Federated learning for industrial internet of things in future industries
The Industrial Internet of Things (IIoT) offers promising opportunities to revolutionize the
operation of industrial systems and become a key enabler of future industries. Recently …
operation of industrial systems and become a key enabler of future industries. Recently …
QoS and privacy-aware routing for 5G-enabled industrial Internet of Things: A federated reinforcement learning approach
The development and maturity of the fifth-generation (5G) wireless communication
technology provides the industrial Internet of Things (IIoT) with ultra-reliable and low-latency …
technology provides the industrial Internet of Things (IIoT) with ultra-reliable and low-latency …
Multipath TCP meets Reinforcement Learning: A novel energy-efficient scheduling approach in heterogeneous wireless networks
P Dong, R Shen, Q Wang, Y Zuo, Y Li… - IEEE Wireless …, 2022 - ieeexplore.ieee.org
Multipath TCP (MPTCP) has been standardized by the IETF as an extension of conventional
TCP and it allows the system to utilize multiple paths simultaneously, which can aggregate …
TCP and it allows the system to utilize multiple paths simultaneously, which can aggregate …
An intelligent edge-enabled distributed multi-task learning architecture for large-scale IoT-based cyber–physical systems
Abstract Internet-of-Things (IoT)-based cyber–physical systems are increasingly being
adopted because of the recent technological advancements in sensor technology, edge …
adopted because of the recent technological advancements in sensor technology, edge …
Machine learning for predictive diagnostics at the edge: An IIoT practical example
P Bellavista, R Della Penna, L Foschini… - ICC 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
Edge Computing is becoming more and more essential for the Industrial Internet of Things
(IIoT) for data acquisition from shop floors. The shifting from central (cloud) to distributed …
(IIoT) for data acquisition from shop floors. The shifting from central (cloud) to distributed …
Mptcp throughput enhancement by q-learning for mobile devices
EFGM Beig, P Daneshjoo, S Rezaei… - 2018 IEEE 20th …, 2018 - ieeexplore.ieee.org
Mobile devices are able to leverage diverse heterogeneous network paths by Multi-Path
Transmission Control Protocol (MPTCP); nevertheless, boosting MPTCP throughput in …
Transmission Control Protocol (MPTCP); nevertheless, boosting MPTCP throughput in …
A comprehensive survey on training acceleration for large machine learning models in IoT
The ever-growing artificial intelligence (AI) applications have greatly reshaped our world in
many areas, eg, smart home, computer vision, natural language processing, etc. Behind …
many areas, eg, smart home, computer vision, natural language processing, etc. Behind …
GCLR: GNN-based cross layer optimization for multipath TCP by routing
T Zhu, X Chen, L Chen, W Wang, G Wei - IEEE Access, 2020 - ieeexplore.ieee.org
Multipath TCP has attracted increasing attention as a promising technology for 5G networks.
To fully utilize network interfaces on multi-homed terminals and the whole network …
To fully utilize network interfaces on multi-homed terminals and the whole network …
Give and take: Federated transfer learning for industrial iot network intrusion detection
The rapid growth in Internet of Things (IoT) technology has become an integral part of
today's industries forming the Industrial IoT (IIoT) initiative, where industries are leveraging …
today's industries forming the Industrial IoT (IIoT) initiative, where industries are leveraging …
Accuracy-guaranteed collaborative DNN inference in industrial IoT via deep reinforcement learning
Collaboration among industrial Internet of Things (IoT) devices and edge networks is
essential to support computation-intensive deep neural network (DNN) inference services …
essential to support computation-intensive deep neural network (DNN) inference services …