Transfer learning for wireless networks: A comprehensive survey
With outstanding features, machine learning (ML) has become the backbone of numerous
applications in wireless networks. However, the conventional ML approaches face many …
applications in wireless networks. However, the conventional ML approaches face many …
Transfer learning for future wireless networks: A comprehensive survey
With outstanding features, Machine Learning (ML) has been the backbone of numerous
applications in wireless networks. However, the conventional ML approaches have been …
applications in wireless networks. However, the conventional ML approaches have been …
Transfer learning promotes 6G wireless communications: Recent advances and future challenges
M Wang, Y Lin, Q Tian, G Si - IEEE Transactions on Reliability, 2021 - ieeexplore.ieee.org
In the coming 6G communications, network densification, high throughput, positioning
accuracy, energy efficiency, and many other key performance indicator requirements are …
accuracy, energy efficiency, and many other key performance indicator requirements are …
[HTML][HTML] Transfer learning for radio frequency machine learning: A taxonomy and survey
LJ Wong, AJ Michaels - Sensors, 2022 - mdpi.com
Transfer learning is a pervasive technology in computer vision and natural language
processing fields, yielding exponential performance improvements by leveraging prior …
processing fields, yielding exponential performance improvements by leveraging prior …
Communication-efficient and distributed learning over wireless networks: Principles and applications
Machine learning (ML) is a promising enabler for the fifth-generation (5G) communication
systems and beyond. By imbuing intelligence into the network edge, edge nodes can …
systems and beyond. By imbuing intelligence into the network edge, edge nodes can …
Recent advances in artificial intelligence for wireless internet of things and cyber–physical systems: A comprehensive survey
Advances in artificial intelligence (AI) and wireless technology are driving forward the large
deployment of interconnected smart technologies that constitute cyber–physical systems …
deployment of interconnected smart technologies that constitute cyber–physical systems …
Communication-efficient and distributed learning over wireless networks: Principles and applications
Machine learning (ML) is a promising enabler for the fifth generation (5G) communication
systems and beyond. By imbuing intelligence into the network edge, edge nodes can …
systems and beyond. By imbuing intelligence into the network edge, edge nodes can …
A survey of recent advances in transfer learning
H Liang, W Fu, F Yi - 2019 IEEE 19th international conference …, 2019 - ieeexplore.ieee.org
The integration of transfer learning methods and other machine learning branches can bring
a good improvement in speed and performance, it has become a good research topic in the …
a good improvement in speed and performance, it has become a good research topic in the …
Transfer learning with radio frequency signals
S Kuzdeba, J Robinson… - 2021 IEEE 18th Annual …, 2021 - ieeexplore.ieee.org
Transfer learning has allowed for more widespread adaptation and expanded use of deep
learning models in fields such as computer vision and speech recognition. The radio …
learning models in fields such as computer vision and speech recognition. The radio …
A decade survey of transfer learning (2010–2020)
Transfer learning (TL) has been successfully applied to many real-world problems that
traditional machine learning (ML) cannot handle, such as image processing, speech …
traditional machine learning (ML) cannot handle, such as image processing, speech …