Lower bounds for leader election and collective coin-flipping in the perfect information model

Collective coin-flipping is the problem of producing common random bits in a distributed computing environment with adversarial faults. We consider the perfect information model: all communication is by broadcast and corrupt players are computationally unbounded. Protocols in this model may involve many asynchronous rounds. We assume that honest players communicate only uniformly random bits. We demonstrate that any n-player coin-flipping protocol that is resilient against corrupt coalitions of linear size must use either at least [1/2 - o(1)]log* n communication rounds or at least [log(2k-1) n]1-o(1) communication bits in the kth round, where log(j) denotes the logarithm iterated j times. In particular, protocols using one bit per round require [1/2 - o(1)]log* n rounds. These bounds also apply to the leader election problem. The primary component of this result is a new bound on the influence of random sets of variables on Boolean functions. Finally, in the one-round case, using other methods we prove a new bound on the influence of sets of variables of size $\beta n$ for $\beta > 1/3$.

[1]  Nathan Linial,et al.  The influence of large coalitions , 1993, Comb..

[2]  Kazuoki Azuma WEIGHTED SUMS OF CERTAIN DEPENDENT RANDOM VARIABLES , 1967 .

[3]  H. Chernoff A Measure of Asymptotic Efficiency for Tests of a Hypothesis Based on the sum of Observations , 1952 .

[4]  Michael E. Saks A Robust Noncryptographic Protocol for Collective Coin Flipping , 1989, SIAM J. Discret. Math..

[5]  Nathan Linial,et al.  The Influence of Variables on Boolean Functions (Extended Abstract) , 1988, FOCS 1988.

[6]  Noga Alon,et al.  The Probabilistic Method , 2015, Fundamentals of Ramsey Theory.

[7]  Noga Alon,et al.  Coin-Flipping Games Immune Against Linear-Sized Coalitions , 1993, SIAM J. Comput..

[8]  Nathan Linial,et al.  Game-theoretic aspects of computing , 1994 .

[9]  Rajeev Motwani,et al.  Randomized Algorithms , 1995, SIGA.

[10]  Nathan Linial,et al.  Collective Coin Flipping , 1989, Adv. Comput. Res..

[11]  W. Hoeffding Probability Inequalities for sums of Bounded Random Variables , 1963 .

[12]  Alexander Russell,et al.  Perfect information leader election in log*n+O(1) rounds , 1998, Proceedings 39th Annual Symposium on Foundations of Computer Science (Cat. No.98CB36280).

[13]  G. Kalai,et al.  Every monotone graph property has a sharp threshold , 1996 .

[14]  Uriel Feige,et al.  Noncryptographic selection protocols , 1999, 40th Annual Symposium on Foundations of Computer Science (Cat. No.99CB37039).