{"links":{},"id":240875,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00240875","sets":["6164:6165:6462:11854"]},"path":["11854"],"owner":"11","recid":"240875","title":["ドロップアウト耐性のある連合学習における計算と通信コストのトレードオフ調整"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2024-10-15"},"_buckets":{"deposit":"77d74b6f-45b3-4eb4-b804-84bc73c2bb29"},"_deposit":{"id":"240875","pid":{"type":"depid","value":"240875","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"ドロップアウト耐性のある連合学習における計算と通信コストのトレードオフ調整","author_link":["661869","661870","661871","661872","661873","661874","661875","661876","661877","661878"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ドロップアウト耐性のある連合学習における計算と通信コストのトレードオフ調整","subitem_title_language":"ja"},{"subitem_title":"Balancing Computation and Communication for Dropout-tolerant Federated Learning","subitem_title_language":"en"}]},"item_type_id":"18","publish_date":"2024-10-15","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":"大阪大学"},{"subitem_text_value":"大阪大学"},{"subitem_text_value":"大阪大学"},{"subitem_text_value":"大阪大学"},{"subitem_text_value":"島根大学"}]},"item_18_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Osaka University","subitem_text_language":"en"},{"subitem_text_value":"Osaka University","subitem_text_language":"en"},{"subitem_text_value":"Osaka University","subitem_text_language":"en"},{"subitem_text_value":"Osaka University","subitem_text_language":"en"},{"subitem_text_value":"Shimane 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/240875/files/IPSJ-CSS2024129.pdf","label":"IPSJ-CSS2024129.pdf"},"date":[{"dateType":"Available","dateValue":"2026-10-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CSS2024129.pdf","filesize":[{"value":"502.5 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"30"},{"tax":["include_tax"],"price":"0","billingrole":"46"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"4c8543dd-04d9-4eb1-bfba-bf88213b7fe2","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_18_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"増田, 大輝"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"北, 健太朗"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"小泉, 佑揮"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"武政, 淳二"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"長谷川, 亨"}],"nameIdentifiers":[{}]}]},"item_18_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Hiroki, Masuda","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kentaro, Kita","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yuki, Koizumi","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Junji, Takemasa","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Toru, Hasegawa","creatorNameLang":"en"}],"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":"連合学習は教師データのプライバシーを保護するための有望な分散機械学習システムである．しかし，ユーザのローカルモデルからデータが漏洩するリスクがある．このリスクに対処するため，ローカルモデルのマスクによるセキュアアグリゲーションプロトコルが提案されているが，既存のプロトコルは，ドロップアウトユーザの対策において計算と通信コストの間にトレードオフがある．ナイーブなプロトコルは，マスクの代わりに鍵を交換するため通信コストが低いが，サーバによる鍵からのマスクの復元に高い計算コストがかかる．最先端のプロトコルは，マスクを交換することでサーバの計算コストを削減するが，ユーザによるマスク交換に高い通信コストがかかる．本研究では，両方のプロトコルの強みを生かし，計算と通信コストのトレードオフを調整するセキュアアグリゲーションプロトコルを提案する．","subitem_description_type":"Other"}]},"item_18_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Federated learning is a promising distributed learning system that protects the privacy of training data. However, there is still a risk of data leakage from users' local models. To address this risk, secure aggregation using local model masking has been proposed, but existing secure aggregation protocols face a trade-off between computation and communication costs for handling dropout users. A naive protocol achieves a low communication cost by exchanging keys instead of masks, but it requires a high computation cost for the server to reconstruct masks from these keys. On the other hand, a state-of-the-art protocol reduces the server's computation cost by exchanging the masks directly, but this mask-exchange results in a high communication cost. This paper proposes a secure aggregation protocol that balances the trade-off between the computation and communication costs by complementing the strengths of both protocols.","subitem_description_type":"Other"}]},"item_18_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"968","bibliographic_titles":[{"bibliographic_title":"コンピュータセキュリティシンポジウム2024論文集"}],"bibliographicPageStart":"961","bibliographicIssueDates":{"bibliographicIssueDate":"2024-10-15","bibliographicIssueDateType":"Issued"}}]},"relation_version_is_last":true,"weko_creator_id":"11"},"created":"2025-01-19T01:45:19.012806+00:00","updated":"2025-03-06T05:35:24.315952+00:00"}