Distributed Parameter Estimation in Sensor Networks: Nonlinear Observation Models and Imperfect Communication

29 August 2008

Papers citing "Distributed Parameter Estimation in Sensor Networks: Nonlinear Observation Models and Imperfect Communication"

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Title
Nonlinear Perturbation-based Non-Convex Optimization over Time-Varying Networks Mohammadreza Doostmohammadian Zulfiya R. Gabidullina Hamid R. Rabiee 45 7 0 05 Aug 2024
Non-Bayesian Social Learning with Multiview Observations Dongyan Sui Weichen Cao Stefan Vlaski Chun Guan Siyang Leng 28 0 0 30 Jul 2024
Privacy Preserving Semi-Decentralized Mean Estimation over Intermittently-Connected Networks R. Saha Mohamed Seif M. Yemini Andrea J. Goldsmith H. Vincent Poor FedML 45 2 0 06 Jun 2024
The Effectiveness of Local Updates for Decentralized Learning under Data Heterogeneity Tongle Wu Ying Sun 44 0 0 23 Mar 2024
Peer-to-Peer Deep Learning for Beyond-5G IoT Srinivasa Pranav José M. F. Moura 22 3 0 29 Oct 2023
Over-the-Air Federated Learning and Optimization Jingyang Zhu Yuanming Shi Yong Zhou Chunxiao Jiang Wei Chen Khaled B. Letaief FedML 23 11 0 16 Oct 2023
On Collaboration in Distributed Parameter Estimation with Resource Constraints Y. Chen Daniel S. Menasché Don Towsley 52 0 0 12 Jul 2023
Fast and Robust State Estimation and Tracking via Hierarchical Learning Connor Mclaughlin Matthew Ding Deniz Edogmus Lili Su 19 0 0 29 Jun 2023
Differentially Private Distributed Estimation and Learning Marios Papachristou M. Amin Rahimian FedML 15 2 0 28 Jun 2023
Decentralized Adversarial Training over Graphs Ying Cao Elsa Rizk Stefan Vlaski Ali H. Sayed AAML 43 1 0 23 Mar 2023
Collaborative Mean Estimation over Intermittently Connected Networks with Peer-To-Peer Privacy R. Saha Mohamed Seif M. Yemini Andrea J. Goldsmith H. Vincent Poor FedML 32 2 0 28 Feb 2023
Secure Distributed Optimization Under Gradient Attacks Shuhua Yu S. Kar 32 14 0 28 Oct 2022
Networked Signal and Information Processing Stefan Vlaski S. Kar Ali H. Sayed José M. F. Moura 49 16 0 25 Oct 2022
Double Averaging and Gradient Projection: Convergence Guarantees for Decentralized Constrained Optimization Firooz Shahriari-Mehr Ashkan Panahi 17 1 0 06 Oct 2022
A One-shot Framework for Distributed Clustered Learning in Heterogeneous Environments Aleksandar Armacki Dragana Bajović D. Jakovetić S. Kar FedML 44 5 0 22 Sep 2022
Finite Sample Guarantees for Distributed Online Parameter Estimation with Communication Costs Lei Xin G. Chiu S. Sundaram 11 0 0 12 Sep 2022
A Dual Accelerated Method for Online Stochastic Distributed Averaging: From Consensus to Decentralized Policy Evaluation Sheng Zhang A. Pananjady Justin Romberg OffRL 17 4 0 23 Jul 2022
Decentralized Online Regularized Learning Over Random Time-Varying Graphs Xiwei Zhang Tao Li Xiaozheng Fu 71 1 0 07 Jun 2022
A Survey of Graph-Theoretic Approaches for Analyzing the Resilience of Networked Control Systems Mohammad Pirani A. Mitra S. Sundaram AI4CE 34 8 0 25 May 2022
An alternative approach for distributed parameter estimation under Gaussian settings Subhro Das 31 0 0 14 Apr 2022
Nonlinear gradient mappings and stochastic optimization: A general framework with applications to heavy-tail noise D. Jakovetić Dragana Bajović Anit Kumar Sahu S. Kar Nemanja Milošević Dusan Stamenkovic 19 12 0 06 Apr 2022
Social Opinion Formation and Decision Making Under Communication Trends Mert Kayaalp Virginia Bordignon Ali H. Sayed 21 2 0 04 Mar 2022
Distributed saddle point problems for strongly concave-convex functions Muhammad I. Qureshi U. Khan 39 12 0 11 Feb 2022
Dynamic Median Consensus Over Random Networks Shuhua Yu Yuan Chen S. Kar 10 4 0 11 Oct 2021
Decentralized Constrained Optimization: Double Averaging and Gradient Projection Firooz Shahriari-Mehr David Bosch Ashkan Panahi 16 8 0 21 Jun 2021
A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization Ran Xin U. Khan S. Kar 20 39 0 12 Feb 2021
A fast randomized incremental gradient method for decentralized non-convex optimization Ran Xin U. Khan S. Kar 14 33 0 07 Nov 2020
DPCrowd: Privacy-preserving and Communication-efficient Decentralized Statistical Estimation for Real-time Crowd-sourced Data Xuebin Ren Chia-Mu Yu Wei Yu Xinyu Yang Jun Zhao Shusen Yang 20 6 0 29 Sep 2020
Sensor Fault Detection and Isolation via Networked Estimation: Full-Rank Dynamical Systems Mohammadreza Doostmohammadian N. Meskin 14 35 0 25 Sep 2020
A general framework for decentralized optimization with first-order methods Ran Xin Shi Pu Angelia Nedić U. Khan 17 87 0 12 Sep 2020
Push-SAGA: A decentralized stochastic algorithm with variance reduction over directed graphs Muhammad I. Qureshi Ran Xin S. Kar U. Khan 16 20 0 13 Aug 2020
ALADIN- $α$ -- An open-source MATLAB toolbox for distributed non-convex optimization Alexander Engelmann Yuning Jiang Henrieke Benner Ruchuan Ou B. Houska T. Faulwasser 13 21 0 02 Jun 2020
On Distributed Non-convex Optimization: Projected Subgradient Method For Weakly Convex Problems in Networks Shixiang Chen Alfredo García Shahin Shahrampour 14 5 0 28 Apr 2020
A Private and Finite-Time Algorithm for Solving a Distributed System of Linear Equations Shripad Gade Ji Liu Nitin H. Vaidya FedML 8 1 0 09 Apr 2020
Distributed Learning in the Non-Convex World: From Batch to Streaming Data, and Beyond Tsung-Hui Chang Mingyi Hong Hoi-To Wai Xinwei Zhang Songtao Lu GNN 20 13 0 14 Jan 2020
Variance-Reduced Decentralized Stochastic Optimization with Gradient Tracking -- Part II: GT-SVRG Ran Xin U. Khan S. Kar 14 8 0 08 Oct 2019
Distributed Parameter Estimation in Randomized One-hidden-layer Neural Networks Yinsong Wang Shahin Shahrampour FedML 8 1 0 20 Sep 2019
Non-Bayesian Social Learning with Uncertain Models James Z. Hare César A. Uribe Lance M. Kaplan Ali Jadbabaie 32 25 0 09 Sep 2019
Decentralized Cooperative Online Estimation With Random Observation Matrices, Communication Graphs and Time Delays Jiexiang Wang Tao Li Xiwei Zhang 16 2 0 22 Aug 2019
Distributed Gradient Descent: Nonconvergence to Saddle Points and the Stable-Manifold Theorem Brian Swenson Ryan W. Murray H. Vincent Poor S. Kar 26 14 0 07 Aug 2019
Distributed Global Optimization by Annealing Brian Swenson S. Kar H. Vincent Poor José M. F. Moura 14 3 0 20 Jul 2019
MATCHA: Speeding Up Decentralized SGD via Matching Decomposition Sampling Jianyu Wang Anit Kumar Sahu Zhouyi Yang Gauri Joshi S. Kar 29 159 0 23 May 2019
Annealing for Distributed Global Optimization Brian Swenson S. Kar H. Vincent Poor J. M. F. Moura 25 30 0 18 Mar 2019
Clustering with Distributed Data S. Kar Brian Swenson 12 8 0 01 Jan 2019
Distributed Learning of Average Belief Over Networks Using Sequential Observations Kaipeng Zhang Yang Liu Ji Liu M. Liu Tamer Basar FedML 19 15 0 19 Nov 2018
Consensus-based Distributed Quantile Estimation in Sensor Networks Jongmin Lee C. Tepedelenlioğlu A. Spanias 14 1 0 01 May 2018
$$\mathcal{CIRFE}$: A Distributed Random Fields Estimator$ $\mathcal{CIRFE}$ : A Distributed Random Fields Estimator Anit Kumar Sahu D. Jakovetić S. Kar 19 17 0 14 Feb 2018
Communication Optimality Trade-offs For Distributed Estimation Anit Kumar Sahu D. Jakovetić S. Kar 16 10 0 12 Jan 2018
A Distributed Algorithm for Least Square Solutions of Linear Equations Xuan Wang Jingqiu Zhou Shaoshuai Mou M. Corless 23 4 0 28 Sep 2017
Network Topology and Communication-Computation Tradeoffs in Decentralized Optimization A. Nedić Alexander Olshevsky Michael G. Rabbat 11 504 0 26 Sep 2017