IEEE Transactions on Signal and Information Processing Over Networks

Papers
(The H4-Index of IEEE Transactions on Signal and Information Processing Over Networks is 16. 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 2020-12-01 to 2024-12-01.)
ArticleCitations
Decentralized Federated Learning: Balancing Communication and Computing Costs62
BRIDGE: Byzantine-Resilient Decentralized Gradient Descent33
A Multi-Agent Collaborative Environment Learning Method for UAV Deployment and Resource Allocation26
Secure Transmission Scheme Based on Fingerprint Positioning in Cell-Free Massive MIMO Systems23
Federated Tobit Kalman Filtering Fusion With Dead-Zone-Like Censoring and Dynamical Bias Under the Round-Robin Protocol23
Deep Reinforcement Learning-Based Cloud-Edge Collaborative Mobile Computation Offloading in Industrial Networks23
Probability-Guaranteed Distributed Secure Estimation for Nonlinear Systems Over Sensor Networks Under Deception Attacks on Innovations23
Adaptive Event-Triggered Quantized Communication-Based Distributed Estimation Over Sensor Networks With Semi-Markovian Switching Topologies22
Reconstruction of Time-Varying Graph Signals via Sobolev Smoothness21
Multi-Bit & Sequential Decentralized Detection of a Noncooperative Moving Target Through a Generalized Rao Test20
A Local Approach to Distributed $H_{\infty }$-Consensus State Estimation Over Sensor Networks Under Hybrid Attacks: Dynamic Event-Triggered Scheme19
Joint State and Fault Estimation of Complex Networks Under Measurement Saturations and Stochastic Nonlinearities18
A Newton Tracking Algorithm With Exact Linear Convergence for Decentralized Consensus Optimization18
Adaptive Graph Filters in Reproducing Kernel Hilbert Spaces: Design and Performance Analysis17
Collaborative Cloud and Edge Mobile Computing in C-RAN Systems With Minimal End-to-End Latency16
Distributed Estimation Under Sensor Attacks: Linear and Nonlinear Measurement Models16
Dynamic Event-Triggered Approach for Distributed State and Parameter Estimation Over Networks Subjected to Deception Attacks16
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