Heterogeneous federated learning: State-of-the-art and research challenges
Federated learning (FL) has drawn increasing attention owing to its potential use in large-
scale industrial applications. Existing FL works mainly focus on model homogeneous …
scale industrial applications. Existing FL works mainly focus on model homogeneous …
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 …
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 …
Pysyft: A library for easy federated learning
PySyft is an open-source multi-language library enabling secure and private machine
learning by wrap** and extending popular deep learning frameworks such as PyTorch in …
learning by wrap** and extending popular deep learning frameworks such as PyTorch in …
[HTML][HTML] Evaluating Federated Learning for intrusion detection in Internet of Things: Review and challenges
Abstract The application of Machine Learning (ML) techniques to the well-known intrusion
detection systems (IDS) is key to cope with increasingly sophisticated cybersecurity attacks …
detection systems (IDS) is key to cope with increasingly sophisticated cybersecurity attacks …
Secure and provenance enhanced internet of health things framework: A blockchain managed federated learning approach
Recent advancements in the Internet of Health Things (IoHT) have ushered in the wide
adoption of IoT devices in our daily health management. For IoHT data to be acceptable by …
adoption of IoT devices in our daily health management. For IoHT data to be acceptable by …
A secure, private, and explainable IoHT framework to support sustainable health monitoring in a smart city
Abstract Internet of Health Things (IoHT) have allowed connected health paradigm
ubiquitous. 5 G supported healthcare vertical allows IoHT to offer connected health …
ubiquitous. 5 G supported healthcare vertical allows IoHT to offer connected health …
Federated learning for the internet-of-medical-things: A survey
VK Prasad, P Bhattacharya, D Maru, S Tanwar… - Mathematics, 2022 - mdpi.com
Recently, in healthcare organizations, real-time data have been collected from connected or
implantable sensors, layered protocol stacks, lightweight communication frameworks, and …
implantable sensors, layered protocol stacks, lightweight communication frameworks, and …
Revisiting iot device identification
Internet-of-Things (IoT) devices are known to be the source of many security problems, and
as such, they would greatly benefit from automated management. This requires robustly …
as such, they would greatly benefit from automated management. This requires robustly …
[HTML][HTML] Scalable and interoperable edge-based federated learning in IoT contexts
The analysis of data coming from massively deployed Internet of Things (IoT) devices pave
the way to a myriad of intelligent applications in several vertical domains. Federated …
the way to a myriad of intelligent applications in several vertical domains. Federated …