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 …
At the confluence of artificial intelligence and edge computing in iot-based applications: A review and new perspectives
Given its advantages in low latency, fast response, context-aware services, mobility, and
privacy preservation, edge computing has emerged as the key support for intelligent …
privacy preservation, edge computing has emerged as the key support for intelligent …
Edge learning for B5G networks with distributed signal processing: Semantic communication, edge computing, and wireless sensing
To process and transfer large amounts of data in emerging wireless services, it has become
increasingly appealing to exploit distributed data communication and learning. Specifically …
increasingly appealing to exploit distributed data communication and learning. Specifically …
Federated reinforcement learning: Techniques, applications, and open challenges
This paper presents a comprehensive survey of Federated Reinforcement Learning (FRL),
an emerging and promising field in Reinforcement Learning (RL). Starting with a tutorial of …
an emerging and promising field in Reinforcement Learning (RL). Starting with a tutorial of …
Federated learning: A signal processing perspective
The dramatic success of deep learning is largely due to the availability of data. Data
samples are often acquired on edge devices, such as smartphones, vehicles, and sensors …
samples are often acquired on edge devices, such as smartphones, vehicles, and sensors …
Survey on digital twin edge networks (DITEN) toward 6G
F Tang, X Chen, TK Rodrigues… - IEEE Open Journal of …, 2022 - ieeexplore.ieee.org
The next generation (6G) wireless systems aim to cater to the Internet of Everything (IoE)
and revolutionize customer services and applications to a fully intelligent and autonomous …
and revolutionize customer services and applications to a fully intelligent and autonomous …
Level-5 autonomous driving—are we there yet? a review of research literature
Autonomous vehicles are revolutionizing transport and next-generation autonomous
mobility. Such vehicles are promising to increase road safety, improve traffic efficiency …
mobility. Such vehicles are promising to increase road safety, improve traffic efficiency …
2D federated learning for personalized human activity recognition in cyber-physical-social systems
The proliferation of the Internet of Things (IoT), wearable computing, and social media
technologies bring forward the realization of the so-called Cyber-Physical-Social Systems …
technologies bring forward the realization of the so-called Cyber-Physical-Social Systems …
Federated machine learning for privacy preserving, collective supply chain risk prediction
The use of Artificial Intelligence (AI) for predicting supply chain risk has gained popularity.
However, proposed approaches are based on the premise that organisations act alone …
However, proposed approaches are based on the premise that organisations act alone …
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 …