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» Distributed Consensus, revisited
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ICDM
2007
IEEE
149views Data Mining» more  ICDM 2007»
14 years 3 months ago
Solving Consensus and Semi-supervised Clustering Problems Using Nonnegative Matrix Factorization
Consensus clustering and semi-supervised clustering are important extensions of the standard clustering paradigm. Consensus clustering (also known as aggregation of clustering) ca...
Tao Li, Chris H. Q. Ding, Michael I. Jordan
SASO
2009
IEEE
14 years 3 months ago
Evolution of Probabilistic Consensus in Digital Organisms
—The complexity of distributed computing systems and their increasing interaction with the physical world impose challenging requirements in terms of adaptation, robustness, and ...
David B. Knoester, Philip K. McKinley
PODC
1997
ACM
14 years 29 days ago
Determining Consensus Numbers
Conditions on a shared object type T are given that are both necessary and sufficient for wait-free n-process consensus to be solvable using objects of type T and registers. The co...
Eric Ruppert
IPPS
1998
IEEE
14 years 1 months ago
EDF Consensus on CAN Bus Access for Dynamic Real-Time Applications
The paper introduces a mechanism to implement distributed scheduling for CAN-bus resource in order to meet the requirements of a dynamic distributed real-time system. The key issu...
Mohammad Ali Livani, Jörg Kaiser
OPODIS
1997
13 years 10 months ago
Solving Consensus in a Byzantine Environment Using an Unreliable Fault Detector
Unreliable fault detectors can be used to solve the consensus problem in asynchronous distributed systems that are subject to crash faults. We extend this result to asynchronous d...
Kim Potter Kihlstrom, Louise E. Moser, P. M. Melli...