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KDD
2005
ACM
149views Data Mining» more  KDD 2005»
16 years 6 days ago
A distributed learning framework for heterogeneous data sources
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
Srujana Merugu, Joydeep Ghosh
LCR
2000
Springer
148views System Software» more  LCR 2000»
15 years 10 months ago
InterWeave: A Middleware System for Distributed Shared State
Abstract. As an alternative to message passing, Rochester's InterWeave system allows the programmer to map shared segments into programs spread across heterogeneous, distribut...
DeQing Chen, Sandhya Dwarkadas, Srinivasan Parthas...
ALGORITHMICA
2006
139views more  ALGORITHMICA 2006»
15 years 6 months ago
CONQUEST: A Coarse-Grained Algorithm for Constructing Summaries of Distributed Discrete Datasets
Abstract. In this paper we present a coarse-grained parallel algorithm, CONQUEST, for constructing boundederror summaries of high-dimensional binary attributed data in a distribute...
Jie Chi, Mehmet Koyutürk, Ananth Grama
TIT
2008
141views more  TIT 2008»
15 years 6 months ago
Dimensionality Reduction for Distributed Estimation in the Infinite Dimensional Regime
Distributed estimation of an unknown signal is a common task in sensor networks. The scenario usually envisioned consists of several nodes, each making an observation correlated wi...
Olivier Roy, Martin Vetterli
SOSP
2009
ACM
16 years 3 months ago
The multikernel: a new OS architecture for scalable multicore systems
Commodity computer systems contain more and more processor cores and exhibit increasingly diverse architectural tradeoffs, including memory hierarchies, interconnects, instructio...
Andrew Baumann, Paul Barham, Pierre-Évarist...