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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| CCS | 2024-03-27 13:00 |
Hokkaido | RUSUTSU RESORT | Training of Encoder-Decoder models and its application towards edge computing Koki Nobori, Hiiro Yamazaki, Kota Ando, Tetsuya Asai (Hokkaido Univ.)  CCS2023-42 |
This study investigates the use of the Encoder-Decoder architecture and its application to generative AI for learning on... [more] | CCS2023-42 pp.18-23 |
| CCS | 2024-03-27 14:00 |
Hokkaido | RUSUTSU RESORT | Evaluation of recurrent neural network training using multi-phase quantization optimizer Hiiro Yamazaki, Itsuki Akeno, Koki Nobori, Tetsuya Asai, Kota Ando (Hokkaido Univ.) CCS2023-44 |
In this research, we apply "Holmes", an optimizer dedicated to edge training of neural networks, to recurrent neural net... [more] | CCS2023-44 pp.30-35 |
| CCS | 2024-03-27 14:25 |
Hokkaido | RUSUTSU RESORT | Multi-task Collaborative Learning Based on Common Bases of Neural Networks Fumiya Arai, Atsushi Hori, Tetsuya Asai, Kota Ando (Hokkaido Univ.) CCS2023-45 |
(To be available after the conference date) [more] | CCS2023-45 pp.36-41 |
| PRMU, IBISML, IPSJ-CVIM | 2024-03-04 11:10 |
Hiroshima | Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
Towards Client-aware Clustering Federated Learning based on Representations of Local Models Tatsuya Kaneko, Shinya Takamaeda-Yamazaki (Tokyo Univ.) IBISML2023-49 |
In the current era of rapidly expanding machine learning, there has been growing concerns and awareness of data privacy ... [more] | IBISML2023-49 pp.65-70 |
| VLD, HWS, ICD | 2024-02-29 11:40 |
Okinawa | (Primary: On-site, Secondary: Online) |
A Study of Edge AI & Distributed DB Computing Architecture for Edge-Centric Digital Twin Hiroshi Miyata (TAN), Kazutami Arimoto (Okayama Pref. Univ.), Atsushi Hayami, Hisayoshi Mizuno (TAN), Tomoyuki Yokogawa (Okayama Pref. Univ.) VLD2023-111 HWS2023-71 ICD2023-100 |
After 5G, the realization of the edge digital twin, which integrates sensor data from edge terminals, has become a reali... [more] | VLD2023-111 HWS2023-71 ICD2023-100 pp.72-76 |
| VLD, HWS, ICD | 2024-03-02 09:20 |
Okinawa | (Primary: On-site, Secondary: Online) |
Countermeasure on AI Hardware against Adversarial Examples Kosuke Hamaguchi, Shu Takemoto, Yusuke Nozaki, Masaya Yoshikawa (Meijo Univ.) VLD2023-134 HWS2023-94 ICD2023-123 |
The demand for edge AI, in which artificial intelligence (AI) is directly embedded in devices, is increasing, and the se... [more] | VLD2023-134 HWS2023-94 ICD2023-123 pp.184-189 |
| LOIS, IPSJ-DC | 2023-08-04 14:45 |
Kyoto | Kyoto Tachibana University, Keisei-Kan, 1-G106 (Primary: On-site, Secondary: Online) |
Recognizing Human-Centered Contexts for In-Home Elderly Monitoring Using Vision-Based Edge AI Sinan Chen, Masahide Nakamura, Kiyoshi Yasuda (Kobe Univ.) LOIS2023-6 |
As the global population ages, including Japan, there is a significant trend toward transitioning from facility-based ca... [more] | LOIS2023-6 pp.18-22 |
| RECONF | 2023-06-08 15:35 |
Kochi | Eikokuji Campus, Kochi University of Technology (Primary: On-site, Secondary: Online) |
Investigation of "RegNet" acceleration method using SoC FPGA Natsuki Tajima, Chikako Nakanishi (OIT) RECONF2023-2 |
In recent years, AI technology has attracted much attention. However, AI processing is computationally intensive, making... [more] | RECONF2023-2 pp.7-12 |
| RECONF | 2023-06-08 16:35 |
Kochi | Eikokuji Campus, Kochi University of Technology (Primary: On-site, Secondary: Online) |
Investigation of a method to accelerate the operation of the object detection model "YOLOX" on edge devices Hiroki Yoshida, Chikako Nakanishi (OIT) RECONF2023-4 |
(To be available after the conference date) [more] | RECONF2023-4 pp.17-22 |
| RECONF | 2023-06-08 17:00 |
Kochi | Eikokuji Campus, Kochi University of Technology (Primary: On-site, Secondary: Online) |
The object detection model "YOLOv7-tiny" Investigation of practical use in edge Shunsuke Funahashi, Chikako Nakanishi (OIT) RECONF2023-5 |
Edge AI has attracted much attention in recent years. Edge AI is AI that performs inference on inexpensive terminals. Cu... [more] | RECONF2023-5 pp.23-28 |
| CCS | 2022-03-27 10:25 |
Hokkaido | RUSUTSU RESORT HOTEL & CONVENTION (Primary: On-site, Secondary: Online) |
A novel hardware-oriented log-quantized optimizer for edge AI devices and their online learning Tatsuya Kaneko, Yoshiharu Yamagishi, Hiroshi Momose, Tetsuya Asai (Hokkaido Univ.) CCS2021-39 |
In recently, the concept of training neural networks (NN) at the edge has attracted much attention. Updating parameters... [more] |
CCS2021-39 pp.19-24 |
| VLD, HWS [detail] | 2022-03-08 13:25 |
Online | Online | A Study on Small Area Circuits for CMOS Image Sensors with Message Authentication Codes (1)
-- Drive Circuit and Pixel Array Configuration -- Yoshihiro Akamatsu, Hiroaki Ogawa, Tatsuya Oyama, Hayato Tatsuno, Yu Sekioka, Shunsuke Okura, Takeshi Fujino (Ritsumeikan Univ) VLD2021-97 HWS2021-74 |
In edge AI, the information acquired by sensors is classified or recognized at the edge, and therefore, guaranteeing the... [more] | VLD2021-97 HWS2021-74 pp.117-122 |
| IN, CCS (Joint) |
2021-08-05 14:25 |
Online | Online | Digital Implement of 3-layered Neural Networks with Stochastic Activation, Shunting Inhibition, and a Dual-rail Backpropagation Yoshiaki Sasaki, Seiya Muramatsu, Kohei Nishida, Megumi Akai-Kasaya, Tetsuya Asai (Hokkaido Univ.) CCS2021-16 |
Stochastic computing (SC) is an arithmetic technique that enables various operations to be performed with a small number... [more] | CCS2021-16 pp.7-13 |
| EMM, IT | 2021-05-20 16:10 |
Online | Online | [Invited Talk]
Secure Computation of Sparse Modeling
-- Edge AI with Lightweight and Small Amounts of Data -- Takayuki Nakachi (Univ. of the Ryukyus) IT2021-6 EMM2021-6 |
With the advent of the big data, IoT, AI era, all digital contents continue to increase. Sparse modeling is drawing atte... [more] | IT2021-6 EMM2021-6 pp.31-36 |
| NLP, NC (Joint) |
2020-01-24 13:50 |
Okinawa | Miyakojima Marine Terminal | Ternarized Backpropagation for Edge AI and its FPGA Implementation Tatsuya Kaneko, Yoshiharu Yamagishi, Hiroshi Momose, Tetsuya Asai (Hokkaido Univ.) NLP2019-95 |
In recent years there has been growing more interest in machine/deep learning. As following this movement, many types ... [more] |
NLP2019-95 pp.53-58 |
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