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Device Scheduling and Assignment in Hierarchical Federated Learning for Internet of Things
For scalability, practical HFL schemes select a subset of IoT devices to participate in the training, hence the notion of device scheduling.
User Assignment and Resource Allocation for Hierarchical Federated Learning over Wireless Networks
The large population of wireless users is a key driver of data-crowdsourced Machine Learning (ML).
Edge-Cloud Cooperation for DNN Inference via Reinforcement Learning and Supervised Learning
A reinforcement learning (RL)-based DNN compression approach is used to generate the lightweight model suitable for the edge from the heavyweight model.
A Comprehensive Survey of 6G Wireless Communications
First, we give an overview of 6G from perspectives of technologies, security and privacy, and applications.
Flow Rate Control in Smart District Heating Systems Using Deep Reinforcement Learning
At high latitudes, many cities adopt a centralized heating system to improve the energy generation efficiency and to reduce pollution.
Model Embedded DRL for Intelligent Greenhouse Control
Greenhouse environment is the key to influence crops production.
