319 search results - page 5 / 64 » Convergence rates of consensus algorithms in stochastic netw... |
SIAMCO
2002
14 years 11 months ago
2002
There is a large literature on the rate of convergence problem for general unconstrained stochastic approximations. Typically, one centers the iterate n about the limit point then...
121
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DCOSS
2011
Springer
13 years 11 months ago
2011
Springer
—In many application scenarios sensors need to calculate the average of some local values, e.g. of local measurements. A possible solution is to rely on consensus algorithms. In ...
88
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CORR
2010
Springer
14 years 10 months ago
2010
Springer
—We apply large deviations theory to study asymptotic performance of running consensus distributed detection in sensor networks. Running consensus is a stochastic approximation t...
QUESTA
2006
14 years 11 months ago
2006
116
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ML
2007
ACM
14 years 11 months ago
2007
ACM
We propose a general-purpose stochastic optimization algorithm, the so-called annealing stochastic approximation Monte Carlo (ASAMC) algorithm, for neural network training. ASAMC c...