220 citations · 609 across the 49 of their papers we have counts for
5 papers · 1 filter
BScNets: Block Simplicial Complex Neural Networks
Yuzhou Chen, Yulia R. Gel, H. Vincent Poor
Simplicial neural networks (SNN) have recently emerged as the newest direction in graph learning which expands the idea of convolutional architectures from node space to simplicial…
Communication-Efficient Federated Learning via Quantized Compressed Sensing
Yongjeong Oh, Namyoon Lee, Yo-Seb Jeon +1
In this paper, we present a communication-efficient federated learning framework inspired by quantized compressed sensing. The presented framework consists of gradient compression…
Joint LED Selection and Precoding Optimization for Multiple-User Multiple-Cell VLC Systems
Yang Yang, Yujie Yang, Mingzhe Chen +4
This paper proposes a hybrid dimming scheme based on joint LED selection and precoding design (TASP-HD) for multiple-user (MU) multiple-cell (MC) visible light communications (VLC)…
Joint Design for Simultaneously Transmitting And Reflecting (STAR) RIS Assisted NOMA Systems
Jiakuo Zuo, Yuanwei Liu, Zhiguo Ding +2
Different from traditional reflection-only reconfigurable intelligent surfaces (RISs), simultaneously transmitting and reflecting RISs (STAR-RISs) represent a novel technology, whi…
Blockchain Assisted Federated Learning over Wireless Channels: Dynamic Resource Allocation and Client Scheduling
Xiumei Deng, Jun Li, Chuan Ma +5
The blockchain technology has been extensively studied to enable distributed and tamper-proof data processing in federated learning (FL). Most existing blockchain assisted FL (BFL)…