[HTML][HTML] FedSDM: Federated learning based smart decision making module for ECG data in IoT integrated Edge–Fog–Cloud computing environments

SM Rajagopal, M Supriya, R Buyya - Internet of Things, 2023 - Elsevier
Massive data collection in modern systems has paved the way for data-driven machine
learning, a promising technique for creating reliable and robust statistical models. By …

Device-to-device relaying: Optimization, performance perspectives, and open challenges towards 6G networks

P Mach, Z Becvar - IEEE Communications Surveys & Tutorials, 2022 - ieeexplore.ieee.org
A relaying can significantly improve performance of contemporary mobile networks in terms
of capacity and/or energy consumption. Nevertheless, an incorporation of conventional relay …

Artificial intelligence for edge service optimization in internet of vehicles: A survey

X Xu, H Li, W Xu, Z Liu, L Yao… - Tsinghua Science and …, 2021 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) plays a crucial role in providing diversified services because of
its powerful capability of collecting real-time information. Generally, collected information is …

Secure hierarchical fog computing-based architecture for industry 5.0 using an attribute-based encryption scheme

S Rani, G Srivastava - Expert Systems with Applications, 2024 - Elsevier
Industry 5.0 is an emerging phase in the industrial field where humans and the latest
technologies work together to bring revolutionary changes to work processes. It is the future …

A game-theoretical approach for user allocation in edge computing environment

Q He, G Cui, X Zhang, F Chen, S Deng… - … on Parallel and …, 2019 - ieeexplore.ieee.org
Edge Computing provides mobile and Internet-of-Things (IoT) app vendors with a new
distributed computing paradigm which allows an app vendor to deploy its app at hired edge …

Online collaborative data caching in edge computing

X **a, F Chen, Q He, J Grundy… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In the edge computing (EC) environment, edge servers are deployed at base stations to offer
highly accessible computing and storage resources to nearby app users. From the app …

Mobility-aware computational offloading in mobile edge networks: a survey

SK Zaman, AI Jehangiri, T Maqsood, Z Ahmad… - Cluster …, 2021 - Springer
Technological evolution of mobile devices, such as smart phones, laptops, wearable and
other handheld devices have come up with the emergence of different user applications in …

Cost-effective app data distribution in edge computing

X **a, F Chen, Q He, JC Grundy… - … on Parallel and …, 2020 - ieeexplore.ieee.org
Edge computing, as an extension of cloud computing, distributes computing and storage
resources from centralized cloud to distributed edge servers, to power a variety of …

Auditing cache data integrity in the edge computing environment

B Li, Q He, F Chen, H **, Y **ang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Edge computing allows app vendors to deploy their applications and relevant data on
distributed edge servers to serve nearby users. Caching data on edge servers can minimize …

A game-theoretical approach for mitigating edge DDoS attack

Q He, C Wang, G Cui, B Li, R Zhou… - … on Dependable and …, 2021 - ieeexplore.ieee.org
Edge computing (EC) is an emerging paradigm that extends cloud computing by pushing
computing resources onto edge servers that are attached to base stations or access points …