## Abstract

In simultaneous number-in-hand multi-party communication protocols, we have k players, who each receive a private input, and wish to compute a joint function of their inputs. The players simultaneously each send a single message to a referee, who then outputs the value of the function. The cost of the protocol is the total number of bits sent to the referee. For two players, it is known that giving the players a public (shared) random string is much more useful than private randomness: public-coin protocols can be unboundedly better than deterministic protocols, while private-coin protocols can only give a quadratic improvement on deterministic protocols. We extend the two-player gap to multiple players, and show that the private-coin communication complexity of a k-player function f is at least Ω(D(f)) for any k≥2. Perhaps surprisingly, this bound is tight: although one might expect the gap between private-coin and deterministic protocols to grow with the number of players, we show that the All-Equality function, where each player receives n bits of input and the players must determine if their inputs are all the same, can be solved by a private-coin protocol with O˜(nk+k) bits. Since All-Equality has deterministic complexity Θ(nk), this shows that sometimes the gap scales only as the square root of the number of players, and consequently the number of bits each player needs to send actually decreases as the number of players increases. We also consider the Exists-Equality function, where we ask whether there is a pair of players that received the same input, and prove a nearly-tight bound of Θ˜(kn) for it.

Original language | English |
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Pages (from-to) | 72-81 |

Number of pages | 10 |

Journal | Theoretical Computer Science |

Volume | 810 |

DOIs | |

State | Published - 2 Mar 2020 |

## Keywords

- Communication complexity
- Multi-party communication complexity
- Number in hand
- Simultaneous communication complexity

## All Science Journal Classification (ASJC) codes

- Theoretical Computer Science
- General Computer Science