ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1910.08701
  4. Cited By
Robust Distributed Accelerated Stochastic Gradient Methods for
  Multi-Agent Networks
v1v2v3v4 (latest)

Robust Distributed Accelerated Stochastic Gradient Methods for Multi-Agent Networks

Journal of machine learning research (JMLR), 2019
19 October 2019
Alireza Fallah
Mert Gurbuzbalaban
Asuman Ozdaglar
Umut Simsekli
Lingjiong Zhu
ArXiv (abs)PDFHTML

Papers citing "Robust Distributed Accelerated Stochastic Gradient Methods for Multi-Agent Networks"

14 / 14 papers shown
Title
DIGing--SGLD: Decentralized and Scalable Langevin Sampling over Time--Varying Networks
DIGing--SGLD: Decentralized and Scalable Langevin Sampling over Time--Varying Networks
W. Bajwa
Mert Gurbuzbalaban
Mustafa Ali Kutbay
Lingjiong Zhu
Muhammad Zulqarnain
33
0
0
16 Nov 2025
Accelerated Gradient Methods with Biased Gradient Estimates: Risk Sensitivity, High-Probability Guarantees, and Large Deviation Bounds
Accelerated Gradient Methods with Biased Gradient Estimates: Risk Sensitivity, High-Probability Guarantees, and Large Deviation Bounds
Mert Gurbuzbalaban
Yasa Syed
Necdet Serhat Aybat
131
0
0
17 Sep 2025
Accelerating Distributed Optimization: A Primal-Dual Perspective on
  Local Steps
Accelerating Distributed Optimization: A Primal-Dual Perspective on Local Steps
Junchi Yang
Murat Yildirim
Qiu Feng
324
1
0
02 Jul 2024
A cutting-surface consensus approach for distributed robust optimization
  of multi-agent systems
A cutting-surface consensus approach for distributed robust optimization of multi-agent systemsIEEE Transactions on Automatic Control (TAC), 2023
Jun Fu
Xunhao Wu
251
3
0
07 Sep 2023
Uniform-in-Time Wasserstein Stability Bounds for (Noisy) Stochastic
  Gradient Descent
Uniform-in-Time Wasserstein Stability Bounds for (Noisy) Stochastic Gradient DescentNeural Information Processing Systems (NeurIPS), 2023
Lingjiong Zhu
Mert Gurbuzbalaban
Anant Raj
Umut Simsekli
198
7
0
20 May 2023
A Dual Accelerated Method for Online Stochastic Distributed Averaging:
  From Consensus to Decentralized Policy Evaluation
A Dual Accelerated Method for Online Stochastic Distributed Averaging: From Consensus to Decentralized Policy EvaluationIEEE Transactions on Automatic Control (TAC), 2022
Sheng Zhang
A. Pananjady
Justin Romberg
OffRL
222
4
0
23 Jul 2022
Heavy-Tail Phenomenon in Decentralized SGD
Heavy-Tail Phenomenon in Decentralized SGDIISE Transactions (IISE Trans.), 2022
Mert Gurbuzbalaban
Yuanhan Hu
Umut Simsekli
Kun Yuan
Lingjiong Zhu
242
11
0
13 May 2022
Building Decision Forest via Deep Reinforcement Learning
Building Decision Forest via Deep Reinforcement Learning
Guixuan Wen
Kaigui Wu
110
4
0
01 Apr 2022
Provably Accelerated Decentralized Gradient Method Over Unbalanced
  Directed Graphs
Provably Accelerated Decentralized Gradient Method Over Unbalanced Directed GraphsSIAM Journal on Optimization (SIAM J. Optim.), 2021
Zhuoqing Song
Lei Shi
Shi Pu
Ming Yan
195
5
0
26 Jul 2021
Accelerated Gradient Tracking over Time-varying Graphs for Decentralized
  Optimization
Accelerated Gradient Tracking over Time-varying Graphs for Decentralized Optimization
Huan Li
Zhouchen Lin
251
39
0
06 Apr 2021
Drowsiness Detection Based On Driver Temporal Behavior Using a New
  Developed Dataset
Drowsiness Detection Based On Driver Temporal Behavior Using a New Developed Dataset
F. Faraji
F. Lotfi
Javad Khorramdel
Ali Najafi
A. Ghaffari
83
3
0
31 Mar 2021
Moshpit SGD: Communication-Efficient Decentralized Training on
  Heterogeneous Unreliable Devices
Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable DevicesNeural Information Processing Systems (NeurIPS), 2021
Max Ryabinin
Eduard A. Gorbunov
Vsevolod Plokhotnyuk
Gennady Pekhimenko
296
43
0
04 Mar 2021
IDEAL: Inexact DEcentralized Accelerated Augmented Lagrangian Method
IDEAL: Inexact DEcentralized Accelerated Augmented Lagrangian MethodNeural Information Processing Systems (NeurIPS), 2020
Yossi Arjevani
Joan Bruna
Bugra Can
Mert Gurbuzbalaban
Stefanie Jegelka
Hongzhou Lin
119
20
0
11 Jun 2020
A Unified Theory of Decentralized SGD with Changing Topology and Local
  Updates
A Unified Theory of Decentralized SGD with Changing Topology and Local UpdatesInternational Conference on Machine Learning (ICML), 2020
Anastasia Koloskova
Nicolas Loizou
Sadra Boreiri
Martin Jaggi
Sebastian U. Stich
FedML
427
573
0
23 Mar 2020
1