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1602.08191
Cited By

DeepSpark: A Spark-Based Distributed Deep Learning Framework for
Commodity Clusters

v1v2v3 (latest)

DeepSpark: A Spark-Based Distributed Deep Learning Framework for Commodity Clusters

26 February 2016

Jaehee Jang

ArXiv (abs)PDF HTML

Papers citing "DeepSpark: A Spark-Based Distributed Deep Learning Framework for Commodity Clusters"

13 / 13 papers shown

On the Efficiency of Privacy Attacks in Federated Learning

On the Efficiency of Privacy Attacks in Federated Learning

Nawrin Tabassum

180

5

0

15 Apr 2024

A Survey on Class Imbalance in Federated Learning

A Survey on Class Imbalance in Federated Learning

361

29

0

21 Mar 2023

Addressing Class Imbalance in Federated Learning

Addressing Class Imbalance in Federated Learning

269

21

0

14 Aug 2020

Distributed Training of Deep Learning Models: A Taxonomic Perspective

Distributed Training of Deep Learning Models: A Taxonomic PerspectiveIEEE Transactions on Parallel and Distributed Systems (TPDS), 2020

208

100

0

08 Jul 2020

Deep Leakage from Gradients

Deep Leakage from GradientsNeural Information Processing Systems (NeurIPS), 2019

Zhijian Liu

Song Han

827

2,840

0

21 Jun 2019

A Survey on Spark Ecosystem for Big Data Processing

A Survey on Spark Ecosystem for Big Data Processing

152

11

0

18 Nov 2018

Demystifying Parallel and Distributed Deep Learning: An In-Depth
Concurrency Analysis

Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency AnalysisACM Computing Surveys (CSUR), 2018

Torsten Hoefler

481

784

0

26 Feb 2018

Efficient Embedding of MPI Collectives in MXNET DAGs for scaling Deep
Learning

Efficient Embedding of MPI Collectives in MXNET DAGs for scaling Deep Learning

Amith R. Mamidala

78

1

0

20 Feb 2018

MXNET-MPI: Embedding MPI parallelism in Parameter Server Task Model for
scaling Deep Learning

MXNET-MPI: Embedding MPI parallelism in Parameter Server Task Model for scaling Deep Learning

Amith R. Mamidala

Georgios Kollias

180

21

0

11 Jan 2018

Homomorphic Parameter Compression for Distributed Deep Learning Training

Homomorphic Parameter Compression for Distributed Deep Learning Training

Jaehee Jang

204

1

0

28 Nov 2017

Distributed Bayesian Piecewise Sparse Linear Models

Distributed Bayesian Piecewise Sparse Linear Models

181

0

0

07 Nov 2017

A Data and Model-Parallel, Distributed and Scalable Framework for
Training of Deep Networks in Apache Spark

A Data and Model-Parallel, Distributed and Scalable Framework for Training of Deep Networks in Apache Spark

Disha Shrivastava

Jayadeva Jayadeva

151

11

0

19 Aug 2017

Deep Learning in Bioinformatics

Deep Learning in Bioinformatics

485

1,454

0

21 Mar 2016

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