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This paper addresses the problem of non-Bayesian learning over multi-agent networks, where agents repeatedly collect partially informative observations about an unknown state of the world, and try to collaboratively learn the true state.
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J. Hajnal and M. Bartlett · 1958
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D. Dolev, N. A. Lynch, S. S. Pinter, E. W. Stark, and W. E. Weihl · 1986
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Decentralized detection by a large number of sensors
J. Tsitsiklis · 1988
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Asymptotically optimal algorithms for approximate agreement
A. D. Fekete · 1990
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Decentralized detection
J. N. Tsitsiklis · 1993
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Distributed Algorithms
N. A. Lynch · 1996
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Decentralized detection in sensor networks
J.-F. Chamberland and V. V. Veeravalli · 2003
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Bayesian learning in social networks
D. Gale and S. Kariv · 2003
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A generalization of Tverberg’s theorem
M.A. Perles and M. Sigron · 2007
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Distributed parameter estimation in networks
K. R. Rad and A. Tahbaz-Salehi · 2010
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Distributed detection over adaptive networks using diffusion adaptation
F. S. Cattivelli and A. H. Sayed · 2011
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Non-bayesian social learning
A. Jadbabaie, P. Molavi, A. Sandroni, and A. Tahbaz-Salehi · 2012
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Distributed Detection and Data Fusion
P. K. Varshney · 2012
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Stochastic Processes in Engineering Systems
E. Wong and B. Hajek · 2012
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Matrix Representation of Iterative Approximate Byzantine Consensus in Directed Graphs
N. H. Vaidya · 2012
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Large deviations performance of consensus+ innovations distributed detection with non-gaussian observations
D. Bajović, D. Jakovetić, J. M. Moura, J. Xavier, and B. Sinopoli · 2012
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Byzantine vector consensus in complete graphs
N. H. Vaidya and V. K. Garg · 2013
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Multidimensional approximate agreement in byzantine asynchronous systems
H. Mendes and M. Herlihy · 2013
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Social learning and distributed hypothesis testing
A. Lalitha, A. Sarwate, and T. Javidi · 2014
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Nonasymptotic convergence rates for cooperative learning over time-varying directed graphs
A. Nedić, A. Olshevsky, and C. A. Uribe · 2014
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Distributed detection: Finite-time analysis and impact of network topology
S. Shahrampour, A. Rakhlin, and A. Jadbabaie · 2014
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Distributed detection over noisy networks: Large deviations analysis
D. Jakovetić, J. M. Moura, and J. Xavier · 2012
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Consensus of multi-agent networks in the presence of adversaries using only local information
H. J. LeBlanc, H. Zhang, S. Sundaram, and X. Koutsoukos · 2012
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Iterative approximate byzantine consensus in arbitrary directed graphs
N. H. Vaidya, L. Tseng, and G. Liang · 2012
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Information heterogeneity and the speed of learning in social networks
A. Jadbabaie, P. Molavi, and A. Tahbaz-Salehi · 2013
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Exponentially fast parameter estimation in networks using distributed dual averaging
S. Shahrampour and A. Jadbabaie · 2013
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N. H. Vaidya · 2014
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Reaching approximate byzantine consensus with multi-hop communication
L. Su and N. H. Vaidya · 2015
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Foundations of non-bayesian social learning
P. Molavi and A. Jadbabaie · 2015
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Finite-time analysis of the distributed detection problem
S. Shahrampour, A. Rakhlin, and A. Jadbabaie · 2015
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Network Independent Rates in Distributed Learning
A. Nedić, A. Olshevsky, and C. A. Uribe · 2015
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Asynchronous Distributed Hypothesis Testing in the Presence of Crash Failures
L. Su, and N. H. Vaidya · 2016
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