Abstract: Federated Learning (FL) allows collaborative training of a Machine Learning (ML) model while preserving data privacy across participating clients. Most existing studies consider FL clients ...
Fine-tuning TCAD parameters with real-world feedback from test wafers is essential for quantitatively accurate and predictive results.
Abstract: The multiple scattering effect is commonly present in electromagnetic (EM) scattering and can serve as a priori information to guide the solution of inverse scattering problems (ISPs). As ...
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