Distributed Kalman Filtering over Big Data Sets: Fundamental Analysis Through Large Deviations

[1]  Nick McKeown,et al.  A Starvation-free Algorithm For Achieving 100% Throughput in an Input- Queued Switch , 1996 .

[2]  A. Shiryaev,et al.  Limit Theorems for Stochastic Processes , 1987 .

[3]  Stephen P. Boyd,et al.  Fast linear iterations for distributed averaging , 2003, 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475).

[4]  Stergios I. Roumeliotis,et al.  Consensus in Ad Hoc WSNs With Noisy Links—Part II: Distributed Estimation and Smoothing of Random Signals , 2008, IEEE Transactions on Signal Processing.

[5]  Stephen P. Boyd,et al.  Randomized gossip algorithms , 2006, IEEE Transactions on Information Theory.

[6]  Soummya Kar,et al.  Gossip Algorithms for Distributed Signal Processing , 2010, Proceedings of the IEEE.

[7]  Amir Dembo,et al.  Large Deviations Techniques and Applications , 1998 .

[8]  L. Breuer.  Introduction to Stochastic Processes , 2022, Statistical Methods for Climate Scientists.

[9]  Soummya Kar,et al.  Distributed Consensus Algorithms in Sensor Networks With Imperfect Communication: Link Failures and Channel Noise , 2007, IEEE Transactions on Signal Processing.

[10]  L. Arnold.  Random Dynamical Systems , 2003 .

[11]  Richard M. Murray,et al.  Consensus problems in networks of agents with switching topology and time-delays , 2004, IEEE Transactions on Automatic Control.

[12]  Soummya Kar,et al.  Moderate Deviations of a Random Riccati Equation , 2012, IEEE Transactions on Automatic Control.

[13]  Persi Diaconis,et al.  Iterated Random Functions , 1999, SIAM Rev..