Federated Learning (FL) has become a cornerstone of privacy protection, shifting the paradigm towards localizing sensitive data while only sending model gradients to a central server. This strategy is ...

Deep learning's availability of large data and compute power makes it far better than any of the ... given a set of data points in 2D, ... Gradient descent is the algorithm used for ...

SGD has several design parameters that we can tweak, including learning rate, momentum, and decay. Then we will turn our attention to advanced gradient descent methods like learning rate scheduling ...

The findings are published in Applied Materials Today ("Deep learning assisted Raman spectroscopy for rapid identification of 2D materials"). "Sometimes, we only have a few samples of the 2D material ...

'Deep learning' casts wide net for novel 2D materials. ScienceDaily . Retrieved March 18, 2025 from www.sciencedaily.com / releases / 2019 / 04 / 190410125620.htm ...

Yaping Qi, Dan Hu, Ming Zheng, Yucheng Jiang, Yong P. Chen. Deep learning assisted Raman spectroscopy for rapid identification of 2D materials. Applied Materials Today , 2024; 41: 102499 DOI: 10. ...