Distributed Deep Learning-based Offloading for Mobile Edge Computing Networks
Sign Up to like & getrecommendations! Published in 2018 at "Mobile Networks and Applications"
DOI: 10.1007/s11036-018-1177-x
Abstract: This paper studies mobile edge computing (MEC) networks where multiple wireless devices (WDs) choose to offload their computation tasks to an edge server. To conserve energy and maintain quality of service for WDs, the optimization… read more here.
Keywords: edge computing; deep learning; distributed deep; learning based ... See more keywords
A new adaptive controller based on distributed deep reinforcement learning for PEMFC air supply system
Sign Up to like & getrecommendations! Published in 2021 at "Energy Reports"
DOI: 10.1016/j.egyr.2021.02.043
Abstract: Abstract To better control the PEMFC air flow, this paper introduces a distributed deep reinforcement learning-based adaptive proportional integral (PI) controller for controlling air flow in a proton exchange membrane fuel cell (PEMFC). In this… read more here.
Keywords: pemfc air; distributed deep; controller; exploration ... See more keywords
GSSP: Eliminating Stragglers through Grouping Synchronous for Distributed Deep Learning in Heterogeneous Cluster
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Cloud Computing"
DOI: 10.1109/tcc.2021.3062398
Abstract: Distributed deep learning has been widely used in training deep neural networks, especially for big models on massive datasets. Parameter Server (PS) architecture is the most popular distributed training framework, which can flexibly design the… read more here.
Keywords: distributed deep; deep learning; group; eliminating stragglers ... See more keywords
Distributed Deep Features Extraction Model for Air Quality Forecasting
Sign Up to like & getrecommendations! Published in 2020 at "Sustainability"
DOI: 10.3390/su12198014
Abstract: Several studies in environmental engineering emphasize the importance of air quality forecasting for sustainable development around the world. In this paper, we studied a new approach for air quality forecasting in Busan metropolitan city. We… read more here.
Keywords: quality forecasting; distributed deep; model; air ... See more keywords