Essays about: "Distributed deep learning architecture"

Showing result 1 - 5 of 13 essays containing the words Distributed deep learning architecture.

1. 1. A Study on Data-driven Methods for Selection and Evaluation of Beam Subsets in 5G NR

   University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

   Author : Nic Ekman; Ilias Theodoros Skordas; [2022]
   Keywords : 5G; NR; telecom; telecommunications; ML; machine learning; algorithms; beam; widebeam; propagation; beamforming; subset; RAN; radio; radio environment; ericsson; Technology and Engineering;

   Abstract : 5G New Radio is the next generation of mobile networks and it comes with promises of ultra-high speeds, ultra-high reliability and ultra-low latency. This has posed a challenge for the engineers entrusted with the task of finding solutions which could fulfil the specification, and as a result, some promising areas have received increased attention in recent years. READ MORE

3. 2. Quality Attributes of Data in Distributed Deep Learning Architectures

   University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

   Author : SHAMEER KUMAR PRADHAN; SAGAR TUNGAL; [2021-09-28]
   Keywords : Data quality; Data; Data quality attributes; Data quality challenges; Data quality workflow; Data quality assessment; Data quality maintenance; Design science research; Artifacts; Template; Deep learning; Distributed architecture; Distributed deep learning architecture; Advanced driver assistance systems;

   Abstract : Large volume of data is generated by different systems. Intelligent systems such as autonomous driving uses such large volume of data to train their artificial intelligence models. However, good quality data is one of the foremost needs of any system to function in an effective and safe manner. READ MORE

4. 3. Distributed Robust Learning

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Akhil Yerrapragada; [2021]
   Keywords : Byzantine resilient decentralized training; Gradient aggregation rules; α; f Byzantine resilience; Fault tolerance; Ring all-reduce.; Byzantinsk motståndskraftig decentraliserad träning; Gradientaggregeringsregler; α; f Byzantinsk motståndskraft; Feltolerans; Ring allreducera.;

   Abstract : Accuracy obtained when training deep learning models with large amounts of data is high, however, training a model with such huge amounts of data on a single node is not feasible due to various reasons. For example, it might not be possible to fit the entire data set in the memory of a single node, training times can significantly increase since the dataset is huge. READ MORE

5. 4. Efficient serverless resource scheduling for distributed deep learning.

   University essay from Umeå universitet/Institutionen för datavetenskap

   Author : Johan Sundkvist; [2021]
   Keywords : Serverless; distributed; deep learning; scheduling; regression;

   Abstract : Stemming from the growth and increased complexity of computer vision, natural language processing, and speech recognition algorithms; the need for scalability and fault tolerance of machine learning systems has risen. In order to comply with these demands many have turned their focus towards implementing machine learning on distributed systems. READ MORE

6. 5. Research on Dynamic Offloading Strategy of Satellite Edge Computing Based on Deep Reinforcement Learning

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Rui Geng; [2021]
   Keywords : Deep reinforcement learning; Satellite edge computing; Offloading strategy; Djup Förstärkning Lärande; Satellit Kant Datoranvändning; Avlastning Strategi;

   Abstract : Nowadays more and more data is generated at the edge of the network, and people are beginning to consider decentralizing computing tasks to the edge of the network. The network architecture of edge computing is different from the traditional network architecture. READ MORE