2373-776X
Volume 7, 2021
On the Exponential Approximation of Type II Error Probability of Distributed Test of Independence.

Sebastian Espinosa Jorge F. Silva Pablo Piantanida

Discrete-Time Periodic Event-Triggered Distributed Set-Membership Estimation Over Sensor Networks.

Yuhan Xie Sanbo Ding Xiangpeng Xie Yajuan Liu

Byzantine Resilient Non-Convex SCSG With Distributed Batch Gradient Computations.

Saikiran Bulusu Prashant Khanduri Swatantra Kafle Pranay Sharma Pramod K. Varshney

Multi-Bit & Sequential Decentralized Detection of a Noncooperative Moving Target Through a Generalized Rao Test.

Xu Cheng Domenico Ciuonzo Pierluigi Salvo Rossi Xiaodong Wang Wei Wang

Event-Based Pinning Synchronization Control for Time-Delayed Complex Dynamical Networks: The Finite-Time Boundedness.

Shuai Liu Tianlin Xu Engang Tian

Adaptive Topology Reconfiguration in Smart Distribution Networks.

Jingyuan Liu Pirathayini Srikantha

Distributed Principal Subspace Analysis for Partitioned Big Data: Algorithms, Analysis, and Implementation.

Arpita Gang Bingqing Xiang Waheed U. Bajwa

Asynchronous Distributed Model Predictive Control for Optimal Output Consensus of High-Order Multi-Agent Systems.

Huaqing Li Lifeng Zheng Zheng Wang Yongfu Li Lianghao Ji Dawen Xia

Detection of False Data Injection Attacks in Industrial Wireless Sensor Networks Exploiting Network Numerical Sparsity.

Jiachen Liu Fabrice Labeau

Distributed Network Time Synchronization: Social Learning Versus Consensus.

Ian Ellis Lamptey Hulede Hyuck M. Kwon

Traffic Signal Prediction on Transportation Networks Using Spatio-Temporal Correlations on Graphs.

Semin Kwak Nikolas Geroliminis Pascal Frossard

A Resilient Approach to Recursive Distributed Filtering for Multirate Systems Over Sensor Networks With Time-Correlated Fading Channels.

Qi Li Zidong Wang Bo Shen Hongjian Liu Weiguo Sheng

Distributed Task Privacy for Aggregation Using Linear Codes.

Matthew O'Connor W. Bastiaan Kleijn

Distributed Partially Linear Additive Models With a High Dimensional Linear Part.

Yue Wang Weiping Zhang Heng Lian

Multi-Scale Graph Convolutional Network With Spectral Graph Wavelet Frame.

Yangmei Shen Wenrui Dai Chenglin Li Junni Zou Hongkai Xiong

Identification of Edge Disconnections in Networks Based on Graph Filter Outputs.

Shlomit Shaked Tirza Routtenberg

Tensor Recursive Least Squares Filters for Multichannel Interrelational Signals.

Shih Yu Chang Hsiao-Chun Wu

Multi-Slope Path Loss and Position Estimation With Grid Search and Experimental Results.

Giulio Maria Bianco Romeo Giuliano Franco Mazzenga Gaetano Marrocco

Data Reconstruction in Heterogeneous Environmental Wireless Sensor Networks Using Robust Tensor Principal Component Analysis.

G. Rajesh Ashvini Chaturvedi

Distributed Adaptive Multi-Task Learning Based on Partially Observed Graph Signals.

Wei Xia Junbin Chen Lisha Yu

Improving J-Divergence of Brain Connectivity States by Graph Laplacian Denoising.

Tiziana Cattai Gaetano Scarano Marie-Constance Corsi Danielle S. Bassett Fabrizio de Vico Fallani Stefania Colonnese

Distributed Adaptive Signal Estimation in Wireless Sensor Networks With Partial Prior Knowledge of the Desired Sources Steering Matrix.

Robbe Van Rompaey Marc Moonen

Probability-Guaranteed Distributed Secure Estimation for Nonlinear Systems Over Sensor Networks Under Deception Attacks on Innovations.

Lifeng Ma Zidong Wang Yun Chen Xiao-jian Yi

Change Detection in Dynamic Networks Using Network Characteristics.

Jonathan Flossdorf Carsten Jentsch

Collision Resolution With FM0 Signal Separation for Short-Range Random Multi-Access Wireless Network.

Haifeng Wu Xiaogang Wu Yi Li Yu Zeng

Adaptive Kernel Learning in Heterogeneous Networks.

Hrusikesha Pradhan Amrit Singh Bedi Alec Koppel Ketan Rajawat

Full Euclidean Distance Based Selection Combining for SSK DF Cooperative Diversity Systems.

A. Ananth Mandha Damodaran Selvaraj

A General Framework for Distributed Inference With Uncertain Models.

James Zachary Hare César A. Uribe Lance M. Kaplan Ali Jadbabaie

Column Partition Based Distributed Algorithms for Coupled Convex Sparse Optimization: Dual and Exact Regularization Approaches.

Jinglai Shen Jianghai Hu Eswar Kumar Hathibelagal Kammara

Graph Tikhonov Regularization and Interpolation Via Random Spanning Forests.

Yusuf Yigit Pilavci Pierre-Olivier Amblard Simon Barthelmé Nicolas Tremblay

A Newton Tracking Algorithm With Exact Linear Convergence for Decentralized Consensus Optimization.

Jiaojiao Zhang Qing Ling Anthony Man-Cho So

Robust Adaptive Steganography Based on Dither Modulation and Modification With Re-Compression.

Zhaoxia Yin Longfei Ke

Robust Deep Graph Based Learning for Binary Classification.

Minxiang Ye Vladimir Stankovic Lina Stankovic Gene Cheung

Stochastic Event-Triggered Distributed Fusion Estimation Under Jamming Attacks.

Li Li Mengfei Niu Yuanqing Xia Hongjiu Yang

Optimal Curing Strategy for Competing Epidemics Spreading Over Complex Networks.

Juntao Chen Yunhan Huang Rui Zhang Quanyan Zhu

Inter-Cluster Transmission Control Using Graph Modal Barriers.

Leiming Zhang Brian M. Sadler Rick S. Blum Subhrajit Bhattacharya

Collaborative Cloud and Edge Mobile Computing in C-RAN Systems With Minimal End-to-End Latency.

Seok-Hwan Park Seongah Jeong Jinyeop Na Osvaldo Simeone Shlomo Shamai

Optimizing Thresholds of the Scan Statistic to Improve Its Worst Case Detection Performance in Sensor Detection Systems.

Benedito J. B. Fonseca Jr.

On Trajectory Design for Intruder Detection in Wireless Mobile Sensor Networks.

Edmond Nurellari Daniel Bonilla Licea Mounir Ghogho Mario Eduardo Rivero-Angeles

Differentially Private Distributed Resource Allocation via Deviation Tracking.

Tie Ding Shanying Zhu Cailian Chen Jinming Xu Xinping Guan

Anytime Minibatch With Delayed Gradients.

Haider Al-Lawati Stark C. Draper

Kernel-Based Graph Learning From Smooth Signals: A Functional Viewpoint.

Xingyue Pu Siu Lun Chau Xiaowen Dong Dino Sejdinovic

Impairments-Aware Resource Allocation for FD Massive MIMO Relay Networks: Sum Rate and Delivery-Time Optimization Perspectives.

Vimal Radhakrishnan Omid Taghizadeh Rudolf Mathar

Probabilistic Reconstruction of Spatio-Temporal Processes Over Multi-Relational Graphs.

Qin Lu Georgios B. Giannakis

Distributed Estimation Under Sensor Attacks: Linear and Nonlinear Measurement Models.

Min Meng Xiuxian Li Gaoxi Xiao

Online Proximal-ADMM for Time-Varying Constrained Convex Optimization.

Yijian Zhang Emiliano Dall'Anese Mingyi Hong

Community Detection in Dynamic Networks: Equivalence Between Stochastic Blockmodels and Evolutionary Spectral Clustering.

Abdullah Karaaslanli Selin Aviyente

Power-Optimal Distributed Beamforming for Multi-Carrier Asynchronous Bidirectional Relay Networks.

Sharareh Kiani Shahram ShahbazPanahi Min Dong Gary Boudreau

Cluster Prediction for Opinion Dynamics From Partial Observations.

Zehong Zhang Fei Lu

Distributed Training of Graph Convolutional Networks.

Simone Scardapane Indro Spinelli Paolo Di Lorenzo

Recursive Secure Filtering Over Gilbert-Elliott Channels in Sensor Networks: The Distributed Case.

Derui Ding Zidong Wang Qing-Long Han Xian-Ming Zhang

Adaptive Graph Filters in Reproducing Kernel Hilbert Spaces: Design and Performance Analysis.

Vitor Rosa Meireles Elias Vinay Chakravarthi Gogineni Wallace A. Martins Stefan Werner

Weighted Average Consensus-Based Optimization of Advection-Diffusion Systems.

Saber Jafarizadeh

Multiscale Representation Learning of Graph Data With Node Affinity.

Xing Gao Wenrui Dai Chenglin Li Hongkai Xiong Pascal Frossard

node2coords: Graph Representation Learning with Wasserstein Barycenters.

Effrosyni Simou Dorina Thanou Pascal Frossard

Federated Tobit Kalman Filtering Fusion With Dead-Zone-Like Censoring and Dynamical Bias Under the Round-Robin Protocol.

Hang Geng Zidong Wang Fuad E. Alsaadi Khalid Hamed Alharbi Yuhua Cheng