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Multiparty communication complexity

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In the 2–party communication game, introduced in [1] in 1979, two players, P1 and P2 attempt to compute a Boolean function

Player P1 knows the value of x2, P2 knows the value of x1, but Pi does not know the value of xi, for i=1,2.

In other words, the players know the other's variables, but not their own. The minimum number of bits that must be communicated by the players to compute f is the communication complexity of f, denoted by κ(f).

The multiparty communication game, defined in 1983 [2], it is a powerful generalization of the 2–party case: Here the players know all the others' input, except their own. Because of this property, sometimes this model is called "numbers on the foreheadˇ model, since if the players were seated around a roundtable, each wearing their own input on the forehead, then every player would see all the others' input, except their own.

The formal definition is as follows: k players: P1,P2,...,Pk intend to compute a Boolean function

On set S={x1,x2,...,xn} of variables there is a fixed partition $A$ of $k$ classes $A_1,A_2,...,A_k$, and player $P_i$ knows every variable, {\em except} those in $A_i$, for $i=1,2,...,k$. The players have unlimited computational power, and they

communicate with the 
help of a blackboard, viewed by all players.
  1. ^ A. C. YAO, Some complexity questions related to distributed computing, in Proc. 11th Ann. ACM Symp. Theor. Comput., 1979, pp. 209–213.
  2. ^ A. K. CHANDRA, M. L. FURST, AND R. J. LIPTON, Multi-party protocols, in Proc. 15th Ann. ACM Symp. Theor. Comput., 1983, pp. 94–99.