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Convergence of a Multi-Agent Projected Stochastic Gradient Algorithm for
  Non-Convex Optimization

Convergence of a Multi-Agent Projected Stochastic Gradient Algorithm for Non-Convex Optimization

13 July 2011
Pascal Bianchi
J. Jakubowicz
ArXivPDFHTML

Papers citing "Convergence of a Multi-Agent Projected Stochastic Gradient Algorithm for Non-Convex Optimization"

29 / 29 papers shown
Title
Convergence and Privacy of Decentralized Nonconvex Optimization with
  Gradient Clipping and Communication Compression
Convergence and Privacy of Decentralized Nonconvex Optimization with Gradient Clipping and Communication Compression
Boyue Li
Yuejie Chi
26
12
0
17 May 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
26
19
0
26 Jan 2023
Decentralized Nonconvex Optimization with Guaranteed Privacy and
  Accuracy
Decentralized Nonconvex Optimization with Guaranteed Privacy and Accuracy
Yongqiang Wang
Tamer Basar
26
21
0
14 Dec 2022
Double Averaging and Gradient Projection: Convergence Guarantees for
  Decentralized Constrained Optimization
Double Averaging and Gradient Projection: Convergence Guarantees for Decentralized Constrained Optimization
Firooz Shahriari-Mehr
Ashkan Panahi
17
1
0
06 Oct 2022
Decentralized Stochastic Optimization with Inherent Privacy Protection
Decentralized Stochastic Optimization with Inherent Privacy Protection
Yongqiang Wang
H. Vincent Poor
24
37
0
08 May 2022
A Unified and Refined Convergence Analysis for Non-Convex Decentralized
  Learning
A Unified and Refined Convergence Analysis for Non-Convex Decentralized Learning
Sulaiman A. Alghunaim
Kun Yuan
40
57
0
19 Oct 2021
FAST-PCA: A Fast and Exact Algorithm for Distributed Principal Component
  Analysis
FAST-PCA: A Fast and Exact Algorithm for Distributed Principal Component Analysis
Arpita Gang
W. Bajwa
60
17
0
27 Aug 2021
Decentralized Constrained Optimization: Double Averaging and Gradient
  Projection
Decentralized Constrained Optimization: Double Averaging and Gradient Projection
Firooz Shahriari-Mehr
David Bosch
Ashkan Panahi
16
8
0
21 Jun 2021
A Survey of Distributed Optimization Methods for Multi-Robot Systems
A Survey of Distributed Optimization Methods for Multi-Robot Systems
Trevor Halsted
O. Shorinwa
Javier Yu
Mac Schwager
33
39
0
23 Mar 2021
A Linearly Convergent Algorithm for Distributed Principal Component
  Analysis
A Linearly Convergent Algorithm for Distributed Principal Component Analysis
Arpita Gang
W. Bajwa
33
24
0
05 Jan 2021
Distributed Gradient Flow: Nonsmoothness, Nonconvexity, and Saddle Point
  Evasion
Distributed Gradient Flow: Nonsmoothness, Nonconvexity, and Saddle Point Evasion
Brian Swenson
Ryan W. Murray
H. Vincent Poor
S. Kar
12
16
0
12 Aug 2020
A Review of Cooperative Multi-Agent Deep Reinforcement Learning
A Review of Cooperative Multi-Agent Deep Reinforcement Learning
Afshin Oroojlooyjadid
Davood Hajinezhad
51
413
0
11 Aug 2019
Distributed Gradient Descent: Nonconvergence to Saddle Points and the
  Stable-Manifold Theorem
Distributed Gradient Descent: Nonconvergence to Saddle Points and the Stable-Manifold Theorem
Brian Swenson
Ryan W. Murray
H. Vincent Poor
S. Kar
26
14
0
07 Aug 2019
DEAM: Adaptive Momentum with Discriminative Weight for Stochastic
  Optimization
DEAM: Adaptive Momentum with Discriminative Weight for Stochastic Optimization
Jiyang Bai
Yuxiang Ren
Jiawei Zhang
ODL
21
1
0
25 Jul 2019
On the Privacy Guarantees of Gossip Protocols in General Networks
On the Privacy Guarantees of Gossip Protocols in General Networks
Richeng Jin
Yufan Huang
H. Dai
13
1
0
18 May 2019
Distributed off-Policy Actor-Critic Reinforcement Learning with Policy
  Consensus
Distributed off-Policy Actor-Critic Reinforcement Learning with Policy Consensus
Yan Zhang
Michael M. Zavlanos
OffRL
11
46
0
21 Mar 2019
Annealing for Distributed Global Optimization
Annealing for Distributed Global Optimization
Brian Swenson
S. Kar
H. Vincent Poor
J. M. F. Moura
25
30
0
18 Mar 2019
Distributed Nonconvex Constrained Optimization over Time-Varying
  Digraphs
Distributed Nonconvex Constrained Optimization over Time-Varying Digraphs
G. Scutari
Ying Sun
41
172
0
04 Sep 2018
Decentralized Dictionary Learning Over Time-Varying Digraphs
Decentralized Dictionary Learning Over Time-Varying Digraphs
Amir Daneshmand
Ying Sun
G. Scutari
F. Facchinei
Brian M. Sadler
FedML
41
10
0
17 Aug 2018
Distributed Stochastic Gradient Tracking Methods
Distributed Stochastic Gradient Tracking Methods
Shi Pu
A. Nedić
26
287
0
25 May 2018
Parallel and Distributed Successive Convex Approximation Methods for
  Big-Data Optimization
Parallel and Distributed Successive Convex Approximation Methods for Big-Data Optimization
G. Scutari
Ying Sun
35
61
0
17 May 2018
Zeroth Order Nonconvex Multi-Agent Optimization over Networks
Zeroth Order Nonconvex Multi-Agent Optimization over Networks
Davood Hajinezhad
Mingyi Hong
Alfredo García
21
79
0
27 Oct 2017
Decentralized Frank-Wolfe Algorithm for Convex and Non-convex Problems
Decentralized Frank-Wolfe Algorithm for Convex and Non-convex Problems
Hoi-To Wai
Jean Lafond
Anna Scaglione
Eric Moulines
69
90
0
05 Dec 2016
Distributed Nonconvex Multiagent Optimization Over Time-Varying Networks
Distributed Nonconvex Multiagent Optimization Over Time-Varying Networks
Ying Sun
G. Scutari
Daniel P. Palomar
18
89
0
01 Jul 2016
NEXT: In-Network Nonconvex Optimization
NEXT: In-Network Nonconvex Optimization
P. Lorenzo
G. Scutari
24
501
0
01 Feb 2016
Success and Failure of Adaptation-Diffusion Algorithms for Consensus in
  Multi-Agent Networks
Success and Failure of Adaptation-Diffusion Algorithms for Consensus in Multi-Agent Networks
Gemma Morral
Pascal Bianchi
G. Fort
39
14
0
25 Oct 2014
A Coordinate Descent Primal-Dual Algorithm and Application to
  Distributed Asynchronous Optimization
A Coordinate Descent Primal-Dual Algorithm and Application to Distributed Asynchronous Optimization
Pascal Bianchi
W. Hachem
F. Iutzeler
62
57
0
03 Jul 2014
Performance of a Distributed Stochastic Approximation Algorithm
Performance of a Distributed Stochastic Approximation Algorithm
Pascal Bianchi
G. Fort
W. Hachem
26
118
0
07 Mar 2012
Distributed and Recursive Parameter Estimation in Parametrized Linear
  State-Space Models
Distributed and Recursive Parameter Estimation in Parametrized Linear State-Space Models
S. Ram
V. Veeravalli
A. Nedić
88
114
0
10 Apr 2008
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