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2202.08402
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Federated Stochastic Gradient Descent Begets Self-Induced Momentum
17 February 2022
Howard H. Yang
Zuozhu Liu
Yaru Fu
Tony Q.S. Quek
H. Vincent Poor
FedML
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Papers citing
"Federated Stochastic Gradient Descent Begets Self-Induced Momentum"
9 / 9 papers shown
Title
Faster On-Device Training Using New Federated Momentum Algorithm
Zhouyuan Huo
Qian Yang
Bin Gu
Heng-Chiao Huang
FedML
176
47
0
06 Feb 2020
A Joint Learning and Communications Framework for Federated Learning over Wireless Networks
Mingzhe Chen
Zhaohui Yang
Walid Saad
Changchuan Yin
H. Vincent Poor
Shuguang Cui
FedML
76
1,189
0
17 Sep 2019
Tighter Theory for Local SGD on Identical and Heterogeneous Data
Ahmed Khaled
Konstantin Mishchenko
Peter Richtárik
74
434
0
10 Sep 2019
The Roadmap to 6G -- AI Empowered Wireless Networks
Khaled B. Letaief
Wei Chen
Yuanming Shi
Jun Zhang
Y. Zhang
56
1,365
0
26 Apr 2019
Toward Understanding the Impact of Staleness in Distributed Machine Learning
Wei-Ming Dai
Yi Zhou
Nanqing Dong
Huatian Zhang
Eric Xing
60
80
0
08 Oct 2018
A Tight Convergence Analysis for Stochastic Gradient Descent with Delayed Updates
Yossi Arjevani
Ohad Shamir
Nathan Srebro
70
63
0
26 Jun 2018
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning
Tianyi Chen
G. Giannakis
Tao Sun
W. Yin
55
298
0
25 May 2018
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang
Tiffany Tuor
Theodoros Salonidis
K. Leung
C. Makaya
T. He
Kevin S. Chan
254
1,709
0
14 Apr 2018
Federated Learning: Strategies for Improving Communication Efficiency
Jakub Konecný
H. B. McMahan
Felix X. Yu
Peter Richtárik
A. Suresh
Dave Bacon
FedML
306
4,649
0
18 Oct 2016
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