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Approximate Gradient Coding via Sparse Random Graphs

Approximate Gradient Coding via Sparse Random Graphs

17 November 2017
Zachary B. Charles
Dimitris Papailiopoulos
J. Ellenberg
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Papers citing "Approximate Gradient Coding via Sparse Random Graphs"

12 / 12 papers shown
Title
Orthonormal Sketches for Secure Coded Regression
Orthonormal Sketches for Secure Coded Regression
Neophytos Charalambides
Hessam Mahdavifar
Mert Pilanci
Alfred Hero
30
8
0
21 Jan 2022
A Survey on Fault-tolerance in Distributed Optimization and Machine
  Learning
A Survey on Fault-tolerance in Distributed Optimization and Machine Learning
Shuo Liu
AI4CE
OOD
58
13
0
16 Jun 2021
Soft BIBD and Product Gradient Codes
Soft BIBD and Product Gradient Codes
Animesh Sakorikar
Lele Wang
29
5
0
11 May 2021
On Gradient Coding with Partial Recovery
On Gradient Coding with Partial Recovery
Sahasrajit Sarmasarkar
V. Lalitha
Nikhil Karamchandani
26
8
0
19 Feb 2021
Coded Computing for Low-Latency Federated Learning over Wireless Edge
  Networks
Coded Computing for Low-Latency Federated Learning over Wireless Edge Networks
Saurav Prakash
S. Dhakal
M. Akdeniz
Yair Yona
S. Talwar
Salman Avestimehr
N. Himayat
FedML
35
92
0
12 Nov 2020
Communication-Efficient Gradient Coding for Straggler Mitigation in
  Distributed Learning
Communication-Efficient Gradient Coding for Straggler Mitigation in Distributed Learning
S. Kadhe
O. O. Koyluoglu
Kannan Ramchandran
32
11
0
14 May 2020
LAGC: Lazily Aggregated Gradient Coding for Straggler-Tolerant and
  Communication-Efficient Distributed Learning
LAGC: Lazily Aggregated Gradient Coding for Straggler-Tolerant and Communication-Efficient Distributed Learning
Jingjing Zhang
Osvaldo Simeone
18
31
0
22 May 2019
Robust Gradient Descent via Moment Encoding with LDPC Codes
Robust Gradient Descent via Moment Encoding with LDPC Codes
R. Maity
A. S. Rawat
A. Mazumdar
30
41
0
22 May 2018
DRACO: Byzantine-resilient Distributed Training via Redundant Gradients
DRACO: Byzantine-resilient Distributed Training via Redundant Gradients
Lingjiao Chen
Hongyi Wang
Zachary B. Charles
Dimitris Papailiopoulos
19
243
0
27 Mar 2018
Slow and Stale Gradients Can Win the Race: Error-Runtime Trade-offs in
  Distributed SGD
Slow and Stale Gradients Can Win the Race: Error-Runtime Trade-offs in Distributed SGD
Sanghamitra Dutta
Gauri Joshi
Soumyadip Ghosh
Parijat Dube
P. Nagpurkar
31
194
0
03 Mar 2018
Coded Computing for Distributed Graph Analytics
Coded Computing for Distributed Graph Analytics
Saurav Prakash
Amirhossein Reisizadeh
Ramtin Pedarsani
A. Avestimehr
18
50
0
17 Jan 2018
Hierarchical Coding for Distributed Computing
Hierarchical Coding for Distributed Computing
Hyegyeong Park
Kangwook Lee
Jy-yong Sohn
Changho Suh
Jaekyun Moon
28
74
0
15 Jan 2018
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