… Since this testimony does not attempt to be comprehensive, … ’s Deep Learning Lab entered
its own artificial intelligence … that the focus on next-generation capabilities associated with the …

… It is the next generation of the internet[6]. … detection method in IoT network using
machine-learning techniques … Dynamic resource caching in the IoT application layer for smart …

… response in adapting the next-generation integrated communication networks. In order to …
networks, and adapt to the requirements of next-generation communication networks, this …

… 了基于强化学习(RL, reinforcement learning)的空天地一体化… As a case study, the method of
applying deep RL (DRL) was … 移动边缘存储(mobile edge caching)的优势,为用 户提供全天候…

… learning, as a novel pattern for distributed machine learning, is … thus has been applied in
federated learning in many scenarios … federated learning based on a comprehensive review of …

… ②(Beijing Jianyi Technology Co., Ltd, Beijing 100086, China) Abstract: As a typical
application scenario of 5G uRLLC, the data transmission delay and reliability requirements of …

… in the development of next-generation networks, more and … IPv6 data packets) in a cache
memory and use the result to … ), a comprehensive analysis of a variety of network protocols. (3) …

… thereby can achieve comprehensive deployment. Combining AI … traditional network but also
promote network application innovation… Machine learning algorithms for accurate flow-based …

… in edge computing: Cloud-Edge-Terminal architecture, and a typical application of edge
computing: edge … Two key issues of edge intelligent computing under Cloud-Edge-Terminal …

… caching for MEC-assisted IoT networks: An online learning … cloud-edge environments using
deep reinforcement learning. IEEE … learning service provisioning over mobile edge networks. …