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 …

Internet of Things (IoT) security with blockchain technology: A state-of-the-art review

AA Khan, AA Laghari, ZA Shaikh… - IEEE …, 2022 - ieeexplore.ieee.org
With the rapid enhancement in the design and development of the Internet of Things creates
a new research interest in the adaptation in industrial domains. It is due to the impact of …

On the ICN-IoT with federated learning integration of communication: Concepts, security-privacy issues, applications, and future perspectives

A Rahman, K Hasan, D Kundu, MJ Islam… - Future Generation …, 2023 - Elsevier
The individual and integration use of the Internet of Things (IoT), Information-Centric
Networking (ICN), and Federated Learning (FL) have recently been used in several network …

Towards edge computing in intelligent manufacturing: Past, present and future

G Nain, KK Pattanaik, GK Sharma - Journal of Manufacturing Systems, 2022 - Elsevier
Abstract Industry 4.0 (I4. 0) is the fourth industrial revolution and a synonym for intelligent
manufacturing. It drives the convergence of several cutting-edge technologies to provoke …

Computational intelligence and deep learning for next-generation edge-enabled industrial IoT

S Tang, L Chen, K He, J Xia, L Fan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this paper, we investigate how to deploy computational intelligence and deep learning
(DL) in edge-enabled industrial IoT networks. In this system, the IoT devices can …

Optimizing federated learning with deep reinforcement learning for digital twin empowered industrial IoT

W Yang, W Xiang, Y Yang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The accelerated development of the Industrial Internet of Things (IIoT) is catalyzing the
digitalization of industrial production to achieve Industry 4.0. In this article, we propose a …

Ai-based mobile edge computing for iot: Applications, challenges, and future scope

A Singh, SC Satapathy, A Roy, A Gutub - Arabian Journal for Science and …, 2022 - Springer
New technology is needed to meet the latency and bandwidth issues present in cloud
computing architecture specially to support the currency of 5G networks. Accordingly, mobile …

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 …

Battery-constrained federated edge learning in UAV-enabled IoT for B5G/6G networks

S Tang, W Zhou, L Chen, L Lai, J Xia, L Fan - Physical Communication, 2021 - Elsevier
In this paper, we investigate how to optimize the federated edge learning (FEEL) in
unmanned aerial vehicle (UAV)-enabled Internet of Things (IoT) for B5G/6G networks …

DQN-based mobile edge computing for smart Internet of vehicle

L Zhang, W Zhou, J Xia, C Gao, F Zhu, C Fan… - EURASIP journal on …, 2022 - Springer
In this paper, we investigate a multiuser mobile edge computing (MEC)-aided smart Internet
of vehicle (IoV) network, where one edge server can help accomplish the intensive …