OOIR: Observatory of International Research

Papers

(The median citation count of IEEE Transactions on Signal and Information Processing Over Networks is 2. 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 2020-11-01 to 2024-11-01.)

Article	Citations
Decentralized Federated Learning: Balancing Communication and Computing Costs	62
BRIDGE: Byzantine-Resilient Decentralized Gradient Descent	33
A Multi-Agent Collaborative Environment Learning Method for UAV Deployment and Resource Allocation	26
Secure Transmission Scheme Based on Fingerprint Positioning in Cell-Free Massive MIMO Systems	23
Federated Tobit Kalman Filtering Fusion With Dead-Zone-Like Censoring and Dynamical Bias Under the Round-Robin Protocol	23
Deep Reinforcement Learning-Based Cloud-Edge Collaborative Mobile Computation Offloading in Industrial Networks	23
Probability-Guaranteed Distributed Secure Estimation for Nonlinear Systems Over Sensor Networks Under Deception Attacks on Innovations	23
Adaptive Event-Triggered Quantized Communication-Based Distributed Estimation Over Sensor Networks With Semi-Markovian Switching Topologies	22
Reconstruction of Time-Varying Graph Signals via Sobolev Smoothness	21
Multi-Bit & Sequential Decentralized Detection of a Noncooperative Moving Target Through a Generalized Rao Test	20
A Local Approach to Distributed $H_{\infty }$-Consensus State Estimation Over Sensor Networks Under Hybrid Attacks: Dynamic Event-Triggered Scheme	19
Joint State and Fault Estimation of Complex Networks Under Measurement Saturations and Stochastic Nonlinearities	18
A Newton Tracking Algorithm With Exact Linear Convergence for Decentralized Consensus Optimization	18
Adaptive Graph Filters in Reproducing Kernel Hilbert Spaces: Design and Performance Analysis	17
Collaborative Cloud and Edge Mobile Computing in C-RAN Systems With Minimal End-to-End Latency	16
Distributed Estimation Under Sensor Attacks: Linear and Nonlinear Measurement Models	16
Dynamic Event-Triggered Approach for Distributed State and Parameter Estimation Over Networks Subjected to Deception Attacks	16
Optimized Distributed Filtering for Time-Varying Saturated Stochastic Systems With Energy Harvesting Sensors Over Sensor Networks	15
Multi-Slope Path Loss and Position Estimation With Grid Search and Experimental Results	15
Generalized Locally Most Powerful Tests for Distributed Sparse Signal Detection	15
A Variable Parameter LMS Algorithm Based on Generalized Maximum Correntropy Criterion for Graph Signal Processing	15
Robust Adaptive Steganography Based on Dither Modulation and Modification With Re-Compression	14
Distributed Training of Graph Convolutional Networks	14
Event-Based Pinning Synchronization Control for Time-Delayed Complex Dynamical Networks: The Finite-Time Boundedness	14
Protocol-Based Fusion Estimator Design for State-Saturated Systems With Dead-Zone-Like Censoring Under Deception Attacks	13

Optimal Memory Scheme for Accelerated Consensus Over Multi-Agent Networks	13
Model-Free Adaptive Control for Nonlinear Multi-Agent Systems With Encoding-Decoding Mechanism	13
Differentially Private Distributed Resource Allocation via Deviation Tracking	13
Recursive Secure Filtering Over Gilbert-Elliott Channels in Sensor Networks: The Distributed Case	12
Auxiliary Particle Filtering Over Sensor Networks Under Protocols of Amplify-and-Forward and Decode-and-Forward Relays	12
Distributed Control Microgrids: Cyber-Attack Models, Impacts and Remedial Strategies	12
Further Studies on Sampled-Data Consensus of Multi-Agent Systems With Communication Delays	12
Optimal Curing Strategy for Competing Epidemics Spreading Over Complex Networks	12
Asynchronous Distributed Model Predictive Control for Optimal Output Consensus of High-Order Multi-Agent Systems	11
A Resilient Approach to Recursive Distributed Filtering for Multirate Systems Over Sensor Networks With Time-Correlated Fading Channels	11
Fair Contrastive Learning on Graphs	11
Scalable Perception-Action-Communication Loops With Convolutional and Graph Neural Networks	10
Kernel-Based Graph Learning From Smooth Signals: A Functional Viewpoint	10
Hyper-Laplacian Regularized Nonconvex Low-Rank Representation for Multi-View Subspace Clustering	10
Distributed Detection Fusion in Clustered Sensor Networks Over Multiple Access Fading Channels	10
Message Passing-Based 9-D Cooperative Localization and Navigation With Embedded Particle Flow	10
Distributed Adaptive Signal Estimation in Wireless Sensor Networks With Partial Prior Knowledge of the Desired Sources Steering Matrix	10
Discrete-Time Periodic Event-Triggered Distributed Set-Membership Estimation Over Sensor Networks	10
Robust Fault Detection for Uncertain Delayed Systems With Measurement Outliers Under Stochastic Communication Protocol	10
Seeking Velocity-Free Consensus for Multi-Agent Systems With Nonuniform Communication and Measurement Delays	10
Stochastic Event-Triggered Distributed Fusion Estimation Under Jamming Attacks	10
Learning Graphs From Smooth and Graph-Stationary Signals With Hidden Variables	9
Online Proximal-ADMM for Time-Varying Constrained Convex Optimization	9
Modeling and Analysis of Opinion Dynamics in Social Networks Using Multiple-Population Mean Field Games	9
Permutation Entropy for Graph Signals	9
Multi-Scale Graph Convolutional Network With Spectral Graph Wavelet Frame	9
Bipartite Consensus for Takagi-Sugeno Fuzzy Uncertain Multi-Agent Systems With Gain Fluctuations	9
Cooperative Learning of Multi-Agent Systems Via Reinforcement Learning	9
Adaptive Resilient Tracking Control With Dual-Terminal Dynamic-Triggering for a Linear Multi-Agent System Against False Data Injection Attacks	9
Data Reconstruction in Heterogeneous Environmental Wireless Sensor Networks Using Robust Tensor Principal Component Analysis	8
Impairments-Aware Resource Allocation for FD Massive MIMO Relay Networks: Sum Rate and Delivery-Time Optimization Perspectives	8
Detection of False Data Injection Attacks in Industrial Wireless Sensor Networks Exploiting Network Numerical Sparsity	8
Distributed Principal Subspace Analysis for Partitioned Big Data: Algorithms, Analysis, and Implementation	8
Performance Analysis of Smart Grid Wide Area Network With RIS Assisted Three Hop System	8
Tensor Recursive Least Squares Filters for Multichannel Interrelational Signals	8
Enhanced Audit Bit Based Distributed Bayesian Detection in the Presence of Strategic Attacks	8
An Efficient Distributed Kalman Filter Over Sensor Networks With Maximum Correntropy Criterion	8
Collision Resolution With FM0 Signal Separation for Short-Range Random Multi-Access Wireless Network	7
Graph Tikhonov Regularization and Interpolation Via Random Spanning Forests	7
User Association and Hybrid Beamforming Designs for Cooperative mmWave MIMO Systems	7
Probabilistic Reconstruction of Spatio-Temporal Processes Over Multi-Relational Graphs	7
Community Detection in Dynamic Networks: Equivalence Between Stochastic Blockmodels and Evolutionary Spectral Clustering	7
On Trajectory Design for Intruder Detection in Wireless Mobile Sensor Networks	6
Explainability and Graph Learning From Social Interactions	6
Full Euclidean Distance Based Selection Combining for SSK DF Cooperative Diversity Systems	6
Strategic DoS Attack in Continuous Space for Cyber-Physical Systems Over Wireless Networks	6
On Fully-Distributed Composite Tests With General Parametric Data Distributions in Sensor Networks	6
Proportionate Adaptive Graph Signal Recovery	6
t-HGSP: Hypergraph Signal Processing Using t-Product Tensor Decompositions	6
Compensation-Based Distributed Model-Free Adaptive Control for Cyber-Attacks	6

Recursive Distributed Filter Design for 2-D Systems Over Sensor Networks: On Component-Based, Node-Wise and Dynamic Event-Triggered Scheme	6
Identification of Edge Disconnections in Networks Based on Graph Filter Outputs	6
A Hessian Inversion-Free Exact Second Order Method for Distributed Consensus Optimization	6
Distributed Saddle Point Problems for Strongly Concave-Convex Functions	5
Protocol-Based Distributed Security Fusion Estimation for Time-Varying Uncertain Systems Over Sensor Networks: Tackling DoS Attacks	5
Fault Estimation and Fault-Tolerant Tracking Control for Multi-Agent Systems With Lipschitz Nonlinearities Using Double Periodic Event-Triggered Mechanism	5
Fixed-Time Optimal Fault-Tolerant Formation Control With Prescribed Performance for Fixed-Wing UAVs Under Dual Faults	5
Distributed Filter With Biased Measurements: A Scalable Bias-Correction Approach	5
Tackling Over-Smoothing in Graph Convolutional Networks With EM-Based Joint Topology Optimization and Node Classification	5
Inferring Hidden Structures in Random Graphs	5
Multiple Hypothesis Testing Framework for Spatial Signals	5
Decentralized and Model-Free Federated Learning: Consensus-Based Distillation in Function Space	5
Change Detection in Dynamic Networks Using Network Characteristics	5
A Unified Approach for Simultaneous Graph Learning and Blind Separation of Graph Signal Sources	5
Parallel Graph Signal Processing: Sampling and Reconstruction	5
CBDS²R: A Cluster-Based Depth Source Selection Routing for Underwater Wireless Sensor Network	4
Robust Deep Graph Based Learning for Binary Classification	4
Graph Signal Separation Based on Smoothness or Sparsity in the Frequency Domain	4
Dynamic Event-Triggered Fusion Filtering for Multi-Sensor Rectangular Descriptor Systems With Random State Delay	4
Distributed Sparse Optimization With Weakly Convex Regularizer: Consensus Promoting and Approximate Moreau Enhanced Penalties Towards Global Optimality	4
Distributed Extended Object Tracking Using Coupled Velocity Model From WLS Perspective	4
Distributed Fusion With Unknown Inputs Under Bandwidth-Aware Event-Triggered Mechanisms: Monotonicity and Boundedness	4
Surface Target Tracking Using Towed Array Sonars With Direct and Bottom Bounce Underwater Sound Signals	4
Improving J-Divergence of Brain Connectivity States by Graph Laplacian Denoising	4
Dynamic Event-Triggered Feedback Fusion Estimation for Nonlinear Multi-Sensor Systems With Auto/Cross-Correlated Noises	4
A General Framework for Distributed Inference With Uncertain Models	4
Distributed Adaptive Tobit Kalman Filter for Networked Systems Under Sensor Delays and Censored Measurements	4
Saturated Sampled-Data Distributed Control for Interval Consensus of Multi-Agent Systems	4
A Communication-Efficient Decentralized Newton's Method With Provably Faster Convergence	4
Graph Neural Networks With Lifting-Based Adaptive Graph Wavelets	4
An Exploratory Distributed Localization Algorithm Based on 3D Barycentric Coordinates	3
Practical Fixed-Time Consensus Tracking for Second-Order Multi-Agent Systems With Mismatched Disturbances	3
node2coords: Graph Representation Learning with Wasserstein Barycenters	3
Online Change Point Detection for Weighted and Directed Random Dot Product Graphs	3
Mesh-Based Consensus Distributed Particle Filtering for Sensor Networks	3
Distributed Secure State Estimation of Multi-Sensor Systems Subject to Two-Channel Hybrid Attacks	3
Explaining Graph Neural Networks With Topology-Aware Node Selection: Application in Air Quality Inference	3
Multivariate Time Series Forecasting With GARCH Models on Graphs	3
Quantized Distributed Estimation With Adaptive Combiner	3
Adaptive Kernel Learning in Heterogeneous Networks	3
Analysis of the Spatio-Temporal Dynamics of COVID-19 in Massachusetts via Spectral Graph Wavelet Theory	3
Distributed Network Time Synchronization: Social Learning Versus Consensus	3
Optimizing Thresholds of the Scan Statistic to Improve Its Worst Case Detection Performance in Sensor Detection Systems	3
Recursive Distributed Filtering for Time-Varying Systems Over Sensor Network via Rayleigh Fading Channels: Tackling Binary Measurements	3
Power-Optimal Distributed Beamforming for Multi-Carrier Asynchronous Bidirectional Relay Networks	3
Joint Graph Learning and Blind Separation of Smooth Graph Signals Using Minimization of Mutual Information and Laplacian Quadratic Forms	3
Gaussian Kernel Variance for an Adaptive Learning Method on Signals Over Graphs	3
Learning Product Graphs From Spectral Templates	3
Resampling and Network Theory	3
Distributed Model-Free Adaptive Predictive Control for MIMO Multi-Agent Systems With Deception Attack	3
Distributed Adaptive Multi-Task Learning Based on Partially Observed Graph Signals	3
Weighted Average Consensus-Based Optimization of Advection-Diffusion Systems	3
Multiscale Representation Learning of Graph Data With Node Affinity	3
Information Fusion via Importance Sampling	2
Graphical Evolutionary Game Theoretic Modeling of Strategy Evolution Over Heterogeneous Networks	2
Improved Interval Estimation Method for Cyber-Physical Systems Under Stealthy Deception Attacks	2
Model-Free Adaptive Iterative Learning From Communicable Agents for Nonlinear Networks Consensus	2
Decentralized Eigendecomposition for Online Learning Over Graphs With Applications	2
Deterministic and Randomized Diffusion Based Iterative Generalized Hard Thresholding (DiFIGHT) for Distributed Recovery of Sparse Signals	2
Intelligent Edge Sensing and Control Co-Design for Industrial Cyber-Physical System	2
Learning to Model the Relationship Between Brain Structural and Functional Connectomes	2
Cooperative Mode Switching-Based Cognitive NOMA With Transmit Antenna and User Selection	2
Detection and Recovery of Hidden Submatrices	2
A Distributed Nesterov-Like Gradient Tracking Algorithm for Composite Constrained Optimization	2
Localization of Data Injection Attacks on Distributed M-Estimation	2
Encoding-Decoding-Based Distributed Fusion Filtering for Multi-Rate Nonlinear Systems With Sensor Resolutions	2
Fault-Tolerant Finite-Time Consensus of Multi-Agent Systems Under Asynchronous Self-Sensing Function Failures	2
Wasserstein-Based Graph Alignment	2
Gaussian Processes on Graphs Via Spectral Kernel Learning	2
Likelihood-Based Inference for Modelling Packet Transit From Thinned Flow Summaries	2
Adaptive Topology Reconfiguration in Smart Distribution Networks	2
Revisiting the Primal-Dual Method of Multipliers for Optimisation Over Centralised Networks	2
Cluster Prediction for Opinion Dynamics From Partial Observations	2
SecDT: Privacy-Preserving Outsourced Decision Tree Classification Without Polynomial Forms in Edge-Cloud Computing	2
Statistical Consistency for Change Point Detection and Community Estimation in Time-Evolving Dynamic Networks	2
Deep Transfer Reinforcement Learning for Beamforming and Resource Allocation in Multi-Cell MISO-OFDMA Systems	2
Analysis of a Diffusion LMS Algorithm With Communication Delays for Cyclostationary White Gaussian Inputs	2
Controller Synthesis of Asynchronous Periodic Event-Triggered Networked Control Systems Subject to Quantization Effects	2
Byzantine-Robust Distributed Learning With Compression	2