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Stochastic Gradient Descent without Full Data Shuffle

Stochastic Gradient Descent without Full Data Shuffle

The VLDB journal (VLDBJ), 2022
12 June 2022
Lijie Xu
Delin Qu
Binhang Yuan
Jiawei Jiang
Cédric Renggli
Shaoduo Gan
Kaan Kara
Guoliang Li
Ji Liu
Wentao Wu
Jieping Ye
Ce Zhang
ArXiv (abs)PDFHTML

Papers citing "Stochastic Gradient Descent without Full Data Shuffle"

3 / 3 papers shown
Title
GCON: Differentially Private Graph Convolutional Network via Objective Perturbation
GCON: Differentially Private Graph Convolutional Network via Objective Perturbation
Jianxin Wei
Yizheng Zhu
Xiaokui Xiao
Ergute Bao
Yin Yang
Kuntai Cai
Beng Chin Ooi
AAML
265
0
0
06 Jul 2024
Reawakening knowledge: Anticipatory recovery from catastrophic
  interference via structured training
Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured trainingNeural Information Processing Systems (NeurIPS), 2024
Yanlai Yang
Matt Jones
Michael C. Mozer
Mengye Ren
199
4
0
14 Mar 2024
Corgi^2: A Hybrid Offline-Online Approach To Storage-Aware Data
  Shuffling For SGD
Corgi^2: A Hybrid Offline-Online Approach To Storage-Aware Data Shuffling For SGD
Etay Livne
Gal Kaplun
Eran Malach
Shai Shalev-Schwatz
OffRL
176
0
0
04 Sep 2023
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