19 citations · 67 across the 15 of their papers we have counts for
4 papers · 1 filter
Accelerating ODE-Based Neural Networks on Low-Cost FPGAs
Hirohisa Watanabe, Hiroki Matsutani
ODENet is a deep neural network architecture in which a stacking structure of ResNet is implemented with an ordinary differential equation (ODE) solver. It can reduce the number of…
An FPGA Acceleration and Optimization Techniques for 2D LiDAR SLAM Algorithm
Keisuke Sugiura, Hiroki Matsutani
An efficient hardware implementation for Simultaneous Localization and Mapping (SLAM) methods is of necessity for mobile autonomous robots with limited computational resources. In…
An FPGA-Based On-Device Reinforcement Learning Approach using Online Sequential Learning
Hirohisa Watanabe, Mineto Tsukada, Hiroki Matsutani
DQN (Deep Q-Network) is a method to perform Q-learning for reinforcement learning using deep neural networks. DQNs require a large buffer and batch processing for an experience rep…
An On-Device Federated Learning Approach for Cooperative Model Update between Edge Devices
Rei Ito, Mineto Tsukada, Hiroki Matsutani
Most edge AI focuses on prediction tasks on resource-limited edge devices while the training is done at server machines. However, retraining or customizing a model is required at e…