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» Eliciting properties of probability distributions
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IPPS
1997
IEEE
14 years 1 months ago
Designing Efficient Distributed Algorithms Using Sampling Techniques
In this paper we show the power of sampling techniques in designing efficient distributed algorithms. In particular, we show that using sampling techniques, on some networks, sele...
Sanguthevar Rajasekaran, David S. L. Wei
IPSN
2010
Springer
14 years 4 months ago
Online distributed sensor selection
A key problem in sensor networks is to decide which sensors to query when, in order to obtain the most useful information (e.g., for performing accurate prediction), subject to co...
Daniel Golovin, Matthew Faulkner, Andreas Krause
CORR
2008
Springer
121views Education» more  CORR 2008»
13 years 10 months ago
The Forgiving Tree: A Self-Healing Distributed Data Structure
We consider the problem of self-healing in peer-to-peer networks that are under repeated attack by an omniscient adversary. We assume that the following process continues for up t...
Tom Hayes, Navin Rustagi, Jared Saia, Amitabh Treh...
EUROCRYPT
2005
Springer
14 years 3 months ago
Computational Indistinguishability Between Quantum States and Its Cryptographic Application
We introduce a computational problem of distinguishing between two specific quantum states as a new cryptographic problem to design a quantum cryptographic scheme that is “secu...
Akinori Kawachi, Takeshi Koshiba, Harumichi Nishim...
ICFEM
2004
Springer
14 years 3 months ago
Linear Inequality LTL (iLTL): A Model Checker for Discrete Time Markov Chains
Abstract. We develop a way of analyzing the behavior of systems modeled using Discrete Time Markov Chains (DTMC). Specifically, we define iLTL, an LTL with linear inequalities on...
YoungMin Kwon, Gul Agha