Communication Complexity: From Two-Party to Multiparty
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We consider the multiparty communication complexity model, where k players holding inputs x1,...,xk communicate to compute the value f(x1,...,xk) of a function f known to all of them.
Yao's classic two-party communication complexity model [3] is the special case k=2 (see also [2]). In the first part of the talk, we survey some basic results regarding the two-party model, emphasizing methods for proving lower-bounds.
In the second part of the talk, we consider the case where there are at least three parties (k≥3). The main lower bound technique for the communication complexity of such multiparty problems is that of partition arguments: partition the k players into two disjoint sets of players and find a lower bound for the induced two-party communication complexity problem. We discuss the power of partition arguments for both deterministic and randomized protocols. (This part is based on a joint work with Jan Draisma and Enav Weinreb [1].)
[1] Eyal Kushilevitz,et al. Partition Arguments in Multiparty Communication Complexity , 2009, ICALP.
[2] Eyal Kushilevitz,et al. Communication Complexity , 1997, Adv. Comput..
[3] Andrew Chi-Chih Yao,et al. Some complexity questions related to distributive computing(Preliminary Report) , 1979, STOC.