Abstract: Split learning is a distributed learning technique that enables multiple data owners to collaboratively train deep learning models without sharing their raw data, thereby pre-serving privacy ...
Flexible, and easy-to-use Python diffraction simulator that focuses on visualizing physical optics phenomena. The simulator uses mainly scalar diffraction techniques for light propagation, provides a ...
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