Addressing the Gap Between Training Data and Deployed Environment by On-Device Learning. - Kazuki Sunaga; Masaaki Kondo; Hiroki Matsutani (IEEE Micro, 2023)

An FPGA-Based Accelerator for Graph Embedding using Sequential Training Algorithm. - Kazuki Sunaga; Keisuke Sugiura; Hiroki Matsutani (IPDPS (Workshops), 2024)

A Sequential Approach to Detect Drifts and Retrain Neural Networks on Resource-Limited Edge Devices. - Kazuki Sunaga; Takeya Yamada; Hiroki Matsutani (IEICE Trans. Inf. Syst., 2024)

Skip2-LoRA: A Lightweight On-device DNN Fine-tuning Method for Low-cost Edge Devices. - Hiroki Matsutani; Masaaki Kondo; Kazuki Sunaga; Radu Marculescu (ASP-DAC, 2025)