Edge-native intelligence for 6G communications driven by federated learning: A survey of trends and challenges
New technological advancements in wireless networks have enlarged the number of
connected devices. The unprecedented surge of data volume in wireless systems
empowered by artificial intelligence (AI) opens up new horizons for providing ubiquitous
data-driven intelligent services. Traditional cloud-centric machine learning (ML)-based
services are implemented by centrally collecting datasets and training models. However, this
conventional training technique encompasses two challenges:(i) high communication and …
connected devices. The unprecedented surge of data volume in wireless systems
empowered by artificial intelligence (AI) opens up new horizons for providing ubiquitous
data-driven intelligent services. Traditional cloud-centric machine learning (ML)-based
services are implemented by centrally collecting datasets and training models. However, this
conventional training technique encompasses two challenges:(i) high communication and …
[引用][C] Edge-native intelligence for 6G communications driven by federated learning: A survey of trends and challenges. arXiv 2021
M Al-Quraan, L Mohjazi, L Bariah, A Centeno, A Zoha… - arXiv preprint arXiv:2111.07392
以上显示的是最相近的搜索结果。 查看全部搜索结果