期刊： IEEE NETWORK, 2021; 35 (1)
Neural networks have attracted much attention due to their excellent performance in providing insightful predictions. The trained neural network model......
期刊： IEEE NETWORK, 2021; 35 (1)
Nowadays the deployment of drones/UAVs is not just limited to military and defense establishments; they are also widely deployed in geo-dispersed appl......
期刊： IEEE NETWORK, 2021; 35 (3)
Nowadays, large and complex deep learning (DL) models are increasingly trained in a distributed manner across multiple worker machines, in which exten......
期刊： IEEE NETWORK, 2021; 35 (1)
Convolutional neural network (CNN) has been widely used in the medical domain, but how to protect privacy is still a challenge. In addition, tradition......
期刊： IEEE NETWORK, 2021; 35 (2)
Wireless mesh network (WMN) is one of the most promising technologies for Internet of Things (IoT) applications because of its self-adaptive and self-......
期刊： IEEE NETWORK, 2021; 35 (1)
The future mobile communication system is expected to provide ubiquitous connectivity and unprecedented services over billions of devices. The flying ......
期刊： IEEE NETWORK, 2021; 35 (1)
Edge intelligence (EI), integrated with the merits of both edge computing and artificial intelligence, has been proposed recently to realize intensive......
期刊： IEEE NETWORK, 2021; 35 (1)
As traditional centralized learning networks (CLNs) are facing increasing challenges in terms of privacy preservation, communication overheads, and sc......
期刊： IEEE NETWORK, 2021; 35 (1)
UAV (Unmanned Aerial Vehicle) swarms are being utilized to launch military attacks due to its technological development. At present, there is a lack o......
期刊： IEEE NETWORK, 2021; 35 (4)
Federated learning is a new distributed machine learning paradigm that many clients (e.g., mobile devices or organizations) collaboratively train a mo......
期刊： IEEE NETWORK, 2021; 35 (4)
Driven by the demands of efficient network operation and high service availability, the convergence of artificial intelligence (AI) with radio access ......
期刊： IEEE NETWORK, 2021; 35 (3)
Vehicular edge computing (VEC) is a promising paradigm to enable information sharing and acquisition among vehicles. Since information freshness has s......
期刊： IEEE NETWORK, 2021; 35 (4)
Integrated terrestrial-satellite networks (lTSNs) are envisioned to provide seamless broadband services through evolving terrestrial B5G/6G cellular s......
期刊： IEEE NETWORK, 2021; 35 (1)
As network data keeps getting bigger, deep learning is coming to play a key role in network design and management. Meanwhile, accurate network traffic......
