4 citations · 5 across the 4 of their papers we have counts for
4 papers
Federated AirNet: Hybrid Digital-Analog Neural Network Transmission for Federated Learning
Takuya Fujihashi, Toshiaki Koike-Akino, Takashi Watanabe
A key issue in federated learning over wireless channels is how to exchange a large number of the model parameters via time-varying channels. Two types of solutions based on digita…
CSI2Image: Image Reconstruction from Channel State Information Using Generative Adversarial Networks
Sorachi Kato, Takeru Fukushima, Tomoki Murakami +5
This study aims to find the upper limit of the wireless sensing capability of acquiring physical space information. This is a challenging objective, because at present, wireless se…
Wireless 3D Point Cloud Delivery Using Deep Graph Neural Networks
Takuya Fujihashi, Toshiaki Koike-Akino, Siheng Chen +1
In typical point cloud delivery, a sender uses octree-based digital video compression to send three-dimensional (3D) points and color attributes over band-limited links. However, t…
HoloCast: Graph Signal Processing for Graceful Point Cloud Delivery
Takuya Fujihashi, Toshiaki Koike-Akino, Takashi Watanabe +1
In conventional point cloud delivery, a sender uses octree-based digital video compression to stream three-dimensional (3D) points and the corresponding color attributes over band-…