19 citations · 67 across the 15 of their papers we have counts for
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cs.DC2023★ 1 cited
Performance Improvement of Federated Learning Server using Smart NIC
Naoki Shibahara, Michihiro Koibuchi, Hiroki Matsutani
Federated learning is a distributed machine learning approach where local weight parameters trained by clients locally are aggregated as global parameters by a server. The global p…
cs.RO2023
An Integrated FPGA Accelerator for Deep Learning-based 2D/3D Path Planning
Keisuke Sugiura, Hiroki Matsutani
Path planning is a crucial component for realizing the autonomy of mobile robots. However, due to limited computational resources on mobile robots, it remains challenging to deploy…
cs.LG2023
A Sequential Concept Drift Detection Method for On-Device Learning on Low-End Edge Devices
Takeya Yamada, Hiroki Matsutani
A practical issue of edge AI systems is that data distributions of trained dataset and deployed environment may differ due to noise and environmental changes over time. Such a phen…