{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,15]],"date-time":"2026-01-15T23:12:23Z","timestamp":1768518743391,"version":"3.49.0"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,12,14]],"date-time":"2025-12-14T00:00:00Z","timestamp":1765670400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,12,14]],"date-time":"2025-12-14T00:00:00Z","timestamp":1765670400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,12,14]]},"DOI":"10.1109\/icpads67057.2025.11322926","type":"proceedings-article","created":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T20:36:54Z","timestamp":1768423014000},"page":"1-8","source":"Crossref","is-referenced-by-count":0,"title":["ESVFLR-Efficient and Secure Vertical Federated Logistic Regression"],"prefix":"10.1109","author":[{"given":"Changzhi","family":"Wang","sequence":"first","affiliation":[{"name":"Xi&#x0027;an Jiaotong University,TState Key Laboratory of Human-Machine Hybrid Augmented Intelligence"}]},{"given":"Wei","family":"Gao","sequence":"additional","affiliation":[{"name":"Xi&#x0027;an Jiaotong University,TState Key Laboratory of Human-Machine Hybrid Augmented Intelligence"}]},{"given":"Keyang","family":"Li","sequence":"additional","affiliation":[{"name":"Xi&#x0027;an Jiaotong University,TState Key Laboratory of Human-Machine Hybrid Augmented Intelligence"}]},{"given":"Xiaosong","family":"Hou","sequence":"additional","affiliation":[{"name":"Shaanxi Yanchang Petroleum Power Sales Co., Ltd."}]},{"given":"Haoming","family":"Ma","sequence":"additional","affiliation":[{"name":"Shaanxi Yanchang Petroleum Power Sales Co., Ltd."}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330765"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i12.17301"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3474369.3486872"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467210"},{"key":"ref5","author":"Yang","year":"2019","journal-title":"Parallel distributed logistic regression for vertical federated learning without third-party coordinator"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MIC.2021.3138853"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS51556.2021.9401521"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s12083-020-01017-x"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE51399.2021.00023"},{"key":"ref10","author":"Weng","year":"2020","journal-title":"Privacy leakage of real-world vertical federated learning"},{"key":"ref11","author":"Li","year":"2021","journal-title":"Privacy threats analysis to secure federated learning"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.2478\/popets-2022-0045"},{"issue":"11","key":"ref13","first-page":"169","article-title":"On data banks and privacy homomorphisms","volume":"4","author":"Rivest","year":"1978","journal-title":"Foundations of secure computation"},{"key":"ref14","article-title":"A fully homomorphic encryption scheme","author":"Gentry","year":"2009","journal-title":"Stanford university"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/2633600"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-40041-4_5"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-48910-X_16"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-73458-1_30"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/BFb0054135"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3298981"},{"key":"ref21","author":"Liu","year":"2021","journal-title":"Achieving model fairness in vertical federated learning"},{"key":"ref22","author":"Zheng","year":"2020","journal-title":"A vertical federated learning method for interpretable scorecard and its application in credit scoring"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3627993"},{"key":"ref24","article-title":"Label inference attacks against vertical federated learning","volume-title":"31st USENIX Security Symposium (USENIX Security 22)","author":"Fu","year":"2022"},{"key":"ref25","author":"Zhang","year":"2020","journal-title":"Additively homomorphical encryption based deep neural network for asymmetrically collaborative machine learning"},{"key":"ref26","author":"Hardy","year":"2017","journal-title":"Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption"}],"event":{"name":"2025 IEEE 31th International Conference on Parallel and Distributed Systems (ICPADS)","location":"Hefei, China","start":{"date-parts":[[2025,12,14]]},"end":{"date-parts":[[2025,12,18]]}},"container-title":["2025 IEEE 31th International Conference on Parallel and Distributed Systems (ICPADS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11322805\/11322871\/11322926.pdf?arnumber=11322926","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,15]],"date-time":"2026-01-15T07:41:54Z","timestamp":1768462914000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11322926\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,14]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/icpads67057.2025.11322926","relation":{},"subject":[],"published":{"date-parts":[[2025,12,14]]}}}