Distributed learning in wireless networks: Recent progress and future challenges
The next-generation of wireless networks will enable many machine learning (ML) tools and
applications to efficiently analyze various types of data collected by edge devices for …
applications to efficiently analyze various types of data collected by edge devices for …
A survey on over-the-air computation
Communication and computation are often viewed as separate tasks. This approach is very
effective from the perspective of engineering as isolated optimizations can be performed …
effective from the perspective of engineering as isolated optimizations can be performed …
Optimized power control design for over-the-air federated edge learning
Over-the-air federated edge learning (Air-FEEL) has emerged as a communication-efficient
solution to enable distributed machine learning over edge devices by using their data locally …
solution to enable distributed machine learning over edge devices by using their data locally …
Interference management for over-the-air federated learning in multi-cell wireless networks
Federated learning (FL) over resource-constrained wireless networks has recently attracted
much attention. However, most existing studies consider one FL task in single-cell wireless …
much attention. However, most existing studies consider one FL task in single-cell wireless …
Transmission power control for over-the-air federated averaging at network edge
Over-the-air computation (AirComp) has emerged as a new analog power-domain non-
orthogonal multiple access (NOMA) technique for low-latency model/gradient-updates …
orthogonal multiple access (NOMA) technique for low-latency model/gradient-updates …
Over-the-Air Computation for 6G: Foundations, Technologies, and Applications
The rapid advancement of artificial intelligence technologies has given rise to diversified
intelligent services, which place unprecedented demands on massive connectivity and …
intelligent services, which place unprecedented demands on massive connectivity and …
Integrated sensing, communication, and computation over-the-air: MIMO beamforming design
To support the unprecedented growth of the Internet of Things (IoT) applications,
tremendous data need to be collected by the IoT devices and delivered to the server for …
tremendous data need to be collected by the IoT devices and delivered to the server for …
Combining federated learning and edge computing toward ubiquitous intelligence in 6G network: Challenges, recent advances, and future directions
Full leverage of the huge volume of data generated on a large number of user devices for
providing intelligent services in the 6G network calls for Ubiquitous Intelligence (UI). A key to …
providing intelligent services in the 6G network calls for Ubiquitous Intelligence (UI). A key to …
A survey of federated learning for connected and automated vehicles
Connected and Automated Vehicles (CAVs) represent a rapidly growing technology in the
automotive domain sector, offering promising solutions to address challenges such as traffic …
automotive domain sector, offering promising solutions to address challenges such as traffic …
Communication-efficient federated edge learning via optimal probabilistic device scheduling
Federated edge learning (FEEL) is a popular distributed learning framework that allows
privacy-preserving collaborative model training via periodic learning-updates …
privacy-preserving collaborative model training via periodic learning-updates …