Privacy-Preserving Data-Driven Learning Models for Emerging Communication Networks: A Comprehensive Survey
With the proliferation of Beyond 5G (B5G) communication systems and heterogeneous
networks, mobile broadband users are generating massive volumes of data that undergo …
networks, mobile broadband users are generating massive volumes of data that undergo …
A Contemporary Survey of Recent Advances in Federated Learning: Taxonomies, Applications, and Challenges
Abstract The Internet of Things (IoT) has embedded itself in our daily lives, offering smart
services and AI-driven applications. However, traditional AI methods face challenges due to …
services and AI-driven applications. However, traditional AI methods face challenges due to …
Communication-efficient and privacy-preserving federated learning via joint knowledge distillation and differential privacy in bandwidth-constrained networks
The development of high-quality deep learning models demands the transfer of user data
from edge devices, where it originates, to centralized servers. This central training approach …
from edge devices, where it originates, to centralized servers. This central training approach …
[HTML][HTML] FedBeam: Reliable Incentive Mechanisms for Federated Learning in UAV-Enabled Internet of Vehicles
Unmanned aerial vehicles (UAVs) can be utilized as airborne base stations to deliver
wireless communication and federated learning (FL) training services for ground vehicles …
wireless communication and federated learning (FL) training services for ground vehicles …
Privacy-Preserving and Revocable Redactable Blockchains With Expressive Policies in IoT
With integrity and traceability, blockchains have been widely applied in Internet of Things
(IoT) systems. However, immutable blockchains contradict recent data regulations (eg, the …
(IoT) systems. However, immutable blockchains contradict recent data regulations (eg, the …
Prototype‐Based Collaborative Learning in UAV‐Assisted Edge Computing Networks
Context The rise of artificial intelligence of things (AloT) has enabled smart cities and
industries, and UAV‐assisted edge computing networks are an important technology to …
industries, and UAV‐assisted edge computing networks are an important technology to …
Open-Set Radar Emitter Recognition via Deep Metric Auto-Encoder
In the noncooperative electromagnetic environment, new radar emitters will emerge
unexpectedly during the test phase, which brings the “open-set” radar emitter recognition …
unexpectedly during the test phase, which brings the “open-set” radar emitter recognition …
A dynamic analysis of UAV-based IoT networks for efficient communication by using falcon optimization approach
Abstract Unmanned Aerial Vehicles (UAVs) play a pivotal role in Internet of Things (IoT)
applications by sensing data, conducting continuous surveillance, and maintaining …
applications by sensing data, conducting continuous surveillance, and maintaining …
A Robust Federated Learning Approach for Combating Attacks Against IoT Systems Under Non-IID Challenges
In the context of the growing proliferation of user devices and the concurrent surge in data
volumes, the complex-ities arising from the substantial increase in data have posed …
volumes, the complex-ities arising from the substantial increase in data have posed …
Combating Malware Traffic in Emerging Networks: A Collaborative Learning Approach
Identifying and mitigating malicious traffic poses a major challenge in the evolving field of
network security. As threat profiles rapidly evolve, dynamic and adaptive methods are …
network security. As threat profiles rapidly evolve, dynamic and adaptive methods are …