Usman A. Khan

Orcid: 0000-0002-0853-6518

According to our database1, Usman A. Khan authored at least 124 papers between 2007 and 2024.

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Bibliography

2024
Log-Scale Quantization in Distributed First-Order Methods: Gradient-based Learning from Distributed Data.
CoRR, 2024

Peer-to-Peer Model-Agnostic Meta-Learning.
Proceedings of the 13th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2024

Distributed Optimization with Gradient Tracking Over Heterogeneous Delay-Prone Directed Networks.
Proceedings of the European Control Conference, 2024

2023
Distributed delay-tolerant strategies for equality-constraint sum-preserving resource allocation.
Syst. Control. Lett., December, 2023

Distributed Saddle Point Problems for Strongly Concave-Convex Functions.
IEEE Trans. Signal Inf. Process. over Networks, 2023

Consensus-based Networked Tracking in Presence of Heterogeneous Time-Delays.
CoRR, 2023

A Distributed Stochastic First-Order Method for Strongly Concave-Convex Saddle Point Problems.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

A Distributed First-Order Optimization Method for Strongly Concave-Convex Saddle-Point Problems.
Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

Variance Reduced Stochastic Optimization Over Directed Graphs with Row and Column Stochastic Weights.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022
A Fast Randomized Incremental Gradient Method for Decentralized Nonconvex Optimization.
IEEE Trans. Autom. Control., 2022

Fast Decentralized Nonconvex Finite-Sum Optimization with Recursive Variance Reduction.
SIAM J. Optim., 2022

Push-SAGA: A Decentralized Stochastic Algorithm With Variance Reduction Over Directed Graphs.
IEEE Control. Syst. Lett., 2022

Consensus-Based Distributed Estimation in the Presence of Heterogeneous, Time-Invariant Delays.
IEEE Control. Syst. Lett., 2022

Distributed Support Vector Machines Over Dynamic Balanced Directed Networks.
IEEE Control. Syst. Lett., 2022

Distributed Constraint-Coupled Optimization over Lossy Networks.
CoRR, 2022

Stochastic First-Order Methods Over Distributed Data.
Proceedings of the 12th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2022

Fast-Convergent Anytime-Feasible Dynamics for Distributed Allocation of Resources Over Switching Sparse Networks with Quantized Communication Links.
Proceedings of the European Control Conference, 2022

2021
An Improved Convergence Analysis for Decentralized Online Stochastic Non-Convex Optimization.
IEEE Trans. Signal Process., 2021

Distributed Detection and Mitigation of Biasing Attacks Over Multi-Agent Networks.
IEEE Trans. Netw. Sci. Eng., 2021

S-ADDOPT: Decentralized Stochastic First-Order Optimization Over Directed Graphs.
IEEE Control. Syst. Lett., 2021

Analysis of Contractions in System Graphs: Application to State Estimation.
CoRR, 2021

Simultaneous Distributed Estimation and Attack Detection/Isolation in Social Networks: Structural Observability, Kronecker-Product Network, and Chi-Square Detector.
CoRR, 2021

Distributed support-vector-machine over dynamic balanced directed networks.
CoRR, 2021

Delay-Tolerant Consensus-based Distributed Estimation: Full-Rank Systems with Potentially Unstable Dynamics.
CoRR, 2021

A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization.
Proceedings of the 38th International Conference on Machine Learning, 2021

A Decentralized Variance-Reduced Method for Stochastic Optimization Over Directed Graphs.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Variance-Reduced Decentralized Stochastic Optimization With Accelerated Convergence.
IEEE Trans. Signal Process., 2020

Minimal Sufficient Conditions for Structural Observability/Controllability of Composite Networks via Kronecker Product.
IEEE Trans. Signal Inf. Process. over Networks, 2020

On the Complexity of Minimum-Cost Networked Estimation of Self-Damped Dynamical Systems.
IEEE Trans. Netw. Sci. Eng., 2020

Distributed Heavy-Ball: A Generalization and Acceleration of First-Order Methods With Gradient Tracking.
IEEE Trans. Autom. Control., 2020

Decentralized Optimization Over Time-Varying Directed Graphs With Row and Column-Stochastic Matrices.
IEEE Trans. Autom. Control., 2020

Decentralized Stochastic Optimization and Machine Learning: A Unified Variance-Reduction Framework for Robust Performance and Fast Convergence.
IEEE Signal Process. Mag., 2020

Centrality-based epidemic control in complex social networks.
Soc. Netw. Anal. Min., 2020

Cyber-Social Systems: Modeling, Inference, and Optimal Design.
IEEE Syst. J., 2020

A General Framework for Decentralized Optimization With First-Order Methods.
Proc. IEEE, 2020

Optimization for Data-Driven Learning and Control.
Proc. IEEE, 2020

A fast randomized incremental gradient method for decentralized non-convex optimization.
CoRR, 2020

A near-optimal stochastic gradient method for decentralized non-convex finite-sum optimization.
CoRR, 2020

Gradient tracking and variance reduction for decentralized optimization and machine learning.
CoRR, 2020

GT-SAGA: A fast incremental gradient method for decentralized finite-sum minimization.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
Distributed Nesterov Gradient Methods Over Arbitrary Graphs.
IEEE Signal Process. Lett., 2019

FROST - Fast row-stochastic optimization with uncoordinated step-sizes.
EURASIP J. Adv. Signal Process., 2019

Variance-Reduced Decentralized Stochastic Optimization with Gradient Tracking - Part II: GT-SVRG.
CoRR, 2019

Decentralized Stochastic First-Order Methods for Large-scale Machine Learning.
CoRR, 2019

On the Controllability of Clustered Scale-Free Networks.
CoRR, 2019

Distributed Training with Mobile Agents: Optimization Over Dynamic Directed Graphs.
Proceedings of the IEEE Data Science Workshop, 2019

Distributed stochastic optimization with gradient tracking over strongly-connected networks.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Distributed empirical risk minimization over directed graphs.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
Localization in Mobile Networks via Virtual Convex Hulls.
IEEE Trans. Signal Inf. Process. over Networks, 2018

Observational Equivalence in System Estimation: Contractions in Complex Networks.
IEEE Trans. Netw. Sci. Eng., 2018

ADD-OPT: Accelerated Distributed Directed Optimization.
IEEE Trans. Autom. Control., 2018

Linear Convergence in Optimization Over Directed Graphs With Row-Stochastic Matrices.
IEEE Trans. Autom. Control., 2018

Structural Cost-Optimal Design of Sensor Networks for Distributed Estimation.
IEEE Signal Process. Lett., 2018

Distributed Localization: A Linear Theory.
Proc. IEEE, 2018

A Linear Algorithm for Optimization Over Directed Graphs With Geometric Convergence.
IEEE Control. Syst. Lett., 2018

Localization in internets of mobile agents: A linear approach.
CoRR, 2018

Linear Distributed Algorithms For Localization In Mobile Networks.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

On the input-output approach towards distributed estimation.
Proceedings of the 16th European Control Conference, 2018

Subgradient Projection Over Directed Graphs Using Surplus Consensus.
Proceedings of the 2018 IEEE Data Science Workshop, 2018

Product adoption in heterogeneous networks: An epidemiological perspective.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
An Opportunistic Linear-Convex Algorithm for Localization in Mobile Robot Networks.
IEEE Trans. Robotics, 2017

DEXTRA: A Fast Algorithm for Optimization Over Directed Graphs.
IEEE Trans. Autom. Control., 2017

Distributed Subgradient Projection Algorithm Over Directed Graphs.
IEEE Trans. Autom. Control., 2017

Asymptotic Stability of LTV Systems With Applications to Distributed Dynamic Fusion.
IEEE Trans. Autom. Control., 2017

Distributed Estimation Recovery Under Sensor Failure.
IEEE Signal Process. Lett., 2017

On the distributed optimization over directed networks.
Neurocomputing, 2017

Optimization over directed graphs: Linear convergence rate.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Distributed Subspace Consensus in the Presence of Dynamic In-Network Disturbance.
IEEE Trans. Control. Netw. Syst., 2016

Measurement partitioning and observational equivalence in state estimation.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Distributed dynamic optimization over directed graphs.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

On the convergence of time-varying fusion algorithms: Application to localization in dynamic networks.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Fast distributed optimization over directed graphs.
Proceedings of the 2016 American Control Conference, 2016

Unbounded connectivity: Asymptotic stability criteria for stochastic LTV systems.
Proceedings of the 2016 American Control Conference, 2016

Robust sensor localization with locally-computed, global H∞-design.
Proceedings of the 2016 American Control Conference, 2016

A distributed range-based algorithm for localization in mobile networks.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
Leader-Follower Consensus in Mobile Sensor Networks.
IEEE Signal Process. Lett., 2015

Revisiting Finite-Time Distributed Algorithms via Successive Nulling of Eigenvalues.
IEEE Signal Process. Lett., 2015

Localization and tracking in mobile networks: Virtual convex hulls and beyond.
CoRR, 2015

Linear Theory for Self-Localization: Convexity, Barycentric Coordinates, and Cayley-Menger Determinants.
IEEE Access, 2015

Dynamic leader-follower algorithms in mobile multi-agent networks.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

An H∞-based approach for robust sensor localization.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Directed-Distributed Gradient Descent.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2014
Graph-Theoretic Distributed Inference in Social Networks.
IEEE J. Sel. Top. Signal Process., 2014

Asymptotic stability of stochastic LTV systems with applications to distributed dynamic fusion.
CoRR, 2014

Graphic-theoretic distributed inference in social networks.
CoRR, 2014

Collaborative scalar-gain estimators for potentially unstable social dynamics with limited communication.
Autom., 2014

Distributed averaging in the presence of interference.
Proceedings of the 6th International Symposium on Communications, 2014

Scalar-gain distributed estimators for Hermitian systems.
Proceedings of the IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, 2014

Distributed algorithm for shortest path problem via randomized strategy.
Proceedings of 11th IEEE International Conference on Networking, Sensing and Control, 2014

Information alignment for consensus with interference.
Proceedings of the IEEE International Conference on Acoustics, 2014

On the characterization of distributed observability from first principles.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

On the impact of low-rank interference on distributed multi-agent optimization.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

On the convergence rate of swap-collide algorithm for simple task assignment.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

Vulnerability of CPS inference to DoS attacks.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013
On the Genericity Properties in Distributed Estimation: Topology Design and Sensor Placement.
IEEE J. Sel. Top. Signal Process., 2013

Consensus in the presence of interference.
CoRR, 2013

Secure distributed estimation in cyber-physical systems.
Proceedings of the IEEE International Conference on Acoustics, 2013

On the distributed estimation of rank-deficient dynamical systems: A generic approach.
Proceedings of the IEEE International Conference on Acoustics, 2013

Source localization in complex networks using a frequency-domain approach.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

A decentralized algorithm for the preferred assignment problem in multi-agent systems.
Proceedings of the 12th European Control Conference, 2013

Topology design in networked estimation: A generic approach.
Proceedings of the American Control Conference, 2013

2012
On the genericity properties in networked estimation: Topology design and sensor placement
CoRR, 2012

A distributed self-clustering algorithm for autonomous multi-agent systems.
Proceedings of the 50th Annual Allerton Conference on Communication, 2012

Coordinated randomness in sparse graphs.
Proceedings of the 50th Annual Allerton Conference on Communication, 2012

2011
Networked estimation under information constraints
CoRR, 2011

Coordinated networked estimation strategies using structured systems theory.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

A sensor placement and network design paradigm for future smart grids.
Proceedings of the 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2011

On the stability and optimality of distributed Kalman filters with finite-time data fusion.
Proceedings of the American Control Conference, 2011

A coordination-free distributed algorithm for simple assignment problems using randomized actions.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

Communication strategies to ensure generic networked observability in multi-agent systems.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010
Higher dimensional consensus: learning in large-scale networks.
IEEE Trans. Signal Process., 2010

DILAND: an algorithm for distributed sensor localization with noisy distance measurements.
IEEE Trans. Signal Process., 2010

Modeling of Future Cyber-Physical Energy Systems for Distributed Sensing and Control.
IEEE Trans. Syst. Man Cybern. Part A, 2010

Designing the parameters of high dimensional consensus: Multi-objective optimization and pareto-optimality.
Proceedings of the IEEE International Conference on Acoustics, 2010

On connectivity, observability, and stability in distributed estimation.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
Distributed sensor localization in random environments using minimal number of anchor nodes.
IEEE Trans. Signal Process., 2009

Higher dimensional consensus algorithms in sensor networks.
Proceedings of the IEEE International Conference on Acoustics, 2009

Distributed localization and tracking with coordinated and uncoordinated motion models.
Proceedings of the 47th Annual Allerton Conference on Communication, 2009

2008
Distributing the Kalman Filter for Large-Scale Systems.
IEEE Trans. Signal Process., 2008

Millimeter- and Submillimeter-Wave Dielectric Measurements of Household Powders Using Fourier Transform Spectroscopy.
IEEE Trans. Instrum. Meas., 2008

Distributed iterate-collapse inversion (DICI) algorithm for L-banded matrices.
Proceedings of the IEEE International Conference on Acoustics, 2008

Distributed sensor localization in Euclidean spaces: Dynamic environments.
Proceedings of the 46th Annual Allerton Conference on Communication, 2008

A linear iterative algorithm for distributed sensor localization.
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008

2007
Measurement of Broadband Dielectric Properties of Cyclohexane, Chlorobenzene, 10% Formalin, and 1, 4-Dioxane Using Dispersive Fourier Transform Spectroscopy.
IEEE Trans. Instrum. Meas., 2007


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