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Lina Andersson

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S9-042025-2611549

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📚 Publications (2)

A Federated Learning Approach to Privacy-Preserving Medical Image Classification Across Distributed Healthcare Systems
Journal: ISCSITR - International Journal of Scientific Research in Healthcare Information System • June 2022
The surge in medical imaging data and the expansion of distributed healthcare systems have emphasized the need for privacy-preserving machine learning solutions. Traditional centralize...
Federated learning Medical image classification Privacy preservation Distributed healthcare Differential privacy Convolutional neural networks.
Advancing Generalization in Deep Neural Networks through Theoretically Grounded Regularization and Geometric Optimization
Journal: QIT Press - International Journal of Artificial Intelligence and Machine Learning Research and Development (QITP-IJAIMLRD) • August 2020
Deep neural networks have demonstrated powerful representational capabilities, yet their ability to generalize remains a central challenge in modern machine learning. This paper investigates the theor...
Generalization Deep learning Regularization Optimization geometry Flat minima Norm constraints Implicit bias Learning theory Neural networks
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