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ORCIDSoummya Kar
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- affiliation: Carnegie Mellon University, Pittsburgh, USA
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2020 – today
- 2024
[j90]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): 376-399 (2024)- [j89]Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar:
A One-Shot Framework for Distributed Clustered Learning in Heterogeneous Environments. IEEE Trans. Signal Process. 72: 636-651 (2024) - [c138]Roula Nassif, Soummya Kar, Stefan Vlaski:
Learning Dynamics of Low-Precision Clipped SGD with Momentum. ICASSP 2024: 6075-6079 - [i112]Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar:
A Unified Framework for Gradient-based Clustering of Distributed Data. CoRR abs/2402.01302 (2024) - [i111]Ritabrata Ray, Yorie Nakahira, Soummya Kar:
Sample-Optimal Zero-Violation Safety For Continuous Control. CoRR abs/2403.06045 (2024) - [i110]Cláudio Gomes, João Paulo Fernandes, Gabriel Falcão, Soummya Kar, Sridhar Tayur:
Vehicle-to-Vehicle Charging: Model, Complexity, and Heuristics. CoRR abs/2404.08837 (2024) - 2023
- [j88]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): 1582-1609 (2023) - [j87]Anirudh Sridhar, Soummya Kar:
Mean-Field Approximations for Stochastic Population Processes with Heterogeneous Interactions. SIAM J. Control. Optim. 61(6): 3442-3466 (2023) - [j86]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): 394-423 (2023) - [j85]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): 92-105 (2023) - [j84]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: 1319-1333 (2023) - [j83]Shuhua Yu, Soummya Kar:
Secure Distributed Optimization Under Gradient Attacks. IEEE Trans. Signal Process. 71: 1802-1816 (2023) - [c137]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: 1595-1599 - [c136]Dragana Bajovic, Dusan Jakovetic, Soummya Kar:
Large deviations rates for stochastic gradient descent with strongly convex functions. AISTATS 2023: 10095-10111 - [c135]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: 7970-7975 - [c134]Aleksandar Armacki, Nemanja Milosevic, Dragana Bajovic, Soummya Kar, Dusan Jakovetic, Arian Bakhtiarnia, Lukas Esterle, Adrian Muscat, Thomas Festi:
Communication Efficient Model-Aware Federated Learning for Visual Crowd Counting and Density Estimation in Smart Cities. EUSIPCO 2023: 875-879 - [i109]Carmel Fiscko, Soummya Kar, Bruno Sinopoli:
Corrected: On Confident Policy Evaluation for Factored Markov Decision Processes with Node Dropouts. CoRR abs/2302.02297 (2023) - [i108]Carmel Fiscko, Soummya Kar, Bruno Sinopoli:
Model-Free Learning and Optimal Policy Design in Multi-Agent MDPs Under Probabilistic Agent Dropout. CoRR abs/2304.12458 (2023) - [i107]Aayushya Agarwal, Carmel Fiscko, Soummya Kar, Larry T. Pileggi, Bruno Sinopoli:
An Equivalent Circuit Workflow for Unconstrained Optimization. CoRR abs/2305.14061 (2023) - [i106]Carmel Fiscko, Aayushya Agarwal, Yihan Ruan, Soummya Kar, Larry T. Pileggi, Bruno Sinopoli:
Towards Hyperparameter-Agnostic DNN Training via Dynamical System Insights. CoRR abs/2310.13901 (2023) - [i105]Shuhua Yu, Dusan Jakovetic, Soummya Kar:
Smoothed Gradient Clipping and Error Feedback for Distributed Optimization under Heavy-Tailed Noise. CoRR abs/2310.16920 (2023) - [i104]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 abs/2310.18784 (2023) - 2022
- [j82]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: 1202-1207 (2022) - [j81]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: 328:1-328:62 (2022) - [j80]Ran Xin, Usman A. Khan, Soummya Kar:
Fast Decentralized Nonconvex Finite-Sum Optimization with Recursive Variance Reduction. SIAM J. Optim. 32(1): 1-28 (2022) - [j79]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): 3949-3964 (2022) - [j78]Ran Xin, Usman A. Khan, Soummya Kar:
A Fast Randomized Incremental Gradient Method for Decentralized Nonconvex Optimization. IEEE Trans. Autom. Control. 67(10): 5150-5165 (2022) - [j77]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: 5208-5221 (2022) - [c133]Carmel Fiscko, Soummya Kar, Bruno Sinopoli:
Identifying Impactful Agents Via Faux Adversarial Games. Allerton 2022: 1-7 - [c132]Carmel Fiscko, Soummya Kar, Bruno Sinopoli:
On Confident Policy Evaluation for Factored Markov Decision Processes with Node Dropouts. CDC 2022: 2857-2863 - [c131]Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar:
Gradient Based Clustering. ICML 2022: 929-947 - [c130]Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar:
Personalized Federated Learning via Convex Clustering. ISC2 2022: 1-7 - [i103]Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar:
Personalized Federated Learning via Convex Clustering. CoRR abs/2202.00718 (2022) - [i102]Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar:
Gradient Based Clustering. CoRR abs/2202.00720 (2022) - [i101]Muhammad I. Qureshi, Ran Xin, Soummya Kar, Usman A. Khan:
Variance reduced stochastic optimization over directed graphs with row and column stochastic weights. CoRR abs/2202.03346 (2022) - [i100]Meiyi Li, Javad Mohammadi, Soummya Kar:
A Fully Decentralized Tuning-free Inexact Projection Method for P2P Energy Trading. CoRR abs/2202.06106 (2022) - [i99]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 abs/2204.02593 (2022) - [i98]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 abs/2207.05216 (2022) - [i97]Carmel Fiscko, Soummya Kar, Bruno Sinopoli:
Cluster-Based Control of Transition-Independent MDPs. CoRR abs/2207.05224 (2022) - [i96]Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar:
One-Shot Federated Learning for Model Clustering and Learning in Heterogeneous Environments. CoRR abs/2209.10866 (2022) - [i95]Stefan Vlaski, Soummya Kar, Ali H. Sayed, José M. F. Moura:
Networked Signal and Information Processing. CoRR abs/2210.13767 (2022) - [i94]Shuhua Yu, Soummya Kar:
Secure Distributed Optimization Under Gradient Attacks. CoRR abs/2210.15821 (2022) - [i93]Dragana Bajovic, Dusan Jakovetic, Soummya Kar:
Large deviations rates for stochastic gradient descent with strongly convex functions. CoRR abs/2211.00969 (2022) - [i92]Aayushya Agarwal, Carmel Fiscko, Soummya Kar, Larry T. Pileggi, Bruno Sinopoli:
ECCO: Equivalent Circuit Controlled Optimization. CoRR abs/2211.08478 (2022) - [i91]Manojlo Vukovic, Dusan Jakovetic, Dragana Bajovic, Soummya Kar:
Nonlinear consensus+innovations under correlated heavy-tailed noises: Mean square convergence rate and asymptotics. CoRR abs/2212.11959 (2022) - 2021
- [j76]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): 953-958 (2021) - [j75]Ran Xin, Usman A. Khan, Soummya Kar:
An Improved Convergence Analysis for Decentralized Online Stochastic Non-Convex Optimization. IEEE Trans. Signal Process. 69: 1842-1858 (2021) - [c129]Shuhua Yu, Yuan Chen, Soummya Kar:
Resilient decentralized optimization in multi-agent networks with data injection attack. ACSCC 2021: 1032-1036 - [c128]Carmel Fiscko, Soummya Kar, Bruno Sinopoli:
Efficient Solutions for Targeted Control of Multi-Agent MDPs. ACC 2021: 690-696 - [c127]Shuhua Yu, Yuan Chen, Soummya Kar:
Dynamic Median Consensus Over Random Networks. CDC 2021: 5695-5702 - [c126]Muhammad I. Qureshi, Ran Xin, Soummya Kar, Usman A. Khan:
A Decentralized Variance-Reduced Method for Stochastic Optimization Over Directed Graphs. ICASSP 2021: 5030-5034 - [c125]Ran Xin, Usman A. Khan, Soummya Kar:
A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization. ICML 2021: 11459-11469 - [i90]Anirudh Sridhar, Soummya Kar:
Mean-field Approximation for Stochastic Population Processes in Networks under Imperfect Information. CoRR abs/2101.09644 (2021) - [i89]Ran Xin, Usman A. Khan, Soummya Kar:
A hybrid variance-reduced method for decentralized stochastic non-convex optimization. CoRR abs/2102.06752 (2021) - [i88]Anirudh Sridhar, Soummya Kar:
On the Accuracy of Deterministic Models for Viral Spread on Networks. CoRR abs/2104.04913 (2021) - [i87]Shuhua Yu, Yuan Chen, Soummya Kar:
Dynamic Median Consensus Over Random Networks. CoRR abs/2110.05317 (2021) - [i86]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 abs/2112.09914 (2021) - 2020
- [j74]Brian Swenson, Ryan W. Murray, Soummya Kar:
Regular potential games. Games Econ. Behav. 124: 432-453 (2020) - [j73]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): 1890-1905 (2020) - [j72]Yuan Chen, Soummya Kar, José M. F. Moura:
Resilient Distributed Field Estimation. SIAM J. Control. Optim. 58(3): 1429-1456 (2020) - [j71]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): 102-113 (2020) - [j70]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): 1996-2013 (2020) - [j69]Ananth Narayan Samudrala, M. Hadi Amini, Soummya Kar, Rick S. Blum:
Distributed Outage Detection in Power Distribution Networks. IEEE Trans. Smart Grid 11(6): 5124-5137 (2020) - [j68]Ran Xin, Usman A. Khan, Soummya Kar:
Variance-Reduced Decentralized Stochastic Optimization With Accelerated Convergence. IEEE Trans. Signal Process. 68: 6255-6271 (2020) - [c124]Soummya Kar, Markus Püschel, José M. F. Moura:
Finite-Time In-Network Computation of Linear Transforms. ACSSC 2020: 455-459 - [c123]Jianyu Wang, Anit Kumar Sahu, Gauri Joshi, Soummya Kar:
Exploring the Error-Runtime Trade-off in Decentralized Optimization. ACSSC 2020: 910-914 - [c122]Ran Xin, Boyue Li, Soummya Kar, Usman A. Khan:
GT-SAGA: A fast incremental gradient method for decentralized finite-sum minimization. CDC 2020: 3637-3642 - [c121]Yuan Chen, Soummya Kar, José M. F. Moura:
Resilient Distributed Recovery of Large Fields. ICASSP 2020: 4292-4296 - [c120]Shimiao Li, Amritanshu Pandey, Soummya Kar, Larry T. Pileggi:
A Circuit-Theoretic Approach to State Estimation. ISGT-Europe 2020: 1126-1130 - [c119]Bingqing Chen, Jonathan Francis, Marco Pritoni, Soummya Kar, Mario Bergés:
COHORT: Coordination of Heterogeneous Thermostatically Controlled Loads for Demand Flexibility. BuildSys@SenSys 2020: 31-40 - [i85]Ran Xin, Soummya Kar, Usman A. Khan:
Gradient tracking and variance reduction for decentralized optimization and machine learning. CoRR abs/2002.05373 (2020) - [i84]Muhammad I. Qureshi, Ran Xin, Soummya Kar, Usman A. Khan:
S-ADDOPT: Decentralized stochastic first-order optimization over directed graphs. CoRR abs/2005.07785 (2020) - [i83]Ran Xin, Usman A. Khan, Soummya Kar:
An improved convergence analysis for decentralized online stochastic non-convex optimization. CoRR abs/2008.04195 (2020) - [i82]Brian Swenson, Ryan W. Murray, H. Vincent Poor, Soummya Kar:
Distributed Gradient Flow: Nonsmoothness, Nonconvexity, and Saddle Point Evasion. CoRR abs/2008.05387 (2020) - [i81]Muhammad I. Qureshi, Ran Xin, Soummya Kar, Usman A. Khan:
Push-SAGA: A decentralized stochastic algorithm with variance reduction over directed graphs. CoRR abs/2008.06082 (2020) - [i80]Ran Xin, Usman A. Khan, Soummya Kar:
A near-optimal stochastic gradient method for decentralized non-convex finite-sum optimization. CoRR abs/2008.07428 (2020) - [i79]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 abs/2008.07635 (2020) - [i78]Bingqing Chen, Jonathan Francis, Marco Pritoni, Soummya Kar, Mario Bergés:
COHORT: Coordination of Heterogeneous Thermostatically Controlled Loads for Demand Flexibility. CoRR abs/2010.03659 (2020) - [i77]Ran Xin, Usman A. Khan, Soummya Kar:
A fast randomized incremental gradient method for decentralized non-convex optimization. CoRR abs/2011.03853 (2020) - [i76]Henning Lange, Bingqing Chen, Mario Berges, Soummya Kar:
Learning to Solve AC Optimal Power Flow by Differentiating through Holomorphic Embeddings. CoRR abs/2012.09622 (2020)
2010 – 2019
- 2019
- [j67]M. Hadi Amini, Javad Mohammadi, Soummya Kar:
Distributed Holistic Framework for Smart City Infrastructures: Tale of Interdependent Electrified Transportation Network and Power Grid. IEEE Access 7: 157535-157554 (2019) - [j66]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: 80-85 (2019) - [j65]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: 612 (2019) - [j64]Yuan Chen, Soummya Kar, José M. F. Moura:
Resilient Distributed Estimation: Sensor Attacks. IEEE Trans. Autom. Control. 64(9): 3772-3779 (2019) - [j63]Ryan W. Murray, Brian Swenson, Soummya Kar:
Revisiting Normalized Gradient Descent: Fast Evasion of Saddle Points. IEEE Trans. Autom. Control. 64(11): 4818-4824 (2019) - [j62]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): 3796-3807 (2019) - [j61]Yuan Chen, Soummya Kar, José M. F. Moura:
Resilient Distributed Parameter Estimation With Heterogeneous Data. IEEE Trans. Signal Process. 67(19): 4918-4933 (2019) - [c118]Ran Xin, Anit Kumar Sahu, Soummya Kar, Usman A. Khan:
Distributed empirical risk minimization over directed graphs. ACSSC 2019: 189-193 - [c117]Anit Kumar Sahu, Manzil Zaheer, Soummya Kar:
Towards Gradient Free and Projection Free Stochastic Optimization. AISTATS 2019: 3468-3477 - [c116]Carmel Fiscko, Soummya Kar, Bruno Sinopoli:
Learning Transition Statistics in Networks of Interacting Agents. Allerton 2019: 439-445 - [c115]Brian Swenson, Ryan W. Murray, H. Vincent Poor, Soummya Kar:
Distributed Gradient Descent: Nonconvergence to Saddle Points and the Stable-Manifold Theorem. Allerton 2019: 595-601 - [c114]Brian Swenson, Soummya Kar, H. Vincent Poor, José M. F. Moura:
Distributed Global Optimization by Annealing. CAMSAP 2019: 181-185 - [c113]Brian Swenson, Soummya Kar, H. Vincent Poor, José M. F. Moura:
Annealing for Distributed Global Optimization. CDC 2019: 3018-3025 - [c112]Ran Xin, Anit Kumar Sahu, Usman A. Khan, Soummya Kar:
Distributed stochastic optimization with gradient tracking over strongly-connected networks. CDC 2019: 8353-8358 - [c111]Ananth Narayan Samudrala, M. Hadi Amini, Soummya Kar, Rick S. Blum:
Optimal Sensor Placement for Topology Identification in Smart Power Grids. CISS 2019: 1-6 - [c110]Carmel Fiscko, Brian Swenson, Soummya Kar, Bruno Sinopoli:
Control of Parametric Games. ECC 2019: 1036-1042 - [c109]Anit Kumar Sahu, Dusan Jakovetic, Dragana Bajovic, Soummya Kar:
Communication Efficient Distributed Estimation Over Directed Random Graphs. EUROCON 2019: 1-5 - [c108]Yuan Chen, Soummya Kar, José M. F. Moura:
Secure Analytics and Resilient Inference for the Internet of Things. ICASSP 2019: 8394-8398 - [c107]Yaoqing Yang, Matteo Interlandi, Pulkit Grover, Soummya Kar, Saeed Amizadeh, Markus Weimer:
Coded Elastic Computing. ISIT 2019: 2654-2658 - [c106]M. Hadi Amini, Javad Mohammadi, Soummya Kar:
Distributed Intelligent Algorithm for Interdependent Electrified Transportation and Power Networks. DIVANet 2019: 73-79 - [i75]Soummya Kar, Brian Swenson:
Clustering with Distributed Data. CoRR abs/1901.00214 (2019) - [i74]Ananth Narayan Samudrala, M. Hadi Amini, Soummya Kar, Rick S. Blum:
Optimal Sensor Placement for Topology Identification in Smart Power Grids. CoRR abs/1901.11104 (2019) - [i73]Ananth Narayan Samudrala, M. Hadi Amini, Soummya Kar, Rick S. Blum:
Sensor Placement for Outage Identifiability in Power Distribution Networks. CoRR abs/1902.06274 (2019) - [i72]Ran Xin, Anit Kumar Sahu, Usman A. Khan, Soummya Kar:
Distributed stochastic optimization with gradient tracking over strongly-connected networks. CoRR abs/1903.07266 (2019) - [i71]Jianyu Wang, Anit Kumar Sahu, Zhouyi Yang, Gauri Joshi, Soummya Kar:
MATCHA: Speeding Up Decentralized SGD via Matching Decomposition Sampling. CoRR abs/1905.09435 (2019) - [i70]Brian Swenson, Soummya Kar, H. Vincent Poor, José M. F. Moura:
Distributed Global Optimization by Annealing. CoRR abs/1907.08802 (2019) - [i69]Ran Xin, Soummya Kar, Usman A. Khan:
Decentralized Stochastic First-Order Methods for Large-scale Machine Learning. CoRR abs/1907.09648 (2019) - [i68]Brian Swenson, Ryan W. Murray, H. Vincent Poor, Soummya Kar:
Distributed Gradient Descent: Nonconvergence to Saddle Points and the Stable-Manifold Theorem. CoRR abs/1908.02747 (2019) - [i67]Ran Xin, Usman A. Khan, Soummya Kar:
Variance-Reduced Decentralized Stochastic Optimization with Gradient Tracking - Part II: GT-SVRG. CoRR abs/1910.04057 (2019) - [i66]Yuan Chen, Soummya Kar, José M. F. Moura:
Resilient Distributed Recovery of Large Fields. CoRR abs/1910.08841 (2019) - [i65]Shimiao Li, Amritanshu Pandey, Soummya Kar, Larry T. Pileggi:
A Circuit-Theoretic Approach to State Estimation. CoRR abs/1911.05155 (2019) - [i64]Ran Xin, Usman A. Khan, Soummya Kar:
Variance-Reduced Decentralized Stochastic Optimization with Accelerated Convergence. CoRR abs/1912.04230 (2019) - 2018
- [j60]Anit Kumar Sahu, Dusan Jakovetic, Dragana Bajovic, Soummya Kar:
Communication efficient distributed weighted non-linear least squares estimation. EURASIP J. Adv. Signal Process. 2018: 66 (2018) - [j59]Di Li, Soummya Kar, Shuguang Cui:
Distributed Quickest Detection in Sensor Networks via Two-Layer Large Deviation Analysis. IEEE Internet Things J. 5(2): 930-942 (2018) - [j58]Sam Safavi, Usman A. Khan, Soummya Kar, José M. F. Moura:
Distributed Localization: A Linear Theory. Proc. IEEE 106(7): 1204-1223 (2018) - [j57]