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Computational overhead comparison between centralized learning and FL-based approaches.

Computational overhead comparison between centralized learning and FL-based approaches.

<p>Computational overhead comparison between centralized learning and FL-based approaches.</p>

Gorde:
Xehetasun bibliografikoak
Egile nagusia: Syed Mohsin Bokhari (21702906) (author)
Beste egile batzuk: Sarmad Sohaib (21273402) (author), Muhammad Shafi (7168253) (author)
Argitaratua: 2025
Gaiak:
Cell Biology
Neuroscience
Biotechnology
Mental Health
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
matthews correlation coefficient
four experimental setups
646 recordings indicates
time arrhythmia detection
sr ), respectively
iid data conditions
flpmdp approach achieves
federated baseline models
large ecg dataset
feature fusion techniques
personalized federated learning
personalized models
flpmdp ),
federated learning
diagnosing arrhythmia
gsvt ),
flpmdp recorded
data confidentiality
data privacy
xlink ">
step forward
sinus rhythm
sinus bradycardia
paper presents
modern healthcare
model strength
lead electrocardiogram
kappa score
highly pertinent
facing non
enabling secure
empirical experiment
compliant solution
comparative analysis
71 %.
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Antzeko izenburuak

  • Performance comparison with existing models.
    nork: Syed Mohsin Bokhari (21702906)
    Argitaratua: (2025)
  • Performance Comparison of Fed_avg and FLPMDP Models.
    nork: Syed Mohsin Bokhari (21702906)
    Argitaratua: (2025)
  • Performance comparison of GRU model with and without Feature Fusion.
    nork: Syed Mohsin Bokhari (21702906)
    Argitaratua: (2025)
  • Hardware and software specifications used in the experimental setup.
    nork: Syed Mohsin Bokhari (21702906)
    Argitaratua: (2025)
  • Model accuracy across different classes.
    nork: Syed Mohsin Bokhari (21702906)
    Argitaratua: (2025)

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