Communication-reducing algorithm of distributed least mean square algorithm with neighbor-partial diffusion
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Publication:831586
DOI10.1007/s00034-020-01374-1zbMath1485.94016OpenAlexW3011795995MaRDI QIDQ831586
Publication date: 23 March 2022
Published in: Circuits, Systems, and Signal Processing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00034-020-01374-1
Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Communication theory (94A05) Distributed algorithms (68W15)
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Cites Work
- Multi-step-length gradient iterative algorithm for equation-error type models
- A novel two-stage estimation algorithm for nonlinear Hammerstein-Wiener systems from noisy input and output data
- Variational Bayesian approach for ARX systems with missing observations and varying time-delays
- Mechanical-electromagnetic coupling elastic vibration instability of symmetrical three-phase external rotor induction motor
- Incremental Subgradient Methods for Nondifferentiable Optimization
- A New Class of Incremental Gradient Methods for Least Squares Problems
- Incremental Adaptive Strategies Over Distributed Networks
- Consensus in Ad Hoc WSNs With Noisy Links—Part I: Distributed Estimation of Deterministic Signals
- Distributed Recursive Least-Squares for Consensus-Based In-Network Adaptive Estimation
- Diffusion Least-Mean Squares With Adaptive Combiners: Formulation and Performance Analysis
- Diffusion LMS Strategies for Distributed Estimation
- Distributed Consensus Algorithms in Sensor Networks With Imperfect Communication: Link Failures and Channel Noise
- Consensus-Based Distributed Total Least Squares Estimation in Ad Hoc Wireless Sensor Networks
- Adaptive Robust Distributed Learning in Diffusion Sensor Networks
- Diffusion Bias-Compensated RLS Estimation Over Adaptive Networks
- Diffusion Adaptation Over Networks Under Imperfect Information Exchange and Non-Stationary Data
- Diffusion Adaptation Strategies for Distributed Optimization and Learning Over Networks
- Low-Complexity Distributed Total Least Squares Estimation in Ad Hoc Sensor Networks
- Diffusion Sparse Least-Mean Squares Over Networks
- Diffusion Information Theoretic Learning for Distributed Estimation Over Network
- Distributed Least Mean-Square Estimation With Partial Diffusion
- Adaptive Distributed Estimation Based on Recursive Least-Squares and Partial Diffusion
- Distributed Incremental-Based LMS for Node-Specific Adaptive Parameter Estimation
- Distributed Sparse Total Least-Squares Over Networks
- Generalized Correntropy for Robust<?Pub _newline ?>Adaptive Filtering
- On Data-Selective Adaptive Filtering
- Special subgroups of regular semigroups
- Kernel Kalman Filtering With Conditional Embedding and Maximum Correntropy Criterion
- Decentralized Parameter Estimation by Consensus Based Stochastic Approximation
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