Federated learning review: Fundamentals, enabling technologies, and future applications
S Banabilah, M Aloqaily, E Alsayed, N Malik… - Information processing & …, 2022 - Elsevier
Federated Learning (FL) has been foundational in improving the performance of a wide
range of applications since it was first introduced by Google. Some of the most prominent …
range of applications since it was first introduced by Google. Some of the most prominent …
Edge computing with artificial intelligence: A machine learning perspective
Recent years have witnessed the widespread popularity of Internet of things (IoT). By
providing sufficient data for model training and inference, IoT has promoted the development …
providing sufficient data for model training and inference, IoT has promoted the development …
Recent advances on federated learning for cybersecurity and cybersecurity for federated learning for internet of things
Decentralized paradigm in the field of cybersecurity and machine learning (ML) for the
emerging Internet of Things (IoT) has gained a lot of attention from the government …
emerging Internet of Things (IoT) has gained a lot of attention from the government …
Federated learning: A survey on enabling technologies, protocols, and applications
This paper provides a comprehensive study of Federated Learning (FL) with an emphasis
on enabling software and hardware platforms, protocols, real-life applications and use …
on enabling software and hardware platforms, protocols, real-life applications and use …
[HTML][HTML] Asynchronous federated learning on heterogeneous devices: A survey
Federated learning (FL) is a kind of distributed machine learning framework, where the
global model is generated on the centralized aggregation server based on the parameters of …
global model is generated on the centralized aggregation server based on the parameters of …
[HTML][HTML] Federated learning-based AI approaches in smart healthcare: concepts, taxonomies, challenges and open issues
Abstract Federated Learning (FL), Artificial Intelligence (AI), and Explainable Artificial
Intelligence (XAI) are the most trending and exciting technology in the intelligent healthcare …
Intelligence (XAI) are the most trending and exciting technology in the intelligent healthcare …
Blockchain-federated-learning and deep learning models for covid-19 detection using ct imaging
With the increase of COVID-19 cases worldwide, an effective way is required to diagnose
COVID-19 patients. The primary problem in diagnosing COVID-19 patients is the shortage …
COVID-19 patients. The primary problem in diagnosing COVID-19 patients is the shortage …
Federated learning for intrusion detection system: Concepts, challenges and future directions
The rapid development of the Internet and smart devices trigger surge in network traffic
making its infrastructure more complex and heterogeneous. The predominated usage of …
making its infrastructure more complex and heterogeneous. The predominated usage of …
Federated-learning based privacy preservation and fraud-enabled blockchain IoMT system for healthcare
These days, the usage of machine-learning-enabled dynamic Internet of Medical Things
(IoMT) systems with multiple technologies for digital healthcare applications has been …
(IoMT) systems with multiple technologies for digital healthcare applications has been …
Federated learning for vehicular internet of things: Recent advances and open issues
Federated learning (FL) is a distributed machine learning approach that can achieve the
purpose of collaborative learning from a large amount of data that belong to different parties …
purpose of collaborative learning from a large amount of data that belong to different parties …