Distributed GraphLab: A Framework for Machine Learning in the Cloud

26 April 2012

Papers citing "Distributed GraphLab: A Framework for Machine Learning in the Cloud"

38 / 38 papers shown

Title
Play like a Vertex: A Stackelberg Game Approach for Streaming Graph Partitioning Zezhong Ding Yongan Xiang Shangyou Wang Xike Xie S. K. Zhou 29 3 0 28 Feb 2024
Distributed Graph Neural Network Training: A Survey Yingxia Shao Hongzheng Li Xizhi Gu Hongbo Yin Yawen Li Xupeng Miao Wentao Zhang Bin Cui Lei Chen GNN AI4CE 11 56 0 01 Nov 2022
Out-of-Core Edge Partitioning at Linear Run-Time R. Mayer Kamil Orujzade Hans-Arno Jacobsen 19 19 0 23 Mar 2022
Kudu: An Efficient and Scalable Distributed Graph Pattern Mining Engine Jingji Chen Xuehai Qian 11 6 0 08 May 2021
Hybrid Edge Partitioner: Partitioning Large Power-Law Graphs under Memory Constraints R. Mayer Hans-Arno Jacobsen 21 30 0 23 Mar 2021
A Survey on Large-scale Machine Learning Meng Wang Weijie Fu Xiangnan He Shijie Hao Xindong Wu 19 109 0 10 Aug 2020
Pipelined Training with Stale Weights of Deep Convolutional Neural Networks Lifu Zhang T. Abdelrahman 21 0 0 29 Dec 2019
Multi-Dimensional Balanced Graph Partitioning via Projected Gradient Descent Dmitrii Avdiukhin S. Pupyrev G. Yaroslavtsev 12 18 0 10 Feb 2019
Fault Tolerance in Iterative-Convergent Machine Learning Aurick Qiao Bryon Aragam Bingjing Zhang Eric P. Xing 26 41 0 17 Oct 2018
GPOP: A cache- and work-efficient framework for Graph Processing Over Partitions Kartik Lakhotia Sourav Pati Rajgopal Kannan Viktor Prasanna 23 17 0 21 Jun 2018
Experimental Analysis of Distributed Graph Systems Khaled Ammar M. Tamer Özsu 20 34 0 21 Jun 2018
Start Late or Finish Early: A Distributed Graph Processing System with Redundancy Reduction Shuang Song Xu Liu Qinzhe Wu A. Gerstlauer Tao Li L. John GNN 11 22 0 31 May 2018
Probabilistic Synchronous Parallel Liang Wang Ben Catterall Richard Mortier 24 16 0 22 Sep 2017
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications Hongyun Cai V. Zheng Kevin Chen-Chuan Chang AI4TS 44 1,781 0 22 Sep 2017
GIANT: Globally Improved Approximate Newton Method for Distributed Optimization Shusen Wang Farbod Roosta-Khorasani Peng Xu Michael W. Mahoney 33 127 0 11 Sep 2017
GraphR: Accelerating Graph Processing Using ReRAM Linghao Song Youwei Zhuo Xuehai Qian Hai Helen Li Yiran Chen GNN 22 245 0 21 Aug 2017
Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent Yudong Chen Lili Su Jiaming Xu FedML 13 241 0 16 May 2017
An Experimental Survey on Big Data Frameworks Wissem Inoubli Sabeur Aridhi Haithem Mezni Mondher Maddouri E. M. Nguifo 20 113 0 31 Oct 2016
MPI-FAUN: An MPI-Based Framework for Alternating-Updating Nonnegative Matrix Factorization R. Kannan Grey Ballard Haesun Park 30 40 0 28 Sep 2016
AIDE: Fast and Communication Efficient Distributed Optimization Sashank J. Reddi Jakub Konecný Peter Richtárik Barnabás Póczós Alex Smola 19 150 0 24 Aug 2016
Thrill: High-Performance Algorithmic Distributed Batch Data Processing with C++ Timo Bingmann Michael Axtmann E. Jöbstl S. Lamm Huyen Chau Nguyen Alexander Noe Sebastian Schlag Matthias Stumpp Tobias Sturm Peter Sanders VLM 11 52 0 19 Aug 2016
High-Level Programming Abstractions for Distributed Graph Processing Vasiliki Kalavri Vladimir Vlassov Seif Haridi GNN 16 69 0 09 Jul 2016
Towards Geo-Distributed Machine Learning Ignacio Cano Markus Weimer D. Mahajan Carlo Curino Giovanni Matteo Fumarola 19 56 0 30 Mar 2016
Machine Learning and Cloud Computing: Survey of Distributed and SaaS Solutions Daniel Pop 9 63 0 29 Mar 2016
Faster and Cheaper: Parallelizing Large-Scale Matrix Factorization on GPUs Wei Tan Liangliang Cao L. Fong 23 56 0 11 Mar 2016
Strategies and Principles of Distributed Machine Learning on Big Data Eric P. Xing Qirong Ho P. Xie Wei-Ming Dai AI4CE 24 153 0 31 Dec 2015
BayesDB: A probabilistic programming system for querying the probable implications of data Vikash K. Mansinghka R. Tibbetts Jay Baxter Pat Shafto Baxter S. Eaves 11 38 0 15 Dec 2015
Speeding Up Distributed Machine Learning Using Codes Kangwook Lee Maximilian Lam Ramtin Pedarsani Dimitris Papailiopoulos Kannan Ramchandran 31 853 0 08 Dec 2015
Incremental Query Processing on Big Data Streams L. Fegaras 14 33 0 24 Nov 2015
Lightweight Asynchronous Snapshots for Distributed Dataflows Paris Carbone Gyula Fóra Stephan Ewen Seif Haridi K. Tzoumas 35 104 0 29 Jun 2015
Big Data Analytics in Bioinformatics: A Machine Learning Perspective H. Kashyap H. A. Ahmed N. Hoque Swarup Roy D. Bhattacharyya AI4CE 16 91 0 15 Jun 2015
Distributed Training of Structured SVM Ching-pei Lee Kai-Wei Chang Shyam Upadhyay Dan Roth 15 8 0 08 Jun 2015
Effective Techniques for Message Reduction and Load Balancing in Distributed Graph Computation Da Yan James Cheng Yi Lu Wilfred Ng 33 117 0 02 Mar 2015
Model-Parallel Inference for Big Topic Models Xun Zheng Jin Kyu Kim Qirong Ho Eric P. Xing MoE AI4CE 36 7 0 10 Nov 2014
Factorbird - a Parameter Server Approach to Distributed Matrix Factorization Sebastian Schelter Venu Satuluri R. Zadeh 24 36 0 03 Nov 2014
FlashGraph: Processing Billion-Node Graphs on an Array of Commodity SSDs Da Zheng Disa Mhembere Randal C. Burns Joshua T. Vogelstein Carey E. Priebe A. Szalay 24 236 0 03 Aug 2014
NOMAD: Non-locking, stOchastic Multi-machine algorithm for Asynchronous and Decentralized matrix completion Hyokun Yun Hsiang-Fu Yu Cho-Jui Hsieh S.V.N. Vishwanathan Inderjit Dhillon 44 124 0 01 Dec 2013
Accelerated Mini-Batch Stochastic Dual Coordinate Ascent Shai Shalev-Shwartz Tong Zhang ODL 47 150 0 12 May 2013