3 papers
cs.LG2023
Benchmarking and In-depth Performance Study of Large Language Models on Habana Gaudi Processors
Chengming Zhang, Baixi Sun, Xiaodong Yu +5
Transformer models have achieved remarkable success in various machine learning tasks but suffer from high computational complexity and resource requirements. The quadratic complex…
cs.LG2023
Adversarial Predictions of Data Distributions Across Federated Internet-of-Things Devices
Samir Rajani, Dario Dematties, Nathaniel Hudson +4
Federated learning (FL) is increasingly becoming the default approach for training machine learning models across decentralized Internet-of-Things (IoT) devices. A key advantage of…
physics.ins-det2023
Networked Sensing for Radiation Detection, Localization, and Tracking
R. J. Cooper, N. Abgrall, G. Aversano +18
The detection, identification, and localization of illicit radiological and nuclear material continue to be key components of nuclear non-proliferation and nuclear security efforts…