Over-the-air federated learning and non-orthogonal multiple access unified by reconfigurable intelligent surface
With the aim of integrating over-the-air federated learning (AirFL) and non-orthogonal
multiple access (NOMA) into an on-demand universal framework, this paper proposes a …
multiple access (NOMA) into an on-demand universal framework, this paper proposes a …
Enabling ubiquitous non-orthogonal multiple access and pervasive federated learning via STAR-RIS
This paper proposes a new, compatible, unified framework which integrates non-orthogonal
multiple access (NOMA) and over-the-air federated learning (AirFL) via concurrent …
multiple access (NOMA) and over-the-air federated learning (AirFL) via concurrent …
Integrating over-the-air federated learning and non-orthogonal multiple access: What role can RIS play?
With the aim of integrating over-the-air federated learning (AirFL) and non-orthogonal
multiple access (NOMA) into an on-demand universal framework, this paper proposes a …
multiple access (NOMA) into an on-demand universal framework, this paper proposes a …
STAR-RIS enabled heterogeneous networks: Ubiquitous NOMA communication and pervasive federated learning
This paper integrates non-orthogonal multiple access (NOMA) and over-the-air federated
learning (AirFL) into a unified framework using a simultaneous transmitting and reflecting …
learning (AirFL) into a unified framework using a simultaneous transmitting and reflecting …
STAR-RIS integrated nonorthogonal multiple access and over-the-air federated learning: Framework, analysis, and optimization
This article integrates nonorthogonal multiple access (NOMA) and over-the-air federated
learning (AirFL) into a unified framework using one simultaneous transmitting and reflecting …
learning (AirFL) into a unified framework using one simultaneous transmitting and reflecting …
SemiFL: Semi-federated learning empowered by simultaneously transmitting and reflecting reconfigurable intelligent surface
This paper proposes a novel semi-federated learning (SemiFL) paradigm, which integrates
centralized learning (CL) and over-the-air federated learning (AirFL) into a unified …
centralized learning (CL) and over-the-air federated learning (AirFL) into a unified …
Federated learning in multi-RIS-aided systems
The fundamental communication paradigms in the next-generation mobile networks are
shifting from connected things to connected intelligence. The potential result is that current …
shifting from connected things to connected intelligence. The potential result is that current …
Mobile reconfigurable intelligent surfaces for NOMA networks: Federated learning approaches
A novel framework of reconfigurable intelligent surfaces (RISs)-enhanced indoor wireless
networks is proposed, where an RIS mounted on the robot is invoked to enable mobility of …
networks is proposed, where an RIS mounted on the robot is invoked to enable mobility of …
Reconfigurable intelligent surface assisted non-orthogonal multiple access network based on machine learning approaches
In the upcoming beyond fifth-generation (B5G), the surging demand on high network
capacity and numerous access devices can hardly be satisfied by the scarce spectrum …
capacity and numerous access devices can hardly be satisfied by the scarce spectrum …
Federated learning with NOMA assisted by multiple intelligent reflecting surfaces: Latency minimizing optimization and auction
Federated learning (FL) has emerged as a promising framework to exploit massive data
generated by edge devices in developing a common learning model while preserving the …
generated by edge devices in developing a common learning model while preserving the …