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Domain adaptive FL for edge-enabled privacy-preserving MRI analysis
Saeed Iqbal
, Imran Arshad Choudhry
, Inam Ullah
,
Kuljeet Kaur
, Bong Jun Choi
, Mohammad Mehedi Hassan
École de technologie supérieure
Electrical Engineering Department
LACIME - Communications and Microelectronics Integration Laboratory
Shenzhen University
University of Central Punjab
Gachon University
Chitkara University
Soongsil University
King Saud University
Research output
:
Contribution to journal
›
Journal Article
›
peer-review
6
Citations (Scopus)
Overview
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Keyphrases
Accuracy Improvement
25%
Adaptive Federated Learning
100%
Artificial Intelligence in Healthcare
25%
Brain Tumor Segmentation (BraTS)
25%
Client Data
25%
Collaborative Learning Activities
25%
Collaborative Model Training
50%
Confidentiality
25%
Consumer Healthcare
25%
Cross-domain Adaptation
25%
CT-like MRI
25%
Data Heterogeneity
50%
Data Privacy
25%
Domain Adaptive
100%
Edge Computing
25%
Edge Intelligence
25%
Edge-enabled
100%
Ethical Mandates
25%
F1 Score
25%
Federated Learning
50%
Federated Learning Approach
25%
Federated Learning Framework
25%
FMRI Analysis
100%
Improved Patient Outcomes
25%
Innovative Strategies
25%
Learning Methods
25%
Medical Imaging Application
25%
Medical Imaging Modalities
25%
Model Accuracy
25%
Model Data
25%
Non-IID Data
25%
Patient Privacy
25%
Positron Emission Tomography/computed Tomography (PET/CT)
25%
Privacy Data
25%
Privacy Leakage
25%
Privacy Model
25%
Privacy Protection
25%
Privacy-preserving
100%
Privacy-preserving Artificial Intelligence
25%
Segmentation Dataset
25%
Superior Performance
25%
Synergize
25%
Computer Science
Artificial Intelligence
20%
Artificial Intelligence In Healthcare
20%
Collaboration
40%
Collaborative Learning
20%
Data Distribution
20%
Data Heterogeneity
40%
Data Privacy
20%
Domain Adaptation
20%
Edge Computing
20%
Edge Intelligence
20%
Federated machine learning
100%
Innovative Strategy
20%
Learning Approach
20%
Learning Framework
20%
Learning Technique
20%
Medical Imaging
40%
Model Accuracy
20%
Privacy Leakage
20%
Privacy Preserving
100%
Privacy Protection
20%
Superior Performance
20%