Edge learning for B5G networks with distributed signal processing: Semantic communication, edge computing, and wireless sensing
To process and transfer large amounts of data in emerging wireless services, it has become
increasingly appealing to exploit distributed data communication and learning. Specifically …
increasingly appealing to exploit distributed data communication and learning. Specifically …
Recent advances in artificial intelligence for wireless internet of things and cyber–physical systems: A comprehensive survey
BA Salau, A Rawal, DB Rawat - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
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 …
Decentralized edge learning via unreliable device-to-device communications
Distributed machine learning has been extensively employed in wireless systems, which
can leverage abundant data distributed over massive devices to collaboratively train a high …
can leverage abundant data distributed over massive devices to collaboratively train a high …
[图书][B] White Paper on Machine Learning in 6G Wireless Communication Networks: 6G Research Visions, No. 7, 2020
This white paper discusses various topics, advances, and projections regarding machine
learning (ML) in wireless communications. Sixth generation (6G) wireless communications …
learning (ML) in wireless communications. Sixth generation (6G) wireless communications …
From federated to fog learning: Distributed machine learning over heterogeneous wireless networks
S Hosseinalipour, CG Brinton… - IEEE …, 2020 - ieeexplore.ieee.org
Machine learning (ML) tasks are becoming ubiquitous in today's network applications.
Federated learning has emerged recently as a technique for training ML models at the …
Federated learning has emerged recently as a technique for training ML models at the …
Over-the-air federated learning with retransmissions (extended version)
Motivated by increasing computational capabilities of wireless devices, as well as
unprecedented levels of user-and device-generated data, new distributed machine learning …
unprecedented levels of user-and device-generated data, new distributed machine learning …
[HTML][HTML] A survey: Distributed Machine Learning for 5G and beyond
Abstract 5 G is the fifth generation of cellular networks. It enables billions of connected
devices to gather and share information in real time; a key facilitator in Industrial Internet of …
devices to gather and share information in real time; a key facilitator in Industrial Internet of …
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 …
Distributed intelligence in wireless networks
The cloud-based solutions are becoming inefficient due to considerably large time delays,
high power consumption, and security and privacy concerns caused by billions of connected …
high power consumption, and security and privacy concerns caused by billions of connected …
A joint decentralized federated learning and communications framework for industrial networks
Industrial wireless networks are pushing towards distributed architectures moving beyond
traditional server-client transactions. Paired with this trend, new synergies are emerging …
traditional server-client transactions. Paired with this trend, new synergies are emerging …