Improving convergence of distributed LMS estimation by enabling propagation of good estimates through bad nodes.
Kevin T. WagnerMilos I. DoroslovackiPublished in: ACSSC (2015)
Keyphrases
- accurate estimation
- rao bound
- multi agent
- load balance
- importance sampling
- initial guess
- learning management systems
- estimation error
- computer networks
- distributed data
- propagation model
- fully distributed
- estimation process
- learning process
- simultaneously estimating
- distributed systems
- iterative algorithms
- distributed environment
- joint estimation
- peer to peer
- communication cost
- convergence speed
- convergence rate
- cooperative
- network nodes
- neural network
- update equations
- maximum likelihood estimator
- least mean square
- robust estimation
- parameter estimation
- learning styles