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KDD
2004
ACM
160views Data Mining» more  KDD 2004»
14 years 5 months ago
k-TTP: a new privacy model for large-scale distributed environments
Secure multiparty computation allows parties to jointly compute a function of their private inputs without revealing anything but the output. Theoretical results [2] provide a gen...
Bobi Gilburd, Assaf Schuster, Ran Wolff
USS
2010
13 years 2 months ago
P4P: Practical Large-Scale Privacy-Preserving Distributed Computation Robust against Malicious Users
In this paper we introduce a framework for privacypreserving distributed computation that is practical for many real-world applications. The framework is called Peers for Privacy ...
Yitao Duan, NetEase Youdao, John Canny, Justin Z. ...
IPPS
2007
IEEE
13 years 11 months ago
Java and asynchronous iterative applications: large scale experiments
This paper focuses on large scale experiments with Java and asynchronous iterative applications. In those applications, tasks are dependent and the use of distant clusters may be ...
Jacques M. Bahi, Raphaël Couturier, David Lai...
LSSC
2001
Springer
13 years 9 months ago
Parallel Implementation of a Large-Scale 3-D Air Pollution Model
Abstract. Air pollution models can efficiently be used in different environmental studies. The atmosphere is the most dynamic component of the environment, where the pollutants ca...
Tzvetan Ostromsky, Zahari Zlatev
RTAS
2002
IEEE
13 years 9 months ago
RAP: A Real-Time Communication Architecture for Large-Scale Wireless Sensor Networks
Large-scale wireless sensor networks represent a new generation of real-time embedded systems with significantly different communication constraints from traditional networked sys...
Chenyang Lu, Brian M. Blum, Tarek F. Abdelzaher, J...