from    
to    
search  

 


AIR学术沙龙第36期|人工智能医疗保健和虚拟世界的可穿戴传感器和触觉技术
先立后破?实现双碳目标
迎接生物药制造的第四次浪潮-
支撑未来海量资源接入,电力系统通用信息模型(CIM)发展探讨
报告题目:
Low Randomness Rumor Spreading via Hashing
 报告人:
He Sun
Max-Planck Institut for Informatics, Germany
报告时间:
2011-09-15 13:30
报告地点:
FIT 1-222
主办单位:
交叉信息研究院
  简介:

Short Bio:

He Sun received his PhD degree from Fudan University in 2009 and now he is a Postdoctoral Fellow at Max Planck Institute for Informatics in Saarbruecken, Germany. His research area is in algorithms and complexity. Specific topics include randomized algorithms, expander graphs, and computational geometry.

Abstract:

We consider the classical rumor spreading problem, in which a ``rumor" must be disseminated to all n nodes of a given network. In push-protocols for rumor spreading, in each round, every node that knows the rumor sends it to one of its neighbors. We devise two simple push-protocols, in which nodes use pairwise independent hash functions or a pseudo-random generator to determine the recipients of their messages. For several well-studied topologies, our algorithm uses exponentially fewer random bits than previous protocols. For example, in complete graphs, hypercubes, expanders, and random graphs only a polylogarithmic number of random bits are needed in total to spread the rumor in O(log n) rounds with high probability. Previous explicit algorithms require \Omega(n) random bits to achieve the same round complexity. For the complete graph, the amount of randomness used by our algorithm is within an O(log n)-factor of the theoretical minimum determined by Giakkoupis and Woelfel.

今日相关信息
原子核物理: 物质结构、宇宙演化和元素起源
 
同类别相关信息
密码技术前沿应用与发展趋势
Power Sensor Networks by Wireless ...
Entity Matching with Active Monoton...
关于网络计算的讨论
新移动时代的内容消费
学术活动