19 citations · 67 across the 15 of their papers we have counts for
3 papers · 1 filter
Federated Learning of Neural ODE Models with Different Iteration Counts
Yuto Hoshino, Hiroki Kawakami, Hiroki Matsutani
Federated learning is a distributed machine learning approach in which clients train models locally with their own data and upload them to a server so that their trained results ar…
An Efficient Accelerator for Deep Learning-based Point Cloud Registration on FPGAs
Keisuke Sugiura, Hiroki Matsutani
Point cloud registration is the basis for many robotic applications such as odometry and Simultaneous Localization And Mapping (SLAM), which are increasingly important for autonomo…
Addressing Gap between Training Data and Deployed Environment by On-Device Learning
Kazuki Sunaga, Masaaki Kondo, Hiroki Matsutani
The accuracy of tinyML applications is often affected by various environmental factors, such as noises, location/calibration of sensors, and time-related changes. This article intr…