Superimposed RIS-phase modulation for MIMO communications: A novel paradigm of information transfer
Reconfigurable intelligent surface (RIS) is regarded as an important enabling technology for
the sixth-generation (6G) network. Recently, modulating information in reflection patterns of …
the sixth-generation (6G) network. Recently, modulating information in reflection patterns of …
Imperfect CSI: A key factor of uncertainty to over-the-air federated learning
Over-the-air computation (AirComp) has recently been identified as a prominent technique
to enhance communication efficiency of wireless federated learning (FL). This letter …
to enhance communication efficiency of wireless federated learning (FL). This letter …
Energy-aware federated learning with distributed user sampling and multichannel ALOHA
RV Da Silva, OLA López… - IEEE Communications …, 2023 - ieeexplore.ieee.org
Distributed learning on edge devices has attracted increased attention with the advent of
federated learning (FL). Notably, edge devices often have limited battery and …
federated learning (FL). Notably, edge devices often have limited battery and …
Digital versus analog transmissions for federated learning over wireless networks
In this paper, we quantitatively compare these two effective communication schemes, ie,
digital and analog ones, for wireless federated learning (FL) over resource-constrained …
digital and analog ones, for wireless federated learning (FL) over resource-constrained …
Wireless Federated Learning over Resource-Constrained Networks: Digital versus Analog Transmissions
To enable wireless federated learning (FL) in communication resource-constrained
networks, two communication schemes, ie, digital and analog ones, are effective solutions …
networks, two communication schemes, ie, digital and analog ones, are effective solutions …
Delay Minimization of Federated Learning Over Wireless Powered Communication Networks
In this letter, we study distributed federated learning (FL) in wireless powered
communication networks (WPCNs). The proposed system model ensures data privacy and …
communication networks (WPCNs). The proposed system model ensures data privacy and …
A Multifaceted Survey on Federated Learning: Fundamentals, Paradigm Shifts, Practical Issues, Recent Developments, Partnerships, Trade-Offs, Trustworthiness, and …
A Majeed, SO Hwang - IEEE Access, 2024 - ieeexplore.ieee.org
Federated learning (FL) is considered a de facto standard for privacy preservation in AI
environments because it does not require data to be aggregated in some central place to …
environments because it does not require data to be aggregated in some central place to …
Decentralized Federated Learning on the Edge: From the Perspective of Quantization and Graphical Topology
Z Yan, D Li - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Decentralized Federated Learning (DFL), a Federated Edge Learning (FEEL) framework
without a server, can avoid the huge communication overhead of the server and the single …
without a server, can avoid the huge communication overhead of the server and the single …
Energy-Efficient mmWave Transmission: Over-the-Air-Modulation (OTAM) System Using Moment Analysis Framework
Millimeter wave (mmWave) technology promises unprecedented capacity and ultra-low
latency for wireless communications. However, mmWave systems confront challenges …
latency for wireless communications. However, mmWave systems confront challenges …
Disentangled Representation Learning Empowered CSI Feedback Using Implicit Channel Reciprocity in FDD Massive MIMO
W Xu, J Wu, S Jin, X You, Z Lu - IEEE Transactions on Wireless …, 2024 - ieeexplore.ieee.org
Channel state information (CSI) compression and feedback is a common way of acquiring
the CSI at the transmitter in frequency division duplex (FDD) massive multiple-input multiple …
the CSI at the transmitter in frequency division duplex (FDD) massive multiple-input multiple …