Robust Bayesian hierarchical modeling and inference using scale mixtures of normal distributions
Sign Up to like & getrecommendations! Published in 2021 at "IISE Transactions"
DOI: 10.1080/24725854.2021.1912440
Abstract: Abstract Empirical models that relate multiple quality features to a set of design variables play a vital role in many industrial process optimization methods. Many of the current modeling methods employ a single-response normal model… read more here.
Keywords: bayesian hierarchical; inference using; modeling inference; hierarchical modeling ... See more keywords
Enabling Homomorphically Encrypted Inference for Large DNN Models
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Computers"
DOI: 10.1109/tc.2021.3076123
Abstract: The proliferation of machine learning services in the last few years has raised data privacy concerns. Homomorphic encryption (HE) enables inference using encrypted data but it incurs 100x–10,000x memory and runtime overheads. Secure deep neural… read more here.
Keywords: inference using; enabling homomorphically; inference; dnn ... See more keywords