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Straggler Mitigation in Distributed Matrix Multiplication: Fundamental
  Limits and Optimal Coding

Straggler Mitigation in Distributed Matrix Multiplication: Fundamental Limits and Optimal Coding

23 January 2018
Qian-long Yu
M. Maddah-ali
A. Avestimehr
ArXivPDFHTML

Papers citing "Straggler Mitigation in Distributed Matrix Multiplication: Fundamental Limits and Optimal Coding"

6 / 6 papers shown
Title
Private Retrieval, Computing and Learning: Recent Progress and Future
  Challenges
Private Retrieval, Computing and Learning: Recent Progress and Future Challenges
S. Ulukus
Salman Avestimehr
Michael C. Gastpar
S. Jafar
Ravi Tandon
Chao Tian
FedML
43
66
0
30 Jul 2021
Federated Learning with Buffered Asynchronous Aggregation
Federated Learning with Buffered Asynchronous Aggregation
John Nguyen
Kshitiz Malik
Hongyuan Zhan
Ashkan Yousefpour
Michael G. Rabbat
Mani Malek
Dzmitry Huba
FedML
43
291
0
11 Jun 2021
Coded Secure Multi-Party Computation for Massive Matrices with
  Adversarial Nodes
Coded Secure Multi-Party Computation for Massive Matrices with Adversarial Nodes
Seyed Reza Hoseini Najarkolaei
M. Maddah-ali
M. R. Aref
25
8
0
10 Apr 2020
Erasure coding for distributed matrix multiplication for matrices with
  bounded entries
Erasure coding for distributed matrix multiplication for matrices with bounded entries
Li Tang
Konstantinos Konstantinidis
Tianyi Zhou
34
20
0
06 Nov 2018
Lagrange Coded Computing: Optimal Design for Resiliency, Security and
  Privacy
Lagrange Coded Computing: Optimal Design for Resiliency, Security and Privacy
Qian-long Yu
Songze Li
Netanel Raviv
Seyed Mohammadreza Mousavi Kalan
Jinhyun So
A. Avestimehr
47
383
0
04 Jun 2018
Compressed Coded Distributed Computing
Compressed Coded Distributed Computing
Songze Li
M. Maddah-ali
A. Avestimehr
24
35
0
05 May 2018
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