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GT-STORM: Taming Sample, Communication, and Memory Complexities in
  Decentralized Non-Convex Learning

GT-STORM: Taming Sample, Communication, and Memory Complexities in Decentralized Non-Convex Learning

4 May 2021
Xin Zhang
Jia Liu
Zhengyuan Zhu
Elizabeth S. Bentley
ArXivPDFHTML

Papers citing "GT-STORM: Taming Sample, Communication, and Memory Complexities in Decentralized Non-Convex Learning"

2 / 2 papers shown
Title
Achieving Linear Speedup in Decentralized Stochastic Compositional
  Minimax Optimization
Achieving Linear Speedup in Decentralized Stochastic Compositional Minimax Optimization
Hongchang Gao
30
1
0
25 Jul 2023
Distributed Stochastic Multi-Task Learning with Graph Regularization
Distributed Stochastic Multi-Task Learning with Graph Regularization
Weiran Wang
Jialei Wang
Mladen Kolar
Nathan Srebro
FedML
27
21
0
11 Feb 2018
1