Soummya Kar

Soummya Kar's AcademicInfluence.com Rankings

Soummya Kar

Engineering

#6217

World Rank

#7530

Historical Rank

Electrical Engineering

#1818

World Rank

#1919

Historical Rank

Applied Physics

#1954

World Rank

#1989

Historical Rank

engineering Degrees

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Engineering

Soummya Kar's Degrees

PhD Electrical Engineering Stanford University
Masters Electrical Engineering Stanford University

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Soummya Kar's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Gossip Algorithms for Distributed Signal Processing (2010) (811)
Distributed Consensus Algorithms in Sensor Networks With Imperfect Communication: Link Failures and Channel Noise (2007) (644)
Distributed Parameter Estimation in Sensor Networks: Nonlinear Observation Models and Imperfect Communication (2008) (421)
Distributed Consensus Algorithms in Sensor Networks: Quantized Data and Random Link Failures (2007) (407)
Distributed Sensor Localization in Random Environments Using Minimal Number of Anchor Nodes (2008) (312)
Fully Distributed State Estimation for Wide-Area Monitoring Systems (2012) (264)
Sensor Networks With Random Links: Topology Design for Distributed Consensus (2007) (257)
Distributed robust economic dispatch in power systems: A consensus + innovations approach (2012) (255)
Consensus + Innovations Approach for Distributed Multiagent Coordination in a Microgrid (2015) (253)
Convergence Rate Analysis of Distributed Gossip (Linear Parameter) Estimation: Fundamental Limits and Tradeoffs (2010) (232)
Cooperative Control of Distributed Energy Storage Systems in a Microgrid (2015) (222)
Coordinated data-injection attack and detection in the smart grid: A detailed look at enriching detection solutions (2012) (209)
A Framework for Structural Input/Output and Control Configuration Selection in Large-Scale Systems (2013) (204)
Toward Distributed/Decentralized DC Optimal Power Flow Implementation in Future Electric Power Systems (2018) (183)
Distributed State Estimation and Energy Management in Smart Grids: A Consensus${+}$ Innovations Approach (2014) (181)
Consensus + innovations distributed inference over networks: cooperation and sensing in networked systems (2013) (177)
Gossip and Distributed Kalman Filtering: Weak Consensus Under Weak Detectability (2010) (155)
DILAND: An Algorithm for Distributed Sensor Localization With Noisy Distance Measurements (2009) (154)
Topology adaptive graph convolutional networks (2017) (152)
Kalman Filtering With Intermittent Observations: Weak Convergence to a Stationary Distribution (2009) (142)
Topology for Distributed Inference on Graphs (2006) (117)
MATCHA: Speeding Up Decentralized SGD via Matching Decomposition Sampling (2019) (109)
Dynamic Attack Detection in Cyber-Physical Systems With Side Initial State Information (2015) (102)
Finite-time distributed consensus through graph filters (2014) (95)
Competitive privacy in the smart grid: An information-theoretic approach (2011) (93)
Distributed Average Consensus in Sensor Networks with Random Link Failures and Communication Channel Noise (2007) (89)
On connectivity, observability, and stability in distributed estimation (2010) (87)
Distributed Linear Parameter Estimation: Asymptotically Efficient Adaptive Strategies (2011) (85)
Distributed stochastic optimization with gradient tracking over strongly-connected networks (2019) (81)
Optimal Attack Strategies Subject to Detection Constraints Against Cyber-Physical Systems (2016) (80)
Distributed Consensus Algorithms in Sensor Networks: Link Failures and Channel Noise (2007) (78)
${{\cal Q} {\cal D}}$-Learning: A Collaborative Distributed Strategy for Multi-Agent Reinforcement Learning Through ${\rm Consensus} + {\rm Innovations}$ (2012) (76)
On the complexity of the constrained input selection problem for structural linear systems (2014) (74)
Resilient Distributed Estimation Through Adversary Detection (2017) (71)
Minimum cost input/output design for large-scale linear structural systems (2014) (71)
Distributed Localization: A Linear Theory (2018) (68)
Distributed joint cyber attack detection and state recovery in smart grids (2011) (66)
Empirical Centroid Fictitious Play: An Approach for Distributed Learning in Multi-Agent Games (2013) (65)
Decentralized Stochastic Optimization and Machine Learning: A Unified Variance-Reduction Framework for Robust Performance and Fast Convergence (2020) (65)
Risk-Limiting Economic Dispatch for Electricity Markets With Flexible Ramping Products (2014) (64)
Resilient Distributed Estimation: Sensor Attacks (2017) (61)
Computing Linear Transformations With Unreliable Components (2015) (59)
Coded Distributed Computing for Inverse Problems (2017) (57)
Convergence Rates for Distributed Stochastic Optimization Over Random Networks (2018) (55)
Variance-Reduced Decentralized Stochastic Optimization With Accelerated Convergence (2019) (54)
A structured systems approach for optimal actuator-sensor placement in linear time-invariant systems (2012) (53)
Cyber-Physical Attacks With Control Objectives (2016) (52)
The robust minimal controllability problem (2014) (51)
Convergence Analysis of Distributed Inference with Vector-Valued Gaussian Belief Propagation (2016) (51)
An intertemporal decision framework for electrochemical energy storage management (2018) (49)
The Internet of Things: Secure Distributed Inference (2018) (49)
An Improved Convergence Analysis for Decentralized Online Stochastic Non-Convex Optimization (2020) (48)
Distributed Zeroth Order Optimization Over Random Networks: A Kiefer-Wolfowitz Stochastic Approximation Approach (2018) (47)
Higher Dimensional Consensus: Learning in Large-Scale Networks (2009) (47)
Design of communication networks for distributed computation with privacy guarantees (2014) (46)
Agent-Based Distributed Security Constrained Optimal Power Flow (2018) (44)
Distributed detection and isolation of topology attacks in power networks (2012) (44)
Distributed Kalman Filtering Over Massive Data Sets: Analysis Through Large Deviations of Random Riccati Equations (2014) (44)
Using smart devices for system-level management and control in the smart grid: A reinforcement learning framework (2012) (43)
A Fully Distributed Cooperative Charging Approach for Plug-In Electric Vehicles (2018) (43)
Cyber-physical systems: Dynamic sensor attacks and strong observability (2015) (43)
Distributed Sequential Detection for Gaussian Shift-in-Mean Hypothesis Testing (2014) (40)
Distributed detection in noisy sensor networks (2011) (39)
Distributed Holistic Framework for Smart City Infrastructures: Tale of Interdependent Electrified Transportation Network and Power Grid (2019) (39)
On Best-Response Dynamics in Potential Games (2017) (38)
Composability and controllability of structural linear time-invariant systems: Distributed verification (2017) (37)
Distributed Kalman Filtering With Quantized Sensing State (2015) (35)
Minimum cost constrained input-output and control configuration co-design problem: A structural systems approach (2015) (35)
Distributed Constrained Recursive Nonlinear Least-Squares Estimation: Algorithms and Asymptotics (2016) (33)
Cooperative distributed state estimation: Local observability relaxed (2011) (33)
Revisiting Normalized Gradient Descent: Fast Evasion of Saddle Points (2017) (32)
Bandit problems in networks: Asymptotically efficient distributed allocation rules (2011) (31)
Information flow for security in control systems (2016) (31)
Towards Gradient Free and Projection Free Stochastic Optimization (2018) (29)
Distributed Approach for DC Optimal Power Flow Calculations (2014) (29)
On the Exact Solution of the Minimal Controllability Problem (2015) (27)
Distributed average consensus in sensor networks with quantized inter-sensor communication (2008) (27)
A benders decomposition approach to corrective security constrained OPF with power flow control devices (2013) (26)
Annealing for Distributed Global Optimization (2019) (26)
Consensus Based Detection in Sensor Networks : Topology Optimization under Practical Constraints (2007) (25)
Coded Elastic Computing (2018) (23)
Minimum Robust Sensor Placement for Large Scale Linear Time-Invariant Systems: A Structured Systems Approach* (2013) (23)
The Economic End of Life of Electrochemical Energy Storage (2018) (22)
High-Assurance SPIRAL: End-to-End Guarantees for Robot and Car Control (2017) (22)
Role of communication on the convergence rate of fully distributed DC optimal power flow (2014) (22)
Asymptotically Efficient Distributed Estimation With Exponential Family Statistics (2013) (22)
Asynchronous distributed approach for DC Optimal Power Flow (2015) (21)
Cyber physical attacks constrained by control objectives (2016) (21)
Distributed learning in large-scale multi-agent games: A modified fictitious play approach (2012) (19)
A hybrid variance-reduced method for decentralized stochastic non-convex optimization (2021) (19)
Convergence analysis of the information matrix in Gaussian Belief Propagation (2017) (19)
Fast Decentralized Nonconvex Finite-Sum Optimization with Recursive Variance Reduction (2020) (19)
Fault-tolerant distributed logistic regression using unreliable components (2016) (19)
Recursive Distributed Detection for Composite Hypothesis Testing: Nonlinear Observation Models in Additive Gaussian Noise (2016) (18)
Variance-Reduced Decentralized Stochastic Optimization with Gradient Tracking - Part II: GT-SVRG (2019) (18)
Resilient Distributed Parameter Estimation With Heterogeneous Data (2019) (17)
Reputation-Based Ranking Systems and Their Resistance to Bribery (2017) (17)
Fully distributed DC-OPF approach for power flow control (2015) (17)
Linear Theory for Self-Localization: Convexity, Barycentric Coordinates, and Cayley–Menger Determinants (2015) (17)
Optimal design of observable multi-agent networks: A structural system approach (2014) (17)
Utility-Scale Portable Energy Storage Systems (2021) (17)
Cyber physical attacks with control objectives and detection constraints (2016) (16)
Distributed Inertial Best-Response Dynamics (2016) (16)
Can a noisy encoder be used to communicate reliably? (2014) (16)
Ramanujan Topologies for Decision Making in Sensor Networks (2006) (16)
$\mathcal {CIRFE}$: A Distributed Random Fields Estimator (2018) (16)
Structurally Observable Distributed Networks of Agents Under Cost and Robustness Constraints (2017) (16)
Smart Inverter for Voltage Regulation: Physical and Market Implementation (2018) (16)
Distributed linear parameter estimation in sensor networks: Convergence properties (2008) (15)
A Fast Randomized Incremental Gradient Method for Decentralized Nonconvex Optimization (2020) (15)
Coding for a Single Sparse Inverse Problem (2018) (15)
Analysis and design of electric power grids with p-robustness guarantees using a structural hybrid system approach (2015) (15)
Compressive Sensing and Morphology Singular Entropy-Based Real-Time Secondary Voltage Control of Multiarea Power Systems (2018) (14)
A near-optimal stochastic gradient method for decentralized non-convex finite-sum optimization (2020) (14)
Enhanced secondary frequency control via distributed peer-to-peer communication (2014) (14)
On the exponential rate of convergence of fictitious play in potential games (2017) (14)
Optimal Sensor Placement for Topology Identification in Smart Power Grids (2019) (14)
Communication-Efficient Distributed Strongly Convex Stochastic Optimization: Non-Asymptotic Rates. (2018) (14)
A framework for actuator placement in large scale power systems: Minimal strong structural controllability (2013) (14)
ON GRAPH CONVOLUTION FOR GRAPH CNNS (2018) (14)
Fault-tolerant parallel linear filtering using compressive sensing (2016) (14)
Large scale networked dynamical systems: Distributed inference (2010) (14)
Distributed estimation in sensor networks with imperfect model information: An adaptive learning-based approach (2012) (14)
Optimal design of distributed sensor networks for field reconstruction (2013) (13)
Minimum number of information gatherers to ensure full observability of a dynamic social network: A structural systems approach (2014) (13)
Attack Resilient Distributed Estimation: A Consensus+Innovations Approach (2018) (13)
Compressive Sensing-Based Optimal Reactive Power Control of a Multi-Area Power System (2017) (13)
Coded Iterative Computing using Substitute Decoding (2018) (13)
A mixed time-scale algorithm for distributed parameter estimation : Nonlinear observation models and imperfect communication (2009) (13)
Push-SAGA: A Decentralized Stochastic Algorithm With Variance Reduction Over Directed Graphs (2020) (13)
Distributed Gradient Descent: Nonconvergence to Saddle Points and the Stable-Manifold Theorem (2019) (13)
Robust Distributed Least-Squares Estimation in Sensor Networks with Node Failures (2011) (13)
Moderate Deviations of a Random Riccati Equation (2009) (12)
Selective strong structural minimum-cost resilient co-design for regular descriptor linear systems (2017) (12)
Power System Dispatch With Marginal Degradation Cost of Battery Storage (2021) (12)
S-ADDOPT: Decentralized Stochastic First-Order Optimization Over Directed Graphs (2020) (12)
Learning-Based Distributed Detection-Estimation in Sensor Networks With Unknown Sensor Defects (2015) (12)
Distributed Stochastic Gradient Descent: Nonconvexity, Nonsmoothness, and Convergence to Local Minima (2020) (12)
On the behavior of responsive loads in the presence of DFACTS devices (2012) (12)
Sensor Placement for Outage Identifiability in Power Distribution Networks (2019) (12)
A fully distributed approach for plug-in electric vehicle charging (2016) (11)
A model checking framework for linear time invariant switching systems using structural systems analysis (2013) (11)
Distributed convergence verification for Gaussian belief propagation (2017) (11)
Coding Method for Parallel Iterative Linear Solver (2017) (11)
Accountability in cyber-physical systems (2016) (11)
Multilevel distributed approach for DC Optimal Power Flow (2015) (11)
Static output feedback: On essential feasible information patterns (2015) (10)
The economics of utility-scale portable energy storage systems in a high-renewable grid (2020) (10)
Resilient Distributed Estimation: Exponential Convergence Under Sensor Attacks (2018) (10)
Convergence analysis of belief propagation for pairwise linear Gaussian models (2017) (10)
Distributed average consensus: Beyond the realm of linearity (2009) (10)
Robustness Properties in Fictitious-Play-Type Algorithms (2016) (9)
Distributed Stochastic Gradient Descent and Convergence to Local Minima (2020) (9)
Communication Optimality Trade-offs For Distributed Estimation (2018) (9)
Distributed reinforcement learning in multi-agent networks (2013) (9)
Distributed Bayesian Quickest Change Detection in Sensor Networks via Two-layer Large Deviation Analysis (2015) (9)
Distributed sequential detection for Gaussian binary hypothesis testing: Heterogeneous networks (2014) (9)
Distributed Quickest Detection in Sensor Networks via Two-Layer Large Deviation Analysis (2018) (9)
Gradient tracking and variance reduction for decentralized optimization and machine learning (2020) (8)
COHORT: Coordination of Heterogeneous Thermostatically Controlled Loads for Demand Flexibility (2020) (8)
Single Sample Fictitious Play (2017) (8)
Optimal cost actuator/sensor placement for large scale linear time-invariant systems: A structured systems approach (2013) (8)
Distributed Gradient Flow: Nonsmoothness, Nonconvexity, and Saddle Point Evasion (2020) (8)
Higher dimensional consensus algorithms in sensor networks (2009) (8)
A functional approach to assessing flexible ramping products' impact on electricity market (2015) (8)
A Computationally Efficient Implementation of Fictitious Play for Large-Scale Games (2015) (8)
Distributed cooperative charging for plug-in electric vehicles: A consensus+innovations approach (2016) (8)
On the NP-completeness of the Minimal Controllability Problem (2014) (8)
An introduction to decentralized stochastic optimization with gradient tracking (2019) (8)
Minimum Sensor Placement for Robust Observability of Structured Complex Networks (2015) (8)
Distributed voltage regulation in distribution power grids: Utilizing the photovoltaics inverters (2017) (8)
Regular Potential Games (2017) (7)
Fully distributed corrective security constrained optimal power flow (2017) (7)
Distributed Outage Detection in Power Distribution Networks (2020) (7)
Communication efficient distributed weighted non-linear least squares estimation (2018) (7)
Topology Free Resilient Distributed Estimation (2018) (7)
Decentralized Zeroth-Order Constrained Stochastic Optimization Algorithms: Frank–Wolfe and Variants With Applications to Black-Box Adversarial Attacks (2020) (7)
On the design of phase locked loop oscillatory neural networks: Mitigation of transmission delay effects (2016) (7)
Convergence results in distributed Kalman filtering (2011) (7)
A Stochastic Proximal Gradient Framework for Decentralized Non-Convex Composite Optimization: Topology-Independent Sample Complexity and Communication Efficiency (2021) (7)
Promises of Fully Distributed Optimization for IoT-Based Smart City Infrastructures (2020) (7)
NON-ASYMPTOTIC RATES FOR COMMUNICATION EFFICIENT DISTRIBUTED ZEROTH ORDER STRONGLY CONVEX OPTIMIZATION (2018) (6)
Minimum cost input-output and control configuration selection: A structural systems approach (2013) (6)
On asynchronous implementations of fictitious play for distributed learning (2015) (6)
Rate Distortion for Lossy In-Network Linear Function Computation and Consensus: Distortion Accumulation and Sequential Reverse Water-Filling (2017) (6)
Global emergent behaviors in clouds of agents (2011) (6)
On robustness properties in Empirical Centroid Fictitious Play (2015) (6)
On the NP-completeness of the Constrained Minimal Structural Controllability/Observability Problem (2014) (6)
Designing Decentralized Control Systems without Structural Fixed Modes: A Multilayer Approach* (2013) (6)
Kalman Filtering with Intermittent Observations: Weak Convergence and Moderate Deviations (2009) (6)
Resilient Distributed Field Estimation (2019) (6)
Spatiotemporal Arbitrage of Large-Scale Portable Energy Storage for Grid Congestion Relief (2018) (5)
Recursive Distributed Detection for Composite Hypothesis Testing: Algorithms and Asymptotics (2016) (5)
Clustering with Distributed Data (2019) (5)
Computing linear transforms with unreliable components (2016) (5)
Fictitious Play with Inertia Learns Pure Equilibria in Distributed Games with Incomplete Information (2016) (5)
Distributed Intelligent Algorithm for Interdependent Electrified Transportation and Power Networks (2019) (5)
A coordination-free distributed algorithm for simple assignment problems using randomized actions (2011) (5)
Graph Codes for Distributed Instant Message Collection in an Arbitrary Noisy Broadcast Network (2015) (5)
Distributed Algorithms in Sensor Networks (2010) (5)
Strong convergence to mixed equilibria in fictitious play (2014) (5)
CREDO: A Communication-Efficient Distributed Estimation Algorithm (2018) (4)
Fictitious Play in Potential Games (2017) (4)
Distributed Gradient Methods for Nonconvex Optimization: Local and Global Convergence Guarantees. (2020) (4)
PMU Placement to Ensure Observable Frequency and Voltage Dynamics: A Structured System Approach (2013) (4)
Guest Editorial The Theory of Complex Systems With Applications to Smart Grid Operations (2016) (4)
Communication Efficient Distributed Estimation Over Directed Random Graphs (2019) (4)
Decentralized Stochastic First-Order Methods for Large-scale Machine Learning (2019) (4)
A Circuit-Theoretic Approach to State Estimation (2019) (4)
Smart Grid Communications and Networking: Distributed state estimation: a learning-based framework (2012) (4)
Learning pure-strategy Nash equilibria in networked multi-agent systems with uncertainty (2016) (4)
LMP-based real time pricing for optimal capacity planning with maximal wind power integration (2012) (4)
Bad-data detection in smart grid: a distributed approach (2012) (4)
A linear iterative algorithm for distributed sensor localization (2008) (4)
Strong Attractors in Stochastic Adaptive Networks: Emergence and Characterization (2016) (4)
Identifying small subsets of agents for behavior tracking and abnormal event detection in dynamic networks (2013) (4)
Networked Signal and Information Processing (2022) (4)
Distributed Estimation Under Sensor Attacks (2017) (4)
Mean-field Approximation for Stochastic Population Processes in Networks under Imperfect Information (2021) (4)
Mean-centric equilibrium: An equilibrium concept for learning in large-scale games (2013) (4)
Dist-Hedge: A partial information setting based distributed non-stochastic sequence prediction algorithm (2017) (4)
Coding for lossy function computation: Analyzing sequential function computation with distortion accumulation (2016) (4)
A computationally efficient implementation of fictitious play in a distributed setting (2015) (4)
Efficient Solutions for Targeted Control of Multi-Agent MDPs (2021) (4)
Learning to Solve AC Optimal Power Flow by Differentiating through Holomorphic Embeddings (2020) (3)
Personalized Federated Learning via Convex Clustering (2022) (3)
Convergence Analysis of Belief Propagation on Gaussian Graphical Models (2018) (3)
Gradient Based Clustering (2022) (3)
A random dynamical systems approach to filtering in large-scale networks (2009) (3)
Distributed Global Optimization by Annealing (2019) (3)
Exploring the Error-Runtime Trade-off in Decentralized Optimization (2020) (3)
A Survey of Recent Developments and Requirements for Modern Power System Control (2019) (3)
Outage Detection for Distribution Networks Using Limited Number of Power Flow Measurements (2020) (3)
Distributed generalized likelihood ratio tests: Fundamental limits and tradeoffs (2016) (3)
Control of Parametric Games (2019) (3)
Cluster-Based Control of Transition-Independent MDPs (2022) (2)
On the Accuracy of Deterministic Models for Viral Spread on Networks (2021) (2)
From Weak Learning to Strong Learning in Fictitious Play Type Algorithms (2015) (2)
Competitive privacy in the smart grid (2012) (2)
Large Deviations for Products of Non-I.i.d. Stochastic Matrices with Application to Distributed Detection (2018) (2)
Revisiting Normalized Gradient Descent: Evasion of Saddle Points (2017) (2)
Robust reputation-based ranking on multipartite rating networks (2017) (2)
Rate Distortion for Lossy In-network Function Computation: Information Dissipation and Sequential Reverse Water-Filling (2016) (2)
Best-Response Dynamics in Continuous Potential Games: Non-Convergence to Saddle Points (2018) (2)
On a consistent procedure for distributed recursive nonlinear least-squares estimation (2013) (2)
Exploring demand flexibility in heterogeneous aggregators (2014) (2)
Real-time adaptive distributed state estimation in smart grids (2012) (2)
Fast path localization on graphs via multiscale Viterbi decoding (2017) (2)
Information dissipation in noiseless lossy in-network function computation (2015) (2)
Thermodynamic limit of interacting particle systems over dynamical networks (2016) (2)
Linear Distributed Algorithms For Localization In Mobile Networks (2018) (2)
Recommendation via matrix completion using Kolmogorov complexity (2017) (2)
Fast Temporal Path Localization on Graphs via Multiscale Viterbi Decoding (2017) (2)
Distributed sequence prediction: A consensus+innovations approach (2016) (2)
Nonlinear gradient mappings and stochastic optimization: A general framework with applications to heavy-tail noise (2022) (2)
Distributed empirical risk minimization over directed graphs (2019) (2)
Sample path large deviations for the randomly sampled continuous-discrete Kalman filter (2010) (2)
Resilient decentralized optimization in multi-agent networks with data injection attack (2021) (1)
One-Shot Federated Learning for Model Clustering and Learning in Heterogeneous Environments (2022) (1)
Game Theoretic Learning (2018) (1)
Computationally efficient learning in large-scale games: Sampled fictitious play revisited (2016) (1)
Dynamic Median Consensus Over Random Networks (2021) (1)
Numerical Comparisons of Linear Power Flow Approximations: Optimality, Feasibility, and Computation Time (2022) (1)
Adversary Detection and Resilient Distributed Estimation of Parameters from Compact Sets (2017) (1)
Distributed Bayesian quickest change detection in sensor networks via large deviation analysis (2015) (1)
Large deviations rates for stochastic gradient descent with strongly convex functions (2022) (1)
Asymptotic noise analysis of high dimensional consensus (2009) (1)
Minimum Cost Input/Output Selection for Large Scale Linear Time-Invariant Systems: A Structured Systems Approach (2014) (1)
Cascading verification initiated by switching attacks through compromised digital relays (2022) (1)
Energy efficient distributed coding for data collection in a noisy sparse network (2016) (1)
Resistive-Aware Linear Approximations for Solving the Optimal Power Flow Problem for Distribution Networks (2019) (1)
On Confident Policy Evaluation for Factored Markov Decision Processes with Node Dropouts (2022) (1)
Sensor placement for real-time dynamic state estimation in power systems: Structural systems approach (2014) (1)
Distributed recursive composite hypothesis testing: Imperfect communication (2016) (1)
Distributed design of deterministic discrete-time privacy preserving average consensus for multi-agent systems through network augmentation (2021) (1)
A Decentralized Variance-Reduced Method for Stochastic Optimization Over Directed Graphs (2021) (1)
A One-shot Framework for Distributed Clustered Learning in Heterogeneous Environments (2022) (1)
Variance reduced stochastic optimization over directed graphs with row and column stochastic weights (2022) (1)
Detecting adversaries in distributed estimation (2017) (1)
Matcha: A Matching-Based Link Scheduling Strategy to Speed up Distributed Optimization (2022) (1)
Resilient Distributed Recovery of Large Fields (2019) (1)
Distributed Kalman Filtering over Big Data Sets: Fundamental Analysis Through Large Deviations (2014) (1)
ECCO: Equivalent Circuit Controlled Optimization (2022) (0)
Distributed Verification of Structural Controllability for Linear Time-Invariant Systems (2015) (0)
ROBUSTNESS PROPERTIES IN FICTITIOUS-PLAY-TYPE (2016) (0)
Corrigendum to "Selective strong structural minimum-cost resilient co-design for regular descriptor linear systems" [Automatica 102 (2019) 80-85] (2019) (0)
Robustness Properties in Fictitious-Play-Type Algorithms | SIAM Journal on Control and Optimization | Vol. 55, No. 5 | Society for Industrial and Applied Mathematics (2017) (0)
A decentralized algorithm for the preferred assignment problem in multi-agent systems (2013) (0)
Localization in internets of mobile agents: A linear approach (2018) (0)
Statistics and Data Science for Cybersecurity (2023) (0)
Nonlinear consensus+innovations under correlated heavy-tailed noises: Mean square convergence rate and asymptotics (2022) (0)
Identifying Impactful Agents Via Faux Adversarial Games (2022) (0)
Agent-Based Coordination Scheme for PV Integration (ABC4PV) (2020) (0)
Improving Optimal Power Flow Approximations With Resistive Aware Linear Formulations (2020) (0)
A Fully Decentralized Tuning-free Inexact Projection Method for P2P Energy Trading (2022) (0)
Contributors (2019) (0)
Cost Effective Distributed Secondary Frequency Control: A Consensus + Innovations Approach (2014) (0)
Adaptive social networks: Strong attractors and emergence and downfall of leaders (2016) (0)
Secure Distributed Optimization Under Gradient Attacks (2022) (0)
Learning Transition Statistics in Networks of Interacting Agents (2019) (0)
Fully Distributed Cooperative Charging for Plug-in Electric Vehicles in Constrained Power Networks (2018) (0)
Power System Dispatch with Electrochemical Energy Storage (2019) (0)
Reply to Reviewers' Comments Submitted: Feb 10, 2011 (2011) (0)
An intertemporal decision framework for electrochemical energy storage management (2018) (0)
Designing the parameters of high dimensional consensus: Multi-objective optimization and pareto-optimality (2010) (0)
Rejoinder: The Emerging Role of Data Science in Cybersecurity (2023) (0)
Real-time Singular Value Decomposition based Load Frequency Control of Multi-area Power System (2018) (0)
RANDOM FIELDS ESTIMATION : A CONSENSUS + INNOVATIONS APPROACH (2016) (0)
Thermodynamic Limit of Interacting Particle Systems over Time-varying Sparse Random Networks (2017) (0)
Exploration of an Opportunistic Overlaid Paradigm for Complex Networks via Stochastic Geometry (2012) (0)
TheRobustMinimalControllabilityProblem ? (2017) (0)
GT-SAGA: A fast incremental gradient method for decentralized finite-sum minimization (2020) (0)
Minimum Sensor Placement for Single Robust Observability of Structured Complex Networks (2016) (0)
Queue-based broadcast gossip algorithm for consensus (2016) (0)
COHORT (1971) (0)
Game-theoretic learning in a distributed-information setting: Distributed convergence to mean-centric equilibria (2014) (0)
Distributed recursive testing of composite hypothesis in multi-agent networks (2019) (0)
PREDICTION : A CONSENSUS + INNOVATIONS APPROACH (2016) (0)
Distributed Kalman Filtering over Big Data: Analysis Through Large Deviations of Random Riccati Equations (2014) (0)
Minimal Distortion Cost Energy Dispatch for Electricity Markets with Flexible Ramping Products (2014) (0)
Distributed parameter estimation with exponential family statistics: Asymptotic efficiency (2014) (0)
Finite-Time In-Network Computation of Linear Transforms (2020) (0)
Large Deviations for Products of Non-Identically Distributed Network Matrices With Applications to Communication-Efficient Distributed Learning and Inference (2023) (0)
A novel geometric approach towards a linear theory for sensor localization (2013) (0)
Secure Analytics and Resilient Inference for the Internet of Things (2019) (0)
Composability andControllability of Structural Linear Time-Invariant Systems : DistributedVerification ? (2016) (0)
Model-Free Learning and Optimal Policy Design in Multi-Agent MDPs Under Probabilistic Agent Dropout (2023) (0)
Mean-field Approximations for Stochastic Population Processes with Heterogenous Interactions (2021) (0)

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Soummya Kar is affiliated with the following schools:

Carnegie Mellon University

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Published Works

What Schools Are Affiliated With Soummya Kar?

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