{"created":"2025-01-19T01:13:49.825497+00:00","updated":"2025-01-19T17:20:12.730913+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00212906","sets":["6164:6165:6640:10712"]},"path":["10712"],"owner":"44499","recid":"212906","title":["リッチクライアントを用いた分散機械学習における画像認識の検討"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-06-23"},"_buckets":{"deposit":"57aadf11-dc2e-4f93-aee4-fd21d7fe2947"},"_deposit":{"id":"212906","pid":{"type":"depid","value":"212906","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"リッチクライアントを用いた分散機械学習における画像認識の検討","author_link":["543895","543898","543897","543896","543894"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"リッチクライアントを用いた分散機械学習における画像認識の検討"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"エッジコンピューティング","subitem_subject_scheme":"Other"}]},"item_type_id":"18","publish_date":"2021-06-23","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":"お茶の水女子大学"},{"subitem_text_value":"東京大学"},{"subitem_text_value":"東京大学"},{"subitem_text_value":"工学院大学"},{"subitem_text_value":"お茶の水女子大学"}]},"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/212906/files/IPSJ-DICOMO2021008.pdf","label":"IPSJ-DICOMO2021008.pdf"},"date":[{"dateType":"Available","dateValue":"2023-06-23"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-DICOMO2021008.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":"44"}],"accessrole":"open_date","version_id":"f610dd82-d217-4686-a3c7-074cbccbefc5","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":"高野, 紗輝"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"中尾, 彰宏"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"山本, 周"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"山口, 実靖"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"小口, 正人"}],"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":"近年スマートフォンや IoT デバイスが普及し，低遅延やネットワークの負荷分散が可能といった利点を持つエッジコンピューティングに注目が集まっている．現在行われているこの分野の研究では，デバイス側はセンシングと通信を行うだけの位置付けとなっているものが多い．一方で，高性能な CPU や GPU を搭載したデバイスが登場し，これらのリッチクライアントを用いてデータの発生源であるデバイス側で処理を行うと，プライバシの保護や通信コストの削減が可能といった点で優れたシステムを構築できると考えられる．そこで，リッチクライアント上でも学習を行うエッジコンピューティングモデルの検討を行う．本稿では，機密性が高く，容量の大きな顔画像を用いて実験を行い，提案モデルにおいてプライバシや通信コスト，負荷分散の点で利点があることを確認した．","subitem_description_type":"Other"}]},"item_18_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"53","bibliographic_titles":[{"bibliographic_title":"マルチメディア，分散協調とモバイルシンポジウム2021論文集"}],"bibliographicPageStart":"46","bibliographicIssueDates":{"bibliographicIssueDate":"2021-06-23","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2021"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":212906,"links":{}}