Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Geng, Baocheng"'
This paper introduces a representative-based approach for distributed learning that transforms multiple raw data points into a virtual representation. Unlike traditional distributed learning methods such as Federated Learning, which do not offer huma
Externí odkaz:
http://arxiv.org/abs/2405.03782
In this work, we consider a binary sequential hypothesis testing problem with distributed and asynchronous measurements. The aim is to analyze the effect of sampling times of jointly $\textit{wide-sense stationary}$ (WSS) Gaussian observation process
Externí odkaz:
http://arxiv.org/abs/2309.07855
This paper investigates distributed detection of sparse stochastic signals with quantized measurements under Byzantine attacks. Under this type of attack, sensors in the networks might send falsified data to degrade system performance. The Bernoulli-
Externí odkaz:
http://arxiv.org/abs/2304.14467
Change detection (CD) in heterogeneous remote sensing images has been widely used for disaster monitoring and land-use management. In the past decade, the heterogeneous CD problem has significantly benefited from the development of deep neural networ
Externí odkaz:
http://arxiv.org/abs/2303.17448
This paper proposes a belief-updating scheme in a human-machine collaborative decision-making network to combat Byzantine attacks. A hierarchical framework is used to realize the network where local decisions from physical sensors act as reference de
Externí odkaz:
http://arxiv.org/abs/2301.10815
This work considers a Bayesian signal processing problem where increasing the power of the probing signal may cause risks or undesired consequences. We employ a market based approach to solve energy management problems for signal detection while bala
Externí odkaz:
http://arxiv.org/abs/2301.07789
In this work, we consider a binary hypothesis testing problem involving a group of human decision-makers. Due to the nature of human behavior, each human decision-maker observes the phenomenon of interest sequentially up to a random length of time. T
Externí odkaz:
http://arxiv.org/abs/2301.07767
Autor:
Geng, Baocheng, Varshney, Pramod K.
Recently, modeling of decision making and control systems that include heterogeneous smart sensing devices (machines) as well as human agents as participants is becoming an important research area due to the wide variety of applications including aut
Externí odkaz:
http://arxiv.org/abs/2301.07766
Autor:
Quan, Chen, Sriranga, Nandan, Yang, Haodong, Han, Yunghsiang S., Geng, Baocheng, Varshney, Pramod K.
In distributed detection systems, energy-efficient ordered transmission (EEOT) schemes are able to reduce the number of transmissions required to make a final decision. In this work, we investigate the effect of data falsification attacks on the perf
Externí odkaz:
http://arxiv.org/abs/2207.08870
In this paper, two reputation based algorithms called Reputation and audit based clustering (RAC) algorithm and Reputation and audit based clustering with auxiliary anchor node (RACA) algorithm are proposed to defend against Byzantine attacks in dist
Externí odkaz:
http://arxiv.org/abs/2204.07212