Title
Membership Inference Attacks on Deep Regression Models for NeuroimagingInternational Conference on Medical Imaging with Deep Learning (MIDL), 2021 Umang Gupta Dmitris Stripelis Pradeep Lam Paul M. Thompson J. Ambite Greg Ver Steeg MIACV FedML 184 45 0 06 May 2021
FedDPGAN: Federated Differentially Private Generative Adversarial Networks Framework for the Detection of COVID-19 PneumoniaInformation Systems Frontiers (ISF), 2021 Longling Zhang Bochen Shen A. Barnawi Shan Xi Neeraj Kumar Yi Wu FedML MedIm 255 93 0 26 Apr 2021
A Survey on Federated Learning and its Applications for Accelerating Industrial Internet of Things Jiehan Zhou Shouhua Zhang Qinghua Lu W. Dai Min Chen Xin Liu Susanna Pirttikangas Yang Shi Weishan Zhang E. Herrera-Viedma FedML AI4CE 195 53 0 21 Apr 2021
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation Yingda Xia Dong Yang Wenqi Li Andriy Myronenko Daguang Xu ... Elvira Stellato G. Carrafiello A. Ierardi Alan Yuille H. Roth OOD FedML 165 53 0 20 Apr 2021
Vulnerability Due to Training Order in Split Learning Harshit Madaan M. Gawali V. Kulkarni Aniruddha Pant FedML 168 8 0 26 Mar 2021
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency SpaceComputer Vision and Pattern Recognition (CVPR), 2021 Quande Liu Cheng Chen J. Qin Qi Dou Pheng-Ann Heng OOD FedML 369 534 0 10 Mar 2021
FedDis: Disentangled Federated Learning for Unsupervised Brain Pathology Segmentation Cosmin I. Bercea Benedikt Wiestler Daniel Rueckert Shadi Albarqouni FedML OOD 121 40 0 05 Mar 2021
Semi-Supervised Federated Peer Learning for Skin Lesion ClassificationMachine Learning for Biomedical Imaging (MLBI), 2021 T. Bdair Nassir Navab Shadi Albarqouni FedML 222 15 0 05 Mar 2021
Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable DevicesNeural Information Processing Systems (NeurIPS), 2021 Max Ryabinin Eduard A. Gorbunov Vsevolod Plokhotnyuk Gennady Pekhimenko 328 43 0 04 Mar 2021
Multi-institutional Collaborations for Improving Deep Learning-based Magnetic Resonance Image Reconstruction Using Federated LearningComputer Vision and Pattern Recognition (CVPR), 2021 Pengfei Guo Puyang Wang Jinyuan Zhou Shanshan Jiang Vishal M. Patel FedML OOD 232 160 0 03 Mar 2021
Scaling Neuroscience Research using Federated LearningIEEE International Symposium on Biomedical Imaging (ISBI), 2021 Dimitris Stripelis J. Ambite Pradeep Lam Paul M. Thompson FedML 145 32 0 16 Feb 2021
Semi-Synchronous Federated Learning for Energy-Efficient Training and Accelerated Convergence in Cross-Silo SettingsACM Transactions on Intelligent Systems and Technology (ACM TIST), 2021 Dimitris Stripelis J. Ambite FedML 194 47 0 04 Feb 2021
Federated Multi-Armed BanditsAAAI Conference on Artificial Intelligence (AAAI), 2021 Chengshuai Shi Cong Shen FedML 241 109 0 28 Jan 2021
Dopamine: Differentially Private Federated Learning on Medical Data Mohammad Malekzadeh Burak Hasircioglu N. Mital K. Katarya M. E. Ozfatura Deniz Gündüz OOD FedML 223 59 0 27 Jan 2021
Failure Prediction in Production Line Based on Federated Learning: An Empirical StudyJournal of Intelligent Manufacturing (J Intell Manuf), 2021 Ning Ge Guanghao Li Li Zhang Yi Liu FedML 194 49 0 25 Jan 2021
Time-Correlated Sparsification for Communication-Efficient Federated LearningInternational Symposium on Information Theory (ISIT), 2021 Emre Ozfatura Kerem Ozfatura Deniz Gunduz FedML 164 54 0 21 Jan 2021
Comparison of Privacy-Preserving Distributed Deep Learning Methods in HealthcareAnnual Conference on Medical Image Understanding and Analysis (MIUA), 2020 M. Gawali S. ArvindC. Shriya Suryavanshi Harshit Madaan A. Gaikwad KN BhanuPrakash V. Kulkarni Aniruddha Pant FedML 181 38 0 23 Dec 2020
FedADC: Accelerated Federated Learning with Drift ControlInternational Symposium on Information Theory (ISIT), 2020 Emre Ozfatura Kerem Ozfatura Deniz Gunduz FedML 394 46 0 16 Dec 2020
A Systematic Literature Review on Federated Learning: From A Model Quality Perspective Yi Liu Li Zhang Ning Ge Guanghao Li FedML 179 31 0 01 Dec 2020
Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, JapanMedical Image Analysis (MedIA), 2020 Dong Yang Ziyue Xu Wenqi Li Andriy Myronenko H. Roth ... Hitoshi Mori K. Tamura P. An Bradford J. Wood Daguang Xu OOD FedML 255 70 0 23 Nov 2020
Dynamic backdoor attacks against federated learning Anbu Huang AAML FedML 105 22 0 15 Nov 2020
Surgical Data Science -- from Concepts toward Clinical Translation Lena Maier-Hein Matthias Eisenmann Duygu Sarikaya Keno Marz Toby Collins ... D. Teber F. Uckert Beat P. Müller-Stich Pierre Jannin Stefanie Speidel AI4CE 158 268 0 30 Oct 2020
Oort: Efficient Federated Learning via Guided Participant Selection Fan Lai Xiangfeng Zhu H. Madhyastha Mosharaf Chowdhury FedML OODD 428 312 0 12 Oct 2020
Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning Pochuan Wang Chen Shen H. Roth Dong Yang Daguang Xu ... Po-Ting Chen Kao-Lang Liu Wei-Chih Liao Weichung Wang K. Mori FedML OOD 162 33 0 28 Sep 2020
Federated Learning for Computational Pathology on Gigapixel Whole Slide Images Ming Y. Lu Dehan Kong Jana Lipkova Richard J. Chen Rajendra Singh Drew F. K. Williamson Tiffany Y. Chen Faisal Mahmood FedML MedIm 243 206 0 21 Sep 2020
Robust Aggregation for Adaptive Privacy Preserving Federated Learning in Healthcare Matei Grama M. Mușat Luis Muñoz-González Jonathan Passerat-Palmbach Daniel Rueckert A. Alansary OOD FedML 148 55 0 17 Sep 2020
Federated Learning for Breast Density Classification: A Real-World Implementation H. Roth Ken Chang Praveer Singh N. Neumark Wenqi Li ... I. Dayan R. Naidu Mona G. Flores D. Rubin Jayashree Kalpathy-Cramer OOD FedML AI4CE 166 189 0 03 Sep 2020
POSEIDON: Privacy-Preserving Federated Neural Network LearningNetwork and Distributed System Security Symposium (NDSS), 2020 Sinem Sav Apostolos Pyrgelis J. Troncoso-Pastoriza D. Froelicher Jean-Philippe Bossuat João Sá Sousa Jean-Pierre Hubaux FedML 202 170 0 01 Sep 2020
Adaptive Distillation for Decentralized Learning from Heterogeneous Clients Jiaxin Ma Ryo Yonetani Z. Iqbal FedML 147 14 0 18 Aug 2020
Inverse Distance Aggregation for Federated Learning with Non-IID Data Yousef Yeganeh Azade Farshad Nassir Navab Shadi Albarqouni OOD 138 99 0 17 Aug 2020
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promisesProceedings of the IEEE (Proc. IEEE), 2020 S. Kevin Zhou H. Greenspan Christos Davatzikos James S. Duncan Bram van Ginneken A. Madabhushi Jerry L. Prince Daniel Rueckert Ronald M. Summers 376 801 0 02 Aug 2020
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He Songze Li Jinhyun So Xiao Zeng Mi Zhang ... Yang Liu Ramesh Raskar Qiang Yang M. Annavaram Salman Avestimehr FedML 504 649 0 27 Jul 2020
Privacy-preserving Artificial Intelligence Techniques in Biomedicine Reihaneh Torkzadehmahani Reza Nasirigerdeh David B. Blumenthal T. Kacprowski M. List ... Harald H. H. W. Schmidt A. Schwalber Christof Tschohl Andrea Wohner Jan Baumbach 261 78 0 22 Jul 2020
FedOCR: Communication-Efficient Federated Learning for Scene Text Recognition Wenqing Zhang Yang Qiu S. Bai Rui Zhang Xiaolin K. Wei X. Bai FedML 131 3 0 22 Jul 2020
Deep Learning Based Brain Tumor Segmentation: A SurveyComplex & Intelligent Systems (CIS), 2020 Zhihua Liu Lei Tong Zheheng Jiang Long Chen Feixiang Zhou Qianni Zhang Xiangrong Zhang Ling Li Huiyu Zhou 3DV 255 286 0 18 Jul 2020
Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention Ce Ju Ruihui Zhao Jichao Sun Xiguang Wei Bo Zhao ... Dashan Gao Ben Tan Han Yu Chuning He Yuan Jin FedML OOD 153 35 0 15 Jun 2020
Scalable Privacy-Preserving Distributed Learning D. Froelicher J. Troncoso-Pastoriza Apostolos Pyrgelis Sinem Sav João Sá Sousa Jean-Philippe Bossuat Jean-Pierre Hubaux FedML 194 73 0 19 May 2020
Have you forgotten? A method to assess if machine learning models have forgotten data Xiao Liu Sotirios A. Tsaftaris FedML OOD MU 104 27 0 21 Apr 2020
Decentralized Differentially Private Segmentation with PATE Dominik Fay Jens Sjölund T. Oechtering FedML 64 7 0 10 Apr 2020
The Future of Digital Health with Federated Learningnpj Digital Medicine (NPJ Digit Med), 2020 Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 415 2,236 0 18 Mar 2020
Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE Results Xiaoxiao Li Yufeng Gu Nicha Dvornek Lawrence H. Staib P. Ventola James S. Duncan FedML OOD 308 419 0 16 Jan 2020
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and ProtectionIEEE Transactions on Knowledge and Data Engineering (TKDE), 2019 Yue Liu Zeyi Wen Zhaomin Wu Sixu Hu Naibo Wang Yuan N. Li Xu Liu Bingsheng He FedML 434 1,240 0 23 Jul 2019
Difficulty-aware Meta-learning for Rare Disease DiagnosisInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019 Xuelong Li Lequan Yu Yueming Jin Chi-Wing Fu Lei Xing Pheng-Ann Heng 209 68 0 30 Jun 2019