Data and Model Poisoning Backdoor Attacks on Wireless Federated Learning, and the Defense Mechanisms: A Comprehensive Survey
Due to the greatly improved capabilities of devices, massive data, and increasing concern
about data privacy, Federated Learning (FL) has been increasingly considered for …
about data privacy, Federated Learning (FL) has been increasingly considered for …
[HTML][HTML] Over-the-air federated learning: Status quo, open challenges, and future directions
The development of applications based on artificial intelligence and implemented over
wireless networks is increasingly rapidly and is expected to grow dramatically in the future …
wireless networks is increasingly rapidly and is expected to grow dramatically in the future …
Deep reinforcement learning-driven reconfigurable intelligent surface-assisted radio surveillance with a fixed-wing UAV
Unmanned aerial vehicles (UAVs) play a critical role in radio surveillance to decipher
malicious messages, thanks to their flexibility, mobility, and likely line-of-sight (LoS) to …
malicious messages, thanks to their flexibility, mobility, and likely line-of-sight (LoS) to …
RIS-assisted jamming rejection and path planning for UAV-borne IoT platform: A new deep reinforcement learning framework
This article presents a new deep reinforcement learning (DRL)-based approach to the
trajectory planning and jamming rejection of an unmanned aerial vehicle (UAV) for the …
trajectory planning and jamming rejection of an unmanned aerial vehicle (UAV) for the …
Learning to solve optimization problems with hard linear constraints
Constrained optimization problems have appeared in a wide variety of challenging real-
world problems, where constraints often capture the physics of the underlying system …
world problems, where constraints often capture the physics of the underlying system …
Performance optimization for variable bitwidth federated learning in wireless networks
This paper considers improving wireless communication and computation efficiency in
federated learning (FL) via model quantization. In the proposed bitwidth FL scheme, edge …
federated learning (FL) via model quantization. In the proposed bitwidth FL scheme, edge …
Secure communication with UAV-enabled aerial RIS: Learning trajectory with reflection optimization
Reconfigurable intelligent surfaces (RISs) have manifested huge potential in enhancing
information security by actively intervening the wireless propagation, yet the security gain …
information security by actively intervening the wireless propagation, yet the security gain …
OFDMA-F2L: Federated Learning With Flexible Aggregation Over an OFDMA Air Interface
Federated learning (FL) can suffer from communication bottlenecks when deployed in
mobile networks, limiting participating clients and deterring FL convergence. In this context …
mobile networks, limiting participating clients and deterring FL convergence. In this context …
Measuring EMF and Throughput Before and After 5G Service Activation in a Residential Area
L Chiaraviglio, S Bartoletti… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
The deployment of 5G networks is approaching a mature phase in many countries across
the world. However, little efforts have been done so far to scientifically compare …
the world. However, little efforts have been done so far to scientifically compare …
RIS-Assisted Physical Layer Security in Emerging RF and Optical Wireless Communication Systems: A Comprehensive Survey
Physical layer security (PLS) has received a growing interest from the research community
for its ability to safeguard data confidentiality without relying on key distribution or …
for its ability to safeguard data confidentiality without relying on key distribution or …