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03/29/2023
On Communication-Efficient Multisensor Track Association via Measurement Transformation (Extended Version)
Multisensor track-to-track fusion for target tracking involves two prima...
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01/18/2023
Sequential Processing of Observations in Human Decision-Making Systems
In this work, we consider a binary hypothesis testing problem involving ...
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01/18/2023
Human-Machine Collaboration for Smart Decision Making: Current Trends and Future Opportunities
Recently, modeling of decision making and control systems that include h...
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04/14/2022
Reputation and Audit Bit Based Distributed Detection in the Presence of Byzantine
In this paper, two reputation based algorithms called Reputation and aud...
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03/09/2022
Federated Minimax Optimization: Improved Convergence Analyses and Algorithms
In this paper, we consider nonconvex minimax optimization, which is gain...
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01/03/2022
Monitoring and Anomaly Detection Actor-Critic Based Controlled Sensing
We address the problem of monitoring a set of binary stochastic processe...
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12/08/2021
Scalable and Decentralized Algorithms for Anomaly Detection via Learning-Based Controlled Sensing
We address the problem of sequentially selecting and observing processes...
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09/27/2021
Enhanced Audit Bit Based Distributed Bayesian Detection in the Presence of Strategic Attacks
This paper employs an audit bit based mechanism to mitigate the effect o...
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06/19/2021
STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning
Federated Learning (FL) refers to the paradigm where multiple worker nod...
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05/12/2021
Anomaly Detection via Controlled Sensing and Deep Active Inference
In this paper, we address the anomaly detection problem where the object...
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05/12/2021
A Scalable Algorithm for Anomaly Detection via Learning-Based Controlled Sensing
We address the problem of sequentially selecting and observing processes...
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12/24/2020
Decentralized Federated Learning via Mutual Knowledge Transfer
In this paper, we investigate the problem of decentralized federated lea...
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12/21/2020
Zeroth-Order Hybrid Gradient Descent: Towards A Principled Black-Box Optimization Framework
In this work, we focus on the study of stochastic zeroth-order (ZO) opti...
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11/28/2020
On Performance Comparison of Multi-Antenna HD-NOMA, SCMA and PD-NOMA Schemes
In this paper, we study the uplink channel throughput performance of a p...
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05/01/2020
Distributed Stochastic Non-Convex Optimization: Momentum-Based Variance Reduction
In this work, we propose a distributed algorithm for stochastic non-conv...
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03/16/2020
Anomalous Instance Detection in Deep Learning: A Survey
Deep Learning (DL) is vulnerable to out-of-distribution and adversarial ...
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01/09/2020
On Distributed Online Convex Optimization with Sublinear Dynamic Regret and Fit
In this work, we consider a distributed online convex optimization probl...
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12/12/2019
Parallel Restarted SPIDER – Communication Efficient Distributed Nonconvex Optimization with Optimal Computation Complexity
In this paper, we propose a distributed algorithm for stochastic smooth,...
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12/10/2019
Byzantine Resilient Non-Convex SVRG with Distributed Batch Gradient Computations
In this work, we consider the distributed stochastic optimization proble...
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11/17/2019
Multiple-Source Ellipsoidal Localization Using Acoustic Energy Measurements
In this paper, the multiple-source ellipsoidal localization problem base...
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09/03/2019
Prospect Theory Based Crowdsourcing for Classification in the Presence of Spammers
We consider the M-ary classification problem via crowdsourcing, where cr...
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10/19/2018
On the optimality of likelihood ratio test for prospect theory based binary hypothesis testing
In this letter, the optimality of the likelihood ratio test (LRT) is inv...
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07/31/2018
K-medoids Clustering of Data Sequences with Composite Distributions
This paper studies clustering of data sequences using the k-medoids algo...
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07/08/2018
Abnormality Detection inside Blood Vessels with Mobile Nanomachines
Motivated by the numerous healthcare applications of molecular communica...
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06/25/2018
Why Interpretability in Machine Learning? An Answer Using Distributed Detection and Data Fusion Theory
As artificial intelligence is increasingly affecting all parts of societ...
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05/25/2018
Impact of Cooperation in Flow-Induced Diffusive Mobile Molecular Communication
Motivated by the numerous healthcare applications of molecular communica...
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05/14/2018
Cognitive MIMO-RF/FSO Cooperative Relay Communication with Mobile Nodes and Imperfect Channel State Information
This work analyzes the performance of an underlay cognitive radio based ...
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05/01/2018
Decision Tree Design for Classification in Crowdsourcing Systems
In this paper, we present a novel sequential paradigm for classification...
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01/29/2018
Human-Machine Inference Networks For Smart Decision Making: Opportunities and Challenges
The emerging paradigm of Human-Machine Inference Networks (HuMaINs) comb...
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12/16/2017
A Spectral Approach for the Design of Experiments: Design, Analysis and Algorithms
This paper proposes a new approach to construct high quality space-filli...
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12/08/2017
Nonparametric Composite Hypothesis Testing in an Asymptotic Regime
We investigate the nonparametric, composite hypothesis testing problem f...
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10/26/2017
Optimal Crowdsourced Classification with a Reject Option in the Presence of Spammers
We explore the design of an effective crowdsourcing system for an M-ary ...
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10/18/2017
A Memristor-Based Optimization Framework for AI Applications
Memristors have recently received significant attention as ubiquitous de...
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10/14/2017
Robust Federated Learning Using ADMM in the Presence of Data Falsifying Byzantines
In this paper, we consider the problem of federated (or decentralized) l...
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10/04/2016
Towards the Design of Prospect-Theory based Human Decision Rules for Hypothesis Testing
Detection rules have traditionally been designed for rational agents tha...
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01/22/2016
Universal Collaboration Strategies for Signal Detection: A Sparse Learning Approach
This paper considers the problem of high dimensional signal detection in...
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04/14/2015
Consensus based Detection in the Presence of Data Falsification Attacks
This paper considers the problem of detection in distributed networks in...
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03/04/2013