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STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal
  Sample and Communication Complexities for Federated Learning

STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning

19 June 2021
Prashant Khanduri
Pranay Sharma
Haibo Yang
Min-Fong Hong
Jia Liu
K. Rajawat
P. Varshney
    FedML
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Papers citing "STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning"

13 / 13 papers shown
Title
The Limits and Potentials of Local SGD for Distributed Heterogeneous
  Learning with Intermittent Communication
The Limits and Potentials of Local SGD for Distributed Heterogeneous Learning with Intermittent Communication
Kumar Kshitij Patel
Margalit Glasgow
Ali Zindari
Lingxiao Wang
Sebastian U. Stich
Ziheng Cheng
Nirmit Joshi
Nathan Srebro
48
6
0
19 May 2024
Understanding Server-Assisted Federated Learning in the Presence of
  Incomplete Client Participation
Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation
Haibo Yang
Pei-Yuan Qiu
Prashant Khanduri
Minghong Fang
Jia Liu
FedML
40
1
0
04 May 2024
FedDRO: Federated Compositional Optimization for Distributionally Robust
  Learning
FedDRO: Federated Compositional Optimization for Distributionally Robust Learning
Prashant Khanduri
Chengyin Li
Rafi Ibn Sultan
Yao Qiang
Joerg Kliewer
Dongxiao Zhu
39
0
0
21 Nov 2023
Oracle Complexity Reduction for Model-free LQR: A Stochastic
  Variance-Reduced Policy Gradient Approach
Oracle Complexity Reduction for Model-free LQR: A Stochastic Variance-Reduced Policy Gradient Approach
Leonardo F. Toso
Han Wang
James Anderson
37
2
0
19 Sep 2023
Fast Adaptive Federated Bilevel Optimization
Fast Adaptive Federated Bilevel Optimization
Feihu Huang
FedML
20
7
0
02 Nov 2022
Taming Fat-Tailed ("Heavier-Tailed'' with Potentially Infinite Variance)
  Noise in Federated Learning
Taming Fat-Tailed ("Heavier-Tailed'' with Potentially Infinite Variance) Noise in Federated Learning
Haibo Yang
Pei-Yuan Qiu
Jia Liu
FedML
27
12
0
03 Oct 2022
On the Convergence of Multi-Server Federated Learning with Overlapping
  Area
On the Convergence of Multi-Server Federated Learning with Overlapping Area
Zhe Qu
Xingyu Li
Jie Xu
Bo Tang
Zhuo Lu
Yao-Hong Liu
FedML
50
14
0
16 Aug 2022
Accelerated Federated Learning with Decoupled Adaptive Optimization
Accelerated Federated Learning with Decoupled Adaptive Optimization
Jiayin Jin
Jiaxiang Ren
Yang Zhou
Lingjuan Lyu
Ji Liu
Dejing Dou
AI4CE
FedML
19
51
0
14 Jul 2022
FedSSO: A Federated Server-Side Second-Order Optimization Algorithm
FedSSO: A Federated Server-Side Second-Order Optimization Algorithm
Xinteng Ma
Renyi Bao
Jinpeng Jiang
Yang Liu
Arthur Jiang
Junhua Yan
Xin Liu
Zhisong Pan
FedML
32
6
0
20 Jun 2022
Generalized Federated Learning via Sharpness Aware Minimization
Generalized Federated Learning via Sharpness Aware Minimization
Zhe Qu
Xingyu Li
Rui Duan
Yaojiang Liu
Bo Tang
Zhuo Lu
FedML
31
131
0
06 Jun 2022
On the Convergence of Momentum-Based Algorithms for Federated Bilevel
  Optimization Problems
On the Convergence of Momentum-Based Algorithms for Federated Bilevel Optimization Problems
Hongchang Gao
FedML
28
1
0
28 Apr 2022
FedADC: Accelerated Federated Learning with Drift Control
FedADC: Accelerated Federated Learning with Drift Control
Emre Ozfatura
Kerem Ozfatura
Deniz Gunduz
FedML
43
37
0
16 Dec 2020
Faster Non-Convex Federated Learning via Global and Local Momentum
Faster Non-Convex Federated Learning via Global and Local Momentum
Rudrajit Das
Anish Acharya
Abolfazl Hashemi
Sujay Sanghavi
Inderjit S. Dhillon
Ufuk Topcu
FedML
37
82
0
07 Dec 2020
1