OS-ELM-FPGA: An FPGA-Based Online Sequential Unsupervised Anomaly Detector. - Mineto Tsukada; Masaaki Kondo; Hiroki Matsutani (Euro-Par Workshops, 2018)

Network Optimizations on Prediction Server with Multiple Predictors. - Kaho Okuyama; Yuta Tokusashi; Takuma Iwata; Mineto Tsukada; Kazumasa Kishiki; Hiroki Matsutani (ISPA/IUCC/BDCloud/SocialCom/SustainCom, 2018)

Performance and Cost Evaluations of Online Sequential Learning and Unsupervised Anomaly Detection Core. - Tomoya Itsubo; Mineto Tsukada; Hiroki Matsutani (COOL CHIPS, 2019)

An Adaptive Abnormal Behavior Detection using Online Sequential Learning. - Rei Ito; Mineto Tsukada; Masaaki Kondo; Hiroki Matsutani (CSE/EUC, 2019)

An Edge Attribute-Wise Partitioning and Distributed Processing of R-GCN Using GPUs. - Tokio Kibata; Mineto Tsukada; Hiroki Matsutani (Euro-Par Workshops, 2020)

An On-Device Federated Learning Approach for Cooperative Anomaly Detection. - Rei Ito; Mineto Tsukada; Hiroki Matsutani (CoRR, 2020)

A Neural Network-Based On-Device Learning Anomaly Detector for Edge Devices. - Mineto Tsukada; Masaaki Kondo; Hiroki Matsutani (IEEE Trans. Computers, 2020)

An FPGA-Based On-Device Reinforcement Learning Approach using Online Sequential Learning. - Hirohisa Watanabe; Mineto Tsukada; Hiroki Matsutani (IPDPS Workshops, 2021)

An On-Device Federated Learning Approach for Cooperative Model Update Between Edge Devices. - Rei Ito; Mineto Tsukada; Hiroki Matsutani (IEEE Access, 2021)

On-Device Learning: A Neural Network Based Field-Trainable Edge AI. - Hiroki Matsutani; Mineto Tsukada; Masaaki Kondo (CoRR, 2022)

An Overflow/Underflow-Free Fixed-Point Bit-Width Optimization Method for OS-ELM Digital Circuit. - Mineto Tsukada; Hiroki Matsutani (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2022)