Decentralized Estimation
Decentralized Estimation is a state estimation framework in which multiple spatially distributed nodes independently compute local estimates using only locally sensed data and limited inter-node communication, without reliance on a central fusion center to coordinate or aggregate global information.
311
Publications
22.3K
Citations
670
Authors
310
Institutions
Publications per year
2017–2026
67
Parents
311
1–5 of 311
670
11
h-index
8
h-index
8
h-index
5
h-index
5
h-index
1–5 of 670
310

University of Minnesota
Minneapolis, United States
20 h-index
47 publications
8.2K citations
Stanford University
Stanford, United States
11 h-index
18 publications
2.1K citations
University of California, Los Angeles
Los Angeles, United States
11 h-index
17 publications
2.9K citations
University of Illinois Urbana-Champaign
Urbana, United States
9 h-index
19 publications
1.6K citations

University of Cagliari
Cagliari, Italy
8 h-index
23 publications
1.3K citations
Carnegie Mellon University
Pittsburgh, United States
8 h-index
18 publications
1.8K citations
RWTH Aachen University
Aachen, Germany
6 h-index
15 publications
425 citations

Centre National de la Recherche Scientifique
Paris, France
6 h-index
13 publications
875 citations
1–8 of 310
36 publications · 4.5K citations
27
h-index
17 publications · 2.2K citations
16
h-index
18 publications · 1.7K citations
16
h-index
16 publications · 2.2K citations
14
h-index
7 publications · 1.2K citations
7
h-index
1–5