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 …

Federated learning for internet of things: Recent advances, taxonomy, and open challenges

LU Khan, W Saad, Z Han, E Hossain… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) will be ripe for the deployment of novel machine learning
algorithm for both network and application management. However, given the presence of …

Fusion of federated learning and industrial Internet of Things: A survey

P Boobalan, SP Ramu, QV Pham, K Dev, S Pandya… - Computer Networks, 2022 - Elsevier
Abstract Industrial Internet of Things (IIoT) lays a new paradigm for the concept of Industry
4.0 and paves an insight for new industrial era. Nowadays smart machines and smart …

2D federated learning for personalized human activity recognition in cyber-physical-social systems

X Zhou, W Liang, J Ma, Z Yan, I Kevin… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The proliferation of the Internet of Things (IoT), wearable computing, and social media
technologies bring forward the realization of the so-called Cyber-Physical-Social Systems …

Edge-native intelligence for 6G communications driven by federated learning: A survey of trends and challenges

M Al-Quraan, L Mohjazi, L Bariah… - … on Emerging Topics …, 2023 - ieeexplore.ieee.org
New technological advancements in wireless networks have enlarged the number of
connected devices. The unprecedented surge of data volume in wireless systems …

BrainIoT: Brain-like productive services provisioning with federated learning in industrial IoT

H Yang, J Yuan, C Li, G Zhao, Z Sun… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The Industrial Internet of Things (IIoT) accommodates a huge number of heterogeneous
devices to bring vast services under a distributed computing scenarios. Most productive …

Fusion of federated learning and industrial internet of things: a survey

QV Pham, K Dev, PKR Maddikunta… - arXiv preprint arXiv …, 2021 - arxiv.org
Industrial Internet of Things (IIoT) lays a new paradigm for the concept of Industry 4.0 and
paves an insight for new industrial era. Nowadays smart machines and smart factories use …

Federated learning-empowered mobile network management for 5G and beyond networks: From access to core

J Lee, F Solat, TY Kim, HV Poor - … Communications Surveys & …, 2024 - ieeexplore.ieee.org
The fifth generation (5G) and beyond wireless networks are envisioned to provide an
integrated communication and computing platform that will enable multipurpose and …

Applicability of deep reinforcement learning for efficient federated learning in massive IoT communications

P Tam, R Corrado, C Eang, S Kim - Applied Sciences, 2023 - mdpi.com
To build intelligent model learning in conventional architecture, the local data are required to
be transmitted toward the cloud server, which causes heavy backhaul congestion, leakage …

Digital twin for federated analytics using a Bayesian approach

D Chen, D Wang, Y Zhu, Z Han - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
We are now in an information era and the volume of data is growing explosively. However,
due to privacy issues, it is very common that data cannot be freely shared among the data …