TY - GEN
T1 - The communication complexity of multiparty set disjointness under product distributions
AU - Dershowitz, Nachum
AU - Oshman, Rotem
AU - Roth, Tal
N1 - Publisher Copyright:
© 2021 ACM.
PY - 2021/6/15
Y1 - 2021/6/15
N2 - In the multiparty number-in-hand set disjointness problem, we have k players, with private inputs X1,...,Xk ? [n]. The players' goal is to check whether ?=1k X? = .... It is known that in the shared blackboard model of communication, set disjointness requires ?(n logk + k) bits of communication, and in the coordinator model, it requires ?(kn) bits. However, these two lower bounds require that the players' inputs can be highly correlated. We study the communication complexity of multiparty set disjointness under product distributions, and ask whether the problem becomes significantly easier, as it is known to become in the two-party case. Our main result is a nearly-tight bound of (n1-1/k + k) for both the shared blackboard model and the coordinator model. This shows that in the shared blackboard model, as the number of players grows, having independent inputs helps less and less; but in the coordinator model, when k is very large, having independent inputs makes the problem much easier. Both our upper and our lower bounds use new ideas, as the original techniques developed for the two-party case do not scale to more than two players.
AB - In the multiparty number-in-hand set disjointness problem, we have k players, with private inputs X1,...,Xk ? [n]. The players' goal is to check whether ?=1k X? = .... It is known that in the shared blackboard model of communication, set disjointness requires ?(n logk + k) bits of communication, and in the coordinator model, it requires ?(kn) bits. However, these two lower bounds require that the players' inputs can be highly correlated. We study the communication complexity of multiparty set disjointness under product distributions, and ask whether the problem becomes significantly easier, as it is known to become in the two-party case. Our main result is a nearly-tight bound of (n1-1/k + k) for both the shared blackboard model and the coordinator model. This shows that in the shared blackboard model, as the number of players grows, having independent inputs helps less and less; but in the coordinator model, when k is very large, having independent inputs makes the problem much easier. Both our upper and our lower bounds use new ideas, as the original techniques developed for the two-party case do not scale to more than two players.
KW - communication complexity
KW - product distributions
KW - set disjointness
UR - http://www.scopus.com/inward/record.url?scp=85108162860&partnerID=8YFLogxK
U2 - 10.1145/3406325.3451106
DO - 10.1145/3406325.3451106
M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.conference???
AN - SCOPUS:85108162860
T3 - Proceedings of the Annual ACM Symposium on Theory of Computing
SP - 1194
EP - 1207
BT - STOC 2021 - Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing
A2 - Khuller, Samir
A2 - Williams, Virginia Vassilevska
PB - Association for Computing Machinery
T2 - 53rd Annual ACM SIGACT Symposium on Theory of Computing, STOC 2021
Y2 - 21 June 2021 through 25 June 2021
ER -