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Parity Models: A General Framework for Coding-Based Resilience in ML
  Inference

Parity Models: A General Framework for Coding-Based Resilience in ML Inference

2 May 2019
J. Kosaian
K. V. Rashmi
Shivaram Venkataraman
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Papers citing "Parity Models: A General Framework for Coding-Based Resilience in ML Inference"

4 / 4 papers shown
Title
Erasure Coded Neural Network Inference via Fisher Averaging
Erasure Coded Neural Network Inference via Fisher Averaging
Divyansh Jhunjhunwala
Neharika Jali
Gauri Joshi
Shiqiang Wang
MoMe
FedML
31
1
0
02 Sep 2024
Lightweight Projective Derivative Codes for Compressed Asynchronous
  Gradient Descent
Lightweight Projective Derivative Codes for Compressed Asynchronous Gradient Descent
Pedro Soto
Ilia Ilmer
Haibin Guan
Jun Li
38
3
0
31 Jan 2022
Rateless Codes for Near-Perfect Load Balancing in Distributed
  Matrix-Vector Multiplication
Rateless Codes for Near-Perfect Load Balancing in Distributed Matrix-Vector Multiplication
Ankur Mallick
Malhar Chaudhari
Utsav Sheth
Ganesh Palanikumar
Gauri Joshi
19
141
0
27 Apr 2018
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
274
5,331
0
05 Nov 2016
1