Consensus-Based Learning is a distributed multi-robot learning framework in which agents iteratively update their local models by reaching agreement on shared parameters through neighborhood communication, thereby distinguishing itself from centralized or independent learning paradigms by its reliance on local consensus protocols to achieve global coherence.
95
Publications
7K
Citations
365
Authors
182
Institutions
Publications per year
2017–2026
62
Parents
Publications
95
Consensus-based distributed support vector machines
2010 · 367 citations
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents
Kaiqing Zhang, Zhuoran Yang, Han Liu et al. · arXiv (Cornell University) · 2018 · 250 citations · Full text
1–5 of 95
Authors
365
- LF
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- XL
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- YX
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- CT
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- PS
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1–5 of 365
Institutions
182
Guangdong University of Technology
Guangzhou, China
6 h-index
11 publications
912 citations
Princeton University
Princeton, United States
5 h-index
6 publications
746 citations
University of Illinois Urbana-Champaign
Urbana, United States
5 h-index
12 publications
1.3K citations
University of Manchester
Manchester, United Kingdom
4 h-index
12 publications
298 citations
Harbin Institute of Technology
Harbin, China
4 h-index
16 publications
2K citations
National University of Defense Technology
Changsha, China
4 h-index
6 publications
728 citations
Tianjin University
Tianjin, China
3 h-index
6 publications
110 citations
University of Illinois Chicago
Chicago, United States
3 h-index
5 publications
342 citations
1–8 of 182
Venues
- arXiv (Cornell University)
Repository · 6 publications · 364 citations
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- IEEE Transactions on Neural Networks and Learning Systems
4 publications · 203 citations
4
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- Pattern Recognition
3 publications · 175 citations
3
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- IEEE Transactions on Signal Processing
3 publications · 248 citations
3
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- Expert Systems with Applications
3 publications · 66 citations
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