2373-776X
Volume 6, 2020
A Computation-Efficient Decentralized Algorithm for Composite Constrained Optimization.

Qingguo Lü Xiaofeng Liao Huaqing Li Tingwen Huang

Joint Forecasting and Interpolation of Time-Varying Graph Signals Using Deep Learning.

Gabriela Lewenfus Wallace A. Martins Symeon Chatzinotas Björn E. Ottersten

Bandwidth-Constrained Decentralized Detection of an Unknown Vector Signal via Multisensor Fusion.

Domenico Ciuonzo S. Hamed Javadi Abdolreza Mohammadi Pierluigi Salvo Rossi

Distributed State Estimation Under Random Parameters and Dynamic Quantizations Over Sensor Networks: A Dynamic Event-Based Approach.

Shaoying Wang Zidong Wang Hongli Dong Yun Chen

Convex Combination of Diffusion Strategies Over Networks.

Danqi Jin Jie Chen Cédric Richard Jingdong Chen Ali H. Sayed

Graph Learning for Spatiotemporal Signals With Long- and Short-Term Characterization.

Yueliang Liu Wenbin Guo Kangyong You Lei Zhao Tao Peng Wenbo Wang

Multi-Slot Distributed Measurement Selection: A Sparsity Learning Approach.

Qian Xia Wei Wang Rong Ran Yi Gong Zhaoyang Zhang

Massively Distributed Graph Distances.

Armin Moharrer Jasmin Gao Shikun Wang José Bento Stratis Ioannidis

Ambient Noise Tomography With Common Receiver Clusters in Distributed Sensor Networks.

Sili Wang Fangyu Li Mark Panning Saikiran Tharimena Steve Vance WenZhan Song

Fast-and-Secure State-Estimation in Dynamic-Control Over Communication Channels: A Game-Theoretical Viewpoint.

Makan Zamanipour

On Inference of Network Topology and Confirmation Bias in Cyber-Social Networks.

Yanbing Mao Emrah Akyol

Sensor Selection and Design for Binary Hypothesis Testing in the Presence of a Cost Constraint.

Berkay Oymak Berkan Dulek Sinan Gezici

Gaussian Mixture Particle Jump-Markov-CPHD Fusion for Multitarget Tracking Using Sensors With Limited Views.

Kai Da Tiancheng Li Yongfeng Zhu Qiang Fu

Extended Adjacency and Scale-Dependent Graph Fourier Transform via Diffusion Distances.

Vitor Rosa Meireles Elias Wallace A. Martins Stefan Werner

Simultaneous Detection of Multiple Change Points and Community Structures in Time Series of Networks.

Rex C. Y. Cheung Alexander Aue Seungyong Hwang Thomas C. M. Lee

Interval Observer Design Under Stealthy Attacks and Improved Event-Triggered Protocols.

Xin Li Guoliang Wei Derui Ding

Lower Bound Accuracy of Bearing-Based Localization for Wireless Sensor Networks.

Wenjing Zhong Xiaoyuan Luo Xiaolei Li Jing Yan Xinping Guan

Recovery of Time-Varying Graph Signals via Distributed Algorithms on Regularized Problems.

Junzheng Jiang David B. H. Tay Qiyu Sun Shan Ouyang

Bearing Rigidity-Based Localizability Analysis for Wireless Sensor Networks.

Xiaoyuan Luo Wenjing Zhong Xiaolei Li Xinping Guan

TACC: Topology-Aware Coded Computing for Distributed Graph Processing.

Basak Güler Amir Salman Avestimehr Antonio Ortega

Scalable Data Association for Extended Object Tracking.

Florian Meyer Moe Z. Win

Exploiting the Agent's Memory in Asymptotic and Finite-Time Consensus Over Multi-Agent Networks.

Gianni Pasolini Davide Dardari Michel Kieffer

Proof of the Equivalency of MSE-Constrained and Rate-Constrained Power Optimization Approaches to Distributed Bi-Directional Beamforming.

Razgar Rahimi Shahram ShahbazPanahi Björn E. Ottersten

On Distributed Estimation in Hierarchical Power Constrained Wireless Sensor Networks.

Mojtaba Shirazi Azadeh Vosoughi

Collaborative Multi-Sensing in Energy Harvesting Wireless Sensor Networks.

Vini Gupta Swades De

Precoder Feedback Schemes for Robust Interference Alignment With Bounded CSI Uncertainty.

Navneet Garg Aditya K. Jagannatham Govind Sharma Tharmalingam Ratnarajah

Mask Combination of Multi-Layer Graphs for Global Structure Inference.

Eda Bayram Dorina Thanou Elif Vural Pascal Frossard

Energy Efficient Spectrum Allocation and Mode Selection for D2D Communications in Heterogeneous Networks.

Apostolos Galanopoulos Fotis Foukalas Tamer Khattab

Bayesian Inference of Network Structure From Information Cascades.

Caitlin Gray Lewis Mitchell Matthew Roughan

Clustering-Aware Graph Construction: A Joint Learning Perspective.

Yuheng Jia Hui Liu Junhui Hou Sam Kwong

Dynamic Computation Offloading in Multi-Access Edge Computing via Ultra-Reliable and Low-Latency Communications.

Mattia Merluzzi Paolo Di Lorenzo Sergio Barbarossa Valerio Frascolla

Edge Caching in Multi-UAV-Enabled Radio Access Networks: 3D Modeling and Spectral Efficiency Optimization.

Fasheng Zhou Ning Wang Gaoyong Luo Lisheng Fan Wei Chen

Multiplex Network Inference With Sparse Tensor Decomposition for Functional Connectivity.

Gaëtan Frusque Julien Jung Pierre Borgnat Paulo Gonçalves

Network Inference From Consensus Dynamics With Unknown Parameters.

Yu Zhu Michael T. Schaub Ali Jadbabaie Santiago Segarra

Multimodal Dynamic Brain Connectivity Analysis Based on Graph Signal Processing for Former Athletes With History of Multiple Concussions.

Saurabh Sihag Sébastien Naze Foad Taghdiri Charles Tator Richard Wennberg David J. Mikulis Robin Green Brenda Colella Maria Carmela Tartaglia James R. Kozloski

Topology Identification of Directed Graphs via Joint Diagonalization of Correlation Matrices.

Yanning Shen Xiao Fu Georgios B. Giannakis Nicholas D. Sidiropoulos

Graph Laplacian Mixture Model.

Hermina Petric Maretic Pascal Frossard

Incremental Coding for Extractable Compression in the Context of Massive Random Access.

Thomas Maugey Aline Roumy Elsa Dupraz Michel Kieffer

Distributed Sensor Networks Based Shallow Subsurface Imaging and Infrastructure Monitoring.

Fangyu Li Maria Valero Yifang Cheng Tong Bai WenZhan Song

Spectral Graph Based Vertex-Frequency Wiener Filtering for Image and Graph Signal Denoising.

Ali Can Yagan Mehmet Tankut Özgen

State-Space Network Topology Identification From Partial Observations.

Mario Coutino Elvin Isufi Takanori Maehara Geert Leus

Distributed Discrete Hashing by Equivalent Continuous Formulation.

Shengnan Wang Chunguang Li Hui-Liang Shen

Distributed Learning Algorithms for Optimal Data Routing in IoT Networks.

Michele Rossi Marco Centenaro Aly Ba Salma Eleuch Tomaso Erseghe Michele Zorzi

Learning Graphs From Linear Measurements: Fundamental Trade-Offs and Applications.

Tongxin Li Lucien Werner Steven H. Low

OrthoNet: Multilayer Network Data Clustering.

Mireille El Gheche Giovanni Chierchia Pascal Frossard

Computation-Efficient Distributed Algorithm for Convex Optimization Over Time-Varying Networks With Limited Bandwidth Communication.

Huaqing Li Chicheng Huang Zheng Wang Guo Chen Hafiz Gulfam Ahmad Umar

Recovering the Structural Observability of Composite Networks via Cartesian Product.

Mohammadreza Doostmohammadian

Node-Centric Graph Learning From Data for Brain State Identification.

Nafiseh Ghoroghchian David M. Groppe Roman Genov Taufik A. Valiante Stark C. Draper

Efficient Graph Learning From Noisy and Incomplete Data.

Peter Berger Gabor Hannak Gerald Matz

Fastest Mixing Reversible Markov Chain: Clique Lifted Graphs and Subgraphs.

Saber Jafarizadeh

Minimal Sufficient Conditions for Structural Observability/Controllability of Composite Networks via Kronecker Product.

Mohammadreza Doostmohammadian Usman A. Khan

Online Distributed Learning Over Graphs With Multitask Graph-Filter Models.

Fei Hua Roula Nassif Cédric Richard Haiyan Wang Ali H. Sayed

Vector-Valued Graph Trend Filtering With Non-Convex Penalties.

Rohan Varma Harlin Lee Jelena Kovacevic Yuejie Chi

Optimized Transmission for Parameter Estimation in Wireless Sensor Networks.

Shahin Khobahi Mojtaba Soltanalian Feng Jiang A. Lee Swindlehurst

Communication-Censored Linearized ADMM for Decentralized Consensus Optimization.

Weiyu Li Yaohua Liu Zhi Tian Qing Ling

Resilient Distributed Diffusion in Networks With Adversaries.

Jiani Li Waseem Abbas Xenofon D. Koutsoukos