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Edge AI for Internet of Energy: Challenges and perspectives
The digital landscape of the Internet of Energy (IoE) is on the brink of a revolutionary
transformation with the integration of edge Artificial Intelligence (AI). This comprehensive …
transformation with the integration of edge Artificial Intelligence (AI). This comprehensive …
5G/6G-enabled metaverse technologies: Taxonomy, applications, and open security challenges with future research directions
Internet technology has proven to be a vital contributor to many cutting-edge innovations that
have given humans access to interact virtually with objects. Until now, numerous virtual …
have given humans access to interact virtually with objects. Until now, numerous virtual …
A new privacy preservation mechanism and a gain iterative disturbance observer for multiagent systems
M Wang, H Liang, Y Pan, X **e - IEEE Transactions on Network …, 2023 - ieeexplore.ieee.org
A new privacy preservation mechanism and a gain iterative disturbance observer are
proposed for multiagent systems. The proposed privacy protection mechanism can realize …
proposed for multiagent systems. The proposed privacy protection mechanism can realize …
A privacy-preserving federated learning for multiparty data sharing in social IoTs
As 5G and mobile computing are growing rapidly, deep learning services in the Social
Computing and Social Internet of Things (IoT) have enriched our lives over the past few …
Computing and Social Internet of Things (IoT) have enriched our lives over the past few …
Optimal privacy preservation strategies with signaling Q-learning for edge-computing-based IoT resource grant systems
S Shen, X Wu, P Sun, H Zhou, Z Wu, S Yu - Expert Systems with …, 2023 - Elsevier
Data privacy leakage can be severe when a malicious Internet of Things (IoT) node sends
requests to gather private data from an edge-computing-based IoT cloud storage system …
requests to gather private data from an edge-computing-based IoT cloud storage system …
Blockchain-enabled secure and trusted federated data sharing in IIoT
Federated learning breaks down data silos and promotes the intelligence of the Industrial
Internet of Things (IIoT). However, the principal–agent architecture commonly used in …
Internet of Things (IIoT). However, the principal–agent architecture commonly used in …
A systematic review on machine learning and deep learning models for electronic information security in mobile networks
Today's advancements in wireless communication technologies have resulted in a
tremendous volume of data being generated. Most of our information is part of a widespread …
tremendous volume of data being generated. Most of our information is part of a widespread …
[HTML][HTML] Evolutionary privacy-preserving learning strategies for edge-based IoT data sharing schemes
The fast proliferation of edge devices for the Internet of Things (IoT) has led to massive
volumes of data explosion. The generated data is collected and shared using edge-based …
volumes of data explosion. The generated data is collected and shared using edge-based …
A blockchain-based machine learning framework for edge services in IIoT
Edge services provide an effective and superior means of real-time transmissions and rapid
processing of information in the Industrial Internet of Things (IIoT). However, the continuous …
processing of information in the Industrial Internet of Things (IIoT). However, the continuous …
Management and orchestration of edge computing for IoT: A comprehensive survey
With the development of telecommunication technologies and the proliferation of network
applications in the past decades, the traditional cloud network architecture becomes unable …
applications in the past decades, the traditional cloud network architecture becomes unable …