
Learning on heterogeneous graphs using highorder relations
A heterogeneous graph consists of different vertices and edges types. Le...
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PrivacyPreserving Distributed Projection LMS for Linear Multitask Networks
We develop a privacypreserving distributed projection least mean square...
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Datadriven Regularized Inference Privacy
Data is used widely by service providers as input to inference systems t...
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Quickest Change Detection with Privacy Constraint
This paper considers Lorden's minimax quickest change detection (QCD) pr...
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Attentive Graph Neural Networks for FewShot Learning
Graph Neural Networks (GNN) has demonstrated the superior performance in...
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Arbitrarily Strong UtilityPrivacy Tradeoff in Decentralized Linear Estimation
Each agent in a network makes a local observation that is linearly relat...
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Asymptotically Optimal Sampling Policy for Quickest Change Detection with ObservationSwitching Cost
We consider the problem of quickest change detection (QCD) in a signal w...
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ErrorCorrecting Neural Network
Errorcorrecting output codes (ECOC) is an ensemble method combining a s...
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Orthogonal Projection in Linear Bandits
The expected reward in a linear stochastic bandit model is an unknown li...
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An Unsupervised Bayesian Neural Network for Truth Discovery
The problem of estimating event truths from conflicting agent opinions i...
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GraphFlow: A New Graph Convolutional Network Based on Parallel Flows
In view of the huge success of convolution neural networks (CNN) for ima...
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Quickest Change Detection in the Presence of a Nuisance Change
In the quickest change detection problem in which both nuisance and crit...
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Compressive Privacy for a Linear Dynamical System
We consider a linear dynamical system in which the state vector consists...
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On the Relationship Between Inference and Data Privacy in Decentralized IoT Networks
In a decentralized Internet of Things (IoT) network, a fusion center rec...
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UWB/LiDAR Fusion For Cooperative RangeOnly SLAM
We equip an ultrawideband (UWB) node and a 2D LiDAR sensor a.k.a. 2D la...
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Decentralized Detection with Robust Information Privacy Protection
We consider a decentralized detection network whose aim is to infer a pu...
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Task Recommendation in Crowdsourcing Based on Learning Preferences and Reliabilities
Workers participating in a crowdsourcing platform can have a wide range ...
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Using Social Network Information in Bayesian Truth Discovery
We investigate the problem of truth discovery based on opinions from mul...
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An Eventbased Diffusion LMS Strategy
We consider a wireless sensor network consists of cooperative nodes, eac...
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On Distributed Algorithms for CostEfficient Data Center Placement in Cloud Computing
The increasing popularity of cloud computing has resulted in a prolifera...
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A SemiParametric Binning Approach to Quickest Change Detection
The problem of quickest detection of a change in distribution is conside...
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Multilayer Nonlinear Processing for Information Privacy in Sensor Networks
A sensor network wishes to transmit information to a fusion center to al...
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Sequential MultiClass Labeling in Crowdsourcing
We consider a crowdsourcing platform where workers' responses to questio...
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Wee Peng Tay
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