KEIO RESEARCHERS INFORMATION SYSTEM

Career 【 Display / hide 】

Career 【 Display / hide 】

• 1999.04

  -

  2002.02

  Real World Computing Partnership

• 2002.02

  -

  2003.03

  Hitachi, Ltd., Central Research Laboratory

• 2003.04

  -

  2004.03

  大学助手(有期)(理工学部システムデザイン工学科)

• 2004.04

  -

  2005.03

  専任講師(理工学部システムデザイン工学科)

• 2010.04

  -

  2014.03

  National Institute of Informatics, Invited Associate Professor

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Academic Background 【 Display / hide 】

Academic Background 【 Display / hide 】

• 1994.03

  Keio University, Faculty of Science and Engineering, 電気工学科

  University, Graduated

• 1996.03

  Keio University, Graduate School, Division of Science and Engineering, 計算機科学専攻

  Graduate School, Completed, Master's course

• 1999.03

  Keio University, Graduate School, Division of Science and Engineering, 計算機科学専攻

  Graduate School, Withdrawal after completion of doctoral course requirements, Doctoral course

Academic Degrees 【 Display / hide 】

Academic Degrees 【 Display / hide 】

• 博士(工学), Keio University, 1999.12

Research Areas 【 Display / hide 】

Research Areas 【 Display / hide 】

• Manufacturing Technology (Mechanical Engineering, Electrical and Electronic Engineering, Chemical Engineering) / Communication and network engineering (Communication/Network Engineering)

• Social Infrastructure (Civil Engineering, Architecture, Disaster Prevention) / Social systems engineering

• Social Infrastructure (Civil Engineering, Architecture, Disaster Prevention) / Safety engineering

• Informatics / Computer system (Computer System Network)

Research Keywords 【 Display / hide 】

Research Keywords 【 Display / hide 】

• ASIC / CPLD design

• Community/Cluster Energy Management System

• Smart City / Smart Community

• Internet backbone router

• Internet backbone router or switch architecture

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Books 【 Display / hide 】

Books 【 Display / hide 】

• 地球とつながる暮らしのデザイン

  NISHI HIROAKIet al, 株式会社シナノ, 2016.05

  Scope: 家のエネルギーの使い方のシンフォニー(pp.227-232)

• Smart Grid Research: Vehicular - IEEE Smart Grid Vision for Vehicular Technology: 2030 and Beyond Roadmap

  Hiroaki Nishi, Koichi Inoue, IEEE Standards Committee, 2015.06

• Anonymization infrastructure and open data in smart sustainable cities

  Jie Chang, Lei Gu, Wei Liu, Kanae Matsui, Hiroaki Nishi and Cuijuan Xia, Approved Deliverable of ITU-T (Telecommunicatino Standardization Section of ITU) Focus Group on Smart Sustainable Cities, 2015.04

• スマートメータ―からの情報をどう匿名化するか－電力自由化時代の個人情報の活用法－ 『インプレス SmartGrid ニューズレター』2014年7月号

  NISHI HIROAKI, 株式会社インプレス, 2014.07

• IEEE SMART GIRD VISION FOR VEHICULAR TECHNOLOGY: 2030 AND BVEYOND

  NISHI HIROAKI, IEEE Standard Association, 2014.02

  Scope: Chapter 1: Social, Economic, and Political Implications, Chapter 6 Sy stems, Operations, and Scenarios

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Papers 【 Display / hide 】

Papers 【 Display / hide 】

• pvFed: Personalized Vertical Federated learning for Client-Specific Tasks

  Akihito Nishikawa, Tomu Yanabe, Yuiko Sakuma, Yuma Okuda, Hiroaki Nishi

  IEEJ Transactions on Electrical and Electronic Engineering （IEEJ Transactions on Electrical and Electronic Engineering)  19 （ 6 ） 993 - 1000 2024.06

  ISSN  19314973

  　View Summary

  Federated Learning (FL) is a distributed machine learning paradigm that enables multiple data holders to collaborate on building machine learning models while preserving the privacy of their data. FL can be categorized as horizontal or vertical, depending on the distribution characteristics of the data. Specifically, horizontal FL uses data partitioned in the sample space, whereas vertical FL uses data partitioned in the feature space. Traditional vertical FL methods aim to facilitate collaboration among clients to infer a single global target. However, these methods may be impractical because each client often has a unique target to be inferred. In this paper, we propose a novel vertical FL method, called personalized vertical federated learning (pvFed), which addresses this limitation by allowing each client to perform inferences specific to their individual task. To the best of our knowledge, no existing method currently addresses this limitation. The objective of pvFed is to construct a global model that generates a representation vector to support client inference. The global model, constructed using distillation and dimensionality reduction, takes a sample ID common to all clients as input and outputs a sample-specific representation vector. Clients utilize the intermediate representation of their own model and the representation vectors output by the global model for inference. Because these vectors are not dependent on client-specific tasks, clients can repurpose them for any additional tasks. Our experiments, conducted on two distinct data types—image and tabular data sets, under a vertical partitioning where each client had its own specific task, demonstrated the efficacy of vectors generated by the global model in pvFed for client inference. © 2024 Institute of Electrical Engineer of Japan and Wiley Periodicals LLC.

  • Access to Document (DOI)

• FPGA Live Migration of Content-Based Anonymization Mechanism with Network Consistency

  Toyohara, T., Yamamoto, K., Nishi, H.

  IEEJ Transactions on Electrical and Electronic Engineering （IEEJ Transactions on Electrical and Electronic Engineering)  19 （ 4 ） 507 - 517 2024.04

  ISSN  19314973

  　View Summary

  In smart communities, data are aggregated, and various services are provided based on it. When considering the optimization of service delivery through cooperative processing between the edge and the cloud in smart communities, it is essential to realize network transparent edge services due to the constraints of not touching end devices in order to improve user convenience and additional cost reduction. Moreover, considering the minimization of service provision and service delivery latency at the edge, it is desirable to use field-programmable gate arrays (FPGAs), which have lower power consumption, lower latency, and higher throughput than conventional processors. Additionally, to advance towards even lower latency, the distribution of processing load is important, and service migration is necessary for this purpose. Service migration is generally used to increase service availability, and even for edge services, service migration is important because the distribution of processing and the location where the service should be provided changes over time due to user mobility. When considering network transparency, service migration should be performed on the communication path between the end device and the cloud. Furthermore, to enhance service transparency, it is essential to maintain communication consistency for continuous service provision and minimize service downtime. Therefore, this study proposes a migration mechanism with FPGAs to satisfy these requirements. As an example of a real application, we target a network-transparent data anonymization application to protect the privacy of data providers and evaluate the proposed architecture based on the reality of latency and other factors. © 2023 Institute of Electrical Engineer of Japan and Wiley Periodicals LLC.

  • Access to Document (DOI)

• Anonymity‐Aware Framework for Designing Recommender Systems

  M Honda, H Nishi

  IEEJ Transactions on Electrical and Electronic Engineering  2024

• Anonymity-Aware Framework for Designing Recommender Systems

  Moena Honda, Hiroaki Nishi

  IEEJ Transactions on Electrical and Electronic Engineering （IEEJ Transactions on Electrical and Electronic Engineering)   2024

  ISSN  19314973

  　View Summary

  Due to increasing secondary use of data, recommender systems using anonymized data are in demand. However, implementing a recommender system requires complicated data processing and programming, and the relationship between anonymization level and recommendation quality has not been investigated. Therefore, this study proposes a framework that facilitates the development of recommender systems. Additionally, a method is proposed for quantitatively evaluating recommendation quality when the anonymization level is varied. The proposed method promotes data utilization by recommender systems and determination of compensation for providing data based on anonymization level. © 2024 Institute of Electrical Engineer of Japan and Wiley Periodicals LLC.

  • Access to Document (DOI)

• FPGA Live Migration of Content‐Based Anonymization Mechanism with Network Consistency

  T Toyohara, K Yamamoto, H Nishi

  IEEJ Transactions on Electrical and Electronic Engineering 19 (4), 507-517  2024

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Papers, etc., Registered in KOARA 【 Display / hide 】

Papers, etc., Registered in KOARA 【 Display / hide 】

• マルチチャンネル音源を使用した異常音検知・分離・音源同定手法の提案と大型冷凍機を用いた評価

  Nishi, Hiroaki

  AICカンファレンス予稿集 （慶應義塾大学AI・高度プログラミングコンソーシアム)     59 - 59 2023

• 有用性保持を目的とした多次元データとしての経路情報匿名化

  Nishi, Hiroaki

  AICカンファレンス予稿集 （慶應義塾大学AI・高度プログラミングコンソーシアム)     55 - 55 2023

• Smart community information platform for providing critical services

  Nishi, Hiroaki

  科学研究費補助金研究成果報告書 2019

• Broadcast responsive vibration control system to reduce damage to facilities

  Nishi, Hiroaki

  科学研究費補助金研究成果報告書 2019

• Imprementation and deployment of content-based smart community infrastructure

  Nishi, Hiroaki

  科学研究費補助金研究成果報告書 2015

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Reviews, Commentaries, etc. 【 Display / hide 】

Reviews, Commentaries, etc. 【 Display / hide 】

• Sustainable energy consumption

  C Ramos, Z Vale, P Palensky, H Nishi

  Energies 14 (20), 6665 (Energies)  14 ( 20 )  2021.10

  ISSN  19961073

  • Access to Document (DOI)

• Preface

  Nishi H.

  ACM International Conference Proceeding Series (ACM International Conference Proceeding Series)     VII - VIII 2021.01

  ISSN  9781450388955

  • Access to Document (DOI)

Research Projects of Competitive Funds, etc. 【 Display / hide 】

Research Projects of Competitive Funds, etc. 【 Display / hide 】

• Smart Community Information Platform for Providing Critical Services

  2017.04

  -

  2020.03

  MEXT,JSPS, Grant-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (B), Principal investigator

Intellectual Property Rights, etc. 【 Display / hide 】

Intellectual Property Rights, etc. 【 Display / hide 】

• 電力制御システム

  Date applied： 2010-108910  2010.05 

  Patent, Joint

• 人数推定装置及び人数推定方法

  Date applied： 特願2009-292481  2009.12 

  Patent, Joint

• 換気量推定装置及び換気量推定方法

  Date applied： 特願2008-180072  2008.07 

  Patent, Joint

• マニピュレーター装置

  Date applied： 2007-103550  2007.04 

  Date announced： 2008-259607   

  Patent, Joint

• マスタスレーブ装置、マスタ装置、スレーブ装置、制御方法及びコンピュータプログラム

  Date applied： 特願:2006-302787  2006.11 

  Patent, Joint

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Awards 【 Display / hide 】

Awards 【 Display / hide 】

• 社団法人情報処理学会　計算機アーキテクチャ研究会若手奨励賞

  澤田 純一，西 宏章, 2012.01, 社団法人情報処理学会計算機アーキテクチャ研究会, 「低遅延匿名化処理機構における情報損失度改善手法の提案」

  Type of Award： Award from Japanese society, conference, symposium, etc.

• 社団法人情報処理学会CS賞

  石田慎一, 原島真悟, 鯉渕道紘, 川島英之, #H西宏章, 2011.07, 社団法人情報処理学会, 「コンテキストスイッチを利用したルータにおけるTCP ストリーム再構築のメモリ削減手法」

  Type of Award： Award from Japanese society, conference, symposium, etc.

• 第144回SLDM研究会優秀発表学生賞

  石田慎一, 原島真悟, 川島英之, 鯉渕道紘, 西 宏章, 2010.09, 社団法人情報処理学会システムLSI設計技術研究会, 「パケットデータ管理基盤における情報抽出処理の効率化技法」

  Type of Award： Award from Japanese society, conference, symposium, etc.

• 社団法人情報処理学会ユビキタスコンピューティング研究会優秀論文賞

  上吉　悠人，峰　豪毅，西　宏章, 2008.07, 「クラスタ型エネルギーマネジメントに向けた大学キャンパスのエネルギー計測システム」

  Type of Award： Award from Japanese society, conference, symposium, etc.

• 財団法人ファナックFAロボット財団論文賞

  水落　麻里子，辻　俊明，大西　公平，西　宏章, 2008.03, マルチレートサンプリング手法を用いた加速度制御系の実現

  Type of Award： Award from publisher, newspaper, foundation, etc.

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Other 【 Display / hide 】

Other 【 Display / hide 】

• 2014年

  　View Details

  ITU-T Focus Group - Smart Sustainable City

• 2010年

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  IEEE2030 Standard

Courses Taught 【 Display / hide 】

Courses Taught 【 Display / hide 】

• BACHELOR'S THESIS

  2024

• SEMINAR IN SYSTEM DESIGN ENGINEERING

  2024

• MULTI-MEDIA SYSTEMS DESIGN

  2024

• MACHINE LEARNING SYSTEM DESIGN

  2024

• LABORATORIES IN SYSTEM DESIGN ENGINEERING 2)

  2024

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Social Activities 【 Display / hide 】

Social Activities 【 Display / hide 】

• 一般社団法人 おもてなしICT協議会 代表理事

  2016.05

  -

  2019.03

• CANDER TPC member

  2016

  -

  Present

• 総務省「本格的なIoT時代に対応した情報通信技術の研究開発・標準化動向及びその推進のための調査・分析」事業における「IoT利活用のための共通ICT基盤の研究開発・標準化動向の調査検討グループ」グループ長

  2015.11

  -

  2016.03

• FPGA4GPC Program Committee Member

  2015.03

  -

  Present

• NEDO ノーマリーオフコンピューティングの普及検討委員会 委員

  2015.02

  -

  2015.05

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Memberships in Academic Societies 【 Display / hide 】

Memberships in Academic Societies 【 Display / hide 】

• 電信通信情報学会シニア会員, 

  2016.12

  -

  Present

• 情報処理学会計算機アーキテクチャ研究会, 

  2009.09

  -

  Present

• 建築学会, 

  2008.10

  -

  Present

• 電子情報通信学会コンピュータシステム研究専門委員会, 

  2005.05

  -

  Present

• 計測自動制御学会, 

  2003.05

  -

  Present

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Committee Experiences 【 Display / hide 】

Committee Experiences 【 Display / hide 】

• 2017.11

  -

  Present

  IEEE 2668 (IDEX) Standards Committee Member, IEEE 2668 (IDEX) Standards Committee Member

• 2017.11

  -

  Present

  IEEE P21451-1-6 Standards Committee Member, IEEE P21451-1-6 Standards Committee Member

• 2017.10

  -

  Present

  IEEE P1451.0 Standards Committee Member, IEEE P1451.0 Standards Committee Member

• 2017.10

  -

  Present

  IEEE P1451-99 Standards Committee Member, IEEE P1451-99 Standards Committee Member

• 2017.06

  -

  Present

  Urban Technology Alliance, Urban Technology Alliance

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