期刊： IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS, 2021; 7 ()
The paper concentrates on the distributed fusion estimation issue of a bandwidth-constrained multi-sensor nonlinear networked system suffering from ja......
期刊： IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS, 2021; 7 ()
In internet of things, a central node to multiple sensor nodes is usually a short-range communication network, which generally uses random multiple ac......
期刊： IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS, 2021; 7 ()
This paper considers the problem of decentralized consensus optimization over a network, where each node holds a strongly convex and twice-differentia......
期刊： IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS, 2021; 7 ()
Graph neural networks have achieved impressive progress in solving large and complex graph-structured problems. However, existing methods cannot suffi......
期刊： IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS, 2021; 7 ()
Traditional adaptive steganography is a technique used for covert communication with high security, but it is invalid in the case of stego images are ......
期刊： IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS, 2021; 7 ()
In this paper, we consider the clustered multi-task learning (MTL) problem with partial observations and develop a diffusion least-mean-square (LMS) a......
期刊： IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS, 2021; 7 ()
This paper studies the distributed secure state estimation problem for a class of general nonlinear systems over sensor networks under unknown decepti......
期刊： IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS, 2021; 7 ()
Convolutional neural network (CNN)-based feature learning has become the state-of-the-art for many applications since, given sufficient training data,......
期刊： IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS, 2021; 7 ()
This paper is concerned with the multi-sensor filtering fusion problem subject to stochastic uncertainties under the Round-Robin protocol (RRP). The u......
期刊： IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS, 2021; 7 ()
Graph neural networks have emerged as a popular and powerful tool for learning hierarchical representation of graph data. In complement to graph convo......
期刊： IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS, 2021; 7 ()
This paper investigates distributed estimation of an unknown vector parameter in adversarial environments. Individual agents make successive local mea......
期刊： IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS, 2021; 7 ()
This paper studies the distributed resource allocation problem where all the agents cooperatively minimize the sum of their cost functions. To prevent......
期刊： IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS, 2021; 7 ()
This paper is concerned with the recursive secure filtering problem for a class of discrete-time systems subject to unreliable communication due to th......
期刊： IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS, 2020; 6 ()
Hashing based approximate nearest neighbor search has attracted considerable attention in various fields. Most of the existing hashing methods are cen......
期刊： IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS, 2020; 6 ()
A novel computation-efficient quantized distributed optimization algorithm is presented in this article for solving a class of convex optimization pro......
