The advents of ubiquitous computing in the development of smart cities—A review on the internet of things (IoT)

J Ali, MH Zafar, C Hewage, SR Hassan, R Asif - Electronics, 2023 - mdpi.com
By leveraging ubiquitous computing and the Internet of Things (IoT), smart cities gain
potential to provide a wider range of services. Different homogeneous and heterogeneous …

Personalized online federated learning for IoT/CPS: Challenges and future directions

VC Gogineni, S Werner, F Gauthier… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
In recent years, federated learning (FL) has emerged as a powerful paradigm for distributed
learning thanks to its privacy-preserving capabilities. With the use of FL, a network of edge …

In-edge ai: Intelligentizing mobile edge computing, caching and communication by federated learning

X Wang, Y Han, C Wang, Q Zhao, X Chen… - Ieee …, 2019 - ieeexplore.ieee.org
Recently, along with the rapid development of mobile communication technology, edge
computing theory and techniques have been attracting more and more attention from global …

A step toward next-generation advancements in the internet of things technologies

F Amin, R Abbasi, A Mateen, M Ali Abid, S Khan - Sensors, 2022 - mdpi.com
The Internet of Things (IoT) devices generate a large amount of data over networks;
therefore, the efficiency, complexity, interfaces, dynamics, robustness, and interaction need …

Federated learning and next generation wireless communications: A survey on bidirectional relationship

D Shome, O Waqar, WU Khan - Transactions on Emerging …, 2022 - Wiley Online Library
In order to meet the extremely heterogeneous requirements of the next generation wireless
communication networks, research community is increasingly dependent on using machine …

Intelligent resource management at the edge for ubiquitous IoT: An SDN-based federated learning approach

V Balasubramanian, M Aloqaily, M Reisslein… - IEEE …, 2021 - ieeexplore.ieee.org
The ubiquitous nature of Internet of Things (IoT) devices has posited many challenges that
need innovative solutions in the 5G era. Software defined networks (SDNs) are becoming …

Machine intelligence techniques for next-generation context-aware wireless networks

TE Bogale, X Wang, LB Le - arXiv preprint arXiv:1801.04223, 2018 - arxiv.org
The next generation wireless networks (ie 5G and beyond), which would be extremely
dynamic and complex due to the ultra-dense deployment of heterogeneous networks …

[PDF][PDF] EdgeAI: A vision for distributed, edge-native artificial intelligence in future 6G networks

L Lovén, T Leppänen, E Peltonen, J Partala… - 6G Wireless Summit …, 2019 - oulurepo.oulu.fi
Edge computing, a key part of the upcoming 5G mobile networks and future 6G
technologies, promises to distribute cloud applications while providing more bandwidth and …

A joint decentralized federated learning and communications framework for industrial networks

S Savazzi, S Kianoush, V Rampa… - 2020 IEEE 25th …, 2020 - ieeexplore.ieee.org
Industrial wireless networks are pushing towards distributed architectures moving beyond
traditional server-client transactions. Paired with this trend, new synergies are emerging …

Enabling AI in future wireless networks: A data life cycle perspective

DC Nguyen, P Cheng, M Ding… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Recent years have seen rapid deployment of mobile computing and Internet of Things (IoT)
networks, which can be mostly attributed to the increasing communication and sensing …