Knowledge Distillation (KD) has been established as an effective technique for reducing the resource requirements of models when tackling computer vision tasks. Prior work has studied how to distill ...
Abstract: Embedded AI systems are expected to incur low power/energy consumption for solving machine learning tasks, as these systems are usually power constrained (e.g., object recognition task in ...
Abstract: Federated learning (FL), a paradigm of distributed machine learning, aims to utilize user data for model training while safeguarding data privacy. However, numerous challenges arise in ...
The final, formatted version of the article will be published soon. This work reports on a pilot study for optimizing the design of a fast neutron irradiation experiment in a thermal neutron spectrum, ...
In recent weeks President Donald Trump has struck trade deals with Argentina and India. Both countries have obtained partial relief from tariffs by making it easier for American firms to sell goods to ...
[](https://github.com/Fast-Whimsy/ECM-Framework/actions) ECM Version: v0.1.0 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results