Soummya Kar

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 216

Top Venues

CoRR

CDC

IEEE Trans. Signal Process.

ACSSC

Publications

Cláudio Gomes, João Paulo Fernandes, Gabriel Falcão, Soummya Kar, Sridhar Tayur
Vehicle-to-Vehicle Charging: Model, Complexity, and Heuristics. CoRR (2024)
Roula Nassif, Soummya Kar, Stefan Vlaski
Learning Dynamics of Low-Precision Clipped SGD with Momentum. ICASSP (2024)
Ritabrata Ray, Yorie Nakahira, Soummya Kar
Sample-Optimal Zero-Violation Safety For Continuous Control. CoRR (2024)
Manojlo Vukovic, Dusan Jakovetic, Dragana Bajovic, Soummya Kar
Nonlinear Consensus+Innovations under Correlated Heavy-Tailed Noises: Mean Square Convergence Rate and Asymptotics. SIAM J. Control. Optim. 62 (1) (2024)
Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
A One-Shot Framework for Distributed Clustered Learning in Heterogeneous Environments. IEEE Trans. Signal Process. 72 (2024)
Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
A Unified Framework for Gradient-based Clustering of Distributed Data. CoRR (2024)
Aleksandar Armacki, Pranay Sharma, Gauri Joshi, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
High-probability Convergence Bounds for Nonlinear Stochastic Gradient Descent Under Heavy-tailed Noise. CoRR (2023)
Stefan Vlaski, Soummya Kar, Ali H. Sayed, José M. F. Moura
Networked Signal and Information Processing: Learning by multiagent systems. IEEE Signal Process. Mag. 40 (5) (2023)
Carmel Fiscko, Soummya Kar, Bruno Sinopoli
Corrected: On Confident Policy Evaluation for Factored Markov Decision Processes with Node Dropouts. CoRR (2023)
Muhammad I. Qureshi, Ran Xin, Soummya Kar, Usman A. Khan
Variance Reduced Stochastic Optimization Over Directed Graphs with Row and Column Stochastic Weights. ACSSC (2023)
Dusan Jakovetic, Manojlo Vukovic, Dragana Bajovic, Anit Kumar Sahu, Soummya Kar
Distributed Recursive Estimation under Heavy-Tail Communication Noise. SIAM J. Control. Optim. 61 (3) (2023)
Carmel Fiscko, Soummya Kar, Bruno Sinopoli
Model-Free Learning and Optimal Policy Design in Multi-Agent MDPs Under Probabilistic Agent Dropout. CoRR (2023)
Shuhua Yu, Dusan Jakovetic, Soummya Kar
Smoothed Gradient Clipping and Error Feedback for Distributed Optimization under Heavy-Tailed Noise. CoRR (2023)
Nemanja Petrovic, Dragana Bajovic, Soummya Kar, Dusan Jakovetic, Anit Kumar Sahu
Large Deviations for Products of Non-Identically Distributed Network Matrices With Applications to Communication-Efficient Distributed Learning and Inference. IEEE Trans. Signal Process. 71 (2023)
Carmel Fiscko, Soummya Kar, Bruno Sinopoli
Maximizing Reachability in Factored MDPs via Near-Optimal Clustering with Applications to Control of Multi-Agent Systems. CDC (2023)
Shuhua Yu, Soummya Kar
Secure Distributed Optimization Under Gradient Attacks. IEEE Trans. Signal Process. 71 (2023)
Dusan Jakovetic, Dragana Bajovic, Anit Kumar Sahu, Soummya Kar, Nemanja Milosevic, Dusan Stamenkovic
Nonlinear Gradient Mappings and Stochastic Optimization: A General Framework with Applications to Heavy-Tail Noise. SIAM J. Optim. 33 (2) (2023)
Dragana Bajovic, Dusan Jakovetic, Soummya Kar
Large deviations rates for stochastic gradient descent with strongly convex functions. AISTATS (2023)
Aayushya Agarwal, Carmel Fiscko, Soummya Kar, Larry T. Pileggi, Bruno Sinopoli
An Equivalent Circuit Workflow for Unconstrained Optimization. CoRR (2023)
Carmel Fiscko, Aayushya Agarwal, Yihan Ruan, Soummya Kar, Larry T. Pileggi, Bruno Sinopoli
Towards Hyperparameter-Agnostic DNN Training via Dynamical System Insights. CoRR (2023)
Anirudh Sridhar, Soummya Kar
Mean-Field Approximations for Stochastic Population Processes with Heterogeneous Interactions. SIAM J. Control. Optim. 61 (6) (2023)
Muhammad I. Qureshi, Ran Xin, Soummya Kar, Usman A. Khan
Push-SAGA: A Decentralized Stochastic Algorithm With Variance Reduction Over Directed Graphs. IEEE Control. Syst. Lett. 6 (2022)
Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
One-Shot Federated Learning for Model Clustering and Learning in Heterogeneous Environments. CoRR (2022)
Jianyu Wang, Anit Kumar Sahu, Gauri Joshi, Soummya Kar
Matcha: A Matching-Based Link Scheduling Strategy to Speed up Distributed Optimization. IEEE Trans. Signal Process. 70 (2022)
Carmel Fiscko, Soummya Kar, Bruno Sinopoli
Identifying Impactful Agents Via Faux Adversarial Games. Allerton (2022)
Aayushya Agarwal, Carmel Fiscko, Soummya Kar, Larry T. Pileggi, Bruno Sinopoli
ECCO: Equivalent Circuit Controlled Optimization. CoRR (2022)
Muhammad I. Qureshi, Ran Xin, Soummya Kar, Usman A. Khan
Variance reduced stochastic optimization over directed graphs with row and column stochastic weights. CoRR (2022)
Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
Personalized Federated Learning via Convex Clustering. CoRR (2022)
Ran Xin, Usman A. Khan, Soummya Kar
A Fast Randomized Incremental Gradient Method for Decentralized Nonconvex Optimization. IEEE Trans. Autom. Control. 67 (10) (2022)
Carmel Fiscko, Soummya Kar, Bruno Sinopoli
Cluster-Based Control of Transition-Independent MDPs. CoRR (2022)
Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
Gradient Based Clustering. ICML (2022)
Shuhua Yu, Soummya Kar
Secure Distributed Optimization Under Gradient Attacks. CoRR (2022)
Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
Personalized Federated Learning via Convex Clustering. ISC2 (2022)
Carmel Fiscko, Soummya Kar, Bruno Sinopoli
On Confident Policy Evaluation for Factored Markov Decision Processes with Node Dropouts. CDC (2022)
Meiyi Li, Javad Mohammadi, Soummya Kar
A Fully Decentralized Tuning-free Inexact Projection Method for P2P Energy Trading. CoRR (2022)
Meiyi Li, Yuhan Du, Javad Mohammadi, Constance Crozier, Kyri Baker, Soummya Kar
Numerical Comparisons of Linear Power Flow Approximations: Optimality, Feasibility, and Computation Time. CoRR (2022)
Dusan Jakovetic, Dragana Bajovic, Anit Kumar Sahu, Soummya Kar, Nemanja Milosevic, Dusan Stamenkovic
Nonlinear gradient mappings and stochastic optimization: A general framework with applications to heavy-tail noise. CoRR (2022)
Dragana Bajovic, Dusan Jakovetic, Soummya Kar
Large deviations rates for stochastic gradient descent with strongly convex functions. CoRR (2022)
Brian Swenson, Ryan Murray, H. Vincent Poor, Soummya Kar
Distributed Stochastic Gradient Descent: Nonconvexity, Nonsmoothness, and Convergence to Local Minima. J. Mach. Learn. Res. 23 (2022)
Ran Xin, Usman A. Khan, Soummya Kar
Fast Decentralized Nonconvex Finite-Sum Optimization with Recursive Variance Reduction. SIAM J. Optim. 32 (1) (2022)
Brian Swenson, Ryan W. Murray, H. Vincent Poor, Soummya Kar
Distributed Gradient Flow: Nonsmoothness, Nonconvexity, and Saddle Point Evasion. IEEE Trans. Autom. Control. 67 (8) (2022)
Manojlo Vukovic, Dusan Jakovetic, Dragana Bajovic, Soummya Kar
Nonlinear consensus+innovations under correlated heavy-tailed noises: Mean square convergence rate and asymptotics. CoRR (2022)
Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
Gradient Based Clustering. CoRR (2022)
Stefan Vlaski, Soummya Kar, Ali H. Sayed, José M. F. Moura
Networked Signal and Information Processing. CoRR (2022)
Shuhua Yu, Yuan Chen, Soummya Kar
Dynamic Median Consensus Over Random Networks. CDC (2021)
Muhammad I. Qureshi, Ran Xin, Soummya Kar, Usman A. Khan
S-ADDOPT: Decentralized Stochastic First-Order Optimization Over Directed Graphs. IEEE Control. Syst. Lett. 5 (3) (2021)
Anirudh Sridhar, Soummya Kar
On the Accuracy of Deterministic Models for Viral Spread on Networks. CoRR (2021)
Ran Xin, Usman A. Khan, Soummya Kar
A hybrid variance-reduced method for decentralized stochastic non-convex optimization. CoRR (2021)
Shuhua Yu, Yuan Chen, Soummya Kar
Resilient decentralized optimization in multi-agent networks with data injection attack. ACSCC (2021)
Anirudh Sridhar, Soummya Kar
Mean-field Approximation for Stochastic Population Processes in Networks under Imperfect Information. CoRR (2021)
Carmel Fiscko, Soummya Kar, Bruno Sinopoli
Efficient Solutions for Targeted Control of Multi-Agent MDPs. ACC (2021)
Ran Xin, Usman A. Khan, Soummya Kar
An Improved Convergence Analysis for Decentralized Online Stochastic Non-Convex Optimization. IEEE Trans. Signal Process. 69 (2021)
Shuhua Yu, Yuan Chen, Soummya Kar
Dynamic Median Consensus Over Random Networks. CoRR (2021)
Ran Xin, Usman A. Khan, Soummya Kar
A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization. ICML (2021)
Muhammad I. Qureshi, Ran Xin, Soummya Kar, Usman A. Khan
A Decentralized Variance-Reduced Method for Stochastic Optimization Over Directed Graphs. ICASSP (2021)
Guilherme Ramos, A. Pedro Aguiar, Soummya Kar, Sérgio Pequito
Distributed design of deterministic discrete-time privacy preserving average consensus for multi-agent systems through network augmentation. CoRR (2021)
Henning Lange, Bingqing Chen, Mario Berges, Soummya Kar
Learning to Solve AC Optimal Power Flow by Differentiating through Holomorphic Embeddings. CoRR (2020)
Muhammad I. Qureshi, Ran Xin, Soummya Kar, Usman A. Khan
Push-SAGA: A decentralized stochastic algorithm with variance reduction over directed graphs. CoRR (2020)
Bingqing Chen, Jonathan Francis, Marco Pritoni, Soummya Kar, Mario Bergés
COHORT: Coordination of Heterogeneous Thermostatically Controlled Loads for Demand Flexibility. BuildSys@SenSys (2020)
Anit Kumar Sahu, Soummya Kar
Decentralized Zeroth-Order Constrained Stochastic Optimization Algorithms: Frank-Wolfe and Variants With Applications to Black-Box Adversarial Attacks. Proc. IEEE 108 (11) (2020)
Yuan Chen, Soummya Kar, José M. F. Moura
Resilient Distributed Field Estimation. SIAM J. Control. Optim. 58 (3) (2020)
Soummya Kar, Markus Püschel, José M. F. Moura
Finite-Time In-Network Computation of Linear Transforms. ACSSC (2020)
Bingqing Chen, Jonathan Francis, Marco Pritoni, Soummya Kar, Mario Bergés
COHORT: Coordination of Heterogeneous Thermostatically Controlled Loads for Demand Flexibility. CoRR (2020)
Yuan Chen, Soummya Kar, José M. F. Moura
Resilient Distributed Recovery of Large Fields. ICASSP (2020)
Ran Xin, Soummya Kar, Usman A. Khan
Gradient tracking and variance reduction for decentralized optimization and machine learning. CoRR (2020)
Ananth Narayan Samudrala, M. Hadi Amini, Soummya Kar, Rick S. Blum
Sensor Placement for Outage Identifiability in Power Distribution Networks. IEEE Trans. Smart Grid 11 (3) (2020)
Ananth Narayan Samudrala, M. Hadi Amini, Soummya Kar, Rick S. Blum
Distributed Outage Detection in Power Distribution Networks. IEEE Trans. Smart Grid 11 (6) (2020)
Ran Xin, Usman A. Khan, Soummya Kar
A near-optimal stochastic gradient method for decentralized non-convex finite-sum optimization. CoRR (2020)
Brian Swenson, Ryan W. Murray, Soummya Kar
Regular potential games. Games Econ. Behav. 124 (2020)
Ran Xin, Usman A. Khan, Soummya Kar
An improved convergence analysis for decentralized online stochastic non-convex optimization. CoRR (2020)
Ran Xin, Usman A. Khan, Soummya Kar
A fast randomized incremental gradient method for decentralized non-convex optimization. CoRR (2020)
Ran Xin, Usman A. Khan, Soummya Kar
Variance-Reduced Decentralized Stochastic Optimization With Accelerated Convergence. IEEE Trans. Signal Process. 68 (2020)
Brian Swenson, Ryan W. Murray, H. Vincent Poor, Soummya Kar
Distributed Gradient Flow: Nonsmoothness, Nonconvexity, and Saddle Point Evasion. CoRR (2020)
Ran Xin, Boyue Li, Soummya Kar, Usman A. Khan
GT-SAGA: A fast incremental gradient method for decentralized finite-sum minimization. CDC (2020)
Ran Xin, Soummya Kar, Usman A. Khan
Decentralized Stochastic Optimization and Machine Learning: A Unified Variance-Reduction Framework for Robust Performance and Fast Convergence. IEEE Signal Process. Mag. 37 (3) (2020)
Muhammad I. Qureshi, Ran Xin, Soummya Kar, Usman A. Khan
S-ADDOPT: Decentralized stochastic first-order optimization over directed graphs. CoRR (2020)
Guannan He, Jeremy Michalek, Soummya Kar, Qixin Chen, Da Zhang, Jay F. Whitacre
The economics of utility-scale portable energy storage systems in a high-renewable grid. CoRR (2020)
Shimiao Li, Amritanshu Pandey, Soummya Kar, Larry T. Pileggi
A Circuit-Theoretic Approach to State Estimation. ISGT-Europe (2020)
Jianyu Wang, Anit Kumar Sahu, Gauri Joshi, Soummya Kar
Exploring the Error-Runtime Trade-off in Decentralized Optimization. ACSSC (2020)
Ananth Narayan Samudrala, M. Hadi Amini, Soummya Kar, Rick S. Blum
Sensor Placement for Outage Identifiability in Power Distribution Networks. CoRR (2019)
Yaoqing Yang, Matteo Interlandi, Pulkit Grover, Soummya Kar, Saeed Amizadeh, Markus Weimer
Coded Elastic Computing. ISIT (2019)
Brian Swenson, Soummya Kar, H. Vincent Poor, José M. F. Moura
Distributed Global Optimization by Annealing. CAMSAP (2019)
Brian Swenson, Soummya Kar, H. Vincent Poor, José M. F. Moura
Annealing for Distributed Global Optimization. CDC (2019)
Yuan Chen, Soummya Kar, José M. F. Moura
Resilient Distributed Estimation: Sensor Attacks. IEEE Trans. Autom. Control. 64 (9) (2019)
Brian Swenson, Soummya Kar, H. Vincent Poor, José M. F. Moura
Distributed Global Optimization by Annealing. CoRR (2019)
Irfan Khan, Yinliang Xu, Soummya Kar, Mo-Yuen Chow, Vikram Bhattacharjee
Compressive Sensing and Morphology Singular Entropy-Based Real-Time Secondary Voltage Control of Multiarea Power Systems. IEEE Trans. Ind. Informatics 15 (7) (2019)
Ryan W. Murray, Brian Swenson, Soummya Kar
Revisiting Normalized Gradient Descent: Fast Evasion of Saddle Points. IEEE Trans. Autom. Control. 64 (11) (2019)
Anit Kumar Sahu, Manzil Zaheer, Soummya Kar
Towards Gradient Free and Projection Free Stochastic Optimization. AISTATS (2019)
Soummya Kar, Brian Swenson
Clustering with Distributed Data. CoRR (2019)
Jianyu Wang, Anit Kumar Sahu, Zhouyi Yang, Gauri Joshi, Soummya Kar
MATCHA: Speeding Up Decentralized SGD via Matching Decomposition Sampling. CoRR (2019)
Carmel Fiscko, Soummya Kar, Bruno Sinopoli
Learning Transition Statistics in Networks of Interacting Agents. Allerton (2019)
Ran Xin, Usman A. Khan, Soummya Kar
Variance-Reduced Decentralized Stochastic Optimization with Accelerated Convergence. CoRR (2019)
Ananth Narayan Samudrala, M. Hadi Amini, Soummya Kar, Rick S. Blum
Optimal Sensor Placement for Topology Identification in Smart Power Grids. CISS (2019)
Yuan Chen, Soummya Kar, José M. F. Moura
Secure Analytics and Resilient Inference for the Internet of Things. ICASSP (2019)
Ran Xin, Usman A. Khan, Soummya Kar
Variance-Reduced Decentralized Stochastic Optimization with Gradient Tracking - Part II: GT-SVRG. CoRR (2019)
Nipun Popli, Sérgio Pequito, Soummya Kar, A. Pedro Aguiar, Marija Ilic
Corrigendum to "Selective strong structural minimum-cost resilient co-design for regular descriptor linear systems" [Automatica 102 (2019) 80-85]. Autom. 107 (2019)
Brian Swenson, Ryan W. Murray, H. Vincent Poor, Soummya Kar
Distributed Gradient Descent: Nonconvergence to Saddle Points and the Stable-Manifold Theorem. CoRR (2019)
Shimiao Li, Amritanshu Pandey, Soummya Kar, Larry T. Pileggi
A Circuit-Theoretic Approach to State Estimation. CoRR (2019)
Nipun Popli, Sérgio Pequito, Soummya Kar, A. Pedro Aguiar, Marija Ilic
Selective strong structural minimum-cost resilient co-design for regular descriptor linear systems. Autom. 102 (2019)
Anit Kumar Sahu, Dusan Jakovetic, Dragana Bajovic, Soummya Kar
Communication Efficient Distributed Estimation Over Directed Random Graphs. EUROCON (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Soummya Kar