Federated learning for smart cities: A comprehensive survey

S Pandya, G Srivastava, R Jhaveri, MR Babu… - Sustainable Energy …, 2023 - Elsevier
With the advent of new technologies such as the Artificial Intelligence of Things (AIoT), big
data, fog computing, and edge computing, smart city applications have suffered from issues …

[HTML][HTML] Federated learning for secure IoMT-applications in smart healthcare systems: A comprehensive review

S Rani, A Kataria, S Kumar, P Tiwari - Knowledge-based systems, 2023 - Elsevier
Recent developments in the Internet of Things (IoT) and various communication
technologies have reshaped numerous application areas. Nowadays, IoT is assimilated into …

Autonomous Vehicles in 5G and beyond: A Survey

S Hakak, TR Gadekallu, PKR Maddikunta… - Vehicular …, 2023 - Elsevier
Fifth Generation (5G) mobile technology is the latest generation of mobile networks that is
being deployed to facilitate emerging applications and services. 5G offers enhanced mobile …

Block hunter: Federated learning for cyber threat hunting in blockchain-based iiot networks

A Yazdinejad, A Dehghantanha… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Nowadays, blockchain-based technologies are being developed in various industries to
improve data security. In the context of the Industrial Internet of Things (IIoT), a chain-based …

Federated learning for intrusion detection system: Concepts, challenges and future directions

S Agrawal, S Sarkar, O Aouedi, G Yenduri… - Computer …, 2022 - Elsevier
The rapid development of the Internet and smart devices trigger surge in network traffic
making its infrastructure more complex and heterogeneous. The predominated usage of …

Review on security of federated learning and its application in healthcare

H Li, C Li, J Wang, A Yang, Z Ma, Z Zhang… - Future Generation …, 2023 - Elsevier
Artificial intelligence (AI) has led to a high rate of development in healthcare, and good
progress has been made on many complex medical problems. However, there is a lack of …

FL-PMI: federated learning-based person movement identification through wearable devices in smart healthcare systems

KS Arikumar, SB Prathiba, M Alazab, TR Gadekallu… - Sensors, 2022 - mdpi.com
Recent technological developments, such as the Internet of Things (IoT), artificial
intelligence, edge, and cloud computing, have paved the way in transforming traditional …

Privacy-preserving federated learning for internet of medical things under edge computing

R Wang, J Lai, Z Zhang, X Li… - IEEE journal of …, 2022 - ieeexplore.ieee.org
Edge intelligent computing is widely used in the fields, such as the Internet of Medical
Things (IoMT), which has advantages, including high data processing efficiency, strong real …

A comprehensive survey on federated learning techniques for healthcare informatics

K Dasaradharami Reddy… - Computational …, 2023 - Wiley Online Library
Healthcare is predominantly regarded as a crucial consideration in promoting the general
physical and mental health and well‐being of people around the world. The amount of data …

Wireless communications for data security: Efficiency assessment of cybersecurity industry—A promising application for UAVs

CN Wang, FC Yang, NTM Vo, VTT Nguyen - Drones, 2022 - mdpi.com
The design of cooperative applications combining several unmanned aerial and aquatic
vehicles is now possible thanks to the considerable advancements in wireless …