Patient Clustering Improves Efficiency of Federated Machine Learning to predict mortality and hospital stay time using distributed Electronic Medical Records

22 March 2019

Papers citing "Patient Clustering Improves Efficiency of Federated Machine Learning to predict mortality and hospital stay time using distributed Electronic Medical Records"

38 / 88 papers shown

Title
Aggregation Delayed Federated Learning Ye Xue Diego Klabjan Yuan Luo FedML OOD 28 5 0 17 Aug 2021
Federated Learning Meets Natural Language Processing: A Survey Ming Liu Stella Ho Mengqi Wang Longxiang Gao Yuan Jin Heng Zhang FedML 30 67 0 27 Jul 2021
Federated Self-Training for Semi-Supervised Audio Recognition Vasileios Tsouvalas Aaqib Saeed T. Ozcelebi FedML 42 15 0 14 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 45 41 0 07 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 33 86 0 06 Jul 2021
FLRA: A Reference Architecture for Federated Learning Systems Sin Kit Lo Qinghua Lu Hye-Young Paik Liming Zhu FedML AI4CE 47 24 0 22 Jun 2021
Secure Distributed Training at Scale Eduard A. Gorbunov Alexander Borzunov Michael Diskin Max Ryabinin FedML 26 15 0 21 Jun 2021
Predictive Modeling of Hospital Readmission: Challenges and Solutions Shuwen Wang Xingquan Zhu OOD 26 25 0 16 Jun 2021
Federated Multi-View Learning for Private Medical Data Integration and Analysis Sicong Che Hao Peng Lichao Sun Yong Chen Lifang He FedML 63 40 0 04 May 2021
Blockchain based Privacy-Preserved Federated Learning for Medical Images: A Case Study of COVID-19 CT Scans Rajesh Kumar Wenyong Wang Cheng Yuan Jay Kumar Zakria He Qing Ting Yang A. Khan OOD FedML 8 8 0 22 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 25 44 0 21 Apr 2021
Evaluation and Optimization of Distributed Machine Learning Techniques for Internet of Things Yansong Gao Minki Kim Chandra Thapa Sharif Abuadbba Zhi-Li Zhang S. Çamtepe Hyoungshick Kim Surya Nepal 30 59 0 03 Mar 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 209 846 0 01 Mar 2021
Failure Prediction in Production Line Based on Federated Learning: An Empirical Study Ning Ge Guanghao Li Li Zhang Yi Liu FedML 29 45 0 25 Jan 2021
FedNS: Improving Federated Learning for collaborative image classification on mobile clients Yaoxin Zhuo Baoxin Li FedML 19 14 0 20 Jan 2021
Architectural Patterns for the Design of Federated Learning Systems Sin Kit Lo Qinghua Lu Liming Zhu Hye-Young Paik Xiwei Xu Chen Wang FedML AI4CE 23 64 0 07 Jan 2021
Fidel: Reconstructing Private Training Samples from Weight Updates in Federated Learning David Enthoven Zaid Al-Ars FedML 57 14 0 01 Jan 2021
Dynamic Clustering in Federated Learning Yeongwoo Kim Ezeddin Al Hakim Johan Haraldson Henrik Eriksson J. M. B. D. Silva Carlo Fischione 8 56 0 07 Dec 2020
A Systematic Literature Review on Federated Learning: From A Model Quality Perspective Yi Liu Li Zhang Ning Ge Guanghao Li FedML 36 22 0 01 Dec 2020
CROCS: Clustering and Retrieval of Cardiac Signals Based on Patient Disease Class, Sex, and Age Dani Kiyasseh T. Zhu David A. Clifton 25 9 0 28 Nov 2020
Voting-based Approaches For Differentially Private Federated Learning Yuqing Zhu Xiang Yu Yi-Hsuan Tsai Francesco Pittaluga M. Faraki Manmohan Chandraker Yu-Xiang Wang FedML 29 21 0 09 Oct 2020
FedSmart: An Auto Updating Federated Learning Optimization Mechanism Anxun He Jianzong Wang Zhangcheng Huang Jing Xiao FedML 17 10 0 16 Sep 2020
Precision Health Data: Requirements, Challenges and Existing Techniques for Data Security and Privacy Chandra Thapa S. Çamtepe 14 202 0 24 Aug 2020
Inverse Distance Aggregation for Federated Learning with Non-IID Data Yousef Yeganeh Azade Farshad Nassir Navab Shadi Albarqouni OOD 22 81 0 17 Aug 2020
A Visual Analytics Framework for Reviewing Multivariate Time-Series Data with Dimensionality Reduction Takanori Fujiwara Shilpika Shilpika Naohisa Sakamoto J. Nonaka Keiji Yamamoto K. Ma AI4TS 22 36 0 02 Aug 2020
Federated Visualization: A Privacy-preserving Strategy for Aggregated Visual Query Wei Chen Yating Wei Zhiyong Wang Shuyue Zhou Bingru Lin Zhiguang Zhou FedML 14 3 0 30 Jul 2020
A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective Sin Kit Lo Qinghua Lu Chen Wang Hye-Young Paik Liming Zhu FedML 48 83 0 22 Jul 2020
Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing Jed Mills Jia Hu Geyong Min FedML 31 194 0 17 Jul 2020
ArchNet: Data Hiding Model in Distributed Machine Learning System Kaiyan Chang Wei Jiang Xiangyu Wen Zicheng Gong Weijia Pan FedML 16 0 0 23 Apr 2020
An Overview of Federated Deep Learning Privacy Attacks and Defensive Strategies David Enthoven Zaid Al-Ars FedML 60 50 0 01 Apr 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 174 1,709 0 18 Mar 2020
Device Heterogeneity in Federated Learning: A Superquantile Approach Yassine Laguel Krishna Pillutla J. Malick Zaïd Harchaoui FedML 40 22 0 25 Feb 2020
Comparative Visual Analytics for Assessing Medical Records with Sequence Embedding Rongchen Guo Takanori Fujiwara Yiran Li K. Lima S. Sen N. Tran K. Ma 14 31 0 18 Feb 2020
Robust Aggregation for Federated Learning Krishna Pillutla Sham Kakade Zaïd Harchaoui FedML 37 629 0 31 Dec 2019
Privacy-preserving Federated Bayesian Learning of a Generative Model for Imbalanced Classification of Clinical Data S. Hahn Junghye Lee FedML 14 5 0 18 Oct 2019
Federated Learning: Challenges, Methods, and Future Directions Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith FedML 72 4,421 0 21 Aug 2019
Two-stage Federated Phenotyping and Patient Representation Learning Dianbo Liu Dmitriy Dligach Timothy A. Miller 21 79 0 14 Aug 2019
LoAdaBoost: loss-based AdaBoost federated machine learning with reduced computational complexity on IID and non-IID intensive care data Li Huang Yifeng Yin Z. Fu Shifa Zhang Hao Deng Dianbo Liu FedML 37 70 0 30 Nov 2018