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A Systematic Literature Review on Federated Learning: From A Model
  Quality Perspective

A Systematic Literature Review on Federated Learning: From A Model Quality Perspective

1 December 2020
Yi Liu
Li Zhang
Ning Ge
Guanghao Li
    FedML
ArXiv (abs)PDFHTML

Papers citing "A Systematic Literature Review on Federated Learning: From A Model Quality Perspective"

13 / 13 papers shown
Differential Privacy in Federated Learning: Mitigating Inference Attacks with Randomized Response
Differential Privacy in Federated Learning: Mitigating Inference Attacks with Randomized Response
Ozer Ozturk
Busra Buyuktanir
Gozde Karatas Baydogmus
Kazim Yildiz
155
2
0
17 Sep 2025
A Service-Oriented Adaptive Hierarchical Incentive Mechanism for Federated Learning
A Service-Oriented Adaptive Hierarchical Incentive Mechanism for Federated Learning
Jiaxing Cao
Yuzhou Gao
Jiwei Huang
FedML
111
0
0
03 Sep 2025
MedSegNet10: A Publicly Accessible Network Repository for Split Federated Medical Image Segmentation
MedSegNet10: A Publicly Accessible Network Repository for Split Federated Medical Image Segmentation
C. Shiranthika
Zahra Hafezi Kafshgari
Hadi Hadizadeh
Parvaneh Saeedi
FedML
366
1
0
01 Jul 2025
Federated Incomplete Multi-view Clustering with Globally Fused Graph Guidance
Federated Incomplete Multi-view Clustering with Globally Fused Graph Guidance
Guoqing Chao
Zhenghao Zhang
Lei Meng
Jie Wen
Dianhui Chu
FedML
167
0
0
30 May 2025
Privacy-preserving federated prediction of pain intensity change based
  on multi-center survey data
Privacy-preserving federated prediction of pain intensity change based on multi-center survey data
Supratim Das
Mahdie Rafie
Paula Kammer
S. Skou
D. T. Grønne
...
Hans-Helmut Konig
Md Shihab Ullaha
Niklas Probul
Jan Baumbacha
L. Baumbach
OODFedML
190
0
0
12 Sep 2024
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
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
255
29
0
22 May 2024
A review of federated learning in renewable energy applications:
  Potential, challenges, and future directions
A review of federated learning in renewable energy applications: Potential, challenges, and future directions
Albin Grataloup
Stefan Jonas
Angela Meyer
323
12
0
18 Dec 2023
Federated Deep Multi-View Clustering with Global Self-Supervision
Federated Deep Multi-View Clustering with Global Self-SupervisionACM Multimedia (ACM MM), 2023
Xinyue Chen
Jie Xu
Yazhou Ren
X. Pu
Ce Zhu
Xiao-lan Zhu
Zhifeng Hao
Lifang He
FedML
332
29
0
24 Sep 2023
A Systematic Literature Review on Client Selection in Federated Learning
A Systematic Literature Review on Client Selection in Federated LearningInternational Conference on Evaluation & Assessment in Software Engineering (EASE), 2023
Carl Smestad
Jingyue Li
256
35
0
08 Jun 2023
Trustworthy Federated Learning: A Survey
Trustworthy Federated Learning: A Survey
A. Tariq
M. Serhani
F. Sallabi
Tariq Qayyum
E. Barka
K. Shuaib
FedML
326
18
0
19 May 2023
Federated Learning for Energy Constrained IoT devices: A systematic
  mapping study
Federated Learning for Energy Constrained IoT devices: A systematic mapping studyCluster Computing (CC), 2022
Rachid El Mokadem
Yann Ben Maissa
Zineb El Akkaoui
178
11
0
09 Jan 2023
Federated Learning for Medical Applications: A Taxonomy, Current Trends,
  Challenges, and Future Research Directions
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research DirectionsIEEE Internet of Things Journal (IEEE IoT J.), 2022
A. Rauniyar
D. Hagos
Debesh Jha
J. E. Haakegaard
Ulas Bagci
D. Rawat
Vladimir Vlassov
OOD
409
202
0
05 Aug 2022
Failure Prediction in Production Line Based on Federated Learning: An
  Empirical Study
Failure Prediction in Production Line Based on Federated Learning: An Empirical StudyJournal of Intelligent Manufacturing (J Intell Manuf), 2021
Ning Ge
Guanghao Li
Li Zhang
Yi Liu
FedML
290
52
0
25 Jan 2021
1
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