pdlADMM: An ADMM-based framework for parallel deep learning training with efficiency
Sign Up to like & getrecommendations! 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
A Hybrid parallel deep learning model for efficient intrusion detection based on metric learning
Sign Up to like & getrecommendations! Published in 2022 at "Connection Science"
DOI: 10.1080/09540091.2021.2024509
Abstract: With the rapid development of network technology, a variety of new malicious attacks appear while attack methods are constantly updated. As the attackers exploit the vulnerabilities of popular third-party components to invade target websites, further… read more here.
Keywords: intrusion detection; parallel deep; detection; model ... See more keywords
DOA Estimation by Feature Extraction Based on Parallel Deep Neural Networks and MRMR Feature Selection Algorithm
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3547146
Abstract: An active research topic in the array signal processing field is the direction of arrival (DOA) estimation, where establishing an efficient estimation of radio waves received from an antenna array is of great interest. Recent… read more here.
Keywords: based parallel; deep neural; estimation; parallel deep ... See more keywords
Parallel Deep Reinforcement Learning Method for Gait Control of Biped Robot
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2022.3145373
Abstract: In this brief, a parallel Deep Deterministic Policy Gradient (DDPG) algorithm is presented for biped robot gait control. Biped robot gait control is a high-dimensional continuous problem. It is challenging to obtain a fast and… read more here.
Keywords: parallel deep; biped robot; control biped; gait ... See more keywords
A Novel Method for Bearing Fault Diagnosis Based on a Parallel Deep Convolutional Neural Network
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DOI: 10.3390/sym16040432
Abstract: The symmetry of vibration signals collected from healthy machinery, which gradually degenerates with the development of faults, must be detected for timely diagnosis and prognosis. However, conventional methods may miss spatiotemporal relationships, struggle with varying… read more here.
Keywords: diagnosis; method; fault diagnosis; parallel deep ... See more keywords