A distributed stochastic optimization algorithm with gradient-tracking and distributed heavy-ball acceleration

Sun, Bihao; Hu, Jinhui; Xia, Dawen; Li, Huaqing

doi:10.1631/fitee.2000615

Cited by 4 publications

(1 citation statement)

References 39 publications

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“…Even though Yu [14][15][16][17][18] as coauthor is the main contributor in the area. He accounts for five articles, followed by Li [19][20][21][22], Mohammed [23][24][25][26], Wong [27][28][29][30], Yap [27][28][29][30], and Yaw [27][28][29][30] with four articles each one. Figure 5 presents the coauthor collaboration network from articles and chapter book published during the 2017-2022 period time, on multi-agent systems and machine learning applications, based on full counting.…”

Section: Step 4 Survey the Literaturementioning

confidence: 99%

A State-of-the-Art Survey on Various Domains of Multi-Agent Systems and Machine Learning

Barrientos¹,

Luévano²

2023

Multi-Agent Technologies and Machine Learning

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Multi-agent systems (MASs) are defined as a group of interacting entities or agents sharing a common environment that changes over time, with capabilities of perception and action, and the mechanisms for their coordination provide a modern perspective on systems that traditionally were regarded as centralized. The main characteristics of agents are learning and adaptation. In the last few years, MASs have received tremendous attention from scholars in different fields. However, there are still challenges faced by MASs and their integration with machine learning (ML) methods. The primary goal of the study is to provide a broad review of the current developments in the field of MASs combined with ML methods. First, we present features of MASs considering the ML perspective. Second, we provide a classification of applications of MASs combined with ML methods. Third, we present a density map of applications in E-learning, manufacturing, and commerce. We expect this study to serve as a comprehensive resource for researchers and practitioners in the area.

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