Achieving Linear Speedup in Decentralized Stochastic Compositional Minimax Optimization

25 July 2023

Papers citing "Achieving Linear Speedup in Decentralized Stochastic Compositional Minimax Optimization"

5 / 5 papers shown

Title
Decentralized Multi-Level Compositional Optimization Algorithms with Level-Independent Convergence Rate Hongchang Gao 11 0 0 06 Jun 2023
GT-STORM: Taming Sample, Communication, and Memory Complexities in Decentralized Non-Convex Learning Xin Zhang Jia Liu Zhengyuan Zhu Elizabeth S. Bentley 19 14 0 04 May 2021
DecentLaM: Decentralized Momentum SGD for Large-batch Deep Training Kun Yuan Yiming Chen Xinmeng Huang Yingya Zhang Pan Pan Yinghui Xu W. Yin MoE 38 60 0 24 Apr 2021
Solving Stochastic Compositional Optimization is Nearly as Easy as Solving Stochastic Optimization Tianyi Chen Yuejiao Sun W. Yin 44 81 0 25 Aug 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 237 11,568 0 09 Mar 2017