Soummya Kar
Orcid: 0000000280605581Affiliations:
 Carnegie Mellon University, Pittsburgh, USA
According to our database^{1},
Soummya Kar
authored at least 279 papers
between 2007 and 2024.
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Bibliography
2024
Nonlinear Consensus+Innovations under Correlated HeavyTailed Noises: Mean Square Convergence Rate and Asymptotics.
SIAM J. Control. Optim., February, 2024
A OneShot Framework for Distributed Clustered Learning in Heterogeneous Environments.
IEEE Trans. Signal Process., 2024
CoRR, 2024
CoRR, 2024
CoRR, 2024
2023
MeanField Approximations for Stochastic Population Processes with Heterogeneous Interactions.
SIAM J. Control. Optim., December, 2023
IEEE Signal Process. Mag., July, 2023
SIAM J. Control. Optim., June, 2023
IEEE Trans. Signal Process., 2023
Large Deviations for Products of NonIdentically Distributed Network Matrices With Applications to CommunicationEfficient Distributed Learning and Inference.
IEEE Trans. Signal Process., 2023
Nonlinear Gradient Mappings and Stochastic Optimization: A General Framework with Applications to HeavyTail Noise.
SIAM J. Optim., 2023
Highprobability Convergence Bounds for Nonlinear Stochastic Gradient Descent Under Heavytailed Noise.
CoRR, 2023
Smoothed Gradient Clipping and Error Feedback for Distributed Optimization under HeavyTailed Noise.
CoRR, 2023
CoRR, 2023
CoRR, 2023
ModelFree Learning and Optimal Policy Design in MultiAgent MDPs Under Probabilistic Agent Dropout.
CoRR, 2023
Corrected: On Confident Policy Evaluation for Factored Markov Decision Processes with Node Dropouts.
CoRR, 2023
Communication Efficient ModelAware 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 NearOptimal Clustering with Applications to Control of MultiAgent 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 MatchingBased 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
IEEE Trans. Autom. Control., 2022
Fast Decentralized Nonconvex FiniteSum 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
PushSAGA: A Decentralized Stochastic Algorithm With Variance Reduction Over Directed Graphs.
IEEE Control. Syst. Lett., 2022
CoRR, 2022
CoRR, 2022
OneShot Federated Learning for Model Clustering and Learning in Heterogeneous Environments.
CoRR, 2022
CoRR, 2022
Numerical Comparisons of Linear Power Flow Approximations: Optimality, Feasibility, and Computation Time.
CoRR, 2022
A Fully Decentralized Tuningfree Inexact Projection Method for P2P Energy Trading.
CoRR, 2022
Proceedings of the IEEE International Smart Cities Conference, 2022
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
Proceedings of the 58th Annual Allerton Conference on Communication, 2022
2021
An Improved Convergence Analysis for Decentralized Online Stochastic NonConvex Optimization.
IEEE Trans. Signal Process., 2021
IEEE Control. Syst. Lett., 2021
Distributed design of deterministic discretetime privacy preserving average consensus for multiagent systems through network augmentation.
CoRR, 2021
CoRR, 2021
Meanfield Approximation for Stochastic Population Processes in Networks under Imperfect Information.
CoRR, 2021
A Hybrid VarianceReduced Method for Decentralized Stochastic NonConvex Optimization.
Proceedings of the 38th International Conference on Machine Learning, 2021
A Decentralized VarianceReduced Method for Stochastic Optimization Over Directed Graphs.
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Proceedings of the 2021 American Control Conference, 2021
Resilient decentralized optimization in multiagent networks with data injection attack.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021
2020
VarianceReduced Decentralized Stochastic Optimization With Accelerated Convergence.
IEEE Trans. Signal Process., 2020
IEEE Trans. Smart Grid, 2020
IEEE Trans. Smart Grid, 2020
Decentralized Stochastic Optimization and Machine Learning: A Unified VarianceReduction Framework for Robust Performance and Fast Convergence.
IEEE Signal Process. Mag., 2020
SIAM J. Control. Optim., 2020
Decentralized ZerothOrder Constrained Stochastic Optimization Algorithms: FrankWolfe and Variants With Applications to BlackBox Adversarial Attacks.
Proc. IEEE, 2020
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 nonconvex optimization.
CoRR, 2020
The economics of utilityscale portable energy storage systems in a highrenewable grid.
CoRR, 2020
A nearoptimal stochastic gradient method for decentralized nonconvex finitesum 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 EnergyEfficient Buildings, 2020
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
GTSAGA: A fast incremental gradient method for decentralized finitesum minimization.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020
2019
IEEE Trans. Signal Process., 2019
Compressive Sensing and Morphology Singular EntropyBased RealTime Secondary Voltage Control of Multiarea Power Systems.
IEEE Trans. Ind. Informatics, 2019
IEEE Trans. Autom. Control., 2019
IEEE Trans. Autom. Control., 2019
VarianceReduced Decentralized Stochastic Optimization with Gradient Tracking  Part II: GTSVRG.
CoRR, 2019
CoRR, 2019
CoRR, 2019
CoRR, 2019
Corrigendum to "Selective strong structural minimumcost resilient codesign for regular descriptor linear systems" [Automatica 102 (2019) 8085].
Autom., 2019
Selective strong structural minimumcost resilient codesign 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
Proceedings of the IEEE International Symposium on Information Theory, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the IEEE EUROCON 2019, 2019
Proceedings of the 17th European Control Conference, 2019
Proceedings of the 53rd Annual Conference on Information Sciences and Systems, 2019
Distributed stochastic optimization with gradient tracking over stronglyconnected networks.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
Proceedings of the 8th IEEE International Workshop on Computational Advances in MultiSensor Adaptive Processing, 2019
Distributed Gradient Descent: Nonconvergence to Saddle Points and the StableManifold Theorem.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019
Proceedings of the 57th Annual Allerton Conference on Communication, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019
2018
IEEE Trans. Signal Process., 2018
IEEE Trans. Signal Process., 2018
IEEE Trans. Signal Process., 2018
Structurally Observable Distributed Networks of Agents Under Cost and Robustness Constraints.
IEEE Trans. Signal Inf. Process. over Networks, 2018
IEEE Trans. Smart Grid, 2018
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 CyberPhysical Systems.
IEEE Trans. Control. Netw. Syst., 2018
IEEE Trans. Autom. Control., 2018
IEEE Trans. Autom. Control., 2018
IEEE Signal Process. Mag., 2018
SIAM J. Control. Optim., 2018
Proc. IEEE, 2018
Distributed Quickest Detection in Sensor Networks via TwoLayer Large Deviation Analysis.
IEEE Internet Things J., 2018
EURASIP J. Adv. Signal Process., 2018
Spatiotemporal Arbitrage of LargeScale Portable Energy Storage for Grid Congestion Relief.
CoRR, 2018
CoRR, 2018
Fully Distributed Cooperative Charging for Plugin Electric Vehicles in Constrained Power Networks.
CoRR, 2018
CoRR, 2018
CoRR, 2018
CoRR, 2018
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018
Large Deviations for Products of NonI.i.d. Stochastic Matrices with Application to Distributed Detection.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018
NonAsymptotic Rates for Communication Efficient Distributed Zeroth Order Strongly Convex Optimization.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018
Proceedings of the 2018 IEEE Data Science Workshop, 2018
Distributed Zeroth Order Optimization Over Random Networks: A KieferWolfowitz Stochastic Approximation Approach.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Proceedings of the 2018 Annual American Control Conference, 2018
BestResponse Dynamics in Continuous Potential Games: NonConvergence to Saddle Points.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018
2017
LearningBased Distributed DetectionEstimation 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 InNetwork Linear Function Computation and Consensus: Distortion Accumulation and Sequential Reverse WaterFilling.
IEEE Trans. Inf. Theory, 2017
IEEE Trans. Inf. Theory, 2017
Recursive Distributed Detection for Composite Hypothesis Testing: Nonlinear Observation Models in Additive Gaussian Noise.
IEEE Trans. Inf. Theory, 2017
IEEE Trans. Autom. Control., 2017
Dynamic Attack Detection in CyberPhysical Systems With Side Initial State Information.
IEEE Trans. Autom. Control., 2017
SIAM J. Control. Optim., 2017
Convergence Analysis of Distributed Inference with VectorValued Gaussian Belief Propagation.
J. Mach. Learn. Res., 2017
CoRR, 2017
CoRR, 2017
CoRR, 2017
CoRR, 2017
CoRR, 2017
Autom., 2017
Composability and controllability of structural linear timeinvariant systems: Distributed verification.
Autom., 2017
Compressive SensingBased Optimal Reactive Power Control of a MultiArea Power System.
IEEE Access, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
DistHedge: A partial information setting based distributed nonstochastic sequence prediction algorithm.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017
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
Proceedings of the 55th Annual Allerton Conference on Communication, 2017
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017
2016
IEEE Trans. Signal Process., 2016
Distributed Constrained Recursive Nonlinear LeastSquares 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 LargeScale Systems.
IEEE Trans. Autom. Control., 2016
Rate Distortion for Lossy Innetwork Function Computation: Information Dissipation and Sequential Reverse WaterFilling.
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
Autom., 2016
Proceedings of the Power Systems Computation Conference, 2016
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
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
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
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016
Distributed cooperative charging for plugin electric vehicles: A consensus+innovations approach.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016
Proceedings of the 15th European Control Conference, 2016
Proceedings of the 2016 Science of Security for CyberPhysical Systems Workshop, 2016
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Learning purestrategy Nash equilibria in networked multiagent systems with uncertainty.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Proceedings of the 2016 American Control Conference, 2016
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
Proceedings of the 54th Annual Allerton Conference on Communication, 2016
Computationally efficient learning in largescale games: Sampled fictitious play revisited.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016
2015
Empirical Centroid Fictitious Play: An Approach for Distributed Learning in MultiAgent Games.
IEEE Trans. Signal Process., 2015
IEEE Trans. Signal Process., 2015
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 LargeScale Games.
CoRR, 2015
CoRR, 2015
CoRR, 2015
Distributed Bayesian Quickest Change Detection in Sensor Networks via Twolayer Large Deviation Analysis.
CoRR, 2015
Distributed Verification of Structural Controllability for Linear TimeInvariant Systems.
CoRR, 2015
On the complexity of the constrained input selection problem for structural linear systems.
Autom., 2015
Linear Theory for SelfLocalization: Convexity, Barycentric Coordinates, and CayleyMenger 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
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
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 probustness guarantees using a structural hybrid system approach.
Proceedings of the 14th European Control Conference, 2015
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
Minimum cost constrained inputoutput and control configuration codesign problem: A structural systems approach.
Proceedings of the American Control Conference, 2015
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015
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 LMPbased 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
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
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
Proceedings of the 13th European Control Conference, 2014
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
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014
Gametheoretic learning in a distributedinformation setting: Distributed convergence to meancentric 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 realtime dynamic state estimation in power systems: Structural systems approach.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014
2013
QDLearning: A Collaborative Distributed Strategy for MultiAgent 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
Meancentric equilibrium: An equilibrium concept for learning in largescale games.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013
On a consistent procedure for distributed recursive nonlinear leastsquares estimation.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013
Proceedings of the 21st European Signal Processing Conference, 2013
Optimal cost actuator/sensor placement for large scale linear timeinvariant systems: A structured systems approach.
Proceedings of the 12th European Control Conference, 2013
A decentralized algorithm for the preferred assignment problem in multiagent systems.
Proceedings of the 12th European Control Conference, 2013
Minimum cost inputoutput 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 MultiSensor Adaptive Processing, 2013
Proceedings of the 5th IEEE International Workshop on Computational Advances in MultiSensor Adaptive Processing, 2013
A structured systems approach for optimal actuatorsensor placement in linear timeinvariant 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
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
IEEE Trans. Autom. Control., 2012
Coordinated DataInjection 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 MultiAgent Reinforcement Learning Through Consensus + Innovations
CoRR, 2012
LMPbased 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 systemlevel 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 learningbased approach.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
Proceedings of the 1st International Conference on High Confidence Networked Systems (HiCoNS, 2012
Proceedings of the AsiaPacific Signal and Information Processing Association Annual Summit and Conference, 2012
Distributed learning in largescale multiagent games: A modified fictitious play approach.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012
2011
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
Proceedings of the IEEE Second International Conference on Smart Grid Communications, 2011
Proceedings of the IEEE Second International Conference on Smart Grid Communications, 2011
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011
Proceedings of the IEEE International Conference on Acoustics, 2011
Proceedings of the IEEE International Conference on Acoustics, 2011
Robust Distributed LeastSquares 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 coordinationfree distributed algorithm for simple assignment problems using randomized actions.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011
2010
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
Proc. IEEE, 2010
Designing the parameters of high dimensional consensus: Multiobjective optimization and paretooptimality.
Proceedings of the IEEE International Conference on Acoustics, 2010
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
Sample path large deviations for the randomly sampled continuousdiscrete Kalman filter.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
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
Proceedings of the IEEE International Conference on Acoustics, 2009
A mixed timescale 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
IEEE Trans. Signal Process., 2008
IEEE Trans. Signal Process., 2008
Distributed average consensus in sensor networks with quantized intersensor communication.
Proceedings of the IEEE International Conference on Acoustics, 2008
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
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
CoRR, 2007
Distributed Consensus Algorithms in Sensor Networks: Link Failures and Channel Noise
CoRR, 2007
Proceedings of the IEEE International Conference on Acoustics, 2007