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Communication-Efficient Algorithms for Decentralized and Stochastic
  Optimization

Communication-Efficient Algorithms for Decentralized and Stochastic Optimization

14 January 2017
Guanghui Lan
Soomin Lee
Yi Zhou
ArXivPDFHTML

Papers citing "Communication-Efficient Algorithms for Decentralized and Stochastic Optimization"

27 / 27 papers shown
Title
From Interpretation to Correction: A Decentralized Optimization Framework for Exact Convergence in Federated Learning
From Interpretation to Correction: A Decentralized Optimization Framework for Exact Convergence in Federated Learning
Bicheng Ying
Zhe Li
Haibo Yang
FedML
68
0
0
25 Mar 2025
Federated Multi-Level Optimization over Decentralized Networks
Federated Multi-Level Optimization over Decentralized Networks
Shuoguang Yang
Xuezhou Zhang
Mengdi Wang
AI4CE
25
0
0
10 Oct 2023
Adaptive Consensus: A network pruning approach for decentralized
  optimization
Adaptive Consensus: A network pruning approach for decentralized optimization
S. Shah
A. Berahas
Raghu Bollapragada
9
2
0
06 Sep 2023
Revolutionizing Wireless Networks with Federated Learning: A Comprehensive Review
Revolutionizing Wireless Networks with Federated Learning: A Comprehensive Review
Sajjad Emdadi Mahdimahalleh
AI4CE
18
0
0
01 Aug 2023
Blockchain-Based Federated Learning: Incentivizing Data Sharing and
  Penalizing Dishonest Behavior
Blockchain-Based Federated Learning: Incentivizing Data Sharing and Penalizing Dishonest Behavior
Amir Jaberzadeh
A. Shrestha
F. Khan
Mohammed Afaan Shaikh
Bhargav Dave
Jason Geng
FedML
19
3
0
19 Jul 2023
CoDeC: Communication-Efficient Decentralized Continual Learning
CoDeC: Communication-Efficient Decentralized Continual Learning
Sakshi Choudhary
Sai Aparna Aketi
Gobinda Saha
Kaushik Roy
CLL
24
3
0
27 Mar 2023
Distributed Optimization Methods for Multi-Robot Systems: Part II -- A
  Survey
Distributed Optimization Methods for Multi-Robot Systems: Part II -- A Survey
O. Shorinwa
Trevor Halsted
Javier Yu
Mac Schwager
16
18
0
26 Jan 2023
CEDAS: A Compressed Decentralized Stochastic Gradient Method with
  Improved Convergence
CEDAS: A Compressed Decentralized Stochastic Gradient Method with Improved Convergence
Kun-Yen Huang
Shin-Yi Pu
22
9
0
14 Jan 2023
A Penalty-Based Method for Communication-Efficient Decentralized Bilevel
  Programming
A Penalty-Based Method for Communication-Efficient Decentralized Bilevel Programming
Parvin Nazari
Ahmad Mousavi
Davoud Ataee Tarzanagh
George Michailidis
19
4
0
08 Nov 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
32
42
0
22 Jun 2022
Confederated Learning: Federated Learning with Decentralized Edge
  Servers
Confederated Learning: Federated Learning with Decentralized Edge Servers
Bin Wang
Jun Fang
Hongbin Li
Xiaojun Yuan
Qing Ling
FedML
15
23
0
30 May 2022
Local Stochastic Factored Gradient Descent for Distributed Quantum State
  Tomography
Local Stochastic Factored Gradient Descent for Distributed Quantum State Tomography
J. Kim
Taha Toghani
César A. Uribe
Anastasios Kyrillidis
17
3
0
22 Mar 2022
Convergence Rates of Two-Time-Scale Gradient Descent-Ascent Dynamics for
  Solving Nonconvex Min-Max Problems
Convergence Rates of Two-Time-Scale Gradient Descent-Ascent Dynamics for Solving Nonconvex Min-Max Problems
Thinh T. Doan
11
15
0
17 Dec 2021
Federated Learning over Wireless IoT Networks with Optimized
  Communication and Resources
Federated Learning over Wireless IoT Networks with Optimized Communication and Resources
Student Member Ieee Hao Chen
Shaocheng Huang
Deyou Zhang
Ming Xiao
Fellow Ieee Mikael Skoglund
L. F. I. H. Vincent Poor
16
92
0
22 Oct 2021
Decentralized Federated Averaging
Decentralized Federated Averaging
Tao Sun
Dongsheng Li
Bao Wang
FedML
26
206
0
23 Apr 2021
Distributed Bootstrap for Simultaneous Inference Under High
  Dimensionality
Distributed Bootstrap for Simultaneous Inference Under High Dimensionality
Yang Yu
Shih-Kang Chao
Guang Cheng
FedML
16
10
0
19 Feb 2021
Decentralized Distributed Optimization for Saddle Point Problems
Decentralized Distributed Optimization for Saddle Point Problems
Alexander Rogozin
Alexander Beznosikov
D. Dvinskikh
D. Kovalev
Pavel Dvurechensky
Alexander Gasnikov
14
27
0
15 Feb 2021
Incremental Without Replacement Sampling in Nonconvex Optimization
Incremental Without Replacement Sampling in Nonconvex Optimization
Edouard Pauwels
19
5
0
15 Jul 2020
Gradient tracking and variance reduction for decentralized optimization
  and machine learning
Gradient tracking and variance reduction for decentralized optimization and machine learning
Ran Xin
S. Kar
U. Khan
9
10
0
13 Feb 2020
Robust Distributed Accelerated Stochastic Gradient Methods for
  Multi-Agent Networks
Robust Distributed Accelerated Stochastic Gradient Methods for Multi-Agent Networks
Alireza Fallah
Mert Gurbuzbalaban
Asuman Ozdaglar
Umut Simsekli
Lingjiong Zhu
17
28
0
19 Oct 2019
Stochastic First-order Methods for Convex and Nonconvex Functional
  Constrained Optimization
Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization
Digvijay Boob
Qi Deng
Guanghui Lan
37
92
0
07 Aug 2019
Asymptotic Network Independence in Distributed Stochastic Optimization
  for Machine Learning
Asymptotic Network Independence in Distributed Stochastic Optimization for Machine Learning
Shi Pu
Alexander Olshevsky
I. Paschalidis
11
40
0
28 Jun 2019
Decentralize and Randomize: Faster Algorithm for Wasserstein Barycenters
Decentralize and Randomize: Faster Algorithm for Wasserstein Barycenters
Pavel Dvurechensky
D. Dvinskikh
Alexander Gasnikov
César A. Uribe
Angelia Nedić
11
104
0
11 Jun 2018
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed
  Learning
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning
Tianyi Chen
G. Giannakis
Tao Sun
W. Yin
19
296
0
25 May 2018
A Distributed Stochastic Gradient Tracking Method
A Distributed Stochastic Gradient Tracking Method
Shi Pu
A. Nedić
14
60
0
21 Mar 2018
D$^2$: Decentralized Training over Decentralized Data
D2^22: Decentralized Training over Decentralized Data
Hanlin Tang
Xiangru Lian
Ming Yan
Ce Zhang
Ji Liu
10
346
0
19 Mar 2018
A Fast Distributed Proximal-Gradient Method
A Fast Distributed Proximal-Gradient Method
Annie I. Chen
Asuman Ozdaglar
59
146
0
08 Oct 2012
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