Fast asynchronous Byzantine agreement with optimal resilience
STOC '93 Proceedings of the twenty-fifth annual ACM symposium on Theory of computing
Random oracles are practical: a paradigm for designing efficient protocols
CCS '93 Proceedings of the 1st ACM conference on Computer and communications security
Another advantage of free choice (Extended Abstract): Completely asynchronous agreement protocols
PODC '83 Proceedings of the second annual ACM symposium on Principles of distributed computing
Randomized protocols for asynchronous consensus
Distributed Computing - Papers in celebration of the 20th anniversary of PODC
Distributed Computing: Fundamentals, Simulations and Advanced Topics
Distributed Computing: Fundamentals, Simulations and Advanced Topics
Byzantine agreement in the full-information model in O(log n) rounds
Proceedings of the thirty-eighth annual ACM symposium on Theory of computing
SFCS '83 Proceedings of the 24th Annual Symposium on Foundations of Computer Science
Byzantine agreement in constant expected time
SFCS '85 Proceedings of the 26th Annual Symposium on Foundations of Computer Science
Tight bounds for asynchronous randomized consensus
Journal of the ACM (JACM)
Hi-index | 0.00 |
In a paper appearing in STOC 2013, we considered Byzantine agreement in the classic asynchronous message-passing model. The adversary is adaptive: it can determine which processors to corrupt and what strategy these processors should use as the algorithm proceeds. Communication is asynchronous: the scheduling of the delivery of messages is set by the adversary, so that the delays are unpredictable to the algorithm. Finally, the adversary has full information: it knows the states of all processors at any time, and is assumed to be computationally unbounded. Such an adversary is also known as "strong". We presented the first known polynomial expected time algorithm to solve asynchronous Byzantine Agreement when the adversary controls a constant fraction of processors. This is the first improvement in running time for this problem since Ben-Or's exponential expected time solution in 1983.