Title
Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning Yanbiao Ma Wei-Ming Dai Wenke Huang Jiayi Chen 154 0 0 09 Mar 2025
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 106 30,021 0 01 Mar 2022
Lower Bounds and Optimal Algorithms for Personalized Federated Learning Filip Hanzely Slavomír Hanzely Samuel Horváth Peter Richtárik FedML 98 189 0 05 Oct 2020
FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning Hong-You Chen Wei-Lun Chao FedML 37 259 0 04 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 20 164 0 03 Sep 2020
Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization Jianyu Wang Qinghua Liu Hao Liang Gauri Joshi H. Vincent Poor MoMe FedML 38 1,314 0 15 Jul 2020
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation Yingda Xia Ke Wang Zhiding Yu Fengze Liu Jinzheng Cai Lequan Yu Zhuotun Zhu Daguang Xu Alan Yuille H. Roth OOD 31 211 0 28 Jun 2020
DrNAS: Dirichlet Neural Architecture Search Xiangning Chen Ruochen Wang Minhao Cheng Xiaocheng Tang Cho-Jui Hsieh OOD 28 98 0 18 Jun 2020
Personalized Federated Learning with Moreau Envelopes Canh T. Dinh N. H. Tran Tuan Dung Nguyen FedML 48 982 0 16 Jun 2020
Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data Qi Chang Hui Qu Yikai Zhang M. Sabuncu Chao Chen Tong Zhang Dimitris N. Metaxas MedIm 34 78 0 29 May 2020
Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19 F. Shi Jun Wang Jun Shi Zi-xiang Wu Qian Wang Zhenyu Tang Kelei He Yinghuan Shi Dinggang Shen 67 1,057 0 06 Apr 2020
Adaptive Personalized Federated Learning Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 278 549 0 30 Mar 2020
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 231 1,746 0 18 Mar 2020
Federated Learning with Matched Averaging Hongyi Wang Mikhail Yurochkin Yuekai Sun Dimitris Papailiopoulos Y. Khazaeni FedML 89 1,117 0 15 Feb 2020
MS-Net: Multi-Site Network for Improving Prostate Segmentation with Heterogeneous MRI Data Quande Liu Qi Dou Lequan Yu Pheng Ann Heng OOD 92 278 0 09 Feb 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 52 353 0 16 Jan 2020
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 98 6,177 0 10 Dec 2019
Domain Generalization via Model-Agnostic Learning of Semantic Features Qi Dou Daniel Coelho De Castro Konstantinos Kamnitsas Ben Glocker OOD 90 688 0 29 Oct 2019
FedMD: Heterogenous Federated Learning via Model Distillation Daliang Li Junpu Wang FedML 70 845 0 08 Oct 2019
Privacy-preserving Federated Brain Tumour Segmentation Wenqi Li Fausto Milletarì Daguang Xu Nicola Rieke Jonny Hancox ... Maximilian Baust Yan Cheng Sébastien Ourselin M. Jorge Cardoso Andrew Feng FedML 48 475 0 02 Oct 2019
RandAugment: Practical automated data augmentation with a reduced search space E. D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le MQ 174 3,458 0 30 Sep 2019
Federated Learning: Challenges, Methods, and Future Directions Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith FedML 83 4,470 0 21 Aug 2019
On the Convergence of FedAvg on Non-IID Data Xiang Li Kaixuan Huang Wenhao Yang Shusen Wang Zhihua Zhang FedML 123 2,311 0 04 Jul 2019
Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms Xiangyi Chen Tiancong Chen Haoran Sun Zhiwei Steven Wu Mingyi Hong FedML 33 73 0 04 Jun 2019
Progressive Differentiable Architecture Search: Bridging the Depth Gap between Search and Evaluation Xin Chen Lingxi Xie Jun Wu Qi Tian AI4TS MQ 38 660 0 29 Apr 2019
Robust and Communication-Efficient Federated Learning from Non-IID Data Felix Sattler Simon Wiedemann K. Müller Wojciech Samek FedML 41 1,343 0 07 Mar 2019
A large annotated medical image dataset for the development and evaluation of segmentation algorithms Amber L. Simpson Michela Antonelli Spyridon Bakas Michel Bilello Keyvan Farahani ... M. McHugo S. Napel Eugene Vorontsov Lena Maier-Hein M. Jorge Cardoso 71 846 0 25 Feb 2019
Federated Machine Learning: Concept and Applications Qiang Yang Yang Liu Tianjian Chen Yongxin Tong FedML 47 2,297 0 13 Feb 2019
Agnostic Federated Learning M. Mohri Gary Sivek A. Suresh FedML 76 928 0 01 Feb 2019
Federated Optimization in Heterogeneous Networks Tian Li Anit Kumar Sahu Manzil Zaheer Maziar Sanjabi Ameet Talwalkar Virginia Smith FedML 80 5,105 0 14 Dec 2018
Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data Eunjeong Jeong Seungeun Oh Hyesung Kim Jihong Park M. Bennis Seong-Lyun Kim FedML 45 596 0 28 Nov 2018
DARTS: Differentiable Architecture Search Hanxiao Liu Karen Simonyan Yiming Yang 149 4,326 0 24 Jun 2018
Pathwise Derivatives Beyond the Reparameterization Trick M. Jankowiak F. Obermeyer 119 110 0 05 Jun 2018
Federated Learning with Non-IID Data Yue Zhao Meng Li Liangzhen Lai Naveen Suda Damon Civin Vikas Chandra FedML 132 2,547 0 02 Jun 2018
AutoAugment: Learning Augmentation Policies from Data E. D. Cubuk Barret Zoph Dandelion Mané Vijay Vasudevan Quoc V. Le 85 1,764 0 24 May 2018
Implicit Reparameterization Gradients Michael Figurnov S. Mohamed A. Mnih BDL 82 231 0 22 May 2018
Regularized Evolution for Image Classifier Architecture Search Esteban Real A. Aggarwal Yanping Huang Quoc V. Le 117 3,009 0 05 Feb 2018
Genetic CNN Lingxi Xie Alan Yuille 3DV 78 836 0 04 Mar 2017
Designing Neural Network Architectures using Reinforcement Learning Bowen Baker O. Gupta Nikhil Naik Ramesh Raskar 77 1,466 0 07 Nov 2016
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 372 5,346 0 05 Nov 2016
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation Özgün Çiçek Ahmed Abdulkadir S. Lienkamp Thomas Brox Olaf Ronneberger 3DV 3DPC SSeg 3DH 123 6,483 0 21 Jun 2016
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation Fausto Milletari Nassir Navab Seyed-Ahmad Ahmadi 183 8,615 0 15 Jun 2016
Learning to learn by gradient descent by gradient descent Marcin Andrychowicz Misha Denil Sergio Gomez Colmenarejo Matthew W. Hoffman David Pfau Tom Schaul Brendan Shillingford Nando de Freitas 68 2,000 0 14 Jun 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 223 17,235 0 17 Feb 2016
DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation H. Roth Le Lu A. Farag Hoo-Chang Shin Jiamin Liu E. Turkbey Ronald M. Summers SSeg MedIm 45 739 0 22 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 984 76,547 0 18 May 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 622 149,474 0 22 Dec 2014