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Federated Learning in Healthcare: Model Misconducts, Security,
  Challenges, Applications, and Future Research Directions -- A Systematic
  Review

Federated Learning in Healthcare: Model Misconducts, Security, Challenges, Applications, and Future Research Directions -- A Systematic Review

22 May 2024
Md. Shahin Ali
M. Ahsan
Lamia Tasnim
Sadia Afrin
Koushik Biswas
Maruf Md. Sajjad Hossain
Md Mahfuz Ahmed
Ronok Hashan
Md. Khairul Islam
Shivakumar Raman
ArXivPDFHTML

Papers citing "Federated Learning in Healthcare: Model Misconducts, Security, Challenges, Applications, and Future Research Directions -- A Systematic Review"

12 / 12 papers shown
Title
FedStack: Personalized activity monitoring using stacked federated
  learning
FedStack: Personalized activity monitoring using stacked federated learning
T. Shaik
Xiaohui Tao
Niall Higgins
R. Gururajan
Yuefeng Li
Xujuan Zhou
Usha R. Acharya
FedML
32
61
0
27 Sep 2022
FedDAR: Federated Domain-Aware Representation Learning
FedDAR: Federated Domain-Aware Representation Learning
Aoxiao Zhong
Hao He
Zhaolin Ren
Na Li
Quanzheng Li
OOD
AI4CE
29
9
0
08 Sep 2022
The Internet of Federated Things (IoFT): A Vision for the Future and
  In-depth Survey of Data-driven Approaches for Federated Learning
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning
Raed Al Kontar
Naichen Shi
Xubo Yue
Seokhyun Chung
E. Byon
...
C. Okwudire
Garvesh Raskutti
R. Saigal
Karandeep Singh
Ye Zhisheng
FedML
38
50
0
09 Nov 2021
Federated Learning in ASR: Not as Easy as You Think
Federated Learning in ASR: Not as Easy as You Think
Wentao Yu
J. Freiwald
Soren Tewes
F. Huennemeyer
D. Kolossa
FedML
27
17
0
30 Sep 2021
A New Look and Convergence Rate of Federated Multi-Task Learning with
  Laplacian Regularization
A New Look and Convergence Rate of Federated Multi-Task Learning with Laplacian Regularization
Canh T. Dinh
Thanh Tung Vu
N. H. Tran
Minh N. Dao
Hongyu Zhang
FedML
65
40
0
14 Feb 2021
Federated Learning on Non-IID Data Silos: An Experimental Study
Federated Learning on Non-IID Data Silos: An Experimental Study
Yue Liu
Yiqun Diao
Quan Chen
Bingsheng He
FedML
OOD
92
946
0
03 Feb 2021
Federated Learning: Opportunities and Challenges
Federated Learning: Opportunities and Challenges
P. Mammen
FedML
48
211
0
14 Jan 2021
GraphFL: A Federated Learning Framework for Semi-Supervised Node
  Classification on Graphs
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs
Binghui Wang
Ang Li
H. Li
Yiran Chen
88
115
0
08 Dec 2020
FedML: A Research Library and Benchmark for Federated Machine Learning
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
168
564
0
27 Jul 2020
The Future of Digital Health with Federated Learning
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
1,707
0
18 Mar 2020
Threats to Federated Learning: A Survey
Threats to Federated Learning: A Survey
Lingjuan Lyu
Han Yu
Qiang Yang
FedML
202
434
0
04 Mar 2020
Adaptive Federated Learning in Resource Constrained Edge Computing
  Systems
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang
Tiffany Tuor
Theodoros Salonidis
K. Leung
C. Makaya
T. He
Kevin S. Chan
144
1,687
0
14 Apr 2018
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