IEEE Journal of Selected Topics in Signal Processing

Last chance to submit to the Special Issue on Signal Processing for Digital Twin in 6G Multi-Tier Computing Systems. Submission Deadline: 15 August 2023. 

Last chance to submit to the Special Issue on Learning-Based Signal Processing for Integrated Sensing and Communications. Submission Deadline Extended: 26 June 2023. 

A new initiative of JSTSP, Special Series on AI in Signal & Data Science, is launched, to be published within the IEEE Journal of Selected Topics in Signal Processing (JSTSP). Submission Deadline: 1 July 2023.

Uncertainty quantification plays a key role in the development of autonomous systems, decision-making, and tracking over wireless sensor networks (WSNs). However, there is a need of providing uncertainty confidence bounds, especially for distributed machine learning-based tracking, dealing with different volumes of data collected by sensors.

Federated learning (FL) has emerged as an instance of distributed machine learning paradigm that avoids the transmission of data generated on the users' side. Although data are not transmitted, edge devices have to deal with limited communication bandwidths, data heterogeneity, and straggler effects due to the limited computational resources of users' devices.

Satellite image based land cover classification, which falls under the category of semantic segmentation, is critical for many global and environmental applications. Deep learning has been proven to be excellent in semantic segmentation. However, mainstream neural networks formed by connecting high-to-low convolutions in series are prone to losing image information, which affects the accuracy of semantic segmentation. 

The mobile and flexible unmanned aerial vehicle (UAV) with mobile edge computing (MEC) can effectively relieve the computing pressure of the massive data traffic in 5G Internet of Things. In this paper, we propose a novel online edge learning offloading (OELO) scheme for UAV-assisted MEC secure communications, which can improve the secure computation performance. Moreover, the problem of information security is further considered since the offloading information of terminal users (TUs) may be eavesdropped due to the light-of-sight characteristic of UAV transmission.