Improving autonomous vehicles safety in snow weather using federated YOLO CNN learning
Accurate object detection (eg, buildings, vehicles, road signs and pedestrians) is essential to
the success of the idea of autonomous and self-driving cars. Various object detection …
the success of the idea of autonomous and self-driving cars. Various object detection …
High-precision cluster federated learning for smart home: An edge-cloud collaboration approach
Owing to the strong protection of data privacy, federated learning (FL) has become a key
method to achieve intelligent decision making in smart homes. However, under realistic …
method to achieve intelligent decision making in smart homes. However, under realistic …
Independent and identically distributed (IID) data assessment in federated learning
Federated learning extends the centralized machine learning architecture by enabling data
privacy for its providers. The distributed structure of the emerged federated architecture …
privacy for its providers. The distributed structure of the emerged federated architecture …
[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 …
Wrist-based electrodermal activity monitoring for stress detection using federated learning
With the most recent developments in wearable technology, the possibility of continually
monitoring stress using various physiological factors has attracted much attention. By …
monitoring stress using various physiological factors has attracted much attention. By …
Security and privacy in artificial intelligence-enabled 6G
The sixth-generation (6G) mobile communication network is expected to provide world-
connected smart and autonomous services by leveraging artificial intelligence (AI) …
connected smart and autonomous services by leveraging artificial intelligence (AI) …
Adaptive upgrade of client resources for improving the quality of federated learning model
S AbdulRahman, H Ould-Slimane… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Conventional systems are usually constrained to store data in a centralized location. This
restriction has either precluded sensitive data from being shared or put its privacy on the …
restriction has either precluded sensitive data from being shared or put its privacy on the …
A survey of federated learning from data perspective in the healthcare domain: Challenges, methods, and future directions
Recent advances in deep learning (DL) have shown that data-driven insights can be used in
smart healthcare applications to improve the quality of life for patients. DL needs more data …
smart healthcare applications to improve the quality of life for patients. DL needs more data …
Federated learning-based cell-free massive MIMO system for privacy-preserving
Cell-free massive MIMO (CF mMIMO) is a promising next generation wireless architecture to
realize federated learning (FL). However, sensitive information of user equipments (UEs) …
realize federated learning (FL). However, sensitive information of user equipments (UEs) …
A survey on blockchain-based federated learning
L Wu, W Ruan, J Hu, Y He - Future Internet, 2023 - mdpi.com
Federated learning (FL) and blockchains exhibit significant commonality, complementarity,
and alignment in various aspects, such as application domains, architectural features, and …
and alignment in various aspects, such as application domains, architectural features, and …