Defending non-Bayesian learning against adversarial attacks

[1]  Ketan Rajawat,et al.  Adversarial Multi-Agent Target Tracking with Inexact Online Gradient Descent , 2017, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[2]  Shahin Shahrampour,et al.  An online optimization approach for multi-agent tracking of dynamic parameters in the presence of adversarial noise , 2017, 2017 American Control Conference (ACC).

[3]  Nitin H. Vaidya,et al.  Non-Bayesian Learning in the Presence of Byzantine Agents , 2016, DISC.

[4]  Pooya Molavi,et al.  Foundations of Non-Bayesian Social Learning , 2016 .

[5]  Nitin H. Vaidya,et al.  Asynchronous Distributed Hypothesis Testing in the Presence of Crash Failures , 2016, ArXiv.

[6]  Ali Jadbabaie,et al.  Learning without Recall: A Case for Log-Linear Learning , 2015, ArXiv.

[7]  Angelia Nedic,et al.  Network independent rates in distributed learning , 2015, 2016 American Control Conference (ACC).

[8]  Shahin Shahrampour,et al.  Finite-time analysis of the distributed detection problem , 2015, 2015 53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton).

[9]  Nitin H. Vaidya,et al.  Reaching approximate Byzantine consensus with multi-hop communication , 2014, Inf. Comput..

[10]  T. Javidi,et al.  Social learning and distributed hypothesis testing , 2014, 2014 IEEE International Symposium on Information Theory.

[11]  Angelia Nedic,et al.  Nonasymptotic convergence rates for cooperative learning over time-varying directed graphs , 2014, 2015 American Control Conference (ACC).

[12]  Shahin Shahrampour,et al.  Distributed Detection: Finite-Time Analysis and Impact of Network Topology , 2014, IEEE Transactions on Automatic Control.

[13]  Shahin Shahrampour,et al.  Exponentially fast parameter estimation in networks using distributed dual averaging , 2013, 52nd IEEE Conference on Decision and Control.

[14]  Nitin H. Vaidya,et al.  Iterative Byzantine Vector Consensus in Incomplete Graphs , 2013, ICDCN.

[15]  Maurice Herlihy,et al.  Multidimensional approximate agreement in Byzantine asynchronous systems , 2013, STOC '13.

[16]  Pooya Molavi,et al.  Information Heterogeneity and the Speed of Learning in Social Networks , 2013 .

[17]  Nitin H. Vaidya,et al.  Byzantine vector consensus in complete graphs , 2013, PODC '13.

[18]  Nitin H. Vaidya,et al.  Matrix Representation of Iterative Approximate Byzantine Consensus in Directed Graphs , 2012, ArXiv.

[19]  Shreyas Sundaram,et al.  Consensus of multi-agent networks in the presence of adversaries using only local information , 2012, HiCoNS '12.

[20]  Lewis Tseng,et al.  Iterative approximate byzantine consensus in arbitrary directed graphs , 2012, PODC '12.

[21]  José M. F. Moura,et al.  Large Deviations Performance of Consensus+Innovations Distributed Detection With Non-Gaussian Observations , 2011, IEEE Transactions on Signal Processing.

[22]  José M. F. Moura,et al.  Distributed Detection Over Noisy Networks: Large Deviations Analysis , 2011, IEEE Transactions on Signal Processing.

[23]  Ali H. Sayed,et al.  Distributed Detection Over Adaptive Networks Using Diffusion Adaptation , 2011, IEEE Transactions on Signal Processing.

[24]  Ali Jadbabaie,et al.  Non-Bayesian Social Learning , 2011, Games Econ. Behav..

[25]  Kamiar Rahnama Rad,et al.  Distributed parameter estimation in networks , 2010, 49th IEEE Conference on Decision and Control (CDC).

[26]  M. Perles,et al.  A generalization of Tverberg's Theorem , 2007, 0710.4668.

[27]  Douglas Gale,et al.  Bayesian learning in social networks , 2003, Games Econ. Behav..

[28]  Venugopal V. Veeravalli,et al.  Decentralized detection in sensor networks , 2003, IEEE Trans. Signal Process..

[29]  Pramod K. Varshney,et al.  Distributed Detection and Data Fusion , 1996 .

[30]  John N. Tsitsiklis,et al.  Decentralized detection by a large number of sensors , 1988, Math. Control. Signals Syst..

[31]  Alan Fekete,et al.  Asymptotically optimal algorithms for approximate agreement , 1986, PODC '86.

[32]  Nancy A. Lynch,et al.  Reaching approximate agreement in the presence of faults , 1986, JACM.

[33]  E. Wong,et al.  Stochastic Processes in Engineering Systems , 1984 .

[34]  Leslie Lamport,et al.  Reaching Agreement in the Presence of Faults , 1980, JACM.

[35]  J. Wolfowitz.  Products of indecomposable, aperiodic, stochastic matrices , 1963 .

[36]  M. Bartlett,et al.  Weak ergodicity in non-homogeneous Markov chains , 1958, Mathematical Proceedings of the Cambridge Philosophical Society.

[37]  J. Shamma,et al.  Belief consensus and distributed hypothesis testing in sensor networks , 2006 .

[38]  Nancy A. Lynch,et al.  Distributed Algorithms , 1992, Lecture Notes in Computer Science.

[39]  J. Tsitsiklis.  Decentralized Detection' , 1993 .