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FOCS
2010
IEEE
14 years 7 months ago
Boosting and Differential Privacy
Boosting is a general method for improving the accuracy of learning algorithms. We use boosting to construct improved privacy-preserving synopses of an input database. These are da...
Cynthia Dwork, Guy N. Rothblum, Salil P. Vadhan
IPPS
2010
IEEE
14 years 7 months ago
Towards dynamic reconfigurable load-balancing for hybrid desktop platforms
s the Pus using the OpenCL API as the platform independent programming model. It has the proposal to extend OpenCL with a module that schedule and balance the workload over the CPU...
Alécio Pedro Delazari Binotto, Carlos Eduar...
ICUMT
2009
14 years 7 months ago
A scalable based multicast model for P2P Conferencing applications
Multicast conferencing is a rapidly-growing area of Internet use. Audio, video and other media such as shared whiteboard data can be distributed efficiently between groups of confe...
Mourad Amad, Zahir Haddad, Lachemi Khenous, Kamal ...
IPPS
2010
IEEE
14 years 7 months ago
Designing high-performance and resilient message passing on InfiniBand
Abstract--Clusters featuring the InfiniBand interconnect are continuing to scale. As an example, the "Ranger" system at the Texas Advanced Computing Center (TACC) include...
Matthew J. Koop, Pavel Shamis, Ishai Rabinovitz, D...
SIAMCOMP
2011
14 years 4 months ago
The Complexity of Early Deciding Set Agreement
Set agreement, where processors decisions constitute a set of outputs, is notoriously harder to analyze than consensus where the decisions are restricted to a single output. This ...
Eli Gafni, Rachid Guerraoui, Bastian Pochon
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