A partially inexact ADMM with o(1/n) asymptotic convergence rate, ????(1/n) complexity, and immediate relative error tolerance
Sign Up to like & getrecommendations! Published in 2020 at "Optimization"
DOI: 10.1080/02331934.2020.1772255
Abstract: In this work, we propose a new partially inexact Alternating Direction Method of Multipliers (ADMM) with relative error tolerance. This method departs from previous semi-inexact variants of the ADMM by allowing the second subproblem to… read more here.
Keywords: asymptotic convergence; error tolerance; relative error; error ... See more keywords
On Development of Reliable Machine Learning Systems Based on Machine Error Tolerance of Input Images
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2022.3194811
Abstract: With the rapid development of machine learning technologies, more and more practical applications arise. Representative machine learning techniques that receive much attention include object detection and image classification, which can be applied to many applications,… read more here.
Keywords: machine; input images; learning systems; machine learning ... See more keywords
Intrinsic Vulnerability to Soft Errors and a Mitigation Technique by Layout Optimization on DICE Flip Flops in a 65-nm Bulk Process
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DOI: 10.1109/tns.2021.3075176
Abstract: We found that specific pairs of pMOS and nMOS transistors in dual interlocked storage cell flip flop (DICEFF) become sensitive to soft errors by device simulations. We propose several layout structures that can improve soft-error… read more here.
Keywords: tex math; inline formula; error tolerance; soft error ... See more keywords