications (Nat Commun), 2021 Shivam Kalra Junfeng Wen Jesse C. Cresswell Anthony L. Caterini Hamid R. Tizhoosh FedML 259 144 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 194 79 0 22 Nov 2021
Federated Learning for Smart Healthcare: A Survey Dinh C. Nguyen Quoc-Viet Pham P. Pathirana Ming Ding Aruna Seneviratne Zihuai Lin O. Dobre Won Joo Hwang FedML 222 717 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 LearningIEEE Access (IEEE Access), 2021 Raed Al Kontar Naichen Shi Xubo Yue Seokhyun Chung E. Byon ... Chinedum Okwudire Garvesh Raskutti R. Saigal Karandeep Singh Ye Zhisheng FedML 252 57 0 09 Nov 2021
Resource-Efficient Federated LearningEuropean Conference on Computer Systems (EuroSys), 2021 A. Abdelmoniem Atal Narayan Sahu Marco Canini Suhaib A. Fahmy FedML 229 68 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 278 53 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 127 0 0 24 Sep 2021
Federated Contrastive Learning for Decentralized Unlabeled Medical Images Nanqing Dong Irina Voiculescu FedML 146 73 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 126 55 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 210 46 0 19 Aug 2021
Collaborative Unsupervised Visual Representation Learning from Decentralized DataIEEE International Conference on Computer Vision (ICCV), 2021 Weiming Zhuang Xin Gan Yonggang Wen Shuai Zhang Shuai Yi FedML 185 113 0 14 Aug 2021
PRECODE - A Generic Model Extension to Prevent Deep Gradient LeakageIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021 Daniel Scheliga Patrick Mäder M. Seeland MIACV 179 41 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 321 56 0 20 Jul 2021
Federated Whole Prostate Segmentation in MRI with Personalized Neural ArchitecturesInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021 H. Roth Dong Yang Wenqi Li Andriy Myronenko Wentao Zhu Ziyue Xu Xiaosong Wang Daguang Xu FedML 190 28 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 183 61 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 161 91 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 147 28 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 185 103 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 217 24 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 229 90 0 16 Jun 2021
Heterogeneous Federated Learning using Dynamic Model Pruning and Adaptive GradientIEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 2021 Sixing Yu P. Nguyen Ali Anwar Ali Jannesari 130 13 0 13 Jun 2021
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and FutureItalian National Conference on Sensors (INS), 2021 David Ahmedt-Aristizabal M. Armin Akila Pemasiri Clinton Fookes L. Petersson 207 223 0 27 May 2021
FedScale: Benchmarking Model and System Performance of Federated Learning at ScaleInternational Conference on Machine Learning (ICML), 2021 Fan Lai Yinwei Dai Sanjay Sri Vallabh Singapuram Jiachen Liu Xiangfeng Zhu H. Madhyastha Mosharaf Chowdhury FedML 464 250 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 208 15 0 17 May 2021
EasyFL: A Low-code Federated Learning Platform For DummiesIEEE Internet of Things Journal (IEEE IoT Journal), 2021 Weiming Zhuang Xin Gan Yonggang Wen Shuai Zhang FedML 195 54 0 17 May 2021
Privacy-Preserving Constrained Domain Generalization via Gradient AlignmentIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021 Chris Xing Tian Haoliang Li Yufei Wang Shiqi Wang 212 7 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 143 16 0 11 May 2021