2 papers
cs.LG2025
InstantFT: An FPGA-Based Runtime Subsecond Fine-tuning of CNN Models
Keisuke Sugiura, Hiroki Matsutani
Training deep neural networks (DNNs) requires significantly more computation and memory than inference, making runtime adaptation of DNNs challenging on resource-limited IoT platfo…
cs.LG2025
PointODE: Lightweight Point Cloud Learning with Neural Ordinary Differential Equations on Edge
Keisuke Sugiura, Mizuki Yasuda, Hiroki Matsutani
Embedded edge devices are often used as a computing platform to run real-world point cloud applications, but recent deep learning-based methods may not fit on such devices due to l…