6G Internet of Things: A comprehensive survey
The sixth-generation (6G) wireless communication networks are envisioned to revolutionize
customer services and applications via the Internet of Things (IoT) toward a future of fully …
customer services and applications via the Internet of Things (IoT) toward a future of fully …
Federated learning for smart healthcare: A survey
Recent advances in communication technologies and the Internet-of-Medical-Things (IOMT)
have transformed smart healthcare enabled by artificial intelligence (AI). Traditionally, AI …
have transformed smart healthcare enabled by artificial intelligence (AI). Traditionally, AI …
Cellular, wide-area, and non-terrestrial IoT: A survey on 5G advances and the road toward 6G
The next wave of wireless technologies is proliferating in connecting things among
themselves as well as to humans. In the era of the Internet of Things (IoT), billions of …
themselves as well as to humans. In the era of the Internet of Things (IoT), billions of …
Federated learning for cybersecurity: concepts, challenges, and future directions
Federated learning (FL) is a recent development in artificial intelligence, which is typically
based on the concept of decentralized data. As cyberattacks are frequently happening in the …
based on the concept of decentralized data. As cyberattacks are frequently happening in the …
Blockchain and AI-based solutions to combat coronavirus (COVID-19)-like epidemics: A survey
The beginning of 2020 has seen the emergence of coronavirus outbreak caused by a novel
virus called SARS-CoV-2. The sudden explosion and uncontrolled worldwide spread of …
virus called SARS-CoV-2. The sudden explosion and uncontrolled worldwide spread of …
Federated deep learning for cyber security in the internet of things: Concepts, applications, and experimental analysis
In this article, we present a comprehensive study with an experimental analysis of federated
deep learning approaches for cyber security in the Internet of Things (IoT) applications …
deep learning approaches for cyber security in the Internet of Things (IoT) applications …
[HTML][HTML] Federated learning in edge computing: a systematic survey
Edge Computing (EC) is a new architecture that extends Cloud Computing (CC) services
closer to data sources. EC combined with Deep Learning (DL) is a promising technology …
closer to data sources. EC combined with Deep Learning (DL) is a promising technology …
Non-orthogonal multiple access assisted federated learning via wireless power transfer: A cost-efficient approach
Federated learning (FL) has been considered as a promising paradigm for enabling
distributed training/learning in many machine-learning services without revealing users' …
distributed training/learning in many machine-learning services without revealing users' …
DisCOV: distributed COVID-19 detection on X-ray images with edge-cloud collaboration
Currently, the world is experiencing the rapid spread of Coronavirus Disease 2019 (COVID-
19). Since the epidemic continues to take a devastating impact on the society, economy, and …
19). Since the epidemic continues to take a devastating impact on the society, economy, and …
[HTML][HTML] Evaluating Federated Learning for intrusion detection in Internet of Things: Review and challenges
EM Campos, PF Saura, A González-Vidal… - Computer Networks, 2022 - Elsevier
Abstract The application of Machine Learning (ML) techniques to the well-known intrusion
detection systems (IDS) is key to cope with increasingly sophisticated cybersecurity attacks …
detection systems (IDS) is key to cope with increasingly sophisticated cybersecurity attacks …