Smpc-based federated learning for 6g-enabled internet of medical things
Rapidly developing intelligent healthcare systems are underpinned by sixth generation (6G)
connectivity, the ubiquitous Internet of Things, and deep learning (DL) techniques. This …
connectivity, the ubiquitous Internet of Things, and deep learning (DL) techniques. This …
Data-agnostic model poisoning against federated learning: A graph autoencoder approach
This paper proposes a novel, data-agnostic, model poisoning attack on Federated Learning
(FL), by designing a new adversarial graph autoencoder (GAE)-based framework. The …
(FL), by designing a new adversarial graph autoencoder (GAE)-based framework. The …
Flsg: a novel defense strategy against inference attacks in vertical federated learning
As a new machine learning (ML) paradigm, federated learning (FL) empowers different
participants to jointly train a more effective model than traditional ML. Unlike horizontal FL …
participants to jointly train a more effective model than traditional ML. Unlike horizontal FL …
Security and privacy in artificial intelligence-enabled 6G
The sixth-generation (6G) mobile communication network is expected to provide world-
connected smart and autonomous services by leveraging artificial intelligence (AI) …
connected smart and autonomous services by leveraging artificial intelligence (AI) …
Achieving covertness and secrecy: The interplay between detection and eavesdropping attacks
This article explores a new secure wireless communication scenario for the data collection
in the Internet of Things (IoT) where the physical layer security technology is applied to …
in the Internet of Things (IoT) where the physical layer security technology is applied to …
A DRL-driven intelligent joint optimization strategy for computation offloading and resource allocation in ubiquitous edge IoT systems
Intelligent computation offloading and resource allocation for mobile users (MUs) in
ubiquitous edge Internet of Things (IoT) systems is a worthy research hotspot. To improve …
ubiquitous edge Internet of Things (IoT) systems is a worthy research hotspot. To improve …
A novel federated learning-based smart power and 3D trajectory control for fairness optimization in secure UAV-assisted MEC services
R Karmakar, G Kaddoum… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs)-aided mobile-edge computing (MEC) systems face
several challenges that hinder their practical implementation. First, the broadcast nature of …
several challenges that hinder their practical implementation. First, the broadcast nature of …
A covert jamming scheme against an intelligent eavesdropper in cooperative cognitive radio networks
In this work, we design a covert jamming scheme against an intelligent Eve towards physical
layer security in a cooperative cognitive radio networks. To protect the primary message …
layer security in a cooperative cognitive radio networks. To protect the primary message …
UAV Swarm-Assisted Two-Tier Hierarchical Federated Learning
Federated Learning (FL) enables the distributed machine learning (ML) without violating the
privacy of local users. In the scenario wireless FL, it is challenging for some local clients to …
privacy of local users. In the scenario wireless FL, it is challenging for some local clients to …
Simultaneous wireless information and power transfer assisted federated learning via nonorthogonal multiple access
Federated learning (FL) has been considered as a promising approach for enabling
distributed learning without sacrificing edge-devices'(EDs') data privacy. However, training …
distributed learning without sacrificing edge-devices'(EDs') data privacy. However, training …