[HTML][HTML] Federated reinforcement learning in iot: Applications, opportunities and open challenges
The internet of things (IoT) represents a disruptive concept that has been changing society in
several ways. There have been several successful applications of IoT in the industry. For …
several ways. There have been several successful applications of IoT in the industry. For …
Blockchain-Enabled Federated Learning for Enhanced Collaborative Intrusion Detection in Vehicular Edge Computing
Intelligent Transportation Systems (ITSs) are transforming the global monitoring of road
safety. These systems, including vehicular networks and transportation infrastructure, are …
safety. These systems, including vehicular networks and transportation infrastructure, are …
Deep Reinforcement Learning-Based Adaptive Computation Offloading and Power Allocation in Vehicular Edge Computing Networks
B Qiu, Y Wang, H Xiao, Z Zhang - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
As a novel paradigm, Vehicular Edge Computing (VEC) can effectively support computation-
intensive or delay-sensitive applications in the Internet of Vehicles era. Computation …
intensive or delay-sensitive applications in the Internet of Vehicles era. Computation …
1-D Convolutional Neural Network-Based Models for Cooperative Spectrum Sensing
Spectrum sensing is an essential function of cognitive radio technology that can enable the
reuse of available radio resources by so-called secondary users without creating harmful …
reuse of available radio resources by so-called secondary users without creating harmful …