Decentralized Learning
Decentralized Learning is a multi-robot learning paradigm in which individual robots independently update their policies or models using locally available data and inter-robot communication, without reliance on a central coordinator to aggregate information or synchronize learning.
368
Publications
19.4K
Citations
1.1K
Authors
420
Institutions
Publications per year
2017–2026
259
Parents
368
Making Smart Contracts Smarter
Loi Luu, Duc-Hiep Chu, Hrishi Olickel et al. · 2016 · 2.2K citations
A Blockchain-Based Decentralized Federated Learning Framework with Committee Consensus
Yuzheng Li, Chuan Chen, Nan Liu et al. · IEEE Network · 2020 · 627 citations · Full text
1–5 of 368
1.1K
10
h-index
10
h-index
9
h-index
8
h-index
8
h-index
1–5 of 1.1K
420
Princeton University
Princeton, United States
12 h-index
14 publications
1.4K citations
University of Pennsylvania
Philadelphia, United States
12 h-index
30 publications
1K citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
10 h-index
21 publications
565 citations
University of Illinois Urbana-Champaign
Urbana, United States
10 h-index
19 publications
1.7K citations
Nanyang Technological University
Singapore, Singapore
8 h-index
15 publications
760 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
8 h-index
16 publications
813 citations

Chinese Academy of Sciences
Beijing, China
7 h-index
14 publications
569 citations
University of California, Los Angeles
Los Angeles, United States
7 h-index
14 publications
319 citations
1–8 of 420
Repository · 43 publications · 1.6K citations
19
h-index
12 publications · 901 citations
12
h-index
8 publications · 645 citations
8
h-index
Conference · 7 publications · 184 citations
7
h-index
5 publications · 446 citations
5
h-index
1–5