[HTML][HTML] Federated reinforcement learning in IoT: applications, opportunities and open challenges
The internet of things (IoT) represents a disruptive concept that has been changing society in
several ways. There have been several successful applications of IoT in the industry. For …
several ways. There have been several successful applications of IoT in the industry. For …
[HTML][HTML] Reward-based participant selection for improving federated reinforcement learning
W Lee - ICT Express, 2023 - Elsevier
Federated reinforcement learning (FRL) has recently received a lot of attention in various
fields. In FRL systems, the concept of performing more proper actions with better …
fields. In FRL systems, the concept of performing more proper actions with better …
Federated learning for green and sustainable 6G IIoT applications
The 6th generation mobile network (6G) is expected to be launched in the early 2030s. The
architecture of 6G will be the convergence of space, air, ground, and undersea networks …
architecture of 6G will be the convergence of space, air, ground, and undersea networks …
Reinforcement learning algorithms: An overview and classification
F AlMahamid, K Grolinger - 2021 IEEE Canadian Conference …, 2021 - ieeexplore.ieee.org
The desire to make applications and machines more intelligent and the aspiration to enable
their operation without human interaction have been driving innovations in neural networks …
their operation without human interaction have been driving innovations in neural networks …
Deep reinforcement learning for Internet of Things: A comprehensive survey
The incumbent Internet of Things suffers from poor scalability and elasticity exhibiting in
communication, computing, caching and control (4Cs) problems. The recent advances in …
communication, computing, caching and control (4Cs) problems. The recent advances in …
Reinforcement learning for intelligent healthcare systems: A review of challenges, applications, and open research issues
The rise of chronic disease patients and the pandemic pose immediate threats to healthcare
expenditure and mortality rates. This calls for transforming healthcare systems away from …
expenditure and mortality rates. This calls for transforming healthcare systems away from …
Federated learning for internet of things: A comprehensive survey
The Internet of Things (IoT) is penetrating many facets of our daily life with the proliferation of
intelligent services and applications empowered by artificial intelligence (AI). Traditionally …
intelligent services and applications empowered by artificial intelligence (AI). Traditionally …
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 …
[PDF][PDF] A survey on multiagent reinforcement learning applications in the internet of vehicles
The development of the Internet of Vehicles (IoV) and autonomous vehicles plays a
significant role in intelligent transportation systems (ITS) that are empowered by vehicular …
significant role in intelligent transportation systems (ITS) that are empowered by vehicular …
Reinforcement and deep reinforcement learning for wireless Internet of Things: A survey
Nowadays, many research studies and industrial investigations have allowed the integration
of the Internet of Things (IoT) in current and future networking applications by deploying a …
of the Internet of Things (IoT) in current and future networking applications by deploying a …