Recent advances on federated learning for cybersecurity and cybersecurity for federated learning for internet of things
Decentralized paradigm in the field of cybersecurity and machine learning (ML) for the
emerging Internet of Things (IoT) has gained a lot of attention from the government …
emerging Internet of Things (IoT) has gained a lot of attention from the government …
Federated learning for internet of things: A comprehensive survey
The Internet of Things (IoT) is penetrating many facets of our daily life with the proliferation of
intelligent services and applications empowered by artificial intelligence (AI). Traditionally …
intelligent services and applications empowered by artificial intelligence (AI). Traditionally …
Artificial intelligence and blockchain integration in business: trends from a bibliometric-content analysis
Artificial intelligence (AI) and blockchain are the two disruptive technologies emerging from
the Fourth Industrial Revolution (IR4. 0) that have introduced radical shifts in the industry …
the Fourth Industrial Revolution (IR4. 0) that have introduced radical shifts in the industry …
A survey on intelligent Internet of Things: Applications, security, privacy, and future directions
The rapid advances in the Internet of Things (IoT) have promoted a revolution in
communication technology and offered various customer services. Artificial intelligence (AI) …
communication technology and offered various customer services. Artificial intelligence (AI) …
Federated learning meets blockchain in edge computing: Opportunities and challenges
Mobile-edge computing (MEC) has been envisioned as a promising paradigm to handle the
massive volume of data generated from ubiquitous mobile devices for enabling intelligent …
massive volume of data generated from ubiquitous mobile devices for enabling intelligent …
PPSF: A privacy-preserving and secure framework using blockchain-based machine-learning for IoT-driven smart cities
With the evolution of the Internet of Things (IoT), smart cities have become the mainstream of
urbanization. IoT networks allow distributed smart devices to collect and process data within …
urbanization. IoT networks allow distributed smart devices to collect and process data within …
Splitfed: When federated learning meets split learning
Federated learning (FL) and split learning (SL) are two popular distributed machine learning
approaches. Both follow a model-to-data scenario; clients train and test machine learning …
approaches. Both follow a model-to-data scenario; clients train and test machine learning …
Privacy-preserving blockchain-based federated learning for traffic flow prediction
Y Qi, MS Hossain, J Nie, X Li - Future Generation Computer Systems, 2021 - Elsevier
As accurate and timely traffic flow information is extremely important for traffic management,
traffic flow prediction has become a vital component of intelligent transportation systems …
traffic flow prediction has become a vital component of intelligent transportation systems …
A systematic review of human–computer interaction and explainable artificial intelligence in healthcare with artificial intelligence techniques
Artificial intelligence (AI) is one of the emerging technologies. In recent decades, artificial
intelligence (AI) has gained widespread acceptance in a variety of fields, including virtual …
intelligence (AI) has gained widespread acceptance in a variety of fields, including virtual …
Convergence of blockchain and edge computing for secure and scalable IIoT critical infrastructures in industry 4.0
Critical infrastructure systems are vital to underpin the functioning of a society and economy.
Due to the ever-increasing number of Internet-connected Internet-of-Things (IoT)/Industrial …
Due to the ever-increasing number of Internet-connected Internet-of-Things (IoT)/Industrial …