Inexact-ADMM based federated meta-learning for fast and continual edge learning
In order to meet the requirements for performance, safety, and latency in many IoT
applications, intelligent decisions must be made right here right now at the network edge …
applications, intelligent decisions must be made right here right now at the network edge …
A data-driven distributionally newsvendor problem for edge-cloud collaboration in intelligent manufacturing systems
In intelligent manufacturing systems, the industrial informatics has features of multi-source,
multi-noise, and time series. It is difficult for small and medium enterprises (SMEs) to directly …
multi-noise, and time series. It is difficult for small and medium enterprises (SMEs) to directly …
Towards resource-efficient edge AI: From federated learning to semi-supervised model personalization
A central question in edge intelligence is “how can an edge device learn its local model with
limited data and constrained computing capacity?” In this study, we explore the approach …
limited data and constrained computing capacity?” In this study, we explore the approach …
Robust trajectory and offloading for energy-efficient UAV edge computing in Industrial Internet of Things
X Tang, H Zhang, R Zhang, D Zhou… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Efficient data processing and computation are essential for the Industrial Internet of Things
(IIoT) to empower various applications, which can be significantly bottlenecked by the limited …
(IIoT) to empower various applications, which can be significantly bottlenecked by the limited …
[图书][B] Edge intelligence in the making: Optimization, deep learning, and applications
With the explosive growth of mobile computing and Internet of Things (IoT) applications, as
exemplified by AR/VR, smart city, and video/audio surveillance, billions of mobile and IoT …
exemplified by AR/VR, smart city, and video/audio surveillance, billions of mobile and IoT …
Heterogeneous pointer network for travelling officer problem
Traveling Salesman Problem (TSP) is a classic NP-hard problem in Combinatorial
Optimization (CO), which has been widely studied. Traveling Officer Problem (TOP) derived …
Optimization (CO), which has been widely studied. Traveling Officer Problem (TOP) derived …
Localization-assisted Communication for RIS-aided Distributed MIMO Systems Using Distributionally Robust Optimization
Reconfigurable intelligent surface (RIS)-assisted distributed multiple-input multiple-output (D-
MIMO) systems rely on instantaneous channel state information (CSI) to optimize the RIS …
MIMO) systems rely on instantaneous channel state information (CSI) to optimize the RIS …
Location-Aware Communication for RIS-Aided Distributed MIMO Systems
In reconfigurable intelligent surface (RIS)-aided distributed multiple-input multiple-output (D-
MIMO) systems, instantaneous channel state information (CSI) is essential for the …
MIMO) systems, instantaneous channel state information (CSI) is essential for the …
Joint Optimization of Task Offloading and Resource Allocation in Tactical Edge Networks
Recent years have witnessed explosive growth in deploying IoT devices over tactical edge
networks. Due to the limited computing resources of local edge devices, there is an urgent …
networks. Due to the limited computing resources of local edge devices, there is an urgent …
A Distributed Co-Evolutionary Optimization Method With Motif for Large-Scale IoT Robustness
Fast-advancing mobile communication technologies have increased the scale of the Internet
of Things (IoT) dramatically. However, this poses a tough challenge to the robustness of IoT …
of Things (IoT) dramatically. However, this poses a tough challenge to the robustness of IoT …