2024
An Empirical Study of Distributed Deep Learning Training on Edge (Student Abstract)
AAAI 2024technical
Deep learning (DL), despite its success in various fields, remains expensive and inaccessible to many due to its need for powerful supercomputing and high-end GPUs. This study explores alternative computing infrastructure and methods for distributed DL on low-energy, low-cost devices. We experiment…