Incremental Subgradient Methods for Nondifferentiable Optimization
SIAM Journal on Optimization
Locally constructed algorithms for distributed computations in ad-hoc networks
Proceedings of the 3rd international symposium on Information processing in sensor networks
Convex Optimization
A space-time diffusion scheme for peer-to-peer least-squares estimation
Proceedings of the 5th international conference on Information processing in sensor networks
A scheme for robust distributed sensor fusion based on average consensus
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Adaptive Filters
Adaptive Processing over Distributed Networks
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Multi-level diffusion adaptive networks
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Diffusion least-mean squares with adaptive combiners
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Distributed LMS for consensus-based in-network adaptive processing
IEEE Transactions on Signal Processing
Diffusion Least-Mean Squares Over Adaptive Networks: Formulation and Performance Analysis
IEEE Transactions on Signal Processing - Part II
Incremental Adaptive Strategies Over Distributed Networks
IEEE Transactions on Signal Processing
A unified approach to the steady-state and tracking analyses ofadaptive filters
IEEE Transactions on Signal Processing
Mean-square performance of a convex combination of two adaptive filters
IEEE Transactions on Signal Processing
Transient analysis of data-normalized adaptive filters
IEEE Transactions on Signal Processing
Diffusion Recursive Least-Squares for Distributed Estimation Over Adaptive Networks
IEEE Transactions on Signal Processing
Diffusion LMS-based distributed detection over adaptive networks
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Diffusion least-mean squares with adaptive combiners: formulation and performance analysis
IEEE Transactions on Signal Processing
Decentralized subspace tracking via gossiping
DCOSS'10 Proceedings of the 6th IEEE international conference on Distributed Computing in Sensor Systems
Distributed estimation over complex networks
Information Sciences: an International Journal
Distributed fault tolerant estimation in wireless sensor network using robust diffusion adaptation
ICDCIT'12 Proceedings of the 8th international conference on Distributed Computing and Internet Technology
ACM Transactions on Sensor Networks (TOSN)
Optimal topological design for distributed estimation over sensor networks
Information Sciences: an International Journal
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We consider the problem of distributed estimation, where a set of nodes is required to collectively estimate some parameter of interest from noisy measurements. The problem is useful in several contexts including wireless and sensor networks, where scalability, robustness, and low power consumption are desirable features. Diffusion cooperation schemes have been shown to provide good performance, robustness to node and link failure, and are amenable to distributed implementations. In this work we focus on diffusion-based adaptive solutions of the LMS type. We motivate and propose new versions of the diffusion LMS algorithm that outperform previous solutions. We provide performance and convergence analysis of the proposed algorithms, together with simulation results comparing with existing techniques. We also discuss optimization schemes to design the diffusion LMS weights.