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PMFL: Partial Meta-Federated Learning for heterogeneous tasks and its applications on real-world medical records

10 December 2021

Papers citing "PMFL: Partial Meta-Federated Learning for heterogeneous tasks and its applications on real-world medical records"

20 / 20 papers shown

Title
A Meta-Learning Approach for Medical Image Registration Heejung Park Gyeong Min Lee Soopil Kim Gahyung Ryu Areum Jeong Sang Hyun Park Sa-Hee Min 59 12 0 21 Apr 2021
MetaDelta: A Meta-Learning System for Few-shot Image Classification Yudong Chen Chaoyu Guan Zhikun Wei Xin Eric Wang Wenwu Zhu VLM 56 17 0 22 Feb 2021
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 404 1,991 0 11 Apr 2020
Personalized Federated Learning: A Meta-Learning Approach Alireza Fallah Aryan Mokhtari Asuman Ozdaglar FedML 174 573 0 19 Feb 2020
Federated Uncertainty-Aware Learning for Distributed Hospital EHR Data Sabri Boughorbel Fethi Jarray Neethu Venugopal S. Moosa Haithum Elhadi Michel Makhlouf OOD FedML 129 52 0 27 Oct 2019
Meta-Learning with Implicit Gradients Aravind Rajeswaran Chelsea Finn Sham Kakade Sergey Levine 121 858 0 10 Sep 2019
Two-stage Federated Phenotyping and Patient Representation Learning Dianbo Liu Dmitriy Dligach Timothy A. Miller 58 81 0 14 Aug 2019
Patient Clustering Improves Efficiency of Federated Machine Learning to predict mortality and hospital stay time using distributed Electronic Medical Records Li Huang Dianbo Liu OOD FedML 76 371 0 22 Mar 2019
Continual Learning via Neural Pruning Siavash Golkar Michael Kagan Kyunghyun Cho CLL 56 161 0 11 Mar 2019
Federated Machine Learning: Concept and Applications Qiang Yang Yang Liu Tianjian Chen Yongxin Tong FedML 85 2,332 0 13 Feb 2019
MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs Alistair E. W. Johnson Tom Pollard Nathaniel R. Greenbaum M. Lungren Chih-ying Deng Yifan Peng Zhiyong Lu R. Mark Seth Berkowitz Steven Horng MedIm 104 821 0 21 Jan 2019
Meta-Learning: A Survey Joaquin Vanschoren FedML OOD 76 761 0 08 Oct 2018
On First-Order Meta-Learning Algorithms Alex Nichol Joshua Achiam John Schulman 250 2,239 0 08 Mar 2018
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training Chengyue Wu Song Han Huizi Mao Yu Wang W. Dally 155 1,410 0 05 Dec 2017
Lifelong Learning with Dynamically Expandable Networks Jaehong Yoon Eunho Yang Jeongtae Lee Sung Ju Hwang CLL 131 1,231 0 04 Aug 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 835 11,961 0 09 Mar 2017
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 314 4,659 0 18 Oct 2016
Federated Optimization: Distributed Machine Learning for On-Device Intelligence Jakub Konecný H. B. McMahan Daniel Ramage Peter Richtárik FedML 147 1,910 0 08 Oct 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 380 7,343 0 13 Jun 2016
Neural Turing Machines Alex Graves Greg Wayne Ivo Danihelka 115 2,333 0 20 Oct 2014