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CDC
2009
IEEE
243views Control Systems» more  CDC 2009»
15 years 4 months ago
A distributed newton method for network optimization
— Most existing work uses dual decomposition and subgradient methods to solve network optimization problems in a distributed manner, which suffer from slow convergence rate prope...
Ali Jadbabaie, Asuman E. Ozdaglar, Michael Zargham
INFOCOM
2010
IEEE
14 years 10 months ago
Distributed Opportunistic Scheduling for Ad-Hoc Communications Under Delay Constraints
—With the convergence of multimedia applications and wireless communications, there is an urgent need for developing new scheduling algorithms to support real-time traffic with ...
Sheu-Sheu Tan, Dong Zheng, Junshan Zhang, James R....
BMEI
2008
IEEE
15 years 6 months ago
Adaptive Gene Expression Programming Algorithm Based on Cloud Model
Standard Gene Expression Programming(GEP) works with fixed rate of mutation and crossover, ignoring the variation of the individual fitness, hence it works in the local optimum st...
Yue Jiang, Chang-jie Tang, Haichun Zheng, Chuan Li...
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ICDCS
2003
IEEE
15 years 5 months ago
The Hash History Approach for Reconciling Mutual Inconsistency
We introduce the hash history mechanism for capturing dependencies among distributed replicas. Hash histories, consisting of a directed graph of version hashes, are independent of...
ByungHoon Kang, Robert Wilensky, John Kubiatowicz
CORR
2011
Springer
177views Education» more  CORR 2011»
14 years 3 months ago
Gossip PCA
Eigenvectors of data matrices play an important role in many computational problems, ranging from signal processing to machine learning and control. For instance, algorithms that ...
Satish Babu Korada, Andrea Montanari, Sewoong Oh