The metaverse: Survey, trends, novel pipeline ecosystem & future directions

H Sami, A Hammoud, M Arafeh… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
The Metaverse offers a second world beyond reality, where boundaries are non-existent,
and possibilities are endless through engagement and immersive experiences using the …

State-of-the-art load balancing algorithms for mist-fog-cloud assisted paradigm: a review and future directions

SS Tripathy, K Mishra, DS Roy, K Yadav… - … Methods in Engineering, 2023 - Springer
The rapid growth of IoT devices leads to increasing requests. These tremendous requests
cannot be processed by IoT devices due to the computational power of IoT devices and the …

Delay-sensitive task offloading in vehicular fog computing-assisted platoons

Q Wu, S Wang, H Ge, P Fan, Q Fan… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Vehicles in platoons need to process many tasks to support various real-time vehicular
applications. When a task arrives at a vehicle, the vehicle may not process the task due to its …

Federated learning for the healthcare metaverse: Concepts, applications, challenges, and future directions

AK Bashir, N Victor, S Bhattacharya… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Recent technological advancements have considerably improved healthcare systems to
provide various intelligent services, improving life quality. The Metaverse, often described as …

Relay-assisted federated edge learning: performance analysis and system optimization

L Chen, L Fan, X Lei, TQ Duong… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In this paper, we study a relay-assisted federated edge learning (FEEL) network under
latency and bandwidth constraints. In this network, users collaboratively train a global model …

Deep federated learning-based threat detection model for extreme satellite communications

S Salim, N Moustafa, M Hassanian… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Satellite communications (Satcoms), whether ground-to-space or intersatellite, have, to date,
primarily combined the two cutting-edge fields of communication and space, in which …

ModularFed: Leveraging modularity in federated learning frameworks

M Arafeh, H Otrok, H Ould-Slimane, A Mourad, C Talhi… - internet of Things, 2023 - Elsevier
Numerous research recently proposed integrating Federated Learning (FL) to address the
privacy concerns of using machine learning in privacy-sensitive firms. However, the …

Data independent warmup scheme for non-IID federated learning

M Arafeh, H Ould-Slimane, H Otrok, A Mourad… - Information …, 2023 - Elsevier
Abstract Machine Learning's influence increases daily, and its application prevails in
different, critical, and life-changing fields. However, collecting the needed data is …

Machine learning algorithms for smart and intelligent healthcare system in Society 5.0

IF Zamzami, K Pathoee, BB Gupta… - … Journal of Intelligent …, 2022 - Wiley Online Library
The pandemic has shown us that it is quite important to keep track record our health digitally.
And at the same time, it also showed us the great potential of Instruments like wearable …

Fed-TSN: Joint failure probability-based federated learning for fault-tolerant time-sensitive networks

V Balasubramanian, M Aloqaily… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Industrial Internet of Things (IIoT) applications have diverse network session requirements.
Certain critical applications, such as emergency alert relays, as well as industrial floor …