HANF: Hyperparameter And Neural Architecture Search in Federated Learning. (arXiv:2206.12342v1 [cs.LG])

Automated machine learning (AutoML) is an important step to make machine
learning models being widely applied to solve real world problems. Despite
numerous research advancement, machine learning methods are not fully utilized
by industries mainly due to their data privacy and security regulations, high
cost involved in storing and computing increasing amount of data at central
location and most importantly lack of expertise. Hence, we introduce a novel
framework, HANF - $\textbf{H}$yperparameter $\textbf{A}$nd $\textbf{N}$eural
architecture search in $\textbf{F}$ederated learning as …

architecture arxiv federated learning learning lg neural architecture search search