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1 Ergebnisse
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A Layer-Based Sparsification Method For Distributed DNN Tra..:
, In:
2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys)
,
Hu, Yanqing
;
Ye, Qing
;
Zhang, Zhongyu
. - p. 1342-1349 , 2022
Link:
https://doi.org/10.1109/HPCC-DSS-SmartCity-DependSys57..
RT T1 <cTitle>2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys)</cTitle>: T1 <Title>A Layer-Based Sparsification Method For Distributed DNN Training</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10074736&Exemplar=1&LAN=DE A1 Hu, Yanqing A1 Ye, Qing A1 Zhang, Zhongyu A1 Lv, Jiancheng YR 2022 K1 Training K1 Image coding K1 Tensors K1 Quantization (signal) K1 Computational modeling K1 Throughput K1 Data models K1 Deep Neural Network K1 Distributed Training K1 Data Parallelism K1 Gradient Compression SP 1342 OP 1349 LK http://dx.doi.org/https://doi.org/10.1109/HPCC-DSS-SmartCity-DependSys57074.2022.00209 DO https://doi.org/10.1109/HPCC-DSS-SmartCity-DependSys57074.2022.00209 SF ELIB - SuUB Bremen
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