Delay Minimization of Federated Learning Over Wireless Powered Communication Networks
In this letter, we study distributed federated learning (FL) in wireless powered
communication networks (WPCNs). The proposed system model ensures data privacy and …
communication networks (WPCNs). The proposed system model ensures data privacy and …
Over-the-air federated learning under Byzantine attacks
Federated learning (FL) is a promising solution to enable many AI applications, where
sensitive datasets from distributed clients are needed for collaboratively training a global …
sensitive datasets from distributed clients are needed for collaboratively training a global …
Efficient wireless federated learning with partial model aggregation
The data heterogeneity across clients and the limited communication resources, eg,
bandwidth and energy, are two of the main bottlenecks for wireless federated learning (FL) …
bandwidth and energy, are two of the main bottlenecks for wireless federated learning (FL) …
High level Petri nets‐based proposal of an integrated intrusion detection and prevention mechanism in network controlled systems
K Farah, K Chabir, MN Abdelkrim - IET Communications, 2023 - Wiley Online Library
The authors' work deals with modelling with coloured Petri nets (CPN) of network controlled
systems (NCS) and exposes a proposal of a sensor fault detection and prevention …
systems (NCS) and exposes a proposal of a sensor fault detection and prevention …
Fedprem: A novel federated reinforcement learning framework for predictive maintenance
The advent of Industry 4.0 has resulted in a significant increase in data availability, leading
to the development and deployment of data-driven models for predicting the Remaining …
to the development and deployment of data-driven models for predicting the Remaining …
Federated learning and artificial intelligence in e-healthcare
M Gupta, P Sharma, R Kalra - … Learning and AI for Healthcare 5.0, 2024 - igi-global.com
Federated Learning (FL), a novel distributed interactive AI paradigm, holds particular
promise for smart healthcare since it enables many clients including hospitals to take part in …
promise for smart healthcare since it enables many clients including hospitals to take part in …
Energy-Efficient Semantic Communication for Aerial-Aided Edge Networks
Semantic communication holds promise for integration into future wireless networks, offering
a potential enhancement in network spectrum efficiency. However, implementing semantic …
a potential enhancement in network spectrum efficiency. However, implementing semantic …
Federated Learning for RIS-Assisted UAV-Enabled Wireless Networks: Learning-Based Optimization for UAV Trajectory, RIS Phase Shifts and Weighted Aggregation
This paper investigates a learning-based approach autonomously and jointly optimizing the
trajectory of unmanned aerial vehicle (UAV), phase shifts of reconfigurable intelligent …
trajectory of unmanned aerial vehicle (UAV), phase shifts of reconfigurable intelligent …
Federated Generative-Adversarial-Network-Enabled Channel Estimation
Accurately estimating channel state information is essential for meeting the quality-of-service
requirements of modern applications and scenarios. Deep learning techniques have proven …
requirements of modern applications and scenarios. Deep learning techniques have proven …
A Survey On Federated Learning for Reconfigurable Intelligent Metasurfaces-Aided Wireless Networks
SK Das, B Champagne… - IEEE Open Journal of …, 2024 - ieeexplore.ieee.org
Wireless networks are increasingly relying on machine learning (ML) paradigms to provide
various services at the user level. Yet, it remains impractical for users to offload their …
various services at the user level. Yet, it remains impractical for users to offload their …