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Communication Complexity
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    Anshu, Anurag Touchette, Dave Yao, Penghui and Yu, Nengkun 2017. Exponential separation of quantum communication and classical information. p. 277.

    Alon, N Moran, Sh and Yehudayoff, A 2017. Sign rank versus Vapnik-Chervonenkis dimension. Sbornik: Mathematics, Vol. 208, Issue. 12, p. 1724.

    Belovs, Aleksandrs Montoya, J. Andres and Yakaryılmaz, Abuzer 2017. On a Conjecture by Christian Choffrut. International Journal of Foundations of Computer Science, Vol. 28, Issue. 05, p. 483.

    IZUMI, Taisuke 2016. A Concise Tour of Communication Complexity Theory. IEICE ESS Fundamentals Review, Vol. 10, Issue. 1, p. 46.

    Zhao, Yuda Yu, Haifeng and Chen, Binbin 2016. Near-optimal communication-time tradeoff in fault-tolerant computation of aggregate functions. Distributed Computing, Vol. 29, Issue. 1, p. 17.

    Jain, Rahul Pereszlényi, Attila and Yao, Penghui 2016. A Direct Product Theorem for Two-Party Bounded-Round Public-Coin Communication Complexity. Algorithmica, Vol. 76, Issue. 3, p. 720.

    Sun, Yuan Ye, Shiwei Sun, Yi and Kameda, Tsunehiko 2016. Exact and approximate Boolean matrix decomposition with column-use condition. International Journal of Data Science and Analytics, Vol. 1, Issue. 3-4, p. 199.

    Koutis, Ioannis and Williams, Ryan 2016. LIMITS and Applications of Group Algebras for Parameterized Problems. ACM Transactions on Algorithms, Vol. 12, Issue. 3, p. 1.

    Sun, Yuan Ye, Shiwei Sun, Yi and Kameda, Tsunehiko 2015. Improved algorithms for exact and approximate boolean matrix decomposition. p. 1.

    Vyavahare, Pooja Mahzoon, Majid Grover, Pulkit Limaye, Nutan and Manjunath, D. 2014. Information friction limits on computation. p. 93.

    Chen, Binbin Yu, Haifeng Zhao, Yuda and Gibbons, Phillip B. 2014. The Cost of Fault Tolerance in Multi-Party Communication Complexity. Journal of the ACM, Vol. 61, Issue. 3, p. 1.

    Liang, Hongyu 2014. Optimal Collapsing Protocol for Multiparty Pointer Jumping. Theory of Computing Systems, Vol. 54, Issue. 1, p. 13.

    Gomathisankaran, Mahadevan Yuan, Xiaohui and Kamongi, Patrick 2013. Ensure privacy and security in the process of medical image analysis. p. 120.

    Jain, Rahul Pereszlenyi, Attila and Yao, Penghui 2012. A Direct Product Theorem for the Two-Party Bounded-Round Public-Coin Communication Complexity. p. 167.

    Dhulipala, Anand K. Fragouli, Christina and Orlitsky, Alon 2010. Silence-Based Communication. IEEE Transactions on Information Theory, Vol. 56, Issue. 1, p. 350.

    Guha, Sudipto and Huang, Zhiyi 2009. Automata, Languages and Programming. Vol. 5555, Issue. , p. 513.

    Koutis, Ioannis and Williams, Ryan 2009. Automata, Languages and Programming. Vol. 5555, Issue. , p. 653.

    Hu, Nan and Cheung, Sen-ching S. 2007. A New Security Model for Secure Thresholding. p. II-273.

    Dhulipala, Anand K. Fragouli, Christina and Orlitsky, Alon 2007. Single versus multiple rounds for distributed function computation. p. 636.

    Dhulipala, Anand Fragouli, Christina and Orlitsky, Alon 2006. Silence Based Communication for Sensor Networks. p. 212.

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    Communication Complexity
    • Online ISBN: 9780511574948
    • Book DOI: https://doi.org/10.1017/CBO9780511574948
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Book description

Many aspects of the internal and external workings of computers can be viewed as a series of communication processes. Communication complexity is the mathematical theory of such communication processes. It is also often used as an abstract model of other aspects of computation. This book surveys this mathematical theory, concentrating on the question of how much communication is necessary for any particular process. The first part of the book is devoted to the simple two-party model introduced by Yao in 1979, which is still the most widely studied model. The second part treats newer models developed to deal with more complicated communication processes. Finally, applications of these models, including computer networks, VLSI circuits, and data structures, are treated in the third part of the book. This is an essential resource for graduate students and researchers in theoretical computer science, circuits, networks and information theory.

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‘I strongly recommend this book to everybody interested in this topic.’

Source: Computing Reviews

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