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A Survey on Distributed Machine Learning

A Survey on Distributed Machine Learning

20 December 2019
Joost Verbraeken
Matthijs Wolting
J. Katzy
Jeroen Kloppenburg
Tim Verbelen
Jan S. Rellermeyer
    OOD
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Papers citing "A Survey on Distributed Machine Learning"

19 / 69 papers shown
Title
HeterPS: Distributed Deep Learning With Reinforcement Learning Based
  Scheduling in Heterogeneous Environments
HeterPS: Distributed Deep Learning With Reinforcement Learning Based Scheduling in Heterogeneous Environments
Ji Liu
Zhihua Wu
Dianhai Yu
Yanjun Ma
Danlei Feng
Minxu Zhang
Xinxuan Wu
Xuefeng Yao
Dejing Dou
18
44
0
20 Nov 2021
Fairness, Integrity, and Privacy in a Scalable Blockchain-based
  Federated Learning System
Fairness, Integrity, and Privacy in a Scalable Blockchain-based Federated Learning System
Timon Rückel
Johannes Sedlmeir
Peter Hofmann
FedML
24
58
0
11 Nov 2021
FedHe: Heterogeneous Models and Communication-Efficient Federated
  Learning
FedHe: Heterogeneous Models and Communication-Efficient Federated Learning
Chan Yun Hin
Edith C.H. Ngai
FedML
19
24
0
19 Oct 2021
FedTune: Automatic Tuning of Federated Learning Hyper-Parameters from
  System Perspective
FedTune: Automatic Tuning of Federated Learning Hyper-Parameters from System Perspective
Huan Zhang
Mi Zhang
Xin Liu
P. Mohapatra
Michael DeLucia
FedML
31
18
0
06 Oct 2021
LIBRA: Enabling Workload-aware Multi-dimensional Network Topology
  Optimization for Distributed Training of Large AI Models
LIBRA: Enabling Workload-aware Multi-dimensional Network Topology Optimization for Distributed Training of Large AI Models
William Won
Saeed Rashidi
Sudarshan Srinivasan
T. Krishna
AI4CE
22
8
0
24 Sep 2021
Asynchronous Federated Learning on Heterogeneous Devices: A Survey
Asynchronous Federated Learning on Heterogeneous Devices: A Survey
Chenhao Xu
Youyang Qu
Yong Xiang
Longxiang Gao
FedML
104
245
0
09 Sep 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified
  Framework for Graph Neural Networks
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
53
18
0
21 Jul 2021
AI in Finance: Challenges, Techniques and Opportunities
AI in Finance: Challenges, Techniques and Opportunities
LongBing Cao
AIFin
36
240
0
20 Jul 2021
Active Learning in Robotics: A Review of Control Principles
Active Learning in Robotics: A Review of Control Principles
Annalisa T. Taylor
Thomas A. Berrueta
Todd D. Murphey
27
71
0
25 Jun 2021
Pervasive AI for IoT applications: A Survey on Resource-efficient
  Distributed Artificial Intelligence
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
30
87
0
04 May 2021
From Distributed Machine Learning to Federated Learning: A Survey
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
56
244
0
29 Apr 2021
Moshpit SGD: Communication-Efficient Decentralized Training on
  Heterogeneous Unreliable Devices
Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices
Max Ryabinin
Eduard A. Gorbunov
Vsevolod Plokhotnyuk
Gennady Pekhimenko
37
32
0
04 Mar 2021
Design and Analysis of Uplink and Downlink Communications for Federated
  Learning
Design and Analysis of Uplink and Downlink Communications for Federated Learning
Sihui Zheng
Cong Shen
Xiang Chen
39
140
0
07 Dec 2020
Machine Learning Systems in the IoT: Trustworthiness Trade-offs for Edge
  Intelligence
Machine Learning Systems in the IoT: Trustworthiness Trade-offs for Edge Intelligence
Wiebke Toussaint
Aaron Yi Ding
35
11
0
01 Dec 2020
AI Governance for Businesses
AI Governance for Businesses
Johannes Schneider
Rene Abraham
Christian Meske
Jan vom Brocke
AI4TS
16
67
0
20 Nov 2020
A Survey on Device Behavior Fingerprinting: Data Sources, Techniques,
  Application Scenarios, and Datasets
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
27
95
0
07 Aug 2020
Federated and continual learning for classification tasks in a society
  of devices
Federated and continual learning for classification tasks in a society of devices
F. Casado
Dylan Lema
R. Iglesias
Carlos V. Regueiro
S. Barro
FedML
27
2
0
12 Jun 2020
FedCoin: A Peer-to-Peer Payment System for Federated Learning
FedCoin: A Peer-to-Peer Payment System for Federated Learning
Yuan Liu
Shuai Sun
Zhengpeng Ai
Shuangfeng Zhang
Zelei Liu
Han Yu
FedML
27
115
0
26 Feb 2020
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,639
0
03 Jul 2012
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