Security and privacy for 6G: A survey on prospective technologies and challenges
Sixth-generation (6G) mobile networks will have to cope with diverse threats on a space-air-
ground integrated network environment, novel technologies, and an accessible user …
ground integrated network environment, novel technologies, and an accessible user …
Blockchain and AI technology convergence: Applications in transportation systems
The blockchain and artificial intelligence (AI) have been the focal point of innovations and
received increasing attention of the community over the last years. The blockchain …
received increasing attention of the community over the last years. The blockchain …
Survey on 6G frontiers: Trends, applications, requirements, technologies and future research
Emerging applications such as Internet of Everything, Holographic Telepresence,
collaborative robots, and space and deep-sea tourism are already highlighting the …
collaborative robots, and space and deep-sea tourism are already highlighting the …
Federated learning for 6G communications: Challenges, methods, and future directions
As the 5G communication networks are being widely deployed worldwide, both industry and
academia have started to move beyond 5G and explore 6G communications. It is generally …
academia have started to move beyond 5G and explore 6G communications. It is generally …
Secure and provenance enhanced internet of health things framework: A blockchain managed federated learning approach
Recent advancements in the Internet of Health Things (IoHT) have ushered in the wide
adoption of IoT devices in our daily health management. For IoHT data to be acceptable by …
adoption of IoT devices in our daily health management. For IoHT data to be acceptable by …
Explainable AI over the Internet of Things (IoT): Overview, state-of-the-art and future directions
SK Jagatheesaperumal, QV Pham… - IEEE Open Journal …, 2022 - ieeexplore.ieee.org
Explainable Artificial Intelligence (XAI) is transforming the field of Artificial Intelligence (AI) by
enhancing the trust of end-users in machines. As the number of connected devices keeps on …
enhancing the trust of end-users in machines. As the number of connected devices keeps on …
Towards efficient communications in federated learning: A contemporary survey
In the traditional distributed machine learning scenario, the user's private data is transmitted
between clients and a central server, which results in significant potential privacy risks. In …
between clients and a central server, which results in significant potential privacy risks. In …
Federated feature selection for horizontal federated learning in iot networks
Under horizontal federated learning (HFL) in the Internet of Things (IoT) scenarios, different
user data sets have significant similarities on the feature spaces, the final goal is to build a …
user data sets have significant similarities on the feature spaces, the final goal is to build a …
A review towards AI empowered 6G communication requirements, applications, and technologies in mobile edge computing
A Bandi - 2022 6th International Conference on Computing …, 2022 - ieeexplore.ieee.org
As we go beyond 5G and towards 6G wireless networks, artificial intelligence and machine
learning solutions will be critical for various applications that execute at the edge nodes …
learning solutions will be critical for various applications that execute at the edge nodes …
Distributed and secure federated learning for wireless computing power networks
The explosively growth of mobile applications imposes much burden on the current
computing networks. Wireless Computing Power Network (WCPN), as an emerging …
computing networks. Wireless Computing Power Network (WCPN), as an emerging …