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"

50 / 88 papers shown

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Federated learning, ethics, and the double black box problem in medical AI Joshua Hatherley Anders Søgaard Angela Ballantyne Ruben Pauwels FedML 58 0 0 29 Apr 2025
Federated Learning Clients Clustering with Adaptation to Data Drifts Minghao Li Dmitrii Avdiukhin Rana Shahout Nikita Ivkin Vladimir Braverman Minlan Yu FedML 31 0 0 03 Nov 2024
Federated scientific machine learning for approximating functions and solving differential equations with data heterogeneity Handi Zhang Langchen Liu Lu Lu FedML 32 1 0 17 Oct 2024
Tailored Federated Learning: Leveraging Direction Regulation & Knowledge Distillation Huidong Tang Chen Li Huachong Yu Sayaka Kamei Yasuhiko Morimoto FedML 28 0 0 29 Sep 2024
FedAD-Bench: A Unified Benchmark for Federated Unsupervised Anomaly Detection in Tabular Data Ahmed Anwar Brian B. Moser Dayananda Herurkar Federico Raue Vinit Hegiste T. Legler Andreas Dengel FedML 40 0 0 08 Aug 2024
Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients Mengmeng Ma Tang Li Xi Peng 86 4 0 06 Jul 2024
Improved Modelling of Federated Datasets using Mixtures-of-Dirichlet-Multinomials Jonathan Scott Áine Cahill FedML 45 0 0 04 Jun 2024
Architectural Blueprint For Heterogeneity-Resilient Federated Learning Satwat Bashir T. Dagiuklas Kasra Kassai Muddesar Iqbal 26 1 0 07 Mar 2024
A Comprehensive Survey of Federated Transfer Learning: Challenges, Methods and Applications Wei Guo Fuzhen Zhuang Xiao Zhang Yiqi Tong Jin Dong FedML 48 15 0 03 Mar 2024
Predicting Traffic Flow with Federated Learning and Graph Neural with Asynchronous Computations Network Muhammad Yaqub Shahzad Ahmad M. A. Manan Imran Shabir Chuhan GNN 14 4 0 05 Jan 2024
Honest Score Client Selection Scheme: Preventing Federated Learning Label Flipping Attacks in Non-IID Scenarios Yanli Li Huaming Chen Wei Bao Zhengmeng Xu Dong Yuan AAML 26 5 0 10 Nov 2023
Benchmarking Collaborative Learning Methods Cost-Effectiveness for Prostate Segmentation Lucia Innocenti Michela Antonelli Francesco Cremonesi Kenaan Sarhan Alejandro Granados Vicky Goh Sebastien Ourselin Marco Lorenzi FedML 26 2 0 29 Sep 2023
REPA: Client Clustering without Training and Data Labels for Improved Federated Learning in Non-IID Settings Boris Radovic Veljko Pejović FedML 32 2 0 25 Sep 2023
Label Propagation Techniques for Artifact Detection in Imbalanced Classes using Photoplethysmogram Signals Clara Macabiau Thanh-Dung Le K. Albert Mana Shahriari P. Jouvet R. Noumeir AI4TS 36 5 0 16 Aug 2023
Machine Learning Applications In Healthcare: The State Of Knowledge and Future Directions Mrinmoy Roy Sarwar J. Minar Porarthi Dhar A. Faruq OOD AI4TS 17 6 0 26 Jul 2023
Privacy-preserving patient clustering for personalized federated learning Ahmed Elhussein Gamze Gursoy FedML OOD 18 8 0 17 Jul 2023
Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives Moming Duan Qinbin Li Linshan Jiang Bingsheng He FedML 34 4 0 05 Jul 2023
Transformers in Healthcare: A Survey Subhash Nerella S. Bandyopadhyay Jiaqing Zhang Miguel Contreras Scott Siegel ... Jessica Sena B. Shickel A. Bihorac Kia Khezeli Parisa Rashidi MedIm AI4CE 21 25 0 30 Jun 2023
Medical Federated Model with Mixture of Personalized and Sharing Components Yawei Zhao Qinghe Liu Xinwang Liu K. He FedML OOD 18 2 0 26 Jun 2023
Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods Raphael Poulain Mirza Farhan Bin Tarek Rahmatollah Beheshti FedML 23 20 0 19 May 2023
Model Pruning Enables Localized and Efficient Federated Learning for Yield Forecasting and Data Sharing An-dong Li Milan Markovic P. Edwards Georgios Leontidis FedML 30 16 0 19 Apr 2023
Federated and distributed learning applications for electronic health records and structured medical data: A scoping review Siqi Li Pinyan Liu G. G. Nascimento Xinru Wang F. Leite ... Daniel Ting Hamed Haddadi M. Ong M. A. Peres Nan Liu 20 11 0 14 Apr 2023
Zero-Knowledge Proof-based Practical Federated Learning on Blockchain Zhibo Xing Zijian Zhang Meng Li Jing Liu Liehuang Zhu Giovanni Russello M. R. Asghar 21 17 0 12 Apr 2023
SLPerf: a Unified Framework for Benchmarking Split Learning Tianchen Zhou Zhanyi Hu Bingzhe Wu Cen Chen FedML 25 4 0 04 Apr 2023
Medical Pathologies Prediction : Systematic Review and Proposed Approach C. Taoussi I. Hafidi A. Metrane OOD 11 0 0 01 Apr 2023
Clustered Federated Learning Architecture for Network Anomaly Detection in Large Scale Heterogeneous IoT Networks Xabier Sáez-de-Cámara Jose Luis Flores Cristóbal Arellano A. Urbieta Urko Zurutuza 32 55 0 28 Mar 2023
A Generalized Look at Federated Learning: Survey and Perspectives Taki Hasan Rafi Faiza Anan Noor Tahmid Hussain Dong-Kyu Chae Zhaohui Yang OOD FedML 42 0 0 26 Mar 2023
A Survey on Class Imbalance in Federated Learning Jing Zhang Chuanwen Li Jianzgong Qi Jiayuan He FedML 47 13 0 21 Mar 2023
Federated attention consistent learning models for prostate cancer diagnosis and Gleason grading Fei Kong Xiyue Wang Jin-Peng Xiang Sen Yang Xinran Wang ... Xiao Han Yuhan Dong Biyue Zhu Fang Wang Yueping Liu MedIm 40 6 0 13 Feb 2023
SuperFedNAS: Cost-Efficient Federated Neural Architecture Search for On-Device Inference Alind Khare A. Agrawal Aditya Annavajjala Payman Behnam Myungjin Lee Hugo Latapie Alexey Tumanov FedML 13 2 0 26 Jan 2023
Federated Learning -- Methods, Applications and beyond Moritz Heusinger Christoph Raab Fabrice Rossi Frank-Michael Schleif FedML OOD 18 5 0 22 Dec 2022
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges Enrique Tomás Martínez Beltrán Mario Quiles Pérez Pedro Miguel Sánchez Sánchez Sergio López Bernal Gérome Bovet M. Pérez Gregorio Martínez Pérez Alberto Huertas Celdrán FedML 40 223 0 15 Nov 2022
Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges Madhura Joshi Ankit Pal Malaikannan Sankarasubbu OOD AI4CE FedML 25 93 0 15 Nov 2022
Universal EHR Federated Learning Framework Junu Kim Kyunghoon Hur Seongjun Yang Edward Choi FedML 21 2 0 14 Nov 2022
De-Identification of French Unstructured Clinical Notes for Machine Learning Tasks Yakini Tchouka Jean-François Couchot Maxime Coulmeau David Laiymani Philippe Selles Azzedine Rahmani OOD 19 5 0 16 Sep 2022
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions A. Rauniyar D. Hagos Debesh Jha J. E. Haakegaard Ulas Bagci D. Rawat Vladimir Vlassov OOD 46 90 0 05 Aug 2022
Towards the Practical Utility of Federated Learning in the Medical Domain Seongjun Yang Hyeonji Hwang Daeyoung Kim Radhika Dua Jong-Yeup Kim Eunho Yang Edward Choi FedML OOD 21 16 0 07 Jul 2022
Federated Momentum Contrastive Clustering Runxuan Miao Erdem Koyuncu FedML 30 13 0 10 Jun 2022
Federated learning: Applications, challenges and future directions Subrato Bharati Hossain Mondal Prajoy Podder V. B. Surya Prasath FedML 39 53 0 18 May 2022
Personalized Federated Learning with Multiple Known Clusters Boxiang Lyu Filip Hanzely Mladen Kolar FedML 30 3 0 28 Apr 2022
Federated Learning in Multi-Center Critical Care Research: A Systematic Case Study using the eICU Database Arash Mehrjou Ashkan Soleymani Annika Buchholz J. Hetzel Patrick Schwab Stefan Bauer OOD FedML 17 4 0 20 Apr 2022
Securing Federated Sensitive Topic Classification against Poisoning Attacks Tianyue Chu Álvaro García-Recuero Costas Iordanou Georgios Smaragdakis Nikolaos Laoutaris 41 9 0 31 Jan 2022
Empirical Evaluation of Deep Learning Models for Knowledge Tracing: Of Hyperparameters and Metrics on Performance and Replicability Sami Sarsa Juho Leinonen Arto Hellas 19 13 0 30 Dec 2021
APRIL: Finding the Achilles' Heel on Privacy for Vision Transformers Jiahao Lu Xi Sheryl Zhang Tianli Zhao Xiangyu He Jian Cheng ViT PILM 25 22 0 28 Dec 2021
LoSAC: An Efficient Local Stochastic Average Control Method for Federated Optimization Huiming Chen Huandong Wang Quanming Yao Yong Li Depeng Jin Qiang Yang FedML 24 4 0 15 Dec 2021
FedSoft: Soft Clustered Federated Learning with Proximal Local Updating Yichen Ruan Carlee Joe-Wong FedML 29 87 0 11 Dec 2021
PMFL: Partial Meta-Federated Learning for heterogeneous tasks and its applications on real-world medical records Tianyi Zhang Shirui Zhang Ziwei Chen Dianbo Liu FedML 28 4 0 10 Dec 2021
An Optimization Framework for Federated Edge Learning Yangchen Li Ying Cui Vincent K. N. Lau FedML 11 7 0 26 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 19 513 0 16 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