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 …
A survey on the use of blockchain for future 6G: Technical aspects, use cases, challenges and research directions
While 5G is at the early deployment state around the globe, the research and industrial
communities have already started concentrating their efforts on formulating the overall 6G …
communities have already started concentrating their efforts on formulating the overall 6G …
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 cybersecurity: Concepts, challenges, and future directions
M Alazab, SP RM, M Parimala… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
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 …
UAV-enabled covert federated learning
Integrating unmanned aerial vehicles (UAVs) with federated learning (FL) has been seen as
a promising paradigm for dealing with the massive amounts of data generated by intelligent …
a promising paradigm for dealing with the massive amounts of data generated by intelligent …
Hierarchical aerial computing for Internet of Things via cooperation of HAPs and UAVs
With the explosive increment of computation requirements, the multiaccess edge computing
(MEC) paradigm appears as an effective mechanism. Besides, as for the Internet of Things …
(MEC) paradigm appears as an effective mechanism. Besides, as for the Internet of Things …
Energy-efficient federated learning over UAV-enabled wireless powered communications
Since the invention in 2016, federated learning (FL) has been a key concept of artificial
intelligence, in which the data of FL users needs not to be uploaded to the central server …
intelligence, in which the data of FL users needs not to be uploaded to the central server …
Drones' edge intelligence over smart environments in B5G: Blockchain and federated learning synergy
Edge Intelligence is an emerging technology which has attracted significant attention. It
applies Artificial Intelligence (AI) closer to the network edge for supporting Beyond fifth …
applies Artificial Intelligence (AI) closer to the network edge for supporting Beyond fifth …
Fusion of federated learning and industrial Internet of Things: A survey
Abstract Industrial Internet of Things (IIoT) lays a new paradigm for the concept of Industry
4.0 and paves an insight for new industrial era. Nowadays smart machines and smart …
4.0 and paves an insight for new industrial era. Nowadays smart machines and smart …
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 …