Communication-efficient federated learning for digital twin edge networks in industrial IoT
Y Lu, X Huang, K Zhang, S Maharjan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The rapid development of artificial intelligence and 5G paradigm, opens up new possibilities
for emerging applications in industrial Internet of Things (IIoT). However, the large amount of …
for emerging applications in industrial Internet of Things (IIoT). However, the large amount of …
Multipath communication with deep Q-network for industry 4.0 automation and orchestration
SR Pokhrel, S Garg - IEEE Transactions on Industrial …, 2020 - ieeexplore.ieee.org
In this article, we design a novel multipath communication framework for Industry 4.0 using
deep Q-network [1] to achieve human-level intelligence in networking automation and …
deep Q-network [1] to achieve human-level intelligence in networking automation and …
Improving TCP congestion control with machine intelligence
In a TCP/IP network, a key to ensure efficient and fair sharing of network resources among
its users is the TCP congestion control (CC) scheme. Previously, the design of TCP CC …
its users is the TCP congestion control (CC) scheme. Previously, the design of TCP CC …
Toward edge-based deep learning in industrial Internet of Things
As a typical application of the Internet of Things (IoT), the Industrial IoT (IIoT) connects all the
related IoT sensing and actuating devices ubiquitously so that the monitoring and control of …
related IoT sensing and actuating devices ubiquitously so that the monitoring and control of …
Experience-driven congestion control: When multi-path TCP meets deep reinforcement learning
In this paper, we aim to study networking problems from a whole new perspective by
leveraging emerging deep learning, to develop an experience-driven approach, which …
leveraging emerging deep learning, to develop an experience-driven approach, which …
Adaptive federated learning for digital twin driven industrial internet of things
Q Song, S Lei, W Sun, Y Zhang - 2021 IEEE Wireless …, 2021 - ieeexplore.ieee.org
Industrial Internet of Things (IoT) enables distributed intelligent services varying with the
complex industrial environment to achieve the benefits of Industry 4.0. In this paper, we …
complex industrial environment to achieve the benefits of Industry 4.0. In this paper, we …
Multipath TCP-based IoT communication evaluation: From the perspective of multipath management with machine learning
With the development of wireless networking technology, current Internet-of-Things (IoT)
devices are equipped with multiple network access interfaces. Multipath TCP (MPTCP) …
devices are equipped with multiple network access interfaces. Multipath TCP (MPTCP) …
An approach to reinforce multipath TCP with path-aware information
K Nguyen, M Golam Kibria, K Ishizu, F Kojima… - Sensors, 2019 - mdpi.com
Multipath TCP (MPTCP), which enables the use of multiple wireless links (eg, Wi-Fi and
LTE) for data transmissions, is an excellent technology for evolving multi-homing devices in …
LTE) for data transmissions, is an excellent technology for evolving multi-homing devices in …
Federated reinforcement learning-based resource allocation for D2D-aided digital twin edge networks in 6G industrial IoT
The sixth generation (6G) is conceived to address the expected high level of requirements
(such as ultra-high-data-transmission rate, support for the highest moving speed and …
(such as ultra-high-data-transmission rate, support for the highest moving speed and …
DetFed: Dynamic resource scheduling for deterministic federated learning over time-sensitive networks
In this paper, we present a three-layer (ie, device, field, and factory layers) deterministic
federated learning (FL) framework, named DetFed, which accelerates collaborative learning …
federated learning (FL) framework, named DetFed, which accelerates collaborative learning …