A Neural Network-Based On-device Learning Anomaly Detector for Edge Devices

23 July 2019

Papers citing "A Neural Network-Based On-device Learning Anomaly Detector for Edge Devices"

20 / 20 papers shown

Title
Towards On-Device Learning and Reconfigurable Hardware Implementation for Encoded Single-Photon Signal Processing Zhenya Zang Xingda Li D. Li 16 0 0 12 Apr 2025
Skip2-LoRA: A Lightweight On-device DNN Fine-tuning Method for Low-cost Edge Devices Hiroki Matsutani Masaaki Kondo Kazuki Sunaga R. Marculescu 11 0 0 28 Oct 2024
A Tiny Supervised ODL Core with Auto Data Pruning for Human Activity Recognition Hiroki Matsutani R. Marculescu SyDa 21 0 0 02 Aug 2024
Achieving Pareto Optimality using Efficient Parameter Reduction for DNNs in Resource-Constrained Edge Environment Atah Nuh Mih Alireza Rahimi Asfia Kawnine Francis Palma Monica Wachowicz R. Dubay Hung Cao 21 0 0 14 Mar 2024
Training Machine Learning models at the Edge: A Survey Aymen Rayane Khouas Mohamed Reda Bouadjenek Hakim Hacid Sunil Aryal 29 10 0 05 Mar 2024
An FPGA-Based Accelerator for Graph Embedding using Sequential Training Algorithm Kazuki Sunaga Keisuke Sugiura Hiroki Matsutani GNN 13 0 0 23 Dec 2023
Developing a Resource-Constraint EdgeAI model for Surface Defect Detection Atah Nuh Mih Hung Cao Asfia Kawnine Monica Wachowicz 26 0 0 04 Dec 2023
LightESD: Fully-Automated and Lightweight Anomaly Detection Framework for Edge Computing Ronit Das Tie-Mei Luo 14 2 0 20 May 2023
Ultrafast single-channel machine vision based on neuro-inspired photonic computing Tomoya Yamaguchi Kohei Arai T. Niiyama Atsushi Uchida S. Sunada 13 9 0 15 Feb 2023
A Sequential Concept Drift Detection Method for On-Device Learning on Low-End Edge Devices T. Yamada Hiroki Matsutani 17 0 0 19 Dec 2022
A review of Federated Learning in Intrusion Detection Systems for IoT Aitor Belenguer J. Navaridas J. A. Pascual 20 15 0 26 Apr 2022
Fast fluorescence lifetime imaging analysis via extreme learning machine Zhenya Zang D. Xiao Quankun Wang Zinuo Li Wujun Xie Yu Chen D. Li 15 2 0 25 Mar 2022
Addressing Gap between Training Data and Deployed Environment by On-Device Learning Kazuki Sunaga Masaaki Kondo Hiroki Matsutani 11 7 0 02 Mar 2022
Machine Learning for the Control and Monitoring of Electric Machine Drives: Advances and Trends Shen Zhang Oliver Wallscheid Mario Porrmann 16 35 0 11 Oct 2021
Generative Optimization Networks for Memory Efficient Data Generation Shreshth Tuli Shikhar Tuli G. Casale N. Jennings 16 12 0 06 Oct 2021
An Overflow/Underflow-Free Fixed-Point Bit-Width Optimization Method for OS-ELM Digital Circuit Mineto Tsukada Hiroki Matsutani 26 2 0 17 Mar 2021
Deep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-Efficient On-device Federated Learning Approach Yi Liu S. Garg Jiangtian Nie Yan Zhang Zehui Xiong Jiawen Kang M. S. Hossain FedML 26 377 0 19 Jul 2020
An FPGA-Based On-Device Reinforcement Learning Approach using Online Sequential Learning Hirohisa Watanabe Mineto Tsukada Hiroki Matsutani 17 19 0 10 May 2020
An On-Device Federated Learning Approach for Cooperative Model Update between Edge Devices Rei Ito Mineto Tsukada Hiroki Matsutani FedML 14 7 0 27 Feb 2020
DeepShift: Towards Multiplication-Less Neural Networks Mostafa Elhoushi Zihao Chen F. Shafiq Ye Tian Joey Yiwei Li MQ 33 97 0 30 May 2019