A distributed recursive least squares algorithm achieves almost sure convergence for infinite-dimensional stochastic regression models under a cooperative excitation condition without requiring independence or stationarity of regressors.
Robust distributed diffusion recursive least squares algorithms with side infor- mation for adaptive networks,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SY 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Distributed adaptive estimation for stochastic large regression models
A distributed recursive least squares algorithm achieves almost sure convergence for infinite-dimensional stochastic regression models under a cooperative excitation condition without requiring independence or stationarity of regressors.