Distributed Bayesian Filtering
Distributed Bayesian Filtering is a Bayesian filtering framework in which multiple agents or nodes collaboratively estimate a shared state by locally processing data and exchanging probabilistic information over a network, distinguished from centralized or single-agent approaches by its decentralized computational architecture and consensus-based belief updating.
27
Publications
1.8K
Citations
68
Authors
44
Institutions
Publications per year
2017–2026
11
Parents
27
1–5 of 27
68
3
h-index
2
h-index
2
h-index
University of Electronic Science and Technology of China, China
2 publications · 58 citations
2
h-index
2
h-index
1–5 of 68
44

University of Electronic Science and Technology of China
Chengdu, China
2 h-index
7 publications
197 citations
SELEX Sistemi Integrati
Rome, Italy
2 h-index
3 publications
713 citations

Northwestern Polytechnical University
Xi'an, China
2 h-index
5 publications
155 citations
University of California, Berkeley
Berkeley, United States
2 h-index
5 publications
65 citations
University of Florence
Florence, Italy
2 h-index
6 publications
1.1K citations

East China Normal University
Shanghai, China
1 h-index
3 publications
114 citations
Universidade Federal do Espírito Santo
Vitória, Brazil
1 h-index
1 publications
35 citations
University of Illinois Chicago
Chicago, United States
1 h-index
2 publications
100 citations
1–8 of 44
2 publications · 160 citations
2
h-index
2 publications · 62 citations
2
h-index
2 publications · 149 citations
2
h-index
2 publications · 86 citations
2
h-index
2 publications · 39 citations
2
h-index
1–5