Soummya Kar
Orcid: 0000-0002-8060-5581Affiliations:
- Carnegie Mellon University, Pittsburgh, USA
According to our database1,
Soummya Kar
authored at least 286 papers
between 2007 and 2025.
Collaborative distances:
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Bibliography
2025
A Systematic Mapping Study on Quantum and Quantum-inspired Algorithms in Operations Research.
ACM Comput. Surv., March, 2025
2024
IEEE Trans. Autom. Control., October, 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
Large Deviations and Improved Mean-squared Error Rates of Nonlinear SGD: Heavy-tailed Noise and Power of Symmetry.
CoRR, 2024
Nonlinear Stochastic Gradient Descent and Heavy-tailed Noise: A Unified Framework and High-probability Guarantees.
CoRR, 2024
Proceedings of the IEEE International Conference on Communications, 2024
Proceedings of the IEEE International Conference on Communications, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
2023
Mean-Field 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 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
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
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
One-Shot Federated Learning for Model Clustering and Learning in Heterogeneous Environments.
CoRR, 2022
Numerical Comparisons of Linear Power Flow Approximations: Optimality, Feasibility, and Computation Time.
CoRR, 2022
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 Non-Convex Optimization.
IEEE Trans. Signal Process., 2021
IEEE Control. Syst. Lett., 2021
Distributed design of deterministic discrete-time privacy preserving average consensus for multi-agent systems through network augmentation.
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
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 multi-agent networks with data injection attack.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021
2020
IEEE Trans. Signal Process., 2020
IEEE Trans. Smart Grid, 2020
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
Decentralized Zeroth-Order Constrained Stochastic Optimization Algorithms: Frank-Wolfe and Variants With Applications to Black-Box Adversarial Attacks.
Proc. IEEE, 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
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2020
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
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 Entropy-Based Real-Time Secondary Voltage Control of Multiarea Power Systems.
IEEE Trans. Ind. Informatics, 2019
IEEE Trans. Autom. Control., 2019
Variance-Reduced Decentralized Stochastic Optimization with Gradient Tracking - Part II: GT-SVRG.
CoRR, 2019
CoRR, 2019
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
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 strongly-connected 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 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
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
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 Cyber-Physical Systems.
IEEE Trans. Control. Netw. Syst., 2018
IEEE Signal Process. Mag., 2018
Distributed Quickest Detection in Sensor Networks via Two-Layer Large Deviation Analysis.
IEEE Internet Things J., 2018
EURASIP J. Adv. Signal Process., 2018
Spatiotemporal Arbitrage of Large-Scale Portable Energy Storage for Grid Congestion Relief.
CoRR, 2018
Fully Distributed Cooperative Charging for Plug-in Electric Vehicles in Constrained Power Networks.
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 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
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
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
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
IEEE Trans. Inf. Theory, 2017
Recursive Distributed Detection for Composite Hypothesis Testing: Nonlinear Observation Models in Additive Gaussian Noise.
IEEE Trans. Inf. Theory, 2017
Dynamic Attack Detection in Cyber-Physical Systems With Side Initial State Information.
IEEE Trans. Autom. Control., 2017
SIAM J. Control. Optim., 2017
Convergence Analysis of Distributed Inference with Vector-Valued Gaussian Belief Propagation.
J. Mach. Learn. Res., 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
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
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
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 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
Autom., 2016
Proceedings of the Power Systems Computation Conference, 2016
Proceedings of the 9th International Symposium on Turbo Codes and Iterative Information Processing, 2016
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 plug-in 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 Cyber-Physical Systems Workshop, 2016
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
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
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 large-scale 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 Multi-Agent 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
CoRR, 2015
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
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 p-robustness 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 input-output and control configuration co-design 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
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 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
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
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
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
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
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
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
Proceedings of the 1st International Conference on High Confidence Networked Systems (HiCoNS, 2012
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
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
Proceedings of the Global Communications Conference, 2011
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
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
Designing the parameters of high dimensional consensus: Multi-objective optimization and pareto-optimality.
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 continuous-discrete 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 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
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
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
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008
2007
CoRR, 2007
Proceedings of the IEEE International Conference on Acoustics, 2007