IEEE Transactions on Signal and Information Processing Over Networks

Papers
(The median citation count of IEEE Transactions on Signal and Information Processing Over Networks is 1. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-03-01 to 2024-03-01.)
ArticleCitations
Decentralized Federated Learning: Balancing Communication and Computing Costs36
Secure Transmission Scheme Based on Fingerprint Positioning in Cell-Free Massive MIMO Systems19
Federated Tobit Kalman Filtering Fusion With Dead-Zone-Like Censoring and Dynamical Bias Under the Round-Robin Protocol19
A Multi-Agent Collaborative Environment Learning Method for UAV Deployment and Resource Allocation18
Multi-Bit & Sequential Decentralized Detection of a Noncooperative Moving Target Through a Generalized Rao Test18
Probability-Guaranteed Distributed Secure Estimation for Nonlinear Systems Over Sensor Networks Under Deception Attacks on Innovations17
BRIDGE: Byzantine-Resilient Decentralized Gradient Descent17
Deep Reinforcement Learning-Based Cloud-Edge Collaborative Mobile Computation Offloading in Industrial Networks15
A Local Approach to Distributed $H_{\infty }$-Consensus State Estimation Over Sensor Networks Under Hybrid Attacks: Dynamic Event-Triggered Scheme15
Adaptive Event-Triggered Quantized Communication-Based Distributed Estimation Over Sensor Networks With Semi-Markovian Switching Topologies14
Adaptive Graph Filters in Reproducing Kernel Hilbert Spaces: Design and Performance Analysis14
Joint State and Fault Estimation of Complex Networks Under Measurement Saturations and Stochastic Nonlinearities13
Differentially Private Distributed Resource Allocation via Deviation Tracking13
A Newton Tracking Algorithm With Exact Linear Convergence for Decentralized Consensus Optimization13
Generalized Locally Most Powerful Tests for Distributed Sparse Signal Detection13
Reconstruction of Time-Varying Graph Signals via Sobolev Smoothness13
Event-Based Pinning Synchronization Control for Time-Delayed Complex Dynamical Networks: The Finite-Time Boundedness12
Robust Adaptive Steganography Based on Dither Modulation and Modification With Re-Compression12
Collaborative Cloud and Edge Mobile Computing in C-RAN Systems With Minimal End-to-End Latency12
Optimal Curing Strategy for Competing Epidemics Spreading Over Complex Networks12
Protocol-Based Fusion Estimator Design for State-Saturated Systems With Dead-Zone-Like Censoring Under Deception Attacks11
Distributed Estimation Under Sensor Attacks: Linear and Nonlinear Measurement Models11
Multi-Slope Path Loss and Position Estimation With Grid Search and Experimental Results11
Distributed Detection Fusion in Clustered Sensor Networks Over Multiple Access Fading Channels10
A Resilient Approach to Recursive Distributed Filtering for Multirate Systems Over Sensor Networks With Time-Correlated Fading Channels9
Model-Free Adaptive Control for Nonlinear Multi-Agent Systems With Encoding-Decoding Mechanism9
Discrete-Time Periodic Event-Triggered Distributed Set-Membership Estimation Over Sensor Networks9
Distributed Adaptive Signal Estimation in Wireless Sensor Networks With Partial Prior Knowledge of the Desired Sources Steering Matrix9
Recursive Secure Filtering Over Gilbert-Elliott Channels in Sensor Networks: The Distributed Case9
Kernel-Based Graph Learning From Smooth Signals: A Functional Viewpoint9
A Variable Parameter LMS Algorithm Based on Generalized Maximum Correntropy Criterion for Graph Signal Processing9
Distributed Principal Subspace Analysis for Partitioned Big Data: Algorithms, Analysis, and Implementation8
Dynamic Event-Triggered Approach for Distributed State and Parameter Estimation Over Networks Subjected to Deception Attacks8
Multi-Scale Graph Convolutional Network With Spectral Graph Wavelet Frame8
An Efficient Distributed Kalman Filter Over Sensor Networks With Maximum Correntropy Criterion8
Collision Resolution With FM0 Signal Separation for Short-Range Random Multi-Access Wireless Network7
Stochastic Event-Triggered Distributed Fusion Estimation Under Jamming Attacks7
Enhanced Audit Bit Based Distributed Bayesian Detection in the Presence of Strategic Attacks7
Asynchronous Distributed Model Predictive Control for Optimal Output Consensus of High-Order Multi-Agent Systems7
Further Studies on Sampled-Data Consensus of Multi-Agent Systems With Communication Delays7
Modeling and Analysis of Opinion Dynamics in Social Networks Using Multiple-Population Mean Field Games7
Permutation Entropy for Graph Signals6
Scalable Perception-Action-Communication Loops With Convolutional and Graph Neural Networks6
Distributed Control Microgrids: Cyber-Attack Models, Impacts and Remedial Strategies6
Community Detection in Dynamic Networks: Equivalence Between Stochastic Blockmodels and Evolutionary Spectral Clustering6
Optimal Memory Scheme for Accelerated Consensus Over Multi-Agent Networks6
Online Proximal-ADMM for Time-Varying Constrained Convex Optimization6
Distributed Training of Graph Convolutional Networks6
Fair Contrastive Learning on Graphs6
Optimized Distributed Filtering for Time-Varying Saturated Stochastic Systems With Energy Harvesting Sensors Over Sensor Networks6
On Fully-Distributed Composite Tests With General Parametric Data Distributions in Sensor Networks6
Data Reconstruction in Heterogeneous Environmental Wireless Sensor Networks Using Robust Tensor Principal Component Analysis6
Impairments-Aware Resource Allocation for FD Massive MIMO Relay Networks: Sum Rate and Delivery-Time Optimization Perspectives6
Detection of False Data Injection Attacks in Industrial Wireless Sensor Networks Exploiting Network Numerical Sparsity5
Tensor Recursive Least Squares Filters for Multichannel Interrelational Signals5
Cooperative Learning of Multi-Agent Systems Via Reinforcement Learning5
On Trajectory Design for Intruder Detection in Wireless Mobile Sensor Networks5
Identification of Edge Disconnections in Networks Based on Graph Filter Outputs5
Robust Fault Detection for Uncertain Delayed Systems With Measurement Outliers Under Stochastic Communication Protocol5
A Unified Approach for Simultaneous Graph Learning and Blind Separation of Graph Signal Sources5
Hyper-Laplacian Regularized Nonconvex Low-Rank Representation for Multi-View Subspace Clustering5
Explainability and Graph Learning From Social Interactions4
Distributed Sparse Optimization With Weakly Convex Regularizer: Consensus Promoting and Approximate Moreau Enhanced Penalties Towards Global Optimality4
A General Framework for Distributed Inference With Uncertain Models4
Learning Graphs From Smooth and Graph-Stationary Signals With Hidden Variables4
Recursive Distributed Filter Design for 2-D Systems Over Sensor Networks: On Component-Based, Node-Wise and Dynamic Event-Triggered Scheme4
Probabilistic Reconstruction of Spatio-Temporal Processes Over Multi-Relational Graphs4
Full Euclidean Distance Based Selection Combining for SSK DF Cooperative Diversity Systems4
Change Detection in Dynamic Networks Using Network Characteristics4
Improving J-Divergence of Brain Connectivity States by Graph Laplacian Denoising4
Multiple Hypothesis Testing Framework for Spatial Signals4
Robust Deep Graph Based Learning for Binary Classification4
Distributed Filter With Biased Measurements: A Scalable Bias-Correction Approach3
An Exploratory Distributed Localization Algorithm Based on 3D Barycentric Coordinates3
node2coords: Graph Representation Learning with Wasserstein Barycenters3
Distributed Network Time Synchronization: Social Learning Versus Consensus3
A Hessian Inversion-Free Exact Second Order Method for Distributed Consensus Optimization3
Compensation-Based Distributed Model-Free Adaptive Control for Cyber-Attacks3
Saturated Sampled-Data Distributed Control for Interval Consensus of Multi-Agent Systems3
Graph Neural Networks With Lifting-Based Adaptive Graph Wavelets3
Seeking Velocity-Free Consensus for Multi-Agent Systems With Nonuniform Communication and Measurement Delays3
Dynamic Event-Triggered Feedback Fusion Estimation for Nonlinear Multi-Sensor Systems With Auto/Cross-Correlated Noises3
Adaptive Resilient Tracking Control With Dual-Terminal Dynamic-Triggering for a Linear Multi-Agent System Against False Data Injection Attacks3
Strategic DoS Attack in Continuous Space for Cyber-Physical Systems Over Wireless Networks3
Distributed Saddle Point Problems for Strongly Concave-Convex Functions3
Graph Tikhonov Regularization and Interpolation Via Random Spanning Forests3
Adaptive Kernel Learning in Heterogeneous Networks3
Online Change Point Detection for Weighted and Directed Random Dot Product Graphs3
Resampling and Network Theory3
User Association and Hybrid Beamforming Designs for Cooperative mmWave MIMO Systems3
Bipartite Consensus for Takagi-Sugeno Fuzzy Uncertain Multi-Agent Systems With Gain Fluctuations3
Graph Signal Separation Based on Smoothness or Sparsity in the Frequency Domain2
Adaptive Topology Reconfiguration in Smart Distribution Networks2
Power-Optimal Distributed Beamforming for Multi-Carrier Asynchronous Bidirectional Relay Networks2
Weighted Average Consensus-Based Optimization of Advection-Diffusion Systems2
Auxiliary Particle Filtering Over Sensor Networks Under Protocols of Amplify-and-Forward and Decode-and-Forward Relays2
Inferring Hidden Structures in Random Graphs2
Fault Estimation and Fault-Tolerant Tracking Control for Multi-Agent Systems With Lipschitz Nonlinearities Using Double Periodic Event-Triggered Mechanism2
Mesh-Based Consensus Distributed Particle Filtering for Sensor Networks2
Distributed Fusion With Unknown Inputs Under Bandwidth-Aware Event-Triggered Mechanisms: Monotonicity and Boundedness2
Cooperative Mode Switching-Based Cognitive NOMA With Transmit Antenna and User Selection2
Likelihood-Based Inference for Modelling Packet Transit From Thinned Flow Summaries2
Multiscale Representation Learning of Graph Data With Node Affinity2
Information Fusion via Importance Sampling2
Gaussian Kernel Variance for an Adaptive Learning Method on Signals Over Graphs2
Analysis of the Spatio-Temporal Dynamics of COVID-19 in Massachusetts via Spectral Graph Wavelet Theory2
Parallel Graph Signal Processing: Sampling and Reconstruction2
Analysis of a Diffusion LMS Algorithm With Communication Delays for Cyclostationary White Gaussian Inputs2
Distributed Adaptive Multi-Task Learning Based on Partially Observed Graph Signals2
Decentralized and Model-Free Federated Learning: Consensus-Based Distillation in Function Space2
Joint Graph Learning and Blind Separation of Smooth Graph Signals Using Minimization of Mutual Information and Laplacian Quadratic Forms2
Multivariate Time Series Forecasting With GARCH Models on Graphs2
Explaining Graph Neural Networks With Topology-Aware Node Selection: Application in Air Quality Inference2
A Communication-Efficient Decentralized Newton's Method With Provably Faster Convergence2
Proportionate Adaptive Graph Signal Recovery2
Performance Analysis of Smart Grid Wide Area Network With RIS Assisted Three Hop System2
Optimizing Thresholds of the Scan Statistic to Improve Its Worst Case Detection Performance in Sensor Detection Systems2
Distributed Secure State Estimation of Multi-Sensor Systems Subject to Two-Channel Hybrid Attacks1
Wasserstein-Based Graph Alignment1
Graph-Based Classification With Multiple Shift Matrices1
Temporal Multiple Rotation Averaging on a Distributed Dynamic Network1
Graph Wedgelets: Adaptive Data Compression on Graphs Based on Binary Wedge Partitioning Trees and Geometric Wavelets1
Design of Functional Interval Observer for Discrete Time-Varying Nonlinear Interconnected Systems Based on Coding-Decoding Scheme1
Distributed Partially Linear Additive Models With a High Dimensional Linear Part1
Kernel Regression for Matrix-Variate Gaussian Distributed Signals Over Sample Graphs1
Traffic Signal Prediction on Transportation Networks Using Spatio-Temporal Correlations on Graphs1
Inter-Cluster Transmission Control Using Graph Modal Barriers1
Decentralized Eigendecomposition for Online Learning Over Graphs With Applications1
Deterministic and Randomized Diffusion Based Iterative Generalized Hard Thresholding (DiFIGHT) for Distributed Recovery of Sparse Signals1
Gaussian Processes on Graphs Via Spectral Kernel Learning1
Personalized Graph Federated Learning With Differential Privacy1
Graph Topology Inference With Derivative-Reproducing Property in RKHS: Algorithm and Convergence Analysis1
An Asymptotically Equivalent GLRT Test for Distributed Detection in Wireless Sensor Networks1
A Closed-Form Solution for Graph Signal Separation Based on Smoothness1
Diffusion Mixture Minimum Total Error Entropy Adaptive Filtering Algorithm and Its Performance Analysis1
Quantized Distributed Estimation With Adaptive Combiner1
Communication-Efficient Federated Learning Using Censored Heavy Ball Descent1
Improved Interval Estimation Method for Cyber-Physical Systems Under Stealthy Deception Attacks1
Cluster Prediction for Opinion Dynamics From Partial Observations1
Deep Transfer Reinforcement Learning for Beamforming and Resource Allocation in Multi-Cell MISO-OFDMA Systems1
Distributed Extended Object Tracking Using Coupled Velocity Model From WLS Perspective1
Recursive Distributed Filtering for Time-Varying Systems Over Sensor Network via Rayleigh Fading Channels: Tackling Binary Measurements1
Intelligent Edge Sensing and Control Co-Design for Industrial Cyber-Physical System1
Anytime Minibatch With Delayed Gradients1
Surface Target Tracking Using Towed Array Sonars With Direct and Bottom Bounce Underwater Sound Signals1
Byzantine Resilient Non-Convex SCSG With Distributed Batch Gradient Computations1
Message Passing-Based 9-D Cooperative Localization and Navigation With Embedded Particle Flow1
Frequency-Domain Diffusion Bias-Compensated Adaptation With Periodic Communication1
CBDS2R: A Cluster-Based Depth Source Selection Routing for Underwater Wireless Sensor Network1
Online Joint Topology Identification and Signal Estimation From Streams With Missing Data1
Statistical Consistency for Change Point Detection and Community Estimation in Time-Evolving Dynamic Networks1
Task-Aware Connectivity Learning for Incoming Nodes Over Growing Graphs1
Large Graph Signal Denoising With Application to Differential Privacy1
Greedy $k$-Center From Noisy Distance Samples1
0.027673959732056