Multi-Terminal Source Coding is a foundational framework in network information theory that characterizes the fundamental limits of distributed compression for multiple correlated sources observed at different terminals, where each source is encoded separately without communication among terminals and decoded jointly to reconstruct the original data within a specified fidelity.
93
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6.5K
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128
Authors
80
Institutions
Publications per year
2017–2026
2
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Publications
93
1–5 of 93
Authors
128
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1–5 of 128
Institutions
80
Stanford University
Stanford, United States
9 h-index
17 publications
644 citations
Texas A&M University
College Station, United States
7 h-index
25 publications
506 citations
Cornell University
Ithaca, United States
6 h-index
9 publications
1.6K citations
University of California, Berkeley
Berkeley, United States
5 h-index
8 publications
1K citations
Kyushu University
Fukuoka, Japan
5 h-index
5 publications
994 citations
Institute for Infocomm Research
Singapore, Singapore
4 h-index
4 publications
119 citations
University of Maryland, College Park
College Park, United States
4 h-index
7 publications
669 citations
University of Michigan
Ann Arbor, United States
4 h-index
8 publications
138 citations
1–8 of 80
Venues
- IEEE Transactions on Information Theory
38 publications · 4.8K citations
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- ArXiv.org
Repository · 5 publications · 73 citations
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- Manufacturing Engineer
2 publications · 37 citations
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- IEEE Communications Letters
2 publications · 70 citations
2
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- Information and Control
1 publications · 17 citations
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