LAUSR

An ADMM-based algorithm with minimum dispersion regularization for on-line blind unmixing of hyperspectral images

Sign Up to like & get
recommendations!
0 Published in 2020 at "Chemometrics and Intelligent Laboratory Systems"

DOI: 10.1016/j.chemolab.2020.104090

Abstract: Pushbroom imaging systems are emerging techniques for real-time acquisition of hyperspectral images. These systems are frequently used in industrial applications to control and sort products on-the-fly. In this paper, the on-line hyperspectral image blind unmixing… read more here.

Keywords: line; dispersion regularization; blind unmixing; admm based ... See more keywords

pdlADMM: An ADMM-based framework for parallel deep learning training with efficiency

Sign Up to like & get
recommendations!
1 Published in 2021 at "Neurocomputing"

DOI: 10.1016/j.neucom.2020.09.029

Abstract: Abstract Alternating Direction Methods of Multipliers (ADMM) has been proven to be a useful alternative to the popular gradient-based optimizers and successfully applied to train the DNN model. Whereas existing ADMM-based approaches generally do not… read more here.

Keywords: based framework; parallel deep; framework parallel; pdladmm ... See more keywords

ADMM Based Symbol-Level Precoding for MU-MISO Downlink With Low-Resolution DACs

Sign Up to like & get
recommendations!
2 Published in 2022 at "IEEE Communications Letters"

DOI: 10.1109/lcomm.2022.3209999

Abstract: In this letter, we investigate the problem of symbol-level precoder design with low-resolution digital-to-analog converters (DACs) to implement wireless multiuser multiple-input single-output (MISO) downlink communications. Specifically, we aim to maximize the minimum distance between the… read more here.

Keywords: problem; admm based; low resolution; symbol level ... See more keywords

An ADMM-Based Approach to Robust Array Pattern Synthesis

Sign Up to like & get
recommendations!
1 Published in 2019 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2019.2912456

Abstract: In most existing robust array beam pattern synthesis studies, the bounded-sphere model is used to describe the steering vector (SV) uncertainties. In this letter, instead of bounding the norm of SV perturbations as a whole,… read more here.

Keywords: synthesis; pattern synthesis; admm based; robust array ... See more keywords

Efficient ADMM-Based Algorithms for Convolutional Sparse Coding

Sign Up to like & get
recommendations!
1 Published in 2022 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2021.3135196

Abstract: Convolutional sparse coding improves on the standard sparse approximation by incorporating a global shift-invariant model. The most efficient convolutional sparse coding methods are based on the alternating direction method of multipliers and the convolution theorem.… read more here.

Keywords: admm based; sparse coding; convolutional sparse; efficient admm ... See more keywords

An ADMM-Based Optimization Method for URLLC-Enabled UAV Relay System

Sign Up to like & get
recommendations!
2 Published in 2022 at "IEEE Wireless Communications Letters"

DOI: 10.1109/lwc.2022.3153142

Abstract: The main challenge for maintenance of distributed photovoltaic (PV) system lies in data collection. This letter considers unmanned aerial vehicle (UAV) to relay the maintenance data by visible light communication (VLC) under the requirements of… read more here.

Keywords: system; admm based; uav relay; based optimization ... See more keywords

Dynamic Differential Privacy for ADMM-Based Distributed Classification Learning

Sign Up to like & get
recommendations!
0 Published in 2017 at "IEEE Transactions on Information Forensics and Security"

DOI: 10.1109/tifs.2016.2607691

Abstract: Privacy-preserving distributed machine learning becomes increasingly important due to the recent rapid growth of data. This paper focuses on a class of regularized empirical risk minimization machine learning problems, and develops two methods to provide… read more here.

Keywords: differential privacy; dynamic differential; variable perturbation; admm based ... See more keywords

DP-ADMM: ADMM-Based Distributed Learning With Differential Privacy

Sign Up to like & get
recommendations!
0 Published in 2020 at "IEEE Transactions on Information Forensics and Security"

DOI: 10.1109/tifs.2019.2931068

Abstract: Alternating direction method of multipliers (ADMM) is a widely used tool for machine learning in distri-buted settings where a machine learning model is trained over distributed data sources through an interactive process of local computation… read more here.

Keywords: distributed learning; admm based; based distributed; differential privacy ... See more keywords

An ADMM-Based Distributed Algorithm for Economic Dispatch in Islanded Microgrids

Sign Up to like & get
recommendations!
1 Published in 2018 at "IEEE Transactions on Industrial Informatics"

DOI: 10.1109/tii.2017.2785366

Abstract: In this paper, based on an alternating direction method of multipliers (ADMM), a novel distributed algorithm is proposed to address the economic dispatch problem (EDP) in islanded microgrids. Unlike most of the existing studies that… read more here.

Keywords: islanded microgrids; distributed algorithm; economic dispatch; admm based ... See more keywords

Low-Complexity ADMM-Based Algorithm for Robust Multi-Group Multicast Beamforming in Large-Scale Systems

Sign Up to like & get
recommendations!
1 Published in 2022 at "IEEE Transactions on Signal Processing"

DOI: 10.1109/tsp.2022.3160004

Abstract: We design an efficient robust multi-group multicast beamforming scheme for massive multiple-input multiple-output (MIMO) systems. Assuming only estimates of the channel covariance matrices are available at the base station with a bounded error, we formulate… read more here.

Keywords: problem; admm based; robust multi; multi group ... See more keywords

ADMM-Based Infinity-Norm Detection for Massive MIMO: Algorithm and VLSI Architecture

Sign Up to like & get
recommendations!
1 Published in 2021 at "IEEE Transactions on Very Large Scale Integration (VLSI) Systems"

DOI: 10.1109/tvlsi.2021.3056946

Abstract: In this article, we propose a novel data detection algorithm and a corresponding VLSI design for massive multiuser (MU) multiple-input–multiple-output (MIMO) wireless systems. Our algorithm uses alternating direction method of multipliers (ADMM)-based infinity-norm-constrained equalization and… read more here.

Keywords: based infinity; mimo; admm based; infinity norm ... See more keywords