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An Asynchronous Mini-Batch Algorithm for Regularized Stochastic
  Optimization

An Asynchronous Mini-Batch Algorithm for Regularized Stochastic Optimization

18 May 2015
Hamid Reza Feyzmahdavian
Arda Aytekin
M. Johansson
ArXivPDFHTML

Papers citing "An Asynchronous Mini-Batch Algorithm for Regularized Stochastic Optimization"

28 / 28 papers shown
Title
Ringmaster ASGD: The First Asynchronous SGD with Optimal Time Complexity
Ringmaster ASGD: The First Asynchronous SGD with Optimal Time Complexity
Artavazd Maranjyan
A. Tyurin
Peter Richtárik
49
3
0
27 Jan 2025
Faster Stochastic Optimization with Arbitrary Delays via Asynchronous
  Mini-Batching
Faster Stochastic Optimization with Arbitrary Delays via Asynchronous Mini-Batching
Amit Attia
Ofir Gaash
Tomer Koren
40
0
0
14 Aug 2024
Reputation-Driven Asynchronous Federated Learning for Enhanced
  Trajectory Prediction with Blockchain
Reputation-Driven Asynchronous Federated Learning for Enhanced Trajectory Prediction with Blockchain
Weiliang Chen
Li Jia
Yang Zhou
Qianqian Ren
34
0
0
28 Jul 2024
Ordered Momentum for Asynchronous SGD
Ordered Momentum for Asynchronous SGD
Chang-Wei Shi
Yi-Rui Yang
Wu-Jun Li
ODL
67
0
0
27 Jul 2024
Federated Multi-Level Optimization over Decentralized Networks
Federated Multi-Level Optimization over Decentralized Networks
Shuoguang Yang
Xuezhou Zhang
Mengdi Wang
AI4CE
28
0
0
10 Oct 2023
Convergence Analysis of Decentralized ASGD
Convergence Analysis of Decentralized ASGD
Mauro Dalle Lucca Tosi
Martin Theobald
35
2
0
07 Sep 2023
Stability and Convergence of Distributed Stochastic Approximations with
  large Unbounded Stochastic Information Delays
Stability and Convergence of Distributed Stochastic Approximations with large Unbounded Stochastic Information Delays
Adrian Redder
Arunselvan Ramaswamy
Holger Karl
25
1
0
11 May 2023
Impact of Redundancy on Resilience in Distributed Optimization and
  Learning
Impact of Redundancy on Resilience in Distributed Optimization and Learning
Shuo Liu
Nirupam Gupta
Nitin H. Vaidya
39
2
0
16 Nov 2022
Unbounded Gradients in Federated Learning with Buffered Asynchronous
  Aggregation
Unbounded Gradients in Federated Learning with Buffered Asynchronous Aggregation
Taha Toghani
César A. Uribe
FedML
45
14
0
03 Oct 2022
Asynchronous Training Schemes in Distributed Learning with Time Delay
Asynchronous Training Schemes in Distributed Learning with Time Delay
Haoxiang Wang
Zhanhong Jiang
Chao Liu
Soumik Sarkar
D. Jiang
Young M. Lee
42
2
0
28 Aug 2022
Decentralized Gossip-Based Stochastic Bilevel Optimization over
  Communication Networks
Decentralized Gossip-Based Stochastic Bilevel Optimization over Communication Networks
Shuoguang Yang
Xuezhou Zhang
Mengdi Wang
40
42
0
22 Jun 2022
Analysis and Evaluation of Synchronous and Asynchronous FLchain
Analysis and Evaluation of Synchronous and Asynchronous FLchain
F. Wilhelmi
L. Giupponi
Paolo Dini
28
5
0
15 Dec 2021
Distributed stochastic optimization with large delays
Distributed stochastic optimization with large delays
Zhengyuan Zhou
P. Mertikopoulos
Nicholas Bambos
Peter Glynn
Yinyu Ye
28
9
0
06 Jul 2021
Fast Federated Learning in the Presence of Arbitrary Device
  Unavailability
Fast Federated Learning in the Presence of Arbitrary Device Unavailability
Xinran Gu
Kaixuan Huang
Jingzhao Zhang
Longbo Huang
FedML
35
96
0
08 Jun 2021
Asynchronous Distributed Optimization with Redundancy in Cost Functions
Asynchronous Distributed Optimization with Redundancy in Cost Functions
Shuo Liu
Nirupam Gupta
Nitin H. Vaidya
31
3
0
07 Jun 2021
Moshpit SGD: Communication-Efficient Decentralized Training on
  Heterogeneous Unreliable Devices
Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices
Max Ryabinin
Eduard A. Gorbunov
Vsevolod Plokhotnyuk
Gennady Pekhimenko
42
33
0
04 Mar 2021
Anytime Minibatch with Delayed Gradients
Anytime Minibatch with Delayed Gradients
H. Al-Lawati
S. Draper
25
0
0
15 Dec 2020
Distributed Training of Deep Learning Models: A Taxonomic Perspective
Distributed Training of Deep Learning Models: A Taxonomic Perspective
M. Langer
Zhen He
W. Rahayu
Yanbo Xue
30
76
0
08 Jul 2020
Multi-Agent Meta-Reinforcement Learning for Self-Powered and Sustainable
  Edge Computing Systems
Multi-Agent Meta-Reinforcement Learning for Self-Powered and Sustainable Edge Computing Systems
M. S. Munir
N. H. Tran
Walid Saad
Choong Seon Hong
24
19
0
20 Feb 2020
Asynchronous Federated Learning with Differential Privacy for Edge
  Intelligence
Asynchronous Federated Learning with Differential Privacy for Edge Intelligence
Yanan Li
Shusen Yang
Xuebin Ren
Cong Zhao
FedML
19
33
0
17 Dec 2019
The Error-Feedback Framework: Better Rates for SGD with Delayed
  Gradients and Compressed Communication
The Error-Feedback Framework: Better Rates for SGD with Delayed Gradients and Compressed Communication
Sebastian U. Stich
Sai Praneeth Karimireddy
FedML
25
20
0
11 Sep 2019
A Tight Convergence Analysis for Stochastic Gradient Descent with
  Delayed Updates
A Tight Convergence Analysis for Stochastic Gradient Descent with Delayed Updates
Yossi Arjevani
Ohad Shamir
Nathan Srebro
16
63
0
26 Jun 2018
Graph Oracle Models, Lower Bounds, and Gaps for Parallel Stochastic
  Optimization
Graph Oracle Models, Lower Bounds, and Gaps for Parallel Stochastic Optimization
Blake E. Woodworth
Jialei Wang
Adam D. Smith
H. B. McMahan
Nathan Srebro
24
123
0
25 May 2018
Stochastic Gradient MCMC with Stale Gradients
Stochastic Gradient MCMC with Stale Gradients
Changyou Chen
Nan Ding
Chunyuan Li
Yizhe Zhang
Lawrence Carin
BDL
46
23
0
21 Oct 2016
Analysis and Implementation of an Asynchronous Optimization Algorithm
  for the Parameter Server
Analysis and Implementation of an Asynchronous Optimization Algorithm for the Parameter Server
Arda Aytekin
Hamid Reza Feyzmahdavian
M. Johansson
39
54
0
18 Oct 2016
Level Up Your Strategy: Towards a Descriptive Framework for Meaningful
  Enterprise Gamification
Level Up Your Strategy: Towards a Descriptive Framework for Meaningful Enterprise Gamification
Xinghao Pan
33
62
0
29 May 2016
Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization
Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization
Xiangru Lian
Yijun Huang
Y. Li
Ji Liu
36
500
0
27 Jun 2015
Optimal Distributed Online Prediction using Mini-Batches
Optimal Distributed Online Prediction using Mini-Batches
O. Dekel
Ran Gilad-Bachrach
Ohad Shamir
Lin Xiao
184
683
0
07 Dec 2010
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