Soummya Kar

Orcid: 0000-0002-8060-5581

Affiliations:
  • Carnegie Mellon University, Pittsburgh, USA


According to our database1, Soummya Kar authored at least 278 papers between 2007 and 2024.

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Bibliography

2024
Nonlinear Consensus+Innovations under Correlated Heavy-Tailed Noises: Mean Square Convergence Rate and Asymptotics.
SIAM J. Control. Optim., February, 2024

A One-Shot Framework for Distributed Clustered Learning in Heterogeneous Environments.
IEEE Trans. Signal Process., 2024

Sample-Optimal Zero-Violation Safety For Continuous Control.
CoRR, 2024

A Unified Framework for Gradient-based Clustering of Distributed Data.
CoRR, 2024

2023
Mean-Field Approximations for Stochastic Population Processes with Heterogeneous Interactions.
SIAM J. Control. Optim., December, 2023

Networked Signal and Information Processing: Learning by multiagent systems.
IEEE Signal Process. Mag., July, 2023

Distributed Recursive Estimation under Heavy-Tail Communication Noise.
SIAM J. Control. Optim., June, 2023

Secure Distributed Optimization Under Gradient Attacks.
IEEE Trans. Signal Process., 2023

Large Deviations for Products of Non-Identically Distributed Network Matrices With Applications to Communication-Efficient Distributed Learning and Inference.
IEEE Trans. Signal Process., 2023

Nonlinear Gradient Mappings and Stochastic Optimization: A General Framework with Applications to Heavy-Tail Noise.
SIAM J. Optim., 2023

High-probability Convergence Bounds for Nonlinear Stochastic Gradient Descent Under Heavy-tailed Noise.
CoRR, 2023

Smoothed Gradient Clipping and Error Feedback for Distributed Optimization under Heavy-Tailed Noise.
CoRR, 2023

Towards Hyperparameter-Agnostic DNN Training via Dynamical System Insights.
CoRR, 2023

An Equivalent Circuit Workflow for Unconstrained Optimization.
CoRR, 2023

Model-Free Learning and Optimal Policy Design in Multi-Agent MDPs Under Probabilistic Agent Dropout.
CoRR, 2023

Corrected: On Confident Policy Evaluation for Factored Markov Decision Processes with Node Dropouts.
CoRR, 2023

Communication Efficient Model-Aware Federated Learning for Visual Crowd Counting and Density Estimation in Smart Cities.
Proceedings of the 31st European Signal Processing Conference, 2023

Maximizing Reachability in Factored MDPs via Near-Optimal Clustering with Applications to Control of Multi-Agent Systems.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Large deviations rates for stochastic gradient descent with strongly convex functions.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 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
Matcha: A Matching-Based Link Scheduling Strategy to Speed up Distributed Optimization.
IEEE Trans. Signal Process., 2022

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

Distributed Gradient Flow: Nonsmoothness, Nonconvexity, and Saddle Point Evasion.
IEEE Trans. Autom. Control., 2022

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

Distributed Stochastic Gradient Descent: Nonconvexity, Nonsmoothness, and Convergence to Local Minima.
J. Mach. Learn. Res., 2022

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

ECCO: Equivalent Circuit Controlled Optimization.
CoRR, 2022

Networked Signal and Information Processing.
CoRR, 2022

One-Shot Federated Learning for Model Clustering and Learning in Heterogeneous Environments.
CoRR, 2022

Cluster-Based Control of Transition-Independent MDPs.
CoRR, 2022

Numerical Comparisons of Linear Power Flow Approximations: Optimality, Feasibility, and Computation Time.
CoRR, 2022

A Fully Decentralized Tuning-free Inexact Projection Method for P2P Energy Trading.
CoRR, 2022

Personalized Federated Learning via Convex Clustering.
Proceedings of the IEEE International Smart Cities Conference, 2022

Gradient Based Clustering.
Proceedings of the International Conference on Machine Learning, 2022

On Confident Policy Evaluation for Factored Markov Decision Processes with Node Dropouts.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Identifying Impactful Agents Via Faux Adversarial Games.
Proceedings of the 58th Annual Allerton Conference on Communication, 2022

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

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

Distributed design of deterministic discrete-time privacy preserving average consensus for multi-agent systems through network augmentation.
CoRR, 2021

On the Accuracy of Deterministic Models for Viral Spread on Networks.
CoRR, 2021

Mean-field Approximation for Stochastic Population Processes in Networks under Imperfect Information.
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

Dynamic Median Consensus Over Random Networks.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Efficient Solutions for Targeted Control of Multi-Agent MDPs.
Proceedings of the 2021 American Control Conference, 2021

Resilient decentralized optimization in multi-agent networks with data injection attack.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

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

Distributed Outage Detection in Power Distribution Networks.
IEEE Trans. Smart Grid, 2020

Sensor Placement for Outage Identifiability in Power Distribution Networks.
IEEE Trans. Smart Grid, 2020

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

Resilient Distributed Field Estimation.
SIAM J. Control. Optim., 2020

Decentralized Zeroth-Order Constrained Stochastic Optimization Algorithms: Frank-Wolfe and Variants With Applications to Black-Box Adversarial Attacks.
Proc. IEEE, 2020

Regular potential games.
Games Econ. Behav., 2020

Learning to Solve AC Optimal Power Flow by Differentiating through Holomorphic Embeddings.
CoRR, 2020

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

The economics of utility-scale portable energy storage systems in a high-renewable grid.
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

COHORT: Coordination of Heterogeneous Thermostatically Controlled Loads for Demand Flexibility.
Proceedings of the BuildSys '20: The 7th ACM International Conference on Systems for Energy-Efficient Buildings, 2020

A Circuit-Theoretic Approach to State Estimation.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2020

Resilient Distributed Recovery of Large Fields.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

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

Exploring the Error-Runtime Trade-off in Decentralized Optimization.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

Finite-Time In-Network Computation of Linear Transforms.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019
Resilient Distributed Parameter Estimation With Heterogeneous Data.
IEEE Trans. Signal Process., 2019

Compressive Sensing and Morphology Singular Entropy-Based Real-Time Secondary Voltage Control of Multiarea Power Systems.
IEEE Trans. Ind. Informatics, 2019

Revisiting Normalized Gradient Descent: Fast Evasion of Saddle Points.
IEEE Trans. Autom. Control., 2019

Resilient Distributed Estimation: Sensor Attacks.
IEEE Trans. Autom. Control., 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

MATCHA: Speeding Up Decentralized SGD via Matching Decomposition Sampling.
CoRR, 2019

Clustering with Distributed Data.
CoRR, 2019

Corrigendum to "Selective strong structural minimum-cost resilient co-design for regular descriptor linear systems" [Automatica 102 (2019) 80-85].
Autom., 2019

Selective strong structural minimum-cost resilient co-design for regular descriptor linear systems.
Autom., 2019

Distributed Holistic Framework for Smart City Infrastructures: Tale of Interdependent Electrified Transportation Network and Power Grid.
IEEE Access, 2019

Distributed Intelligent Algorithm for Interdependent Electrified Transportation and Power Networks.
Proceedings of the 9th ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications, 2019

Coded Elastic Computing.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Secure Analytics and Resilient Inference for the Internet of Things.
Proceedings of the IEEE International Conference on Acoustics, 2019

Communication Efficient Distributed Estimation Over Directed Random Graphs.
Proceedings of the IEEE EUROCON 2019, 2019

Control of Parametric Games.
Proceedings of the 17th European Control Conference, 2019

Optimal Sensor Placement for Topology Identification in Smart Power Grids.
Proceedings of the 53rd Annual Conference on Information Sciences and Systems, 2019

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

Annealing for Distributed Global Optimization.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Distributed Global Optimization by Annealing.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

Distributed Gradient Descent: Nonconvergence to Saddle Points and the Stable-Manifold Theorem.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019

Learning Transition Statistics in Networks of Interacting Agents.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019

Towards Gradient Free and Projection Free Stochastic Optimization.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

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

2018
Fast Temporal Path Localization on Graphs via Multiscale Viterbi Decoding.
IEEE Trans. Signal Process., 2018

CIRFE: A Distributed Random Fields Estimator.
IEEE Trans. Signal Process., 2018

Resilient Distributed Estimation Through Adversary Detection.
IEEE Trans. Signal Process., 2018

Structurally Observable Distributed Networks of Agents Under Cost and Robustness Constraints.
IEEE Trans. Signal Inf. Process. over Networks, 2018

A Fully Distributed Cooperative Charging Approach for Plug-In Electric Vehicles.
IEEE Trans. Smart Grid, 2018

Agent-Based Distributed Security Constrained Optimal Power Flow.
IEEE Trans. Smart Grid, 2018

Toward Distributed/Decentralized DC Optimal Power Flow Implementation in Future Electric Power Systems.
IEEE Trans. Smart Grid, 2018

Optimal Attack Strategies Subject to Detection Constraints Against Cyber-Physical Systems.
IEEE Trans. Control. Netw. Syst., 2018

Distributed Inertial Best-Response Dynamics.
IEEE Trans. Autom. Control., 2018

Cyber-Physical Attacks With Control Objectives.
IEEE Trans. Autom. Control., 2018

The Internet of Things: Secure Distributed Inference.
IEEE Signal Process. Mag., 2018

On Best-Response Dynamics in Potential Games.
SIAM J. Control. Optim., 2018

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

Distributed Quickest Detection in Sensor Networks via Two-Layer Large Deviation Analysis.
IEEE Internet Things J., 2018

Communication efficient distributed weighted non-linear least squares estimation.
EURASIP J. Adv. Signal Process., 2018

Spatiotemporal Arbitrage of Large-Scale Portable Energy Storage for Grid Congestion Relief.
CoRR, 2018

The Economic End of Life of Electrochemical Energy Storage.
CoRR, 2018

Fully Distributed Cooperative Charging for Plug-in Electric Vehicles in Constrained Power Networks.
CoRR, 2018

Coded Iterative Computing using Substitute Decoding.
CoRR, 2018

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

Convergence Analysis of Belief Propagation on Gaussian Graphical Models.
CoRR, 2018

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

Coding for a Single Sparse Inverse Problem.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

CREDO: A Communication-Efficient Distributed Estimation Algorithm.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Large Deviations for Products of Non-I.i.d. Stochastic Matrices with Application to Distributed Detection.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Non-Asymptotic Rates for Communication Efficient Distributed Zeroth Order Strongly Convex Optimization.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

On Graph Convolution for Graph CNNs.
Proceedings of the 2018 IEEE Data Science Workshop, 2018

Distributed Zeroth Order Optimization Over Random Networks: A Kiefer-Wolfowitz Stochastic Approximation Approach.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Convergence Rates for Distributed Stochastic Optimization Over Random Networks.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Resilient Distributed Estimation: Exponential Convergence Under Sensor Attacks.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Attack Resilient Distributed Estimation: A Consensus+Innovations Approach.
Proceedings of the 2018 Annual American Control Conference, 2018

Best-Response Dynamics in Continuous Potential Games: Non-Convergence to Saddle Points.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
Learning-Based Distributed Detection-Estimation in Sensor Networks With Unknown Sensor Defects.
IEEE Trans. Signal Process., 2017

Graph Codes for Distributed Instant Message Collection in an Arbitrary Noisy Broadcast Network.
IEEE Trans. Inf. Theory, 2017

Rate Distortion for Lossy In-Network Linear Function Computation and Consensus: Distortion Accumulation and Sequential Reverse Water-Filling.
IEEE Trans. Inf. Theory, 2017

Computing Linear Transformations With Unreliable Components.
IEEE Trans. Inf. Theory, 2017

Recursive Distributed Detection for Composite Hypothesis Testing: Nonlinear Observation Models in Additive Gaussian Noise.
IEEE Trans. Inf. Theory, 2017

Single Sample Fictitious Play.
IEEE Trans. Autom. Control., 2017

Dynamic Attack Detection in Cyber-Physical Systems With Side Initial State Information.
IEEE Trans. Autom. Control., 2017

Robustness Properties in Fictitious-Play-Type Algorithms.
SIAM J. Control. Optim., 2017

Convergence Analysis of Distributed Inference with Vector-Valued Gaussian Belief Propagation.
J. Mach. Learn. Res., 2017

Topology adaptive graph convolutional networks.
CoRR, 2017

Coding Method for Parallel Iterative Linear Solver.
CoRR, 2017

Fictitious Play in Potential Games.
CoRR, 2017

Robust reputation-based ranking on multipartite rating networks.
CoRR, 2017

Recommendation via matrix completion using Kolmogorov complexity.
CoRR, 2017

The robust minimal controllability problem.
Autom., 2017

Composability and controllability of structural linear time-invariant systems: Distributed verification.
Autom., 2017

Compressive Sensing-Based Optimal Reactive Power Control of a Multi-Area Power System.
IEEE Access, 2017

Coded Distributed Computing for Inverse Problems.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Reputation-Based Ranking Systems and Their Resistance to Bribery.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Fast path localization on graphs via multiscale Viterbi decoding.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Convergence analysis of the information matrix in Gaussian Belief Propagation.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Dist-Hedge: A partial information setting based distributed non-stochastic sequence prediction algorithm.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Convergence analysis of belief propagation for pairwise linear Gaussian models.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Distributed voltage regulation in distribution power grids: Utilizing the photovoltaics inverters.
Proceedings of the 2017 American Control Conference, 2017

On the exponential rate of convergence of fictitious play in potential games.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017

Distributed convergence verification for Gaussian belief propagation.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

Detecting adversaries in distributed estimation.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
Distributed Sequential Detection for Gaussian Shift-in-Mean Hypothesis Testing.
IEEE Trans. Signal Process., 2016

Distributed Constrained Recursive Nonlinear Least-Squares Estimation: Algorithms and Asymptotics.
IEEE Trans. Signal Inf. Process. over Networks, 2016

Guest Editorial The Theory of Complex Systems With Applications to Smart Grid Operations.
IEEE Trans. Smart Grid, 2016

A Framework for Structural Input/Output and Control Configuration Selection in Large-Scale Systems.
IEEE Trans. Autom. Control., 2016

Rate Distortion for Lossy In-network Function Computation: Information Dissipation and Sequential Reverse Water-Filling.
CoRR, 2016

Fictitious Play with Inertia Learns Pure Equilibria in Distributed Games with Incomplete Information.
CoRR, 2016

Recursive Distributed Detection for Composite Hypothesis Testing: Algorithms and Asymptotics.
CoRR, 2016

Minimum cost input/output design for large-scale linear structural systems.
Autom., 2016

A fully distributed approach for plug-in electric vehicle charging.
Proceedings of the Power Systems Computation Conference, 2016

Fault-tolerant parallel linear filtering using compressive sensing.
Proceedings of the 9th International Symposium on Turbo Codes and Iterative Information Processing, 2016

Energy efficient distributed coding for data collection in a noisy sparse network.
Proceedings of the IEEE International Symposium on Information Theory, 2016

Computing linear transforms with unreliable components.
Proceedings of the IEEE International Symposium on Information Theory, 2016

Coding for lossy function computation: Analyzing sequential function computation with distortion accumulation.
Proceedings of the IEEE International Symposium on Information Theory, 2016

Distributed recursive composite hypothesis testing: Imperfect communication.
Proceedings of the IEEE International Symposium on Information Theory, 2016

On the design of phase locked loop oscillatory neural networks: Mitigation of transmission delay effects.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Distributed generalized likelihood ratio tests: Fundamental limits and tradeoffs.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Distributed sequence prediction: A consensus+innovations approach.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Distributed cooperative charging for plug-in electric vehicles: A consensus+innovations approach.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Enhanced secondary frequency control via distributed peer-to-peer communication.
Proceedings of the 15th European Control Conference, 2016

Accountability in cyber-physical systems.
Proceedings of the 2016 Science of Security for Cyber-Physical Systems Workshop, 2016

Information flow for security in control systems.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Learning pure-strategy Nash equilibria in networked multi-agent systems with uncertainty.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Cyber physical attacks with control objectives and detection constraints.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Cyber physical attacks constrained by control objectives.
Proceedings of the 2016 American Control Conference, 2016

Fault-tolerant distributed logistic regression using unreliable components.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016

Adaptive social networks: Strong attractors and emergence and downfall of leaders.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016

Distributed Bayesian quickest change detection in sensor networks via large deviation analysis.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016

Queue-based broadcast gossip algorithm for consensus.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016

Computationally efficient learning in large-scale games: Sampled fictitious play revisited.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

Thermodynamic limit of interacting particle systems over dynamical networks.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
Empirical Centroid Fictitious Play: An Approach for Distributed Learning in Multi-Agent Games.
IEEE Trans. Signal Process., 2015

Distributed Kalman Filtering With Quantized Sensing State.
IEEE Trans. Signal Process., 2015

Cooperative Control of Distributed Energy Storage Systems in a Microgrid.
IEEE Trans. Smart Grid, 2015

Consensus + Innovations Approach for Distributed Multiagent Coordination in a Microgrid.
IEEE Trans. Smart Grid, 2015

Distributed Kalman Filtering Over Massive Data Sets: Analysis Through Large Deviations of Random Riccati Equations.
IEEE Trans. Inf. Theory, 2015

A Computationally Efficient Implementation of Fictitious Play for Large-Scale Games.
CoRR, 2015

From Weak Learning to Strong Learning in Fictitious Play Type Algorithms.
CoRR, 2015

Minimum Sensor Placement for Robust Observability of Structured Complex Networks.
CoRR, 2015

Distributed Bayesian Quickest Change Detection in Sensor Networks via Two-layer Large Deviation Analysis.
CoRR, 2015

Distributed Verification of Structural Controllability for Linear Time-Invariant Systems.
CoRR, 2015

On the complexity of the constrained input selection problem for structural linear systems.
Autom., 2015

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

A functional approach to assessing flexible ramping products' impact on electricity market.
Proceedings of the 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2015

Distributed Kalman Filtering with quantized sensing state.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Cyber-physical systems: Dynamic sensor attacks and strong observability.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Multilevel distributed approach for DC Optimal Power Flow.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

A computationally efficient implementation of fictitious play in a distributed setting.
Proceedings of the 23rd European Signal Processing Conference, 2015

Analysis and design of electric power grids with p-robustness guarantees using a structural hybrid system approach.
Proceedings of the 14th European Control Conference, 2015

On robustness properties in Empirical Centroid Fictitious Play.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Static output feedback: On essential feasible information patterns.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Minimum cost constrained input-output and control configuration co-design problem: A structural systems approach.
Proceedings of the American Control Conference, 2015

Information dissipation in noiseless lossy in-network function computation.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

On asynchronous implementations of fictitious play for distributed learning.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014
Asymptotically Efficient Distributed Estimation With Exponential Family Statistics.
IEEE Trans. Inf. Theory, 2014

Exploring demand flexibility in heterogeneous aggregators: An LMP-based pricing scheme.
ACM Trans. Embed. Comput. Syst., 2014

Distributed State Estimation and Energy Management in Smart Grids: A Consensus+Innovations Approach.
IEEE J. Sel. Top. Signal Process., 2014

Distributed Sequential Detection for Gaussian Binary Hypothesis Testing.
CoRR, 2014

Distributed Kalman Filtering over Big Data: Analysis Through Large Deviations of Random Riccati Equations.
CoRR, 2014

Role of communication on the convergence rate of fully distributed DC optimal power flow.
Proceedings of the 2014 IEEE International Conference on Smart Grid Communications, 2014

Finite-time distributed consensus through graph filters.
Proceedings of the IEEE International Conference on Acoustics, 2014

Minimum number of information gatherers to ensure full observability of a dynamic social network: A structural systems approach.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Distributed parameter estimation with exponential family statistics: Asymptotic efficiency.
Proceedings of the 22nd European Signal Processing Conference, 2014

Optimal design of observable multi-agent networks: A structural system approach.
Proceedings of the 13th European Control Conference, 2014

Strong convergence to mixed equilibria in fictitious play.
Proceedings of the 48th Annual Conference on Information Sciences and Systems, 2014

Design of communication networks for distributed computation with privacy guarantees.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Can a noisy encoder be used to communicate reliably?
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

Game-theoretic learning in a distributed-information setting: Distributed convergence to mean-centric equilibria.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

Distributed sequential detection for Gaussian binary hypothesis testing: Heterogeneous networks.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

Sensor placement for real-time dynamic state estimation in power systems: Structural systems approach.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013
QD-Learning: A Collaborative Distributed Strategy for Multi-Agent Reinforcement Learning Through <i>Consensus</i> + <i>Innovations</i>.
IEEE Trans. Signal Process., 2013

Consensus + Innovations Distributed Inference over Networks: Cooperation and Sensing in Networked Systems.
IEEE Signal Process. Mag., 2013

Distributed Linear Parameter Estimation: Asymptotically Efficient Adaptive Strategies.
SIAM J. Control. Optim., 2013

Identifying small subsets of agents for behavior tracking and abnormal event detection in dynamic networks.
Proceedings of the Workshop on Dynamic Networks Management and Mining, 2013

PMU Placement to Ensure Observable Frequency and Voltage Dynamics: A Structured System Approach.
Proceedings of the 46th Hawaii International Conference on System Sciences, 2013

Mean-centric equilibrium: An equilibrium concept for learning in large-scale games.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

On a consistent procedure for distributed recursive nonlinear least-squares estimation.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Optimal design of distributed sensor networks for field reconstruction.
Proceedings of the 21st European Signal Processing Conference, 2013

Optimal cost actuator/sensor placement for large scale linear time-invariant systems: A structured systems approach.
Proceedings of the 12th European Control Conference, 2013

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

Minimum cost input-output and control configuration selection: A structural systems approach.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

A framework for actuator placement in large scale power systems: Minimal strong structural controllability.
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

Distributed reinforcement learning in multi-agent networks.
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

A structured systems approach for optimal actuator-sensor placement in linear time-invariant systems.
Proceedings of the American Control Conference, 2013

A model checking framework for linear time invariant switching systems using structural systems analysis.
Proceedings of the 51st Annual Allerton Conference on Communication, 2013

2012
Fully Distributed State Estimation for Wide-Area Monitoring Systems.
IEEE Trans. Smart Grid, 2012

Distributed Parameter Estimation in Sensor Networks: Nonlinear Observation Models and Imperfect Communication.
IEEE Trans. Inf. Theory, 2012

Kalman Filtering With Intermittent Observations: Weak Convergence to a Stationary Distribution.
IEEE Trans. Autom. Control., 2012

Moderate Deviations of a Random Riccati Equation.
IEEE Trans. Autom. Control., 2012

Coordinated Data-Injection Attack and Detection in the Smart Grid: A Detailed Look at Enriching Detection Solutions.
IEEE Signal Process. Mag., 2012

$QD$-Learning: A Collaborative Distributed Strategy for Multi-Agent Reinforcement Learning Through Consensus + Innovations
CoRR, 2012

LMP-based real time pricing for optimal capacity planning with maximal wind power integration.
Proceedings of the IEEE Third International Conference on Smart Grid Communications, 2012

Using smart devices for system-level management and control in the smart grid: A reinforcement learning framework.
Proceedings of the IEEE Third International Conference on Smart Grid Communications, 2012

Distributed estimation in sensor networks with imperfect model information: An adaptive learning-based approach.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Distributed detection and isolation of topology attacks in power networks.
Proceedings of the 1st International Conference on High Confidence Networked Systems (HiCoNS, 2012

Real-time adaptive distributed state estimation in smart grids.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2012

Distributed learning in large-scale multi-agent games: A modified fictitious play approach.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

Competitive privacy in the smart grid.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

2011
Gossip and Distributed Kalman Filtering: Weak Consensus Under Weak Detectability.
IEEE Trans. Signal Process., 2011

Convergence Rate Analysis of Distributed Gossip (Linear Parameter) Estimation: Fundamental Limits and Tradeoffs.
IEEE J. Sel. Top. Signal Process., 2011

Distributed joint cyber attack detection and state recovery in smart grids.
Proceedings of the IEEE Second International Conference on Smart Grid Communications, 2011

Competitive privacy in the smart grid: An information-theoretic approach.
Proceedings of the IEEE Second International Conference on Smart Grid Communications, 2011

Distributed detection in noisy sensor networks.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

Global emergent behaviors in clouds of agents.
Proceedings of the IEEE International Conference on Acoustics, 2011

Convergence results in distributed Kalman filtering.
Proceedings of the IEEE International Conference on Acoustics, 2011

Robust Distributed Least-Squares Estimation in Sensor Networks with Node Failures.
Proceedings of the Global Communications Conference, 2011

Bandit problems in networks: Asymptotically efficient distributed allocation rules.
Proceedings of the 50th IEEE Conference on Decision and Control and European 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

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

Distributed consensus algorithms in sensor networks: quantized data and random link failures.
IEEE Trans. Signal Process., 2010

Gossip Algorithms for Distributed Signal Processing.
Proc. IEEE, 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

Sample path large deviations for the randomly sampled continuous-discrete Kalman filter.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

A random dynamical systems approach to filtering in large-scale networks.
Proceedings of the American Control Conference, 2010

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

Distributed Consensus Algorithms in Sensor Networks With Imperfect Communication: Link Failures and Channel Noise.
IEEE Trans. Signal Process., 2009

Kalman Filtering with Intermittent Observations: Weak Convergence and Moderate Deviations
CoRR, 2009

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

A mixed time-scale algorithm for distributed parameter estimation : Nonlinear observation models and imperfect communication.
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
Sensor Networks With Random Links: Topology Design for Distributed Consensus.
IEEE Trans. Signal Process., 2008

Topology for Distributed Inference on Graphs.
IEEE Trans. Signal Process., 2008

Distributed average consensus in sensor networks with quantized inter-sensor communication.
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

Large deviations for many server networks with long range dependent and batch arrivals.
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

Distributed linear parameter estimation in sensor networks: Convergence properties.
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008

2007
Distributed Consensus Algorithms in Sensor Networks: Quantized Data
CoRR, 2007

Distributed Consensus Algorithms in Sensor Networks: Link Failures and Channel Noise
CoRR, 2007

Distributed Average Consensus in Sensor Networks with Random Link Failures.
Proceedings of the IEEE International Conference on Acoustics, 2007


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