Communication Complexity Of Boolean Functions
The Communication Complexity of Boolean Functions is a computational complexity measure that quantifies the minimum amount of communication required between two or more parties to compute a Boolean function whose input is distributed among them, distinguishing it from other complexity measures by focusing specifically on the information exchange necessary to evaluate the function correctly.
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Informational complexity and the direct sum problem for simultaneous message complexity
Amit Chakrabarti, Yaoyun Shi, Anthony Wirth et al. · 2001 · 265 citations
Lower bounds by probabilistic arguments
Andrew Chi-Chih Yao · 1983 · 213 citations
On rank vs. communication complexity
Noam Nisan, Avi Wigderson · COMBINATORICA · 1995 · 142 citations
Amortized Communication Complexity
Tomás Feder, Eyal Kushilevitz, Moni Naor et al. · SIAM Journal on Computing · 1995 · 119 citations
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Centrum Wiskunde & Informatica
Amsterdam, The Netherlands
7 h-index
7 publications
283 citations
The University of Texas at Austin
Austin, United States
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6 publications
278 citations
Technion – Israel Institute of Technology
Haifa, Israel
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5 publications
141 citations
Hebrew University of Jerusalem
Jerusalem, Israel
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7 publications
464 citations
University of California San Diego
San Diego, United States
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7 publications
237 citations
Princeton University
Princeton, United States
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1.3K citations
University of Michigan
Ann Arbor, United States
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191 citations
University of Washington
Seattle, United States
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138 citations
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Repository · 4 publications · 131 citations
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Repository · 3 publications · 83 citations
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