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Effective Parallelisation for Machine Learning

Effective Parallelisation for Machine Learning

8 October 2018
Michael Kamp
Mario Boley
Olana Missura
Thomas Gärtner
ArXiv (abs)PDFHTML

Papers citing "Effective Parallelisation for Machine Learning"

5 / 5 papers shown
Title
Federated Learning from Small Datasets
Federated Learning from Small Datasets
Michael Kamp
Jonas Fischer
Jilles Vreeken
FedML
85
29
0
07 Oct 2021
Distributed Learning Systems with First-order Methods
Distributed Learning Systems with First-order Methods
Ji Liu
Ce Zhang
36
44
0
12 Apr 2021
Resource-Constrained On-Device Learning by Dynamic Averaging
Resource-Constrained On-Device Learning by Dynamic Averaging
Lukas Heppe
Michael Kamp
Linara Adilova
Danny Heinrich
Nico Piatkowski
K. Morik
38
2
0
25 Sep 2020
Introducing Noise in Decentralized Training of Neural Networks
Introducing Noise in Decentralized Training of Neural Networks
Linara Adilova
Nathalie Paul
Peter Schlicht
22
5
0
27 Sep 2018
Efficient Decentralized Deep Learning by Dynamic Model Averaging
Efficient Decentralized Deep Learning by Dynamic Model Averaging
Michael Kamp
Linara Adilova
Joachim Sicking
Fabian Hüger
Peter Schlicht
Tim Wirtz
Stefan Wrobel
88
129
0
09 Jul 2018
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