AB

Armstrong Beaulieu

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📚 Publications (1)

Robustness and Fairness Challenges in Federated Machine Learning Models for Privacy-Preserving Predictive Healthcare Applications
Journal: QIT Press - International Journal of Artificial Intelligence and Machine Learning Research and Development • July 2024
Federated machine learning (FML) has emerged as a transformative approach for privacy-preserving healthcare applications by enabling collaborative model training without centralizing sensitive patient...
Federated learning Robustness Fairness Healthcare ai Privacy-preserving machine learning Adversarial attacks Data heterogeneity
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