{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00213363","sets":["6164:6165:7006:10727"]},"path":["10727"],"owner":"44499","recid":"213363","title":["計算資源の限られた小型センサ端末のための勾配ブースティング連合学習"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-10-18"},"_buckets":{"deposit":"5a26fced-d23a-4b24-8be7-3688ea17a089"},"_deposit":{"id":"213363","pid":{"type":"depid","value":"213363","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"計算資源の限られた小型センサ端末のための勾配ブースティング連合学習","author_link":["545828","545827","545829"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"計算資源の限られた小型センサ端末のための勾配ブースティング連合学習"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Internet of Things，分散学習，Gradient Boosting Decision Tree，Federated Learning","subitem_subject_scheme":"Other"}]},"item_type_id":"18","publish_date":"2021-10-18","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_18_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"青山学院大学大学院理工学研究科理工学専攻"},{"subitem_text_value":"青山学院大学理工学部情報テクノロジー学科"},{"subitem_text_value":"青山学院大学理工学部情報テクノロジー学科"}]},"item_18_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Science and Engineering, Aoyama Gakuin University","subitem_text_language":"en"},{"subitem_text_value":"Department of Integrated Information Technology, Aoyama\nGakuin University","subitem_text_language":"en"},{"subitem_text_value":"Department of Integrated Information Technology, Aoyama Gakuin University","subitem_text_language":"en"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/213363/files/IPSJ-DPSWS2021010.pdf","label":"IPSJ-DPSWS2021010.pdf"},"date":[{"dateType":"Available","dateValue":"2023-10-18"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-DPSWS2021010.pdf","filesize":[{"value":"1.5 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"34"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"3fb5e4d4-32b3-4b7c-a6cc-cda28c42559d","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2021 by the Information Processing Society of Japan"}]},"item_18_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"山下, 優衣"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"田谷, 昭仁"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"戸辺, 義人"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_18_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"近年，気軽に身に着けることのできるウェアラブル端末が普及している．このような端末から取得可能なデータの処理には機械学習が用いられることが多いが，より高精度な予測モデルを作るためには大量のデータが必要となる．サーバを用いてデータを収集し，それらをビッグデータとし学習することも可能であるが，サーバの利用は管理の手間やデータの一極集中が生じることと収集したデータのプライバシが保護されないことが課題となる．本稿では，これらの課題を解決するため，サーバを用いずに端末間で分散学習を行う機械学習手法を提案する．提案手法では，計算リソースの限られたウェアラブル端末を想定し，決定木の勾配ブースティングを用いる．また，プライバシを保護するために端末間ではデータではなく学習モデルを共有する．","subitem_description_type":"Other"}]},"item_18_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"77","bibliographic_titles":[{"bibliographic_title":"第29回マルチメディア通信と分散処理ワークショップ論文集"}],"bibliographicPageStart":"72","bibliographicIssueDates":{"bibliographicIssueDate":"2021-10-18","bibliographicIssueDateType":"Issued"}}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":213363,"updated":"2025-01-19T17:11:13.485284+00:00","links":{},"created":"2025-01-19T01:14:14.767925+00:00"}