Cross-Level Dependability Assessment With a Distributed Split Mechanism for Wireless Communication Systems

D Sun, J Zhao, B Chen, H Wu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Wireless techniques are playing an increasingly important role in the Industrial Internet of
Things. However, the dependability of wireless communication systems is challenged facing …

Key Enabling Mechanisms for Mission-Critical Internet of Things

MA Raza - 2023 - opus.lib.uts.edu.au
Internet-of-Things (IoT) networks are composed of devices generating varying amounts of
data with diverse quality of service (QoS) requirements. Mission-critical IoT networks aim to …

New Graph Learning Techniques for Networked Knowledge Inference and Protection

B Shan - 2024 - opus.lib.uts.edu.au
Graph topologies have been detected in data captured in social networks, biological
networks, traffic networks, smart grids, and ecological networks. Graphs provide effective …

Communication-Computation Efficient Federated Learning over Wireless Networks

A Mahmoudi - 2023 - diva-portal.org
With the introduction of the Internet of Things (IoT) and 5G cellular networks, edge
computing will substantially alleviate the quality of service shortcomings of cloud computing …

Distributed Deep Learning in An Edge Computing System

T Sen, H Shen, Z Mehrab - … Conference on Mobile Ad Hoc and …, 2022 - ieeexplore.ieee.org
In many scenarios (eg, hurricanes, earthquake, rural areas), edge devices cannot access
the cloud, which makes the cloud deep learning (DL) training approach inapplicable …

Decentralized Alternating Direction Method of Multipliers for Constrained Optimization over Directed Networks

J Yan, X Shi, L Guo, Y Wan - Chinese Conference on Swarm Intelligence …, 2023 - Springer
In this paper, we consider the decentralized constrained optimization problem in which the
objective is to minimize the sum of convex functions subject to equality and set constraints …

Machine learning-based diagnostics and observability in mobile networks

T Sundqvist - 2023 - diva-portal.org
To meet the high-performance and reliability demands of 5G, the Radio Access Network
(RAN) is moving to a cloud-native architecture. The new microservice architecture promises …

Mitigando o impacto de dados non-IID em federated learning com entropia

FC Orlandi - 2023 - lume.ufrgs.br
Algoritmos de Machine Learning (ML) possibilitam processar um conjunto de dados de
entradas para gerar coeficientes que ajustem a saída a um resultado previamente …

Design and analysis of microstrip antenna with frequency selective surface superstrate

MMSK Al-Qutbi - 2023 - openaccess.altinbas.edu.tr
Recently, wireless communications have significantly advanced in our daily lives,
particularly in terms of our ability to perform tasks and communicate without a physical …

[PDF][PDF] Communication-Computation Efficient Federated Learning over Wireless Networks

AM BENHANGI - 2023 - diva-portal.org
With the introduction of the Internet of Things (IoT) and 5G cellular networks, edge
computing will substantially alleviate the quality of service shortcomings of cloud computing …