Federated learning for internet of things: Recent advances, taxonomy, and open challenges
The Internet of Things (IoT) will be ripe for the deployment of novel machine learning
algorithm for both network and application management. However, given the presence of …
algorithm for both network and application management. However, given the presence of …
Edge-native intelligence for 6G communications driven by federated learning: A survey of trends and challenges
New technological advancements in wireless networks have enlarged the number of
connected devices. The unprecedented surge of data volume in wireless systems …
connected devices. The unprecedented surge of data volume in wireless systems …
A review on federated learning towards image processing
Nowadays, data privacy is an important consideration in machine learning. This paper
provides an overview of how Federated Learning can be used to improve data security and …
provides an overview of how Federated Learning can be used to improve data security and …
Machine learning for physical layer in 5G and beyond wireless networks: A survey
Fifth-generation (5G) technology will play a vital role in future wireless networks. The
breakthrough 5G technology will unleash a massive Internet of Everything (IoE), where …
breakthrough 5G technology will unleash a massive Internet of Everything (IoE), where …
Designing a 6G testbed for location: Use cases, challenges, enablers and Requirements
Location will have a central role in Research and Development (R&D) towards 6G networks,
both as a service offered by the network (improving the current offering of 5G) and as an …
both as a service offered by the network (improving the current offering of 5G) and as an …
Tactile internet of federated things: Toward fine-grained design of FL-based architecture to meet TIoT demands
O Alnajar, A Barnawi - Computer Networks, 2023 - Elsevier
Abstract The Tactile Internet of Things (TIoT) represents a special class of the Internet of
Things (IoT) that has opened the door for a new generation of agile, highly dynamic …
Things (IoT) that has opened the door for a new generation of agile, highly dynamic …
[PDF][PDF] Study to support an impact assessment of regulatory requirements for artificial intelligence in Europe
A Renda, J Arroyo, R Fanni… - European …, 2021 - artificialintelligenceact.eu
Study supporting the impact assessment of the AI regulation Page 1 Written by: Andrea Renda
(project leader), Jane Arroyo, Rosanna Fanni, Moritz Laurer, Agnes Sipiczki, Timothy Yeung …
(project leader), Jane Arroyo, Rosanna Fanni, Moritz Laurer, Agnes Sipiczki, Timothy Yeung …
A cross-layer optimization framework for distributed computing in IoT networks
In Internet-of-Thing (IoT) networks, enormous low-power IoT devices execute latency-
sensitive yet computation intensive machine learning tasks. However, the energy is usually …
sensitive yet computation intensive machine learning tasks. However, the energy is usually …
Edge-cloud collaborative computation offloading for federated learning in smart city
With the continuous transformation and development of information technologies, the smart
city is becoming a promising paradigm to deal with the enormous network data. Among …
city is becoming a promising paradigm to deal with the enormous network data. Among …
Federated learning empowered ultra-dense next-generation wireless networks
MMY Al-Quraan - 2024 - theses.gla.ac.uk
The evolution of wireless networks, from first-generation (1G) to fifth generation (5G), has
facilitated real-time services and intelligent applications powered by artificial intelligence (AI) …
facilitated real-time services and intelligent applications powered by artificial intelligence (AI) …