https://github.com/boopi7/drift_detection_adaptation

Experiments for concept drift detection and adaptation in Federated Learning using MNIST data
https://github.com/boopi7/drift_detection_adaptation

cnn-classification concept-drift detection-algorithm drift-detection federated-learning machine-learning mnist-handwriting-recognition modular-design pytorch statistical-analysis

Last synced: about 16 hours ago
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Experiments for concept drift detection and adaptation in Federated Learning using MNIST data

• Host: GitHub
• URL: https://github.com/boopi7/drift_detection_adaptation
• Owner: Boopi7
• License: apache-2.0
• Created: 2025-11-04T03:55:26.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2025-11-04T03:59:52.000Z (8 months ago)
• Last Synced: 2026-02-17T20:51:44.657Z (5 months ago)
• Topics: cnn-classification, concept-drift, detection-algorithm, drift-detection, federated-learning, machine-learning, mnist-handwriting-recognition, modular-design, pytorch, statistical-analysis
• Language: Jupyter Notebook
• Homepage:
• Size: 9.21 MB
• Stars: 2
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: readme.txt
  • License: LICENSE

Awesome Lists containing this project

README

          
contains experimental results of detection and adaptation

+++ gdrift for incremental drift

+++ sdrift for sudden drift

+++ hybrid/mix for both sudden and incremental drift