A survey of privacy-preserving offloading methods in mobile-edge computing

T Li, X He, S Jiang, J Liu - Journal of Network and Computer Applications, 2022 - Elsevier
By moving computing resources to the network logical edge, mobile edge computing is
promising for providing low-latency computing services to mobile users, and task offloading …

AI-enabled space-air-ground integrated networks: Management and optimization

P Zhang, N Chen, S Shen, S Yu, N Kumar… - IEEE Network, 2023 - ieeexplore.ieee.org
AI-enabled Beyond 5G (B5G) and 6G technologies are promising candidates to support the
future generation Space-Air-Ground Integrated Networks (SAGINs). The highly dynamic …

Shift to 6G: Exploration on trends, vision, requirements, technologies, research, and standardization efforts

S Chavhan - Sustainable Energy Technologies and Assessments, 2022 - Elsevier
Recent technological breakthroughs and significant expansion in the number of Internet-of-
Things (IoT) devices, a new paradigm of unparalleled user experiences, dramatically …

Towards 6G hyper-connectivity: Vision, challenges, and key enabling technologies

H Lee, B Lee, H Yang, J Kim, S Kim… - Journal of …, 2023 - ieeexplore.ieee.org
Technology forecasts anticipate a new era in which massive numbers of humans, machines,
and things are connected to wireless networks to sense, process, act, and communicate with …

[HTML][HTML] Distributed artificial intelligence: Taxonomy, review, framework, and reference architecture

N Janbi, I Katib, R Mehmood - Intelligent Systems with Applications, 2023 - Elsevier
Artificial intelligence (AI) research and market have grown rapidly in the last few years, and
this trend is expected to continue with many potential advancements and innovations in this …

6G Architecture Design: from Overall, Logical and Networking Perspective

XD Duan, XY Wang, L Lu, NX Shi, C Liu… - IEEE …, 2023 - ieeexplore.ieee.org
The network architecture is crucial to shaping a new generation of cellular network. As the
foundation of the system, the architecture implies what and how the network services are …

Split Federated Learning for 6G Enabled-Networks: Requirements, Challenges and Future Directions

H Hafi, B Brik, PA Frangoudis, A Ksentini… - IEEE Access, 2024 - ieeexplore.ieee.org
Sixth-generation (6G) networks anticipate intelligently supporting a wide range of smart
services and innovative applications. Such a context urges a heavy usage of Machine …

Network for Distributed Intelligence: A Survey and Future Perspectives

C Campolo, A Iera, A Molinaro - IEEE Access, 2023 - ieeexplore.ieee.org
To keep pace with the explosive growth of Artificial Intelligence (AI) and Machine Learning
(ML)-dominated applications, distributed intelligence solutions are gaining momentum …

Federated learning-based resource management with blockchain trust assurance in smart IoT

X Fu, R Peng, W Yuan, T Ding, Z Zhang, P Yu… - Electronics, 2023 - mdpi.com
Resource management is a key issue that needs to be addressed in the future smart Internet
of Things (IoT). This paper focuses on a Federated Learning (FL)-based resource …

Large area crystalline Weyl semimetal with nano Au film based micro-fold line array for THz detector

Q Song, Y Zhou, ES Jia, JT Wang, M Zhang… - Science China …, 2023 - Springer
The advancement of 6G technology relies on the development of high-performance
terahertz detectors that can operate at room temperature. These detectors are crucial for …