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Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity,
  and Optimism
v1v2 (latest)

Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism

21 December 2020
Yu-Guan Hsieh
F. Iutzeler
J. Malick
P. Mertikopoulos
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism"

17 / 17 papers shown
Title
Revisiting Multi-Agent Asynchronous Online Optimization with Delays: the Strongly Convex Case
Lingchan Bao
Tong Wei
Yuanyu Wan
96
0
0
13 Mar 2025
No-regret learning in harmonic games: Extrapolation in the face of conflicting interests
No-regret learning in harmonic games: Extrapolation in the face of conflicting interests
Davide Legacci
P. Mertikopoulos
Christos H. Papadimitriou
Georgios Piliouras
Bary S. R. Pradelski
97
4
0
31 Dec 2024
Non-stochastic Bandits With Evolving Observations
Non-stochastic Bandits With Evolving Observations
Yogev Bar-On
Yishay Mansour
79
1
0
27 May 2024
Multitask Online Learning: Listen to the Neighborhood Buzz
Multitask Online Learning: Listen to the Neighborhood Buzz
J. Achddou
Nicolò Cesa-Bianchi
Pierre Laforgue
40
1
0
26 Oct 2023
Towards Understanding the Generalizability of Delayed Stochastic Gradient Descent
Towards Understanding the Generalizability of Delayed Stochastic Gradient Descent
Xiaoge Deng
Li Shen
Shengwei Li
Tao Sun
Dongsheng Li
Dacheng Tao
81
3
0
18 Aug 2023
Distributed Extra-gradient with Optimal Complexity and Communication
  Guarantees
Distributed Extra-gradient with Optimal Complexity and Communication Guarantees
Ali Ramezani-Kebrya
Kimon Antonakopoulos
Igor Krawczuk
Justin Deschenaux
Volkan Cevher
72
4
0
17 Aug 2023
Progression Cognition Reinforcement Learning with Prioritized Experience
  for Multi-Vehicle Pursuit
Progression Cognition Reinforcement Learning with Prioritized Experience for Multi-Vehicle Pursuit
Xinhang Li
Yiying Yang
Zheng Yuan
Zhe Wang
Qinwen Wang
Chen Xu
Lei Li
Jianhua He
Lin Zhang
65
2
0
08 Jun 2023
Asynchronous Gradient Play in Zero-Sum Multi-agent Games
Asynchronous Gradient Play in Zero-Sum Multi-agent Games
Ruicheng Ao
Shicong Cen
Yuejie Chi
73
5
0
16 Nov 2022
On the Stability Analysis of Open Federated Learning Systems
On the Stability Analysis of Open Federated Learning Systems
Youbang Sun
H. Fernando
Tianyi Chen
Shahin Shahrampour
FedML
64
1
0
25 Sep 2022
No-Regret Learning in Games with Noisy Feedback: Faster Rates and
  Adaptivity via Learning Rate Separation
No-Regret Learning in Games with Noisy Feedback: Faster Rates and Adaptivity via Learning Rate Separation
Yu-Guan Hsieh
Kimon Antonakopoulos
Volkan Cevher
P. Mertikopoulos
67
28
0
13 Jun 2022
A Survey on Distributed Online Optimization and Game
A Survey on Distributed Online Optimization and Game
Xiuxian Li
Lihua Xie
Na Li
OffRL
73
4
0
01 May 2022
Nonstochastic Bandits and Experts with Arm-Dependent Delays
Nonstochastic Bandits and Experts with Arm-Dependent Delays
Dirk van der Hoeven
Nicolò Cesa-Bianchi
68
17
0
02 Nov 2021
Distributed stochastic optimization with large delays
Distributed stochastic optimization with large delays
Zhengyuan Zhou
P. Mertikopoulos
Nicholas Bambos
Peter Glynn
Yinyu Ye
62
8
0
06 Jul 2021
Online Learning with Optimism and Delay
Online Learning with Optimism and Delay
Genevieve Flaspohler
Francesco Orabona
J. Cohen
Soukayna Mouatadid
Miruna Oprescu
Paulo Orenstein
Lester W. Mackey
103
35
0
13 Jun 2021
Cooperative Online Learning with Feedback Graphs
Cooperative Online Learning with Feedback Graphs
Nicolò Cesa-Bianchi
Tommaso Cesari
R. D. Vecchia
60
3
0
09 Jun 2021
Optimization in Open Networks via Dual Averaging
Optimization in Open Networks via Dual Averaging
Yu-Guan Hsieh
F. Iutzeler
J. Malick
P. Mertikopoulos
57
10
0
27 May 2021
Distributed Online Learning for Joint Regret with Communication
  Constraints
Distributed Online Learning for Joint Regret with Communication Constraints
Dirk van der Hoeven
Hédi Hadiji
T. Erven
62
5
0
15 Feb 2021
1