ResearchTrend.AI
Near-Optimal Straggler Mitigation for Distributed Gradient Methods

Near-Optimal Straggler Mitigation for Distributed Gradient Methods

Songze Li
Seyed Mohammadreza Mousavi Kalan
A. Avestimehr
Mahdi Soltanolkotabi
ArXivPDFHTML

Papers citing "Near-Optimal Straggler Mitigation for Distributed Gradient Methods"

6 / 6 papers shown
Title
On Heterogeneous Coded Distributed Computing
On Heterogeneous Coded Distributed Computing
Mehrdad Kiamari
Chenwei Wang
A. Avestimehr
48
57
0
01 Sep 2017
Gradient Coding from Cyclic MDS Codes and Expander Graphs
Gradient Coding from Cyclic MDS Codes and Expander Graphs
Netanel Raviv
Itzhak Tamo
Rashish Tandon
A. Dimakis
34
182
0
12 Jul 2017
Improving Distributed Gradient Descent Using Reed-Solomon Codes
Improving Distributed Gradient Descent Using Reed-Solomon Codes
Wael Halbawi
Navid Azizan
Fariborz Salehi
B. Hassibi
AI4CE
FedML
41
157
0
16 Jun 2017
A Unified Coding Framework for Distributed Computing with Straggling Servers
A Unified Coding Framework for Distributed Computing with Straggling Servers
Songze Li
M. Maddah-ali
A. Avestimehr
39
176
0
06 Sep 2016
A Scalable Framework for Wireless Distributed Computing
A Scalable Framework for Wireless Distributed Computing
Songze Li
Qian-long Yu
M. Maddah-ali
A. Avestimehr
35
123
0
19 Aug 2016
Speeding Up Distributed Machine Learning Using Codes
Speeding Up Distributed Machine Learning Using Codes
Kangwook Lee
Maximilian Lam
Ramtin Pedarsani
Dimitris Papailiopoulos
Kannan Ramchandran
140
856
0
08 Dec 2015