A Survey on Distributed Machine Learning

20 December 2019

Papers citing "A Survey on Distributed Machine Learning"

36 / 186 papers shown

Title
NBcoded: network attack classifiers based on Encoder and Naive Bayes model for resource limited devices Lander Segurola-Gil Francesco Zola Xabier Echeberria-Barrio Raul Orduna Urrutia AAML 18 4 0 15 Sep 2021
On Distributed Learning with Constant Communication Bits Xiangxiang Xu Shao-Lun Huang 13 6 0 14 Sep 2021
Asynchronous Federated Learning on Heterogeneous Devices: A Survey Chenhao Xu Youyang Qu Yong Xiang Longxiang Gao FedML 173 262 0 09 Sep 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu C. Aggarwal Chang-Tien Lu 160 20 0 21 Jul 2021
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions Eike Petersen Yannik Potdevin Esfandiar Mohammadi Stephan Zidowitz Sabrina Breyer ... Sandra Henn Ludwig Pechmann M. Leucker P. Rostalski Christian Herzog FaML AILaw OOD 99 23 0 20 Jul 2021
AI in Finance: Challenges, Techniques and Opportunities LongBing Cao AIFin 98 265 0 20 Jul 2021
Privacy Vulnerability of Split Computing to Data-Free Model Inversion Attacks Xin Dong Hongxu Yin J. Álvarez Jan Kautz Pavlo Molchanov H. T. Kung MIACV 81 8 0 13 Jul 2021
Active Learning in Robotics: A Review of Control Principles Annalisa T. Taylor Thomas A. Berrueta Todd Murphey 98 76 0 25 Jun 2021
Learning Under Delayed Feedback: Implicitly Adapting to Gradient Delays R. Aviv Ido Hakimi Assaf Schuster Kfir Y. Levy 49 9 0 23 Jun 2021
DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm via Langevin Monte Carlo within Gibbs Vincent Plassier Maxime Vono Alain Durmus Eric Moulines 66 17 0 11 Jun 2021
EF21: A New, Simpler, Theoretically Better, and Practically Faster Error Feedback Peter Richtárik Igor Sokolov Ilyas Fatkhullin 69 146 0 09 Jun 2021
Hyperdimensional Computing for Efficient Distributed Classification with Randomized Neural Networks A. Rosato Massimo Panella Denis Kleyko 71 18 0 02 Jun 2021
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence Emna Baccour N. Mhaisen A. Abdellatif A. Erbad Amr M. Mohamed Mounir Hamdi Mohsen Guizani 98 93 0 04 May 2021
From Distributed Machine Learning to Federated Learning: A Survey Ji Liu Jizhou Huang Yang Zhou Xuhong Li Shilei Ji Haoyi Xiong Dejing Dou FedML OOD 142 262 0 29 Apr 2021
Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices Max Ryabinin Eduard A. Gorbunov Vsevolod Plokhotnyuk Gennady Pekhimenko 131 35 0 04 Mar 2021
Peering Beyond the Gradient Veil with Distributed Auto Differentiation Bradley T. Baker Aashis Khanal Vince D. Calhoun Barak A. Pearlmutter Sergey Plis 47 1 0 18 Feb 2021
An Efficient Statistical-based Gradient Compression Technique for Distributed Training Systems A. Abdelmoniem Ahmed Elzanaty Mohamed-Slim Alouini Marco Canini 123 77 0 26 Jan 2021
Design and Analysis of Uplink and Downlink Communications for Federated Learning Sihui Zheng Cong Shen Xiang Chen 91 148 0 07 Dec 2020
SGD_Tucker: A Novel Stochastic Optimization Strategy for Parallel Sparse Tucker Decomposition Hao Li Zixuan Li KenLi Li Jan S. Rellermeyer L. Chen Keqin Li 77 7 0 07 Dec 2020
Machine Learning Systems in the IoT: Trustworthiness Trade-offs for Edge Intelligence Wiebke Toussaint Aaron Yi Ding 81 12 0 01 Dec 2020
AI Governance for Businesses Johannes Schneider Rene Abraham Christian Meske Jan vom Brocke AI4TS 101 70 0 20 Nov 2020
Echo-CGC: A Communication-Efficient Byzantine-tolerant Distributed Machine Learning Algorithm in Single-Hop Radio Network Qinzi Zhang Lewis Tseng 72 2 0 15 Nov 2020
Distributed Machine Learning for Computational Engineering using MPI Kailai Xu Weiqiang Zhu Eric F. Darve AI4CE 67 7 0 02 Nov 2020
Wireless Control for Smart Manufacturing: Recent Approaches and Open Challenges Dominik Baumann Fabian Mager Ulf Wetzker Lothar Thiele Marco Zimmerling Sebastian Trimpe AI4CE 15 50 0 18 Oct 2020
Flow-FL: Data-Driven Federated Learning for Spatio-Temporal Predictions in Multi-Robot Systems Nathalie Majcherczyk Nishan Srishankar Carlo Pinciroli FedML AI4CE 46 31 0 16 Oct 2020
HAMLET: A Hierarchical Agent-based Machine Learning Platform Ahmad Esmaeili J. Gallagher John A. Springer Eric T. Matson 33 5 0 10 Oct 2020
Artificial Intelligence: Research Impact on Key Industries; the Upper-Rhine Artificial Intelligence Symposium (UR-AI 2020) Andreas H. Christ Franz Quint AI4CE 55 0 0 05 Oct 2020
GraphFederator: Federated Visual Analysis for Multi-party Graphs Dongming Han Wei Chen Rusheng Pan Yijing Liu Jiehui Zhou ... Tianye Zhang Changjie Fan Jianrong Tao Xiaolong Luke Zhang Hao Feng FedML 50 1 0 27 Aug 2020
A Survey on Device Behavior Fingerprinting: Data Sources, Techniques, Application Scenarios, and Datasets Pedro Miguel Sánchez Sánchez José María Jorquera Valero Alberto Huertas Celdrán Gérome Bovet M. Pérez Gregorio Martínez Pérez 65 98 0 07 Aug 2020
Learning Forward Reuse Distance Pengcheng Li Yongbin Gu 35 10 0 31 Jul 2020
Federated and continual learning for classification tasks in a society of devices F. Casado Dylan Lema R. Iglesias Carlos V. Regueiro S. Barro FedML 67 2 0 12 Jun 2020
Scalable Privacy-Preserving Distributed Learning D. Froelicher J. Troncoso-Pastoriza Apostolos Pyrgelis Sinem Sav João Sá Sousa Jean-Philippe Bossuat Jean-Pierre Hubaux FedML 95 70 0 19 May 2020
Generalization Error for Linear Regression under Distributed Learning Martin Hellkvist Ayça Özçelikkale Anders Ahlén FedML 23 6 0 30 Apr 2020
FedCoin: A Peer-to-Peer Payment System for Federated Learning Yuan Liu Shuai Sun Zhengpeng Ai Shuangfeng Zhang Zelei Liu Han Yu FedML 84 115 0 26 Feb 2020
Two Efficient Ridge Solutions for the Incremental Broad Learning System on Added Inputs Hufei Zhu 22 1 0 12 Nov 2019
Two Ridge Solutions for the Incremental Broad Learning System on Added Nodes Hufei Zhu 13 2 0 12 Nov 2019