Multipath TCP meets transfer learning: A novel edge-based learning for industrial IoT
We consider a fifth-generation (5G)-empowered future Industrial IoT (IIoT) networking
problem where IIoT machines are capable of communicating and sharing their data …
problem where IIoT machines are capable of communicating and sharing their data …
Transfer learning for disruptive 5G-enabled industrial internet of things
RWL Coutinho, A Boukerche - IEEE Transactions on Industrial …, 2021 - ieeexplore.ieee.org
Internet of things (IoT) and 5G network are fundamental building blocks for industrial IoT
(IIoT). IoT has enabled real-time monitoring and actuation in industrial floors and machinery …
(IIoT). IoT has enabled real-time monitoring and actuation in industrial floors and machinery …
Guest editorial: Special section on transfer learning for 5G-aided Industrial Internet of Things
The potential for the wide-scale acceptance of the Industrial IoT is limited by a lack of
automation, real-time monitoring, and connectedness. However, the future communication …
automation, real-time monitoring, and connectedness. However, the future communication …
Fair and efficient distributed edge learning with hybrid multipath TCP
The bottleneck of distributed edge learning (DEL) over wireless has shifted from computing
to communication, primarily the aggregation-averaging (Agg-Avg) process of DEL. The …
to communication, primarily the aggregation-averaging (Agg-Avg) process of DEL. The …
Toward deep transfer learning in industrial internet of things
Machine learning techniques have been widely adopted to assist in data analysis in a
variety of Internet of Things (IoT) systems. To enable flexible use of trained learning models …
variety of Internet of Things (IoT) systems. To enable flexible use of trained learning models …
DeepCC: Multi-agent deep reinforcement learning congestion control for multi-path TCP based on self-attention
With the development of the Internet of Things (IoT) and 5G, there are ubiquitous smart
devices and network functions providing emerging network services efficiently and optimally …
devices and network functions providing emerging network services efficiently and optimally …
Adaptive federated learning and digital twin for industrial internet of things
W Sun, S Lei, L Wang, Z Liu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Industrial Internet of Things (IoT) enables distributed intelligent services varying with the
dynamic and realtime industrial environment to achieve Industry 4.0 benefits. In this article …
dynamic and realtime industrial environment to achieve Industry 4.0 benefits. In this article …
-MPTCP: A Learning-Driven Latency-Aware Multipath Transport Scheme for Industrial Internet Applications
With various industrial wireless networks greeting booming development, modern industrial
devices configured with several network interfaces increasingly become the norm. Such …
devices configured with several network interfaces increasingly become the norm. Such …
Computational intelligence and deep learning for next-generation edge-enabled industrial IoT
In this paper, we investigate how to deploy computational intelligence and deep learning
(DL) in edge-enabled industrial IoT networks. In this system, the IoT devices can …
(DL) in edge-enabled industrial IoT networks. In this system, the IoT devices can …
Learning-based Real-Time Transmission Control for Multi-Path TCP Networks
The evolution of the Internet of Things and 5G/6G networks is ushered in the exponential
proliferation of mobile devices with multiple wireless interfaces. Multi-Path TCP (MPTCP) is …
proliferation of mobile devices with multiple wireless interfaces. Multi-Path TCP (MPTCP) is …