{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,6]],"date-time":"2025-12-06T17:17:27Z","timestamp":1765041447519,"version":"3.28.0"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,5,28]],"date-time":"2023-05-28T00:00:00Z","timestamp":1685232000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,5,28]],"date-time":"2023-05-28T00:00:00Z","timestamp":1685232000000},"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":[[2023,5,28]]},"DOI":"10.1109\/icc45041.2023.10279735","type":"proceedings-article","created":{"date-parts":[[2023,10,23]],"date-time":"2023-10-23T13:54:10Z","timestamp":1698069250000},"page":"3054-3059","source":"Crossref","is-referenced-by-count":2,"title":["Incentive Mechanism Design for Vertical Federated Learning"],"prefix":"10.1109","author":[{"given":"Ni","family":"Yang","sequence":"first","affiliation":[{"name":"City University of Hong Kong,Department of Computer Science,HKSAR"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Man Hon","family":"Cheung","sequence":"additional","affiliation":[{"name":"City University of Hong Kong,Department of Computer Science,HKSAR"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i8.20825"},{"key":"ref12","article-title":"Multi-participant multiclass vertical federated learning","volume":"abs 2001 11154","author":"feng","year":"2020","journal-title":"CoRR"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2022.3177522"},{"key":"ref14","article-title":"Multi-vfl: A vertical feder-ated learning system for multiple data and label owners","volume":"abs 2106 5468","author":"mugunthan","year":"2021","journal-title":"CoRR"},{"key":"ref20","article-title":"A comprehensive survey of incentive mechanism for federated learning","volume":"abs 2106 15406","author":"zeng","year":"2021","journal-title":"CoRR"},{"key":"ref11","article-title":"Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption","volume":"abs 1711 10677","author":"hardy","year":"2017","journal-title":"CoRR"},{"journal-title":"Convex optimization","year":"2014","author":"boyd","key":"ref22"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE51399.2021.00023"},{"key":"ref21","article-title":"On the convergence of fedavg on non-iid data","author":"li","year":"2020","journal-title":"8th International Conference on Learning Representations ICLR 2020 Addis Ababa Ethiopia April 26–30 2020"},{"key":"ref2","article-title":"Fed-erated learning of deep networks using model averaging","volume":"abs 1602 5629","author":"mcmahan","year":"2016","journal-title":"CoRR"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"5476","DOI":"10.1109\/JIOT.2020.3030072","article-title":"A survey on federated learning: The journey from centralized to distributed onsite learning and beyond","volume":"8","author":"rahman","year":"2021","journal-title":"IEEE Internet of Things Journal"},{"key":"ref17","first-page":"1","article-title":"Enabling long-term cooperation in cross-silo federated learning: A repeated game perspective","author":"zhang","year":"2022","journal-title":"IEEE Transactions on Mobile Computing"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM42981.2021.9488705"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TETC.2021.3063517"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/LNET.2019.2947144"},{"key":"ref8","article-title":"Vertical federated learning without revealing intersection membership","volume":"abs 2106 5508","author":"sun","year":"2021","journal-title":"CoRR"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3531536.3532960"},{"key":"ref9","article-title":"VAFL: a method of vertical asynchronous federated learning","volume":"abs 2007 6081","author":"chen","year":"2020","journal-title":"CoRR"},{"journal-title":"Federated Learning ser Synthesis Lectures on Artificial Intelligence and Machine Learning","year":"2019","author":"yang","key":"ref4"},{"key":"ref3","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume":"54","author":"mcmahan","year":"0","journal-title":"Proceedings of the 20th International Conference on Artificial Intelligence and Statistics 20–22 April 2017 Fort Lauderdale FL USA ser Proceedings of Machine Learning Research"},{"key":"ref6","article-title":"Split learning for health: Distributed deep learning without sharing raw patient data","volume":"abs 1812 564","author":"vepakomma","year":"2018","journal-title":"CoRR"},{"key":"ref5","article-title":"Label leakage and protection in two-party split learning","author":"li","year":"0","journal-title":"The Tenth International Conference on Learning Representations ICLR 2022 Virtual Event"}],"event":{"name":"ICC 2023 - IEEE International Conference on Communications","start":{"date-parts":[[2023,5,28]]},"location":"Rome, Italy","end":{"date-parts":[[2023,6,1]]}},"container-title":["ICC 2023 - IEEE International Conference on Communications"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10278505\/10278554\/10279735.pdf?arnumber=10279735","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,13]],"date-time":"2023-11-13T13:59:37Z","timestamp":1699883977000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10279735\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,28]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/icc45041.2023.10279735","relation":{},"subject":[],"published":{"date-parts":[[2023,5,28]]}}}