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NCA
2011
IEEE
13 years 2 months ago
Privacy preserving Back-propagation neural network learning over arbitrarily partitioned data
—Neural Networks have been an active research area for decades. However, privacy bothers many when the training dataset for the neural networks is distributed between two parties...
Ankur Bansal, Tingting Chen, Sheng Zhong
IPPS
2007
IEEE
14 years 2 months ago
A Key-based Adaptive Transactional Memory Executor
Software transactional memory systems enable a programmer to easily write concurrent data structures such as lists, trees, hashtables, and graphs, where non-conflicting operation...
Tongxin Bai, Xipeng Shen, Chengliang Zhang, Willia...
TPDS
2002
136views more  TPDS 2002»
13 years 7 months ago
Automatic Partitioning of Parallel Loops with Parallelepiped-Shaped Tiles
In this paper, an efficient algorithm to implement loop partitioning is introduced and evaluated. We start from results of Agarwal et al. [1] whose aim is to minimize the number of...
Fabrice Rastello, Yves Robert
IPPS
1999
IEEE
14 years 12 hour ago
ParaPART: Parallel Mesh Partitioning Tool for Distributed Systems
In this paper, we present ParaPART, a parallel version of a mesh partitioning tool, called PART, for distributed systems. PART takes into consideration the heterogeneities in proce...
Jian Chen, Valerie E. Taylor
PODC
2010
ACM
13 years 9 months ago
Distributed data classification in sensor networks
Low overhead analysis of large distributed data sets is necessary for current data centers and for future sensor networks. In such systems, each node holds some data value, e.g., ...
Ittay Eyal, Idit Keidar, Raphael Rom