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Ensemble Distillation for Robust Model Fusion in Federated Learning

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Ensemble Distillation for Robust Model Fusion in Federated Learning

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Machine learning of multiscale active force generation models for the efficient simulation of cardiac electromechanics

Numerical methods for structural anomaly detection using model order reduction and data-driven techniques

Negative ion characterization in a helicon plasma source for fusion neutral beams by cavity ring-down spectroscopy and Langmuir probe laser photodetachment

Disruption Prediction Approaches Using Machine Learning Tools in Tokamaks

Object Classification Based on Unsupervised Learned Multi-Modal Features For Overcoming Sensor Failures

A Machine-Learning Framework for Automating Well-Log Depth Matching

Residual Parameter Transfer for Deep Domain Adaptation

Fusion product losses due to fishbone instabilities in deuterium JET plasmas

Verification and validation procedures with applications to plasma-edge turbulence simulations

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