Correlation Complexity
Correlation Complexity is a computational complexity measure that quantifies the minimum amount of shared randomness or prior correlation required between parties to simulate a joint probability distribution in the context of communication protocols without direct interaction.
20
Publications
839
Citations
43
Authors
29
Institutions
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2017–2026
5
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Correlated pseudorandomness and the complexity of private computations
Donald Beaver · 1996 · 233 citations · Full text
Renjie Zhang, Hsing-Wei Tai, Kuo-Tai Cheng et al. · The Science of The Total Environment · 2022 · 114 citations
Natural Resources, Environmental Sciences, Carbon Management +10
Andrew Klapper, Agnes Chan, Mark Goresky · IEEE Transactions on Information Theory · 1993 · 61 citations
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Johann Radon Institute for Computational and Applied Mathematics
Linz, Austria
4 h-index
6 publications
144 citations
Austrian Academy of Sciences
Vienna, Austria
4 h-index
6 publications
144 citations

Università di Camerino
Camerino, Italy
2 h-index
4 publications
82 citations
Putian University
Putian, China
2 h-index
2 publications
29 citations

University of Manitoba
Winnipeg, Canada
1 h-index
1 publications
61 citations
Sogang University
Seoul, South Korea
1 h-index
1 publications
29 citations
Northeastern University
Boston, United States
1 h-index
3 publications
183 citations

Shandong University of Technology
Zibo, China
1 h-index
1 publications
114 citations
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3 publications · 147 citations
3
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1 publications · 114 citations
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1 publications · 48 citations
1
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1 publications · 29 citations
1
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1 publications · 19 citations
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