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"

50 / 81 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 57 4 0 28 Feb 2024
Influence-Based Mini-Batching for Graph Neural Networks Johannes Gasteiger Chao Qian Stephan Günnemann GNN 73 15 0 18 Dec 2022
Distributed Graph Neural Network Training: A Survey Yingxia Shao Hongzheng Li Xizhi Gu Hongbo Yin Yawen Li Xupeng Miao Wentao Zhang Tengjiao Wang Lei Chen GNN AI4CE 124 65 0 01 Nov 2022
Out-of-Core Edge Partitioning at Linear Run-Time R. Mayer Kamil Orujzade Hans-Arno Jacobsen 68 19 0 23 Mar 2022
A Model and Survey of Distributed Data-Intensive Systems Alessandro Margara G. Cugola Nicolò Felicioni Stefano Cilloni 57 18 0 21 Mar 2022
Kudu: An Efficient and Scalable Distributed Graph Pattern Mining Engine Jingji Chen Xuehai Qian 48 6 0 08 May 2021
Hybrid Edge Partitioner: Partitioning Large Power-Law Graphs under Memory Constraints R. Mayer Hans-Arno Jacobsen 68 31 0 23 Mar 2021
A Survey on Large-scale Machine Learning Meng Wang Weijie Fu Xiangnan He Shijie Hao Xindong Wu 84 112 0 10 Aug 2020
Graph3S: A Simple, Speedy and Scalable Distributed Graph Processing System Xubo Wang Lu Qin Lijun Chang Ying Zhang Dong Wen Xuemin Lin GNN 11 1 0 02 Mar 2020
BAD to the Bone: Big Active Data at its Core Steven Jacobs Xikui Wang Michael J. Carey V. Tsotras Md Yusuf Sarwar Uddin AI4TS 6 5 0 22 Feb 2020
Dynamic Parameter Allocation in Parameter Servers Alexander Renz-Wieland Rainer Gemulla Steffen Zeuch Volker Markl 52 18 0 03 Feb 2020
Pipelined Training with Stale Weights of Deep Convolutional Neural Networks Lifu Zhang T. Abdelrahman 48 0 0 29 Dec 2019
A Utilization Model for Optimization of Checkpoint Intervals in Distributed Stream Processing Systems Sachini Jayasekara Aaron Harwood S. Karunasekera 27 19 0 27 Nov 2019
A Survey of Big Data Machine Learning Applications Optimization in Cloud Data Centers and Networks S. Mohamed T. El-Gorashi J. Elmirghani 13 13 0 01 Oct 2019
FfDL : A Flexible Multi-tenant Deep Learning Platform K.R. Jayaram Vinod Muthusamy Parijat Dube Vatche Isahagian Chen Wang ... Diana Arroyo Asser Tantawi Archit Verma Falk Pollok Rania Y. Khalaf VLM 22 21 0 14 Sep 2019
Big Data Analytics for Large Scale Wireless Networks: Challenges and Opportunities Hongning Dai Raymond Chi-Wing Wong Hao Wang Zibin Zheng A. Vasilakos AI4CE GNN 63 65 0 02 Sep 2019
Big Data Analytics for Manufacturing Internet of Things: Opportunities, Challenges and Enabling Technologies Hongning Dai Hao Wang Guangquan Xu J. Wan Muhammad Imran 66 251 0 01 Sep 2019
Distributed Edge Partitioning for Trillion-edge Graphs Masatoshi Hanai Toyotaro Suzumura Wen Jun Tan Elvis S. Liu Georgios Theodoropoulos Wentong Cai 54 55 0 16 Aug 2019
A Case for Stale Synchronous Distributed Model for Declarative Recursive Computation Ariyam Das C. Zaniolo LRM 14 9 0 24 Jul 2019
MESH: A Flexible Distributed Hypergraph Processing System B. Heintz Rankyung Hong Shivangi Singh G. Khandelwal Corey Tesdahl A. Chandra AI4CE 44 21 0 01 Apr 2019
Multi-Dimensional Balanced Graph Partitioning via Projected Gradient Descent Dmitrii Avdiukhin S. Pupyrev G. Yaroslavtsev 79 18 0 10 Feb 2019
Towards Federated Learning at Scale: System Design Keith Bonawitz Hubert Eichner W. Grieskamp Dzmitry Huba A. Ingerman ... H. B. McMahan Timon Van Overveldt David Petrou Daniel Ramage Jason Roselander FedML 128 2,678 0 04 Feb 2019
Helix: Holistic Optimization for Accelerating Iterative Machine Learning Doris Xin Stephen Macke Litian Ma Jialin Liu Shuchen Song Aditya G. Parameswaran 49 61 0 14 Dec 2018
Dancing in the Dark: Private Multi-Party Machine Learning in an Untrusted Setting Clement Fung Jamie Koerner Stewart Grant Ivan Beschastnikh OOD FedML 60 12 0 23 Nov 2018
A Bayesian Perspective of Statistical Machine Learning for Big Data R. Sambasivan Sourish Das S. Sahu BDL GP 61 20 0 09 Nov 2018
Towards Efficient Large-Scale Graph Neural Network Computing Lingxiao Ma Zhi-Xin Yang Youshan Miao Jilong Xue Ming Wu Lidong Zhou Yafei Dai GNN 61 16 0 19 Oct 2018
Fault Tolerance in Iterative-Convergent Machine Learning Aurick Qiao Bryon Aragam Bingjing Zhang Eric Xing 76 42 0 17 Oct 2018
GPOP: A cache- and work-efficient framework for Graph Processing Over Partitions Kartik Lakhotia Sourav Pati Rajgopal Kannan Viktor Prasanna 64 17 0 21 Jun 2018
Experimental Analysis of Distributed Graph Systems Khaled Ammar M. Tamer Özsu 49 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 42 22 0 31 May 2018
Securing Distributed Gradient Descent in High Dimensional Statistical Learning Lili Su Jiaming Xu FedML 224 35 0 26 Apr 2018
Toward Scalable Machine Learning and Data Mining: the Bioinformatics Case F. Faghri Sayed Hadi Hashemi Mohammad Babaeizadeh M. Nalls S. Sinha R. Campbell AI4CE 26 4 0 29 Sep 2017
Probabilistic Synchronous Parallel Liang Wang Ben Catterall Richard Mortier 54 16 0 22 Sep 2017
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications Hongyun Cai V. Zheng Kevin Chen-Chuan Chang AI4TS 127 1,794 0 22 Sep 2017
GIANT: Globally Improved Approximate Newton Method for Distributed Optimization Shusen Wang Farbod Roosta-Khorasani Peng Xu Michael W. Mahoney 125 130 0 11 Sep 2017
Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads Tian Li Jie Zhong Ji Liu Wentao Wu Ce Zhang 54 70 0 24 Aug 2017
GraphR: Accelerating Graph Processing Using ReRAM Linghao Song Youwei Zhuo Xuehai Qian Hai Helen Li Yiran Chen GNN 68 248 0 21 Aug 2017
Performance Characterization of Multi-threaded Graph Processing Applications on Intel Many-Integrated-Core Architecture Lei Jiang Langshi Chen J. Qiu GNN 44 13 0 15 Aug 2017
Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent Yudong Chen Lili Su Jiaming Xu FedML 79 244 0 16 May 2017
Palgol: A High-Level DSL for Vertex-Centric Graph Processing with Remote Data Access Yongzhe Zhang Hsiang-Shang Ko Zhenjiang Hu 44 8 0 28 Mar 2017
BLADYG: A Graph Processing Framework for Large Dynamic Graphs Sabeur Aridhi A. Montresor Yannis Velegrakis 26 32 0 02 Jan 2017
An Experimental Survey on Big Data Frameworks Wissem Inoubli Sabeur Aridhi Haithem Mezni Mondher Maddouri E. M. Nguifo 45 113 0 31 Oct 2016
MPI-FAUN: An MPI-Based Framework for Alternating-Updating Nonnegative Matrix Factorization R. Kannan Grey Ballard Haesun Park 73 40 0 28 Sep 2016
AIDE: Fast and Communication Efficient Distributed Optimization Sashank J. Reddi Jakub Konecný Peter Richtárik Barnabás Póczós Alex Smola 73 150 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 52 53 0 19 Aug 2016
Making Caches Work for Graph Analytics Yunming Zhang Vladimir Kiriansky Charith Mendis Matei A. Zaharia Saman P. Amarasinghe GNN 33 15 0 03 Aug 2016
High-Level Programming Abstractions for Distributed Graph Processing Vasiliki Kalavri Vladimir Vlassov Seif Haridi GNN 76 69 0 09 Jul 2016
Debugging OpenStack Problems Using a State Graph Approach Yong Xiang Hu Li Sen Wang Wenyuan Xu 35 9 0 20 Jun 2016
Towards Geo-Distributed Machine Learning Ignacio Cano Markus Weimer D. Mahajan Carlo Curino Giovanni Matteo Fumarola 71 56 0 30 Mar 2016
Machine Learning and Cloud Computing: Survey of Distributed and SaaS Solutions Daniel Pop 38 63 0 29 Mar 2016