Fetching the paper…
Reading the bibliography…
This work studies the problem of non-Bayesian learning over multi-agent network when there are some adversarial (faulty) agents in the network.
Convergence and asymptotic agreement in distributed decision problems
J. N. Tsitsiklis and M. Athans · 1984
Earlier work this paper cites.
Bayesian learning in social networks
D. Gale and S. Kariv · 1988
Earlier work this paper cites.
Finding parity in simple broadcast networks
R. G. Gallager · 1988
Earlier work this paper cites.
Decentralized detection
J. N. Tsitsiklis · 1993
Earlier work this paper cites.
Distributed detection over adaptive networks using diffusion adaptation
F. S. Cattivelli and A. H. Sayed · 2011
Earlier work this paper cites.
Non-baysian social learning
A. Jadbabaie, P. Molavi, A. Sandroni, and A. Tahbaz-Salehi · 2012
Earlier work this paper cites.
Distributed detection over noisy networks: Large deviations analysis
D. Jakovetić, J. M. Moura, and J. Xavier · 2012
Cited alongside, same era.
Matrix representation of iterative approximate byzantine consensus in directed graphs
N. H. Vaidya · 2012
Cited alongside, same era.
Distributed Detection and Data Fusion
P. K. Varshney · 2012
Cited alongside, same era.
Exponentially fast parameter estimation in networks using distributed dual averaging
S. Shahrampour and A. Jadbabaie · 2013
Cited alongside, same era.
Iterative byzantine vector consensus in incomplete graphs
N. H. Vaidya · 2014
Cited alongside, same era.
Nonasymptotic convergence rates for cooperative learning over time-varying directed graphs
A. Nedić, A. Olshevsky, and C. A. Uribe · 2015
Later among the works it cites.
A tutorial on distributed (non-bayesian) learning: Problem, algorithms and results
A. Nedić, A. Olshevsky, and C. A. Uribe · 2016
Later among the works it cites.
Defending non-bayesian learning against adversarial attacks
L. Su and N. H. Vaidya · 2016
Later among the works it cites.
Non-bayesian learning in the presence of byzantine agents
L. Su and N. H. Vaidya · 2016
Later among the works it cites.
Defending non-bayesian learning against adversarial attacks
L. Su and N. H. Vaidya · 2018
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…