Federated Learning of Neural ODE Models with Different Iteration Counts

no code implementations • 19 Aug 2022 • Yuto Hoshino, Hiroki Kawakami, Hiroki Matsutani

Furthermore, we show that our approach can reduce communication size by up to 92. 4% compared with a baseline ResNet model using CIFAR-10 dataset.

Federated Learning

A Low-Cost Neural ODE with Depthwise Separable Convolution for Edge Domain Adaptation on FPGAs

no code implementations • 27 Jul 2021 • Hiroki Kawakami, Hirohisa Watanabe, Keisuke Sugiura, Hiroki Matsutani

It is implemented on Xilinx ZCU104 board and evaluated in terms of domain adaptation accuracy, inference speed, FPGA resource utilization, and speedup rate compared to a software counterpart.

Domain Adaptation Image Classification