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Federated learning for resource-constrained iot devices: Panoramas and state of the art
Nowadays, devices are equipped with advanced sensors with higher processing and
computing capabilities. Besides, widespread Internet availability enables communication …
computing capabilities. Besides, widespread Internet availability enables communication …
Critical infrastructures overview: Past, present and future
Industrialized societies depend on the proper functioning of a whole range of technological
infrastructures, such as electricity, road and railway networks and telecommunications …
infrastructures, such as electricity, road and railway networks and telecommunications …
[HTML][HTML] Leveraging asynchronous federated learning to predict customers financial distress
In recent years, as economic stability is shaking, and the unemployment rate is growing high
due to the COVID-19 effect, assigning credit scoring by predicting consumers' financial …
due to the COVID-19 effect, assigning credit scoring by predicting consumers' financial …
Federated deep learning for heterogeneous edge computing
Nowadays, there is an ever-increasing deployment of intelligent edge devices, such as
smartphones, wearable devices, and autonomous vehicles. It is enabled by the integration …
smartphones, wearable devices, and autonomous vehicles. It is enabled by the integration …
Hierarchical federated learning for edge-aided unmanned aerial vehicle networks
Federated learning (FL) allows UAVs to collaboratively train a globally shared machine
learning model while locally preserving their private data. Recently, the FL in edge-aided …
learning model while locally preserving their private data. Recently, the FL in edge-aided …
Real-time battery thermal management for electric vehicles based on deep reinforcement learning
G Huang, P Zhao, G Zhang - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
With the rapid developments of electric vehicles (EVs) in recent years, it is desirable to
improve the energy efficiency to prolong the limited life of battery and extend the cruising …
improve the energy efficiency to prolong the limited life of battery and extend the cruising …
Measuring resilience in smart infrastructures: A comprehensive review of metrics and methods
A Almaleh - Applied Sciences, 2023 - mdpi.com
In today's world, the safety, economic prosperity, and social well-being of nations depend
heavily on highly interconnected critical infrastructures. These infrastructures encompass …
heavily on highly interconnected critical infrastructures. These infrastructures encompass …
[HTML][HTML] A Novel Deep Learning Approach for Real-Time Critical Assessment in Smart Urban Infrastructure Systems
A Almaleh - Electronics, 2024 - mdpi.com
The swift advancement of communication and information technologies has transformed
urban infrastructures into smart cities. Traditional assessment methods face challenges in …
urban infrastructures into smart cities. Traditional assessment methods face challenges in …
[HTML][HTML] A proposal for a federated learning protocol for mobile and management systems
J Michalek, V Oujezsky, M Holik, V Skorpil - Applied sciences, 2023 - mdpi.com
Featured Application The proposed protocol can be applied to systems utilizing federated
learning. The design takes into account systems that necessitate both redundant and secure …
learning. The design takes into account systems that necessitate both redundant and secure …
Mobilizing personalized federated learning in infrastructure-less and heterogeneous environments via random walk stochastic ADMM
This paper explores the challenges of implementing Federated Learning (FL) in practical
scenarios featuring isolated nodes with data heterogeneity, which can only be connected to …
scenarios featuring isolated nodes with data heterogeneity, which can only be connected to …